.
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the TSB patent database at .
+
+© ITU 2019
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | Page |
+|---------------------------------------------------------------------------------------|------|
+| 1 Scope..... | 1 |
+| 2 References..... | 1 |
+| 3 Definitions ..... | 1 |
+| 3.1 Terms defined elsewhere..... | 1 |
+| 3.2 Terms defined in this Recommendation..... | 2 |
+| 4 Abbreviations and acronyms ..... | 2 |
+| 5 Conventions ..... | 3 |
+| 6 Overview of the physical machine ..... | 3 |
+| 6.1 Introduction to the computing machine..... | 3 |
+| 6.2 Introduction to the physical machine ..... | 4 |
+| 6.3 Types of physical machine ..... | 6 |
+| 6.4 Virtualization in physical machines ..... | 7 |
+| 6.5 Scalability of components in the physical machine ..... | 8 |
+| 7 Functional requirements for a physical machine ..... | 9 |
+| 7.1 Component requirements..... | 9 |
+| 7.2 I/O interface requirements ..... | 12 |
+| 7.3 Operation requirements ..... | 12 |
+| 7.4 Scalability requirements ..... | 12 |
+| 7.5 Security requirements..... | 13 |
+| 7.6 Reliability requirement..... | 13 |
+| 8 Security considerations ..... | 13 |
+| Appendix I – Comparison between functional requirements and other specifications..... | 14 |
+| I.1 Specifications and other SDOs ..... | 14 |
+| I.2 Relationship with related specifications from other SDOs ..... | 20 |
+| Appendix II – Use cases of the physical machine for cloud computing..... | 40 |
+| Bibliography..... | 52 |
+
+
+
+# **Recommendation ITU-T Y.3507**
+
+# Cloud computing – Functional requirements of physical machine
+
+## 1 Scope
+
+This Recommendation provides the functional requirements of the physical machine for cloud computing based on cloud computing infrastructure requirements presented in [ITU-T Y.3510]. This Recommendation addresses the following:
+
+- Overview of the physical machine;
+- Functional requirements of the physical machine. The functional requirements provided in this Recommendation are derived from use cases.
+
+NOTE 1 – This Recommendation does not advocate, imply, or assume the use of any specific set or sets of technical specifications. Examples of such sets of technical specifications can be found in Appendix I.
+
+NOTE 2 – This Recommendation addresses a set of use cases which are included in Appendix II.
+
+# 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+- | | |
+|----------------|--------------------------------------------------------------------------------------------------------------------------------------|
+| [ITU-T Y.3100] | Recommendation ITU-T Y.3100 (2017), Terms and definitions for IMT-2020 network . |
+| [ITU-T Y.3500] | Recommendation ITU-T Y.3500 (2014) ISO/IEC 17788:2014, Information technology – Cloud computing – Overview and vocabulary . |
+| [ITU-T Y.3510] | Recommendation ITU-T Y.3510 (2016), Cloud computing infrastructure requirements . |
+| [ITU-T Y.3521] | Recommendation ITU-T Y.3521/M.3070 (2016), Overview of end-to-end cloud computing management . |
+| [ITU-T X.1601] | Recommendation ITU-T X.1601 (2015), Security framework for cloud computing . |
+
+# 3 Definitions
+
+### 3.1 Terms defined elsewhere
+
+This Recommendation uses the following terms defined elsewhere:
+
+**3.1.1 cloud computing** [ITU-T Y.3500]: Paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on-demand.
+
+**3.1.2 cloud service** [ITU-T Y.3500]: One or more capabilities offered via cloud computing invoked using a defined interface.
+
+**3.1.3 cloud service customer** [ITU-T Y.3500]: Party which is in a business relationship for the purpose of using cloud services.
+
+**3.1.4 cloud service provider** [ITU-T Y.3500]: Party which makes cloud services available.
+
+**3.1.5 physical resource** [ITU-T Y.3100]: A physical asset for computation, storage and/or networking.
+
+NOTE – Components, systems and equipment can be regarded as physical resources
+
+### **3.2 Terms defined in this Recommendation**
+
+This Recommendation defines the following term:
+
+**3.2.1 physical machine:** A type of computing machine providing physical resources.
+
+NOTE – A computing machine provides allocation and scheduling of processing resources. Types of computing machine are physical or virtual [ITU-T Y.3510].
+
+# **4 Abbreviations and acronyms**
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|-------|-------------------------------------------|
+| AC | Alternating Current |
+| AI | Artificial intelligence |
+| API | Application Programming Interface |
+| ATA | AT Attachment |
+| CD | Compact Disc |
+| CPU | Central Processing Unit |
+| CSC | Cloud Service Customer |
+| CSP | Cloud Service Provider |
+| DC | Direct Current |
+| DRAM | Dynamic Random Access Memory |
+| ECC | Error Correcting Code |
+| FSC | Fan Speed Control |
+| GPU | Graphics Processing Unit |
+| HDD | Hard Disk Drive |
+| I2C | Inter-Integrated Circuit |
+| IDE | Integrated Development Environment |
+| IaaS | Infrastructure as a Service |
+| IPMI | Intelligent Platform Management Interface |
+| IT | Information Technology |
+| I/O | Input/Output |
+| iSCSI | Internet Small Computer System Interface |
+| NIC | Network Interface Card |
+| NFV | Network Function Virtualization |
+| NGFF | Next Generation Form Factor |
+| mSATA | Mini-Serial AT Attachment |
+| OPEX | Operational Expenditure |
+
+| | |
+|-------|---------------------------------------------|
+| OS | Operating System |
+| PCI | Peripheral Component Interconnect |
+| PCI-E | Peripheral Component Interconnect Express |
+| PDU | Power Distribution Unit |
+| PMBus | Power Management Bus |
+| PWM | Pulse Width Modulation |
+| RAID | Redundant Array of Independent Disks |
+| RPM | Revolutions Per Minute |
+| ROM | Read-Only Memory |
+| SAS | Serial Attached SCSI |
+| SATA | Serial AT Attachment |
+| SCSI | Small Computer System Interface |
+| SEL | System Event Log |
+| SoC | System-on-a-Chip |
+| SRAM | Static Random Access Memory |
+| TCP | Transmission Control Protocol |
+| UART | Universal Asynchronous Receiver/Transmitter |
+| USB | Universal Serial Bus |
+| VGA | Video Graphics Array |
+| VM | Virtual Machine |
+
+# **5 Conventions**
+
+In this Recommendation:
+
+The keywords "is required to" indicate a requirement which must be strictly followed and from which no deviation is permitted if conformance to this document is to be claimed.
+
+The keywords "is recommended" indicate a requirement which is recommended but which is not absolutely required. Thus this requirement need not be present to claim conformance.
+
+The keywords "is not recommended" indicate a requirement which is not recommended but which is not specifically prohibited. Thus, conformance with this specification can still be claimed even if this requirement is present.
+
+The keywords "can optionally" indicate an optional requirement which is permissible, without implying any sense of being recommended. This term is not intended to imply that the vendor's implementation must provide the option and the feature can be optionally enabled by the network operator/service provider. Rather, it means the vendor may optionally provide the feature and still claim conformance with the specification.
+
+# **6 Overview of the physical machine**
+
+## **6.1 Introduction to the computing machine**
+
+Cloud infrastructure includes processing, storage, networking and other hardware resources, as well as software assets, for more information see clause 6 in [ITU-T Y.3510]. Processing resources are
+
+used to provide essential capabilities for cloud services and to support other system capabilities such as resource abstraction and control, management, security and monitoring.
+
+A computing machine provides allocation and scheduling of processing resources. Types of computing machine are physical or virtual [ITU-T Y.3510]. The capability of a computing machine is typically expressed in terms of configuration, availability, scalability, manageability and energy consumption [ITU-T Y.3510].
+
+The requirements of the virtual machine, as one of categories of the computing machine, have been specified in [ITU-T Y.3510]. Those requirements include virtualization technologies that can be applied to resource types such as the central processing unit (CPU), memory, input/output (I/O) and network interfaces. Several requirements regarding virtual machine management have also been identified, e.g., duplication of a virtual machine (VM) dynamic/static migration of a VM and management automation.
+
+For the physical machine, [ITU-T Y.3510] defines three requirements as follows.
+
+- It is recommended to support hardware resource virtualization.
+- It is recommended to support horizontal scalability (e.g., adding more computing machines) and vertical scalability (e.g., adding more resources with a computing machine).
+- It is recommended to use power optimization solutions to reduce energy consumption.
+
+It is inferred from the requirements that the physical machine supports scalable resources with consideration of energy consumption.
+
+Figure 6-1 shows the conceptual diagram of a computing machine in [ITU-T Y.3510].
+
+
+
+The diagram illustrates the architecture of a computing machine, organized into three main layers:
+
+- Virtual machine layer:** This layer is divided into two sections:
+ - VM management:** Contains three sub-components: VM duplication, VM migration, and VM automation.
+ - Resource virtualization:** Contains four sub-components: CPU pool, Memory pool, I/O pool, and Network pool.
+- Physical machine layer:** This layer contains four sub-components: CPU, Memory, I/O, and Network.
+
+Vertical double-headed arrows connect the Resource virtualization layer to the Physical machine layer, indicating bidirectional interaction between the virtualized pools and the underlying physical resources.
+
+Y.3507(18)\_F6-1
+
+Conceptual diagram of a computing machine showing the relationship between Virtual machine, Resource virtualization, and Physical machine layers.
+
+**Figure 6-1 – Concept of a computing machine in [ITU-T Y.3510]**
+
+A virtual machine provides virtualized resource pools using virtualization technologies specific to physical resource types like CPU, memory, I/O and network from a physical machine. The virtual machine also covers management issues.
+
+Since all cloud services have to reside and operate on physical machines, it is important for the cloud service providers and especially for the infrastructure as a service (IaaS) cloud service provider (CSP) who will build the cloud infrastructure, as well as for the manufacturer who will sell the cloud infrastructure, to identify specific requirements of the physical machine.
+
+## 6.2 Introduction to the physical machine
+
+The physical machine is a type of computing machine in which the cloud services must reside and operate and that provides physical resources, such as processing, storage, networking, etc.
+
+Figure 6-2 depicts an overview of the physical machine. The scope of this Recommendation focuses on the physical machine.
+
+
+
+The diagram illustrates the components of a physical machine. A large bracket on the left labels the entire assembly as the 'Physical machine'. Inside, an 'Interconnect network' (dashed box) connects to 'Processing unit 1' and 'Processing unit N (N>1)'. Each processing unit contains 'CPU', 'Memory', 'Storage', and 'I/O' components, all situated on a 'Motherboard' (solid box). Below the processing units are 'Power supply' and 'Cooling' systems (solid boxes). A 'Management component' (solid box) is positioned on the right, with bidirectional arrows indicating management-related interactions with the processing units and the power/cooling systems. A legend at the bottom clarifies the symbols: a double-headed arrow for 'Network data exchange', a single-headed arrow for 'Management related interactions', a solid line for 'Mandatory component', and a dashed line for 'Optional component'.
+
+Figure 6-2: Overview of the physical machine. The diagram shows a 'Physical machine' enclosure containing an 'Interconnect network' (optional), multiple 'Processing units' (mandatory), a 'Motherboard' (mandatory), 'Power supply' (mandatory), and 'Cooling' (mandatory). A 'Management component' is shown on the right, interacting with the processing units and power/cooling systems. A legend at the bottom defines symbols for network data exchange, management interactions, mandatory components, and optional components.
+
+**Figure 6-2 – Overview of the physical machine**
+
+The physical machine is composed of multiple components, which are described as follows:
+
+- **Processing units:** A processing unit has CPUs, memories, storages and I/O devices. These sub-components in a processing unit are physically implemented on a motherboard. The processing unit is the basic element as a hardware processing resource and normally multiple processing units are involved to provide capacity of resources. Processing units is a mandatory component for the physical machine. A single processing unit type physical machine has only one processing unit, while a multi-processing unit type physical machine has two or more processing units.
+- **Interconnect network:** An interconnect network has a role of connecting multiple processing units aiming to be used to share resources in individual processing units through virtualization. In addition, the interconnect network provides a communication interface to other external physical machines. An interconnect network is an optional component only for multi-processing unit type physical machines.
+- **Enclosure:** An enclosure includes multiple processing units and other components such as power supply, cooling and interconnect network (in some cases) by providing the form factor with metal apparatus that specifies the physical dimensions of a physical machine. The enclosure also shields the electromagnetic components and helps to dissipate heat of other components. An enclosure is a mandatory component for a physical machine.
+- **Power supply:** A power supply provides electrical power to all components in an enclosure. The power supply converts AC power into DC power which all components use to operate and provides redundancy to ensure that the stability and operability of a physical machine is maintained even in the case that a physical machine's power goes out. Power supply is a mandatory component for the physical machine.
+- **Cooling:** A cooling system is for maintaining a certain range of temperature in an enclosure by cooling heat generated due to operation of the physical machine. The implementation type can vary depending on cooling materials (e.g., air-cooled or a water-cooled type) and form factors (e.g., air flow or water pipes) of an enclosure. Cooling is a mandatory component for the physical machine.
+
+- **Management component:** A management component monitors and controls all components in a physical machine, by analyzing the gathered status information from the components. A management component is a mandatory component for the physical machine.
+
+NOTE – Standard interfaces (e.g., I2C, PMbus, Ethernet, UART, PWM) are normally used to communicate between the management component and others.
+
+Beside these components, the following are needed to manage and operate the physical machine:
+
+- I/O interface is used for I/O device to communicate with other physical machines or CSC/CSP. The I/O interface has two capabilities (i) capability to provide the channel for data input and output of the physical machine, (ii) capability to provide the channel for CSP/CSC to access the physical machine. The I/O interface follows industrial standards so that the CSP could select and replace the components from multiple vendors. The cloud computing management system communicates with the physical machines without any other development by the standard management interface.
+- Physical machine operation reports and maintains its running information, as well as environment condition periodically to the cloud computing management system [ITU-T Y.3521]. In addition, the administrator can operate the physical machine with operation capabilities.
+- Scalability of components in the physical machines allows the physical machines to extend their resources elastically in the processing units, power supply and cooling system.
+- Security of the physical machine provides access control of the processing units.
+- Reliability of the physical machine is to keep physical machine consistently performing as expected. To provide reliability, when some components fail, the physical machine needs to support, detect and locate the faulty components.
+
+## 6.3 Types of physical machine
+
+#### 6.3.1 Single processing unit type
+
+The single processing unit type of physical machine has one processing unit, a single management component as well as one or more power supplies and cooling components. Since a single processing unit type has only one processing unit, no interconnect network component is involved in this type.
+
+NOTE – An example of single processing unit type is a rack server [b-OCP BS].
+
+
+
+The diagram illustrates the architecture of a single processing unit type physical machine. It is contained within an 'Enclosure'. Inside the enclosure, there is a 'Processing unit' and a 'Management component'. The 'Processing unit' is composed of several sub-components: 'CPU', 'Memory', 'Storage', and 'I/O', all of which are connected to a central 'Motherboard'. The 'Management component' is connected to the 'Processing unit' and also to 'Power supply' and 'Cooling' components. The 'Power supply' and 'Cooling' components are connected to the 'Enclosure'.
+
+Diagram of a single processing unit type physical machine. The diagram shows an 'Enclosure' containing a 'Processing unit' and a 'Management component'. The 'Processing unit' is further divided into 'CPU', 'Memory', 'Storage', and 'I/O' components, all connected to a 'Motherboard'. The 'Management component' is connected to the 'Processing unit' and also to 'Power supply' and 'Cooling' components. The 'Power supply' and 'Cooling' components are connected to the 'Enclosure'.
+
+Y.3507(18)\_F6-3
+
+Figure 6-3 – Example of single processing unit type
+
+#### 6.3.2 Multi-processing unit type
+
+The multi-processing unit type has two or more processing units, as well as one or more power supplies, cooling components and a single management component and a single interconnect network.
+
+NOTE – Examples of a multi-processing unit type are blade servers [b-OCP OSR] and rack scale servers [b-OCP OCSC].
+
+
+
+The diagram illustrates a multi-processing unit type enclosure. At the top, an 'Interconnect network' box is connected via bidirectional arrows to two 'Processing unit' boxes (Processing unit 1 and Processing unit 2) and a vertical 'Management component' box on the right. Each processing unit contains a 'Motherboard' box, which in turn contains 'CPU', 'Memory', 'Storage', and 'I/O' components. Below the processing units are 'Power supply' and 'Cooling' boxes. Arrows indicate connections from the 'Management component' box to the 'Motherboard' boxes, the 'Power supply' box, and the 'Cooling' box. The entire system is enclosed within a large box labeled 'Enclosure' at the bottom.
+
+Diagram of a multi-processing unit type enclosure.
+
+Figure 6-5 – Example of a multi-processing unit type
+
+## 6.4 Virtualization in physical machines
+
+This clause identifies different types of virtualization of the components in processing units such as CPUs, memory and I/Os. The mode of virtualization in each component can be software based mode or hardware-assisted mode. The requirements in this Recommendation only consider the hardware-assisted mode for virtualization.
+
+#### 6.4.1 CPU virtualization
+
+CPU virtualization technology makes a single CPU act as if it was multiple individual CPUs. There are different ways to implement CPU virtualization. CPU virtualization can be implemented in software-based mode and in hardware-assisted mode:
+
+- In software based mode, the privileged instructions are simulated by software.
+- In hardware-assisted mode, the privileged instructions can be directly run by the physical CPU to achieve higher performance. Hardware-assisted mode requires the CPU to support a virtualization instruction set.
+
+NOTE – The difference between the two modes is in the execution of privileged instructions in VM's operating system (OS).
+
+#### 6.4.2 Memory virtualization
+
+Memory virtualization abstracts physical memory to a divided virtual memory for use by a virtual machine. There are two modes of memory virtualization: software-based and hardware-assisted memory virtualization:
+
+- Software-based mode builds a software based memory mapping table.
+- In hardware-assisted mode, a memory mapping table is implemented in hardware with better performance.
+
+NOTE – The difference between the two modes is the mapping between virtual memory and physical memory.
+
+#### **6.4.3 I/O virtualization**
+
+I/O virtualization refers to dividing a single physical I/O into multiple isolated logical I/Os. There are two modes of I/O virtualization: software based and hardware-assisted I/O virtualization:
+
+- Software based mode simulates I/O devices based on software.
+- The hardware-assisted mode provides better performance by reducing a hypervisor's participation in I/O processing by using hardware.
+
+A network adapter is an I/O device specifically for data transmission. A network adapter provides an isolated logical I/O based on a single physical I/O to receive and send data packets inside and outside of a physical machine as virtual network interfaces in order to improve interface utilization.
+
+## **6.5 Scalability of components in the physical machine**
+
+Scalability of components in a physical machine allows enhancing the processing unit, power supply and cooling components of the physical machine.
+
+#### **6.5.1 Scalability of the processing unit**
+
+Scalability of the processing unit allows the processing units of a physical machine to be expanded. Scalability of the processing unit provides more hardware processing resources in order to meet potential growth needs, such as providing more CPU and memory resources to host more VMs with the growth of business needs.
+
+There are several ways to expand processing units as shown hereafter with availability of motherboard interfaces and enclosure:
+
+- Replacing components of a processing unit with other components with higher capability, such as a CPU, memory, storage and I/O devices;
+- Adding components to a processing unit, such as a CPU, memory, storage and I/O devices;
+- Replacing processing units with other processing units with higher capability;
+- Adding processing units to the physical machine.
+
+#### **6.5.2 Scalability of power supply**
+
+Scalability of power supply allows the power supply of a physical machine to be expanded. Scalability of power supply provides more power in future for the potential increasing power consumption needs of the physical machine, such as providing more power for additional processing units.
+
+There are several ways to expand power supply as shown hereafter with availability of enclosure:
+
+- Replacing power supplies of a physical machine with other power supplies with higher capability;
+- Adding power supplies to the physical machine.
+
+#### **6.5.3 Scalability of cooling**
+
+Scalability of cooling allows the cooling capability of a physical machine to be increased. Scalability of cooling provides a higher cooling capability to meet the potential increasing cooling needs of the physical machine.
+
+There are several ways to expand cooling capability as shown hereafter with availability of enclosure:
+
+- Replacing cooling components of a physical machine with other cooling components with higher capability;
+- Adding cooling components to the physical machine.
+
+# **7 Functional requirements for a physical machine**
+
+### **7.1 Component requirements**
+
+#### **7.1.1 Processing unit requirements**
+
+##### **7.1.1.1 CPU requirements**
+
+- **Virtualization instruction set:** It is recommended that a physical machine supports a CPU virtualization instruction set to improve the performance of CPU virtualization.
+- **CPU replacement:** It is recommended that a physical machine supports substitution of CPU with other CPUs to allow CPU upgrade or replacement of faulty CPUs.
+- **Multiple CPUs:** It is recommended that a physical machine supports multiple CPUs to achieve higher performance.
+- **Low power consumption of CPU:** It is recommended that a physical machine supports low power consumption of CPU to reduce the operational expenditure (OPEX).
+
+##### **7.1.1.2 Memory requirements**
+
+- **Hardware-assisted memory virtualization:** It is recommended that a physical machine supports hardware-assisted memory virtualization to improve the performance of memory virtualization.
+- **Memory replacement:** It is recommended that a physical machine supports substitution of memory with other memories to allow memory upgrade or replacement of faulty memory.
+- **Memory reliability:** It is recommended that a physical machine supports memory reliability using memory redundancy and memory error correction technologies.
+
+NOTE 1 – Memory reliability refers to technologies to improve the reliability of the physical machine by preventing permanent loss of data or downtime caused by memory failure. One example is memory mirroring, as one implementation of memory redundancy. Memory mirroring replicates and stores data on a different physical memory within different channels simultaneously. If the primary physical memory failure occurs, subsequent read and write will use the backup memory.
+
+- **Supporting various types of memory:** It is recommended that a physical machine provides various types of memory such as non-volatile and volatile memory depending on the CPU's memory usage.
+
+NOTE 2 – Examples of CPU's memory usage with non-volatile and volatile types are booting up and storing temporary data as main memory, respectively. Non-volatile type includes ROM and volatile type is classified into static random access memory (SRAM) and dynamic random access memory (DRAM).
+
+##### **7.1.1.3 Storage requirements**
+
+- **Multiple interfaces for storage:** It is recommended that a physical machine supports interfaces of storage for different media, such as magnetic storage, optical storage and semiconductor storage.
+
+NOTE 1 – Examples of interfaces include integrated development environment (IDE), serial AT attachment (SATA), serial attached SCSI (SAS), small computer system interface (SCSI), AT attachment (ATA), M.2 (formerly known as NGFF), peripheral component interconnect express (PCI-E) and mini-serial AT attachment (mSATA).
+
+- **Storage replacement:** It is recommended that storage in a physical machine supports substitution of storage with other storages to allow external storage upgrade or replacement of faulty external storage.
+- **Storage redundancy hardware:** It is recommended that a physical machine supports storage redundancy hardware.
+
+NOTE 2 – An example of storage redundancy hardware is RAID card. RAID card is to support data storage virtualization technology that combines multiple physical disk drive components into one or more logical units for the purposes of data redundancy, performance improvement, or both.
+
+- **Storage hibernation:** It is recommended that a physical machine supports hibernation of storages without I/O for a long time to reduce energy consumption.
+
+NOTE 3 – An example of storage hibernation is hard disk drive (HDD) hibernation. The HDD spins continuously at 5400/7200 revolutions per minute (RPM) consuming lots of power. During HDD hibernation, the HDD stops spinning to reduce power consumption.
+
+##### 7.1.1.4 I/O device requirements
+
+- **Hardware-assisted I/O virtualization:** It is recommended that a physical machine supports hardware-assisted I/O virtualization to improve the performance of I/O virtualization.
+- **I/O devices direct accessing:** It is recommended that a physical machine supports I/O devices direct accessing so that a virtual machine can directly access hardware I/O devices.
+
+NOTE 1 – I/O devices direct accessing refers to technologies supporting VM's native accessing of physical I/O devices. One example of I/O devices direct accessing is I/O devices pass-through. I/O devices pass-through is an I/O device assigned directly to a VM. The VM can access the I/O devices without a hypervisor's participation.
+
+- **Workload offload:** It is recommended that a physical machine support offloading workload to I/O devices to reduce the load of the CPU.
+
+NOTE 2 – In offloading workload, hardware I/O devices execute workload instead of software on a CPU in order to relieve the CPU's overhead. An example of offloading workload is checking transmission control protocol (TCP) checksum in a network interface card (NIC) and not in a CPU.
+
+- **Hardware acceleration:** It is recommended that a physical machine supports application-specific hardware acceleration to perform specific applications more efficiently.
+
+NOTE 3 – Application-specific hardware is customized for a particular use, rather than intended for general-purpose use. An example of application-specific hardware is a graphics processing unit (GPU).
+
+#### 7.1.2 Power supply requirements
+
+- **Power supply replacement:** It is recommended that a physical machine supports substitution with other power supplies to allow power supply upgrade or replacement of a faulty power supply.
+- **Supporting power redundancy:** It is recommended that a physical machine supports redundant power supply to keep powered on in case of main power supply failure.
+
+NOTE 1 – N+1 redundancy of power supply is widely used (N: number of power supplies based on total power budget).
+
+- **Minimum energy consumption:** It is recommended that a physical machine provides minimum energy consumption.
+- **Interface for monitoring power:** It is recommended that a physical machine supports an interface to a management component for monitoring status of the power supply.
+
+NOTE 2 – An example of the interface for monitoring power is a power management bus (PMBus).
+
+#### 7.1.3 Cooling requirements
+
+- **Cooling component replacement:** It is recommended that a physical machine supports substitution with other cooling components to allow substitution of a faulty cooling component.
+- **Cooling component redundancy:** It is recommended that a physical machine supports cooling component redundancy to maintain temperature in case of main cooling component failure.
+- **Interface for controlling fan speed:** It is recommended that a physical machine supports an interface to a management component to control fan speed.
+
+NOTE – An example of an interface for controlling fan speed is a pulse width modulation (PWM) management component.
+
+#### 7.1.4 Enclosure requirements
+
+- **Monitoring status of the physical machine:** It is recommended that a physical machine provides a status panel to check whether components of the physical machine are installed and working correctly.
+- **Visual indications:** It is recommended that a physical machine provides visual indications of working state (e.g., starting, running, stopped, faulty), suitable for administrators of the physical machine to understand.
+- **Equipment for mounting and removal:** It is recommended that a physical machine supports safe mounting and easy removal of all components in the enclosure.
+- **Circulation of air flow:** It is recommended that a physical machine supports circulation of enough air flow to minimize the heat generated inside the enclosure with cooling components.
+
+#### 7.1.5 Interconnect network requirements
+
+This functional requirement is applied for multi-processing unit types.
+
+- **Interconnect network supports:** It is recommended that a physical machine supports a non-Ethernet based interconnect network as well as an Ethernet based interconnect network among the multiple processing units.
+
+NOTE 1 – For this non-Ethernet based interconnect network, a CSP:cloud operations manager employs a CPU I/O (e.g., PCI Express) of processing units to construct the interconnect network.
+
+- **Sharing process unit component:** It is recommended that a physical machine provides a sharing component in the processing unit in other processing units by an interconnect network.
+
+NOTE 2 – Examples of sharing components are memory, storage and I/O.
+
+- **Network topology:** It is recommended that a physical machine supports various types of network topology (e.g., Ring, Tree, Mesh, Cube, etc.) for multiple processing units.
+- **Configuration of multiple processing units:** It is required that a physical machine provides configuration of multiple processing units.
+
+#### 7.1.6 Management component requirements
+
+- **Providing running information:** It is recommended that a physical machine provides running information in all components of the physical machine.
+
+NOTE 1 – Examples of running information are CPU temperature, CPU utilization, memory utilization, storage read/write load, fan speed and the traffic load of interconnect network.
+
+- **Automatically power operation:** It is recommended that a physical machine supports automatically managing for power on, power off and restart operations for automatic scheduling according to the load of the physical machine.
+
+- **Monitoring of environment conditions:** It is recommended that a physical machine provides monitoring of environment conditions, such as air temperature, air humidity, etc.
+- **Self-checking mechanism:** It is recommended that a physical machine supports self-checking to ensure the stability of the physical machine after power on.
+
+NOTE 2 – Self-checking is a process to verify CPU and memory, to initialize BIOS and to identify booting devices after a physical machine is powered on.
+
+## 7.2 I/O interface requirements
+
+- **Provide I/O interface to administrator:** A physical machine can optionally provide an I/O interface to administrators for I/O devices such as a monitor, a mouse and a keyboard.
+
+NOTE 1 – Examples of I/O interface to administrators are a video graphics array (VGA) and a universal serial bus (USB).
+
+- **Provide I/O interface to external storage device:** A physical machine can optionally provide an I/O interface for an external storage device to install the hypervisor, operating system and/or other software applications.
+
+NOTE 2 – Examples of external storage device are CD ROM and USB flash disk.
+
+- **Network interface virtualization:** It is recommended that a physical machine supports network interface virtualization to improve interface utilization.
+
+NOTE 3 – Network interface virtualization is sharing a network interface into multiple virtual network interfaces.
+
+- **Device driver and API supports:** It is required that a physical machine supports device drivers and APIs for I/O interface.
+
+## 7.3 Operation requirements
+
+- **Processing unit operation:** It is recommended that a physical machine provides operations for processing units, such as power operation, monitoring configuration information of each processing units.
+
+NOTE 1 – The power operation for a processing unit is to control the power status (e.g., power on, power off and restart) of each of the processing units. The monitoring configuration information of processing units is to collect and report the parameters of the processing units (e.g., CPU type, CPU clock speed, memory frequency and storage capacity).
+
+- **Remote management:** It is recommended that a physical machine supports to be managed remotely through network.
+
+NOTE 2 – Examples of remote management of physical machine are power operation, firmware update and log querying for the physical machine remotely.
+
+- **Diagnostic of physical machine:** It is recommended that a physical machine supports diagnostic to analyze before and after a hardware fault as well as firmware and components of physical machine changes.
+
+NOTE 3 – The fault prediction is accomplished by software.
+
+## 7.4 Scalability requirements
+
+- **Expansion of interconnect network:** It is recommended that a physical machine provides external expansion of the interconnect network among multiple physical machines to meet required computing performance level from a CSU.
+- **I/O interface for device extensions:** It is recommended that a physical machine provides an I/O interface for device extensions that can be used to extend high performance network cards, graphics card and so forth.
+- **Processing unit replacement:** It is recommended that a physical machine supports substitution with other processing units to allow processing unit upgrade.
+
+- **Adding processing units:** It is recommended that a physical machine supports the addition of more processing units to the physical machine.
+- **Adding components of processing units:** It is recommended that a physical machine supports the addition of more components to the processing units, including CPU, memory, storage and I/O device.
+- **Adding power supply:** It is recommended that a physical machine supports the addition of more power supply components to the physical machine.
+- **Adding cooling component:** It is recommended that a physical machine supports the addition of more cooling components to the physical machine.
+
+## 7.5 Security requirements
+
+- **No additional ports:** It is recommended that a physical machine does not expose network ports that are not used.
+- **Authorized access:** It is recommended that a physical machine supports an authorized access.
+
+## 7.6 Reliability requirement
+
+- **Support fault location:** It is recommended that a physical machine supports fault location, so that the operator can easily replace the failing components.
+- **Hot-plug support:** A physical machine can optionally support hot-plug without damage.
+
+NOTE – Hot-plug is plugging in and out some components of the physical machine while it is running. An example of hot-plug support is hot-plug disk. Hot-plug disk refer to the disks supporting plug in to or plug out from the physical machine without damage while the physical machine is running.
+
+# 8 Security considerations
+
+Security aspects for consideration within the cloud computing environment are addressed by security challenges for the CSPs as described in [ITU-T X.1601]. In particular, [ITU-T X.1601] analyses security threats and challenges and describes security capabilities that could mitigate these threats and meet the security challenges.
+
+# Appendix I
+
+## Comparison between functional requirements and other specifications
+
+(This appendix does not form an integral part of this Recommendation.)
+
+## I.1 Specifications and other SDOs
+
+#### I.1.1 Open Compute Project
+
+The Open Compute Project (OCP) is a rapidly growing community of engineers around the world whose mission is to design and enable the delivery of the most efficient server, storage and data centre hardware designs available for scalable computing.
+
+The OCP Server Project provides standardized server system specifications for scale computing. Standardization is key to ensure that the OCP specification pool does not get fragmented by point solutions that plague the industry today. The Server Project collaborates with the other OCP disciplines to ensure broad adoption and achieve optimizations throughout all aspects from validation, to manufacturing, deployments, data centre operations and de-commissioning.
+
+Table I.1 lists OCP related specifications.
+
+**Table I.1 – OCP related specifications**
+
+| Family | Specification | Summary | Published |
+|-------------|-----------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------|
+| OpenRack V2 | Twin Lakes 1S Server Design Specification V1.00 [b-OCP 1S] | This specification describes the design of the Twin Lakes 1S server based on the Intel Xeon Processor D-2191 System-on-a-Chip (SoC). | 2018 |
+| | Facebook 2S Server Tioga Pass Specification V1.0 [b-OCP 2S] | This specification describes Facebook dual sockets server Intel Motherboard v4.0 (Project name: Tioga Pass) design and design requirement to integrate Tioga Pass into Open Rack V2. | 2018 |
+| | Big Basin-JBOG Specification V1.0 [b-OCP JBOG] | This document describes technical specifications for Facebook's Big Basin-JBOG for use in Open Rack V2. | 2018 |
+| | Inspur Server Project San Jose V1.01 [b-OCP SJ] | This document defines the technical specification for San Jose Motherboard and chassis used in Open Compute Project Open Rack V2. | 2017 |
+| | Facebook Multi-Node Server Platform: Yosemite V2 Design Specification V1.0 [b-OCP Yose] | This specification describes the design of the Yosemite V2 Platform that hosts four One Socket (1S) servers, or two sets of 1S server/device card pairs. | 2017 |
+| | Facebook Server Intel Motherboard V4.0 Project Tioga Pass V0.30 [b-OCP TP] | This specification describes Facebook dual sockets server Intel Motherboard v4.0 (Project name: Tioga Pass) design and design requirement to integrate Intel Motherboard v4.0 into Open Rack V2. | 2017 |
+| | Facebook Server Intel Motherboard V3.1 [b-OCP MB] | This specification describes Intel Motherboard v3.0 design and design requirement to integrate Intel Motherboard v3.0 into Open Rack V11 and Open Rack V2. | 2016 |
+| | Open Rack- Intel Motherboard Hardware | This document defines the technical specifications for the Intel motherboard used in Open Compute | 2016 |
+
+**Table I.1 – OCP related specifications**
+
+| Family | Specification | Summary | Published |
+|---------------|-----------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------|
+| | V2.0 [b-OCP IMBH] | Project servers. | |
+| OpenRack v1 | Open Rack- AMD Motherboard Hardware V2.0 [b-OCP AMBH] | This document defines the technical specifications for the AMD motherboard used in Open Compute Project servers. | 2012 |
+| | Facebook server Fan Speed Control Interface Draft V0.1 [b-OCP FSCI] | This document describes Facebook's FSC algorithm and its update methodology. Using the OpenIPMI fan speed control (FSC) is an intelligent method for controlling server fans to provide adequate cooling while managing thermal constraints and power efficiency. This document will help to manage FSC settings and FSC updates by using intelligent platform management interface (IPMI) commands to vary the fan control profile on either local or remote systems. | 2017 |
+| Olympus | Project Olympus AMD EPYC Processor Motherboard Specification [b-OCP OAPM] | This specification describes the Project Olympus AMD Server Motherboard. This is an implementation specific specification under the Project Olympus Universal Motherboard Specification. | 2017 |
+| | Project Olympus Cavium ThunderX2 ARMx64 Motherboard Specification [b-OCP OCTAM] | This specification focuses on the Project Olympus Cavium ThunderX2 ARMx64 Motherboard. This is an implementation specific specification under the Project Olympus Universal Motherboard Specification. | 2017 |
+| | Project Olympus 1U Server Mechanical Specification [b-OCP O1USM] | This specification focuses on the Project Olympus full-width server mechanical assembly. It covers the mechanical features and supported components of the server, as well as the interfaces with the mechanical and power support structure. | 2017 |
+| | Project Olympus 2U Server Mechanical Specification [b-OCP O2USM] | This specification focuses on the Project Olympus 2U server mechanical assembly. It covers the mechanical features and supported components of the server, as well as the interfaces with the mechanical and power support structure. | 2017 |
+| | Project Olympus Intel Xeon Scalable Processor BIOS Specification [b-OCP OBIOS] | The System BIOS is an essential platform ingredient which is responsible for platform initialization that must be completed before booting of an operating system. Thus, the BIOS execution phase of the boot process is often referred to as pre-boot phase. | 2017 |
+| | Project Olympus Intel Xeon Scalable Processor Motherboard Specification [b-OCP OMB] | This specification describes the Project Olympus Intel Server Motherboard. This is an implementation specific specification under the Project Olympus Universal Motherboard Specification. | 2017 |
+| OCS | Open CloudServer OCS Programmable Server Adapter Mezzanine Programmables V1.0 [b-OCP OCSPSAM] | This document defines physical and interface requirements for the programmable NIC mezzanine card that can be installed on an Open Cloud Server (OCS) server blade. This server adapter is programmable and provides CPU offload for Host-based SDN, virtual switch data path and tunneling protocols. | 2016 |
+
+**Table I.1 – OCP related specifications**
+
+| Family | Specification | Summary | Published |
+|---------------|------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------|
+| | Open CloudServer OCS Chassis Manager Specification V2.1 [b-OCP OCSCM] | This specification is an addendum to the OCS Open CloudServer Chassis Management v2.0 specification. It defines the requirements for the upgrade to the Chassis Manager v1.0 made necessary by end of production of the CPU. | 2016 |
+| | Open CloudServer OCS Blade Specification V2.1 [b-OCP OCSB] | This document is intended for designers and engineers who will be building blades for an OCS system. | 2016 |
+| | Open CloudServer OCS Solid State Drive V2.1 [b-OCP OCSSSD] | This specification, Open CloudServer Solid State Drive, OCS SSD, describes the low-cost, high-performance flash-based storage devices deployed first in the Open CloudServer OCS Blade V2 specification. The OCS Blade V2 supports four PCI-Express riser cards and eight Open CloudServer Solid State Drive M.2 modules. The Table 1 briefly describes the required features. | 2015 |
+| | Open CloudServer OCS Power Supply V2.0 [b-OCP OCSPS] | This specification, Open CloudServer Chassis Power Supply Version 2.0, describes the power supply family requirements for the Windows Cloud Server system. The mechanical interface and electrical interface is identical between power supply options to enable a common slot, universal, modular foundation power supply system to enable the Microsoft Windows Cloud Server systems. | 2015 |
+| | Open CloudServer SAS Mezzanine I/O specification V1.0 [b-OCP OCSSAS] | This document outlines specifications for the Open CloudServer Storage Attached SCSI (SAS) mezzanine card. | 2015 |
+| | Open CloudServer JBOD specification V1.0 [b-OCP OCSJBOD] | This document provides the technical specifications for the design of the 6G half-width JBOD blade for the Open CloudServer system. | 2015 |
+| | Open CloudServer OCS Tray Mezzanine Specification V2.0 [b-OCP OCSTRAY] | This specification, Open CloudServer OCS Tray Mezzanine Version 2.0, describes the physical and interface requirements for the Open CloudServer (OCS) tray mezzanine card. The mezzanine card will be installed on the tray backplane and will have a Peripheral Component Interconnect Express (PCIe) x16 Gen3 interface. This interface can either be used as one x16, two x8, or four x4 channels. | 2015 |
+| | Open CloudServer Chassis Specification V2.0 [b-OCP OCSC] | Describes the hardware used in the Version 2.0 (V2.0) OCS system, including the chassis, tray and systems management. | 2015 |
+| | Open CloudServer OCS NIC Mezzanine Specification V2.0 [b-OCP OCSNIC] | This specification, Open CloudServer NIC Mezzanine Version 2.0, describes the physical and interface requirements for the Open CloudServer (OCS) NIC mezzanine card that to be installed on an OCS blade. | 2014 |
+
+**Table I.1 – OCP related specifications**
+
+| Family | Specification | Summary | Published |
+|---------------|----------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------|
+| OCP Mezzanine | Mezzanine Card 2.0 Design Specification V1.0 [b-OCP MEZZ] | Mezzanine card 2.0 specification is developed based on original OCP Mezzanine card. It extends the card mechanical and electrical interface to enable new uses cases for Facebook and other users in OCP community. The extension takes backward compatibility to existing OCP platforms designed for original OCP Mezzanine card specification V0.5 into consideration and some tradeoffs are made between backward compatibility and new requirements. | 2016 |
+| | Mezzanine Card for Intel v2.0 Motherboard [b-OCP MEZZMB] | This document describes the mezzanine card design for use with Open Compute Project Intel v2.0 motherboards. The mezzanine card is installed on an Intel v2.0 OCP motherboard to provide extended functionality, such as support for 10GbE PCI-E devices. | 2012 |
+| 19" Server | QCT Big Sur Product Architecture Following Big Sur Specification V1.0 [b-OCP BS] | The QCT Big Suris 4OU/21 "chassis which using IA-64 based dual-socket servers that support the Grantley–EP processors in combination with the Wellsburg PCH to provide a balanced feature set between technology leadership and cost. QCT Grantley platform will be 16DIMMsand supports 8 GPGPU cards and Max. 8x2.5" HDDs. | 2017 |
+| | Hyve Solutions Ambient Series-E V1.2 [b-OCP HSAS] | This document defines the technical specifications for the Hyve Solutions Ambient Series-E server, including motherboard, chassis and power supply. | 2017 |
+| | QuantaGrid D51B-1U V1.1 [b-OCP QGD] | The Quanta Grid D51B-1Uwill be IA-64 based dual-socket servers that support the Grantley–EP processors in combination with the Wellsburg PCH (PCH) to provide a balanced feature set between technology leadership and cost. | 2015 |
+| | Decathlete Server Board Standard V2.1 [b-OCP DSBS] | This standard provides board-specific information detailing the features and functionality of a general purpose 2-socket server board for adoption by the Open Compute Project community. The purpose of this document is to define a dual socket server board that is capable of deployment in scale out data centres as well as traditional data centres with 19" rack enclosures. | 2013 |
+| SOC Boards | Panther+ Micro-Server Card Hardware V0.8 [b-OCP PMSCH] | This document describes the technical specifications used in the design of an Intel Avoton SoC based Micro-Server card for Open Compute Project, known as the Panther+. | 2016 |
+| | Micro-Server Card Hardware V1.0 [b-OCP HSCH] | This specification provides a common form factor for emerging micro-server and SOC (System-On-Chip) server designs. | 2016 |
+
+**Table I.1 – OCP related specifications**
+
+| Family | Specification | Summary | Published |
+|---------------|----------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------|
+| Barreleye | Barreleye G2 Specification [b-OCP G2] | This document describes the specifications for: Zaius POWER9 motherboard, Barreleye G2 server – 2OU, Zaius server – 1.5OU | 2017 |
+| | Barreleye G1 Specification [b-OCP G1] | This document describes the specification of Barreleye, an OpenPOWER-based Open Compute server, with a mechanical and electrical package designed for Open Rack. | 2016 |
+| | Facebook, Microsoft, M.2 Carrier Card Design Specification V1.0 [b-OCP M2] | This specification provides the requirements for a PCIe Full Height Half Length (FHHL) form factor card that supports up to four M.2 form factor solid-state drives (SSDs). The card shall support 110mm (Type 22110) or 80mm (Type 22080) dual sided M.2 modules. | 2018 |
+| | Facebook PCIe Retimer Card V1.1 [b-OCP PCIRC] | This specification describes the design and design requirements for a PCIe add-in card that converts an internal PCIe connection to an external PCIe connection. | 2017 |
+| | Add-on-Card Thermal Interface Spec for Intel Motherboard V3.0 [b-OCP ACTI] | The goal of this document is to define a standard interface for Facebook Intel motherboard V3.0 to poll thermal data from an add-on-card including Mezzanine card. | 2017 |
+| Debug Card | OCP debug card with LCD spec V1.0 [b-OCP Debug] | The specification defines the OCP Debug Card with LCD for a server system debug. | 2018 |
+| Mezz Card | 25G Dual Port OCP 2.0 NIC Mezzanine Card V1.0 [b-OCP 25GDual] | This document specifies a technical design implementation to define 25G Ethernet card which meets the requirements of OCP Mezzanine card 2.0 type-A design and the heat sink design could let this card to be able to deployment in OCP server or standard server. | 2018 |
+| | OCP NIC 3.0 Design Specification V0.8 [b-OCP NIC] | The OCP NIC 3.0 specification is a follow-on to the OCP Mezz 2.0 rev 1.00 design specification. The OCP NIC 3.0 specification supports two basic card sizes: Small Card and Large Card. The Small Card allows for up to 16 PCIe lanes on the card edge while the Large Card supports up to 32 PCIe lanes. | 2018 |
+
+#### I.1.2 DMTF
+
+The Distributed Management Task Force (DMTF) is an industry standards organization working to simplify the manageability of network-accessible technologies through open and collaborative efforts by leading technology companies. DMTF creates and drives the international adoption of interoperable management standards, supporting implementations that enable the management of diverse traditional and emerging technologies including cloud, virtualization, network and infrastructure.
+
+DMTF has developed specifications related to management interface, which are related to the management of physical machines.
+
+**Table I.2 – DMTF related specifications**
+
+| Specification | Summary | Published |
+|-----------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------|
+| Redfish Scalable Platforms Management API Specification [b-DMTF RFAP] | This specification is to define the protocols, data model and behaviors, as well as other architectural components needed for an interoperable, cross-vendor, remote and out-of-band capable interface that meets the expectations of Cloud and web-based IT professionals for scalable platform management. While large scale systems are the primary focus, the specifications are also capable of being used for more traditional system platform management implementations. | 2018-08-23 |
+| Redfish Host Interface Specification [b-DMTF RFHI] | This specification defines functional requirements for Redfish Host Interfaces. In the context of this document, the term "Host Interface" refers to interfaces that can be used by software running on a computer system to access the Redfish Service that is used to manage that computer system. | 2017-12-11 |
+| Redfish Interoperability Profiles [b-DMTF RFP] | The Redfish Interoperability Profile is a JSON document that contains Schema-level, Property-level and Registry-level requirements. At the property level, these requirements can include a variety of conditions under which the requirement applies. | 2018-05-15 |
+
+#### I.1.3 SNIA
+
+The Storage Networking Industry Association (SNIA) is a non-profit organization made up of member companies spanning information technology. A globally recognized and trusted authority, SNIA's mission is to lead the storage industry in developing and promoting vendor-neutral architectures, standards and educational services that facilitate the efficient management, movement and security of information.
+
+**Table I.3 – SNIA related specifications**
+
+| Specification | Summary | Published |
+|-------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------|
+| SNIA Swordfish Specification V1.0.6 [b-SNIA SF] | The Swordfish Scalable Storage Management API ("Swordfish") defines a RESTful interface and a standardized data model to provide a scalable, customer-centric interface for managing storage and related data services. It extends the Redfish Scalable Platforms Management API Specification (DSP0266) from the DMTF. | 2018-05-25 |
+
+#### I.1.4 ETSI
+
+The European Telecommunications Standards Institute (ETSI) is the recognized regional standards body – European Standards Organization (ESO) – dealing with telecommunications, broadcasting and other electronic communications networks and services.
+
+The ETSI NFV EVE Working Group seeks to develop the necessary requirements to enable a common set of hardware elements and physical environments (e.g., data centres) that can be used to support network function virtualization (NFV) services [b-ETSI EVE007].
+
+**Table I.4 – ETSI related specifications**
+
+| Specification | Summary | Published |
+|----------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------|
+| Hardware Interoperability Requirements Specification [b-ETSI EVE007] | The document develops a set of normative interoperability requirements for the NFV hardware ecosystem and telecommunications physical environment to support NFV deployment. | 2017-03 |
+
+## I.2 Relationship with related specifications from other SDOs
+
+Table I.5 analyses the relationship between functional requirement introduced in this Recommendation and the related Specification from other SDOs. The major differences between this Recommendation and other related Specifications are as follows:
+
+- 'Monitoring environment condition' (see clause 7.1.6) and 'No additional ports' (see clause 7.5) are not addressed in the specifications identified in I.1
+- This Recommendation introduced the physical machine with functional requirements derived by use cases with general purpose; other deliverables from other SDOs are specific for server implementation or interface in detail.
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|---------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| 1 | Virtualization instruction set | - – [b-OCP 1S] provides virtualization instruction set as 'The Twin Lakes 1S server is designed to use Intel Xeon Processor D-2191 utilizing the performance and advanced Intelligence of Intel Xeon processors packaged into a dense, lowpower SoC' in clause 3.
- – [b-OCP BS] provides virtualization instruction set as 'Intel Xeon Haswell/Broadwell-EP' in clause 2 table 2-1.
- – [b-OCP HSAS] provides virtualization instruction set as 'The motherboard is designed to support dual Intel Xeon E5-2600 v3 and v4 series processors and up to 2048GB LRDIMM 3DS/1024GB LRDIMM/ 512GB RDIMM DDR4 memory. Leveraging advanced technology from Intel, the motherboard is capable of offering scalable 32- and 64- bit computing, high-bandwidth memory design and lightning-fast PCI-E bus implementation' in clause 7.
- – [b- OCP IMBH] provides virtualization instruction set as 'The Efficiency Performance motherboard, built with the Intel Xeon E5-2600 processor, was originally was code-named the Sandy Bridge-EP motherboard' in clause 4.
- – [b-OCP OAPM] provides virtualization instruction set as 'CPU: AMD EPYC processors' in clause 5.
- – [b-OCP MB] provides virtualization instruction set as 'Intel Motherboard V3.1 (also referred to "motherboard" or "the motherboard" in this document, unless noted otherwise) is based on Intel Xeon Processor E5-2600 v3 (formerly code-named Haswell-EP processor) product family CPU architecture' in clause 4.1
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|-------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| 2 | CPU replacement | - – [b-OCP 2S] provides CPU replacement as 'The motherboard supports all Intel Xeon Scalable processor family (aka Skylake-SP) processors with TDP up to 165W. The motherboard shall provision the support of all future CPUs in Intel Xeon Scalable processor Family Platform and the Next gen Intel Xeon Scalable processor Family Platform unless noted otherwise' in clause 5.3.1.
- – [b-OCP HSAS] provides CPU replacement as 'The motherboard is designed to support dual Intel Xeon E5-2600 v3 and v4 series processors and up to 2048GB LRDIMM 3DS/1024GB LRDIMM/ 512GB RDIMM DDR4 memory. Leveraging advanced technology from Intel, the motherboard is capable of offering scalable 32- and 64-bit computing, high-bandwidth memory design and lightning-fast PCI-E bus implementation' in clause 7.
- – [b-OCP MB] provides CPU replacement as 'The motherboard uses Intel Xeon E5-2600 v3 (LGA2011-3) Product Family processors with TDP up to 145W. The features listed below must be supported by the motherboard: Support two Intel Xeon E5-2600 v3 (LGA2011-3) Product Family processors up to 145W TDP and vendors should engage with Intel to ensure the design ready for future processors; Two full-width Intel QPI links up to 9.6 GT/s/direction; Up to 18 cores per CPU (up to 36 threads with Hyper-Threading Technology). Up to 45MB last level cache; Single Processor mode is supported' in clause 5.3.1.
|
+| 3 | Multiple CPUs | - – [b-OCP 2S] provides multiple CPUs as 'Support two Intel Xeon Scalable processor family (aka Skylake-SP) processors up to 165W TDP and vendors should engage with Intel to ensure the design ready for future processors' in clause 5.3.1.
- – [b- OCP AMBH] provides multiple CPUs as 'The motherboard supports two AMD G34 Magny Cours or Interlagos CPUs with a TDP (thermal design power) of 115W' in clause 4.3.
- – [b- OCP DSBS] provides multiple CPUs as 'Support up to two processors with a thermal design point (TDP) of up to 135 W' in clause 4.
- – [b- OCP DSBS] provides multiple CPUs as 'Support up to two processors using LGA2011-3 (socket type R3) and VRD 12.5 and a thermal design point (TDP) of up to 145W' in clause 4.
- – [b-OCP HSAS] provides multiple CPUs as 'The motherboard is designed to support dual Intel Xeon E5-2600 v3 and v4 series processors and up to 2048GB LRDIMM 3DS/1024GB LRDIMM/ 512GB RDIMM DDR4 memory. Leveraging advanced technology from Intel, the motherboard is capable of offering scalable 32- and 64- bit computing, high-bandwidth memory design and lightning-fast PCI-E bus implementation' in clause 7.
- – [b-OCP IMBH] provides multiple CPUs as '2 Intel Xeon E5-2600 (LGA2011) series processors up to 115W' in clause 4.3.
- – [b-OCP OAPM] provides multiple CPUs as 'Sockets: Dual socket operation' in clause 5.
- – [b-OCP MB] provides multiple CPUs as 'The motherboard uses Intel
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|-------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | Xeon E5-2600 v3 (LGA2011-3) Product Family processors with TDP up to 145W. The features listed below must be supported by the motherboard: Support two Intel Xeon E5-2600 v3 (LGA2011-3) Product Family processors up to 145W TDP and vendors should engage with Intel to ensure the design ready for future processors; Two full-width Intel QPI links up to 9.6 GT/s/direction; Up to 18 cores per CPU (up to 36 threads with Hyper-Threading Technology). Up to 45MB last level cache; Single Processor mode is supported' in clause 5.3.1.
|
+| 4 | Low power consumption of CPU | - – [b-OCP 2S] provides Low power consumption of CPU as 'Tuning CPU/Chipset settings to reach minimized power consumption and best performance in a data centre environment' in clause 6.3.1.
- – [b- OCP 2S] provides Low power consumption of CPU as 'The vendor should implement BMC firmware to support platform power monitoring. To enable power limiting for processor, memory and platform, Intel Server Platform Services-NM is required' in clause 9.8.
- – [b- OCP 2S] provides Low power consumption of CPU as 'CPU VR optimizations shall be implemented to remove cost and increase the efficiency of the power conversion system' in clause 15.3.2.
- – [b-OCP G1] provides Low power consumption of CPU as 'The motherboard shall be designed to handle a processor with a maximum TDP of 190W CPU' in clause 7.3.1
- – [b- OCP DSBS] provides Low power consumption of CPU as 'Support up to two processors with a thermal design point (TDP) of up to 135 W' in clause 4.
- – [b-OCP AMBH] provides Low power consumption of CPU as 'The CPU VRM is optimized to reduce cost and increase the efficiency of the power conversion system' in clause 9.1.5.
- – [b- OCP DSBS] provides Low power consumption of CPU as 'Support up to two processors using LGA2011-3 (socket type R3) and VRD 12.5 and a thermal design point (TDP) of up to 145W' in clause 4.
- – [b-OCP IMBH] provides Low power consumption of CPU as 'The motherboard uses next generation Intel Xeon processor E5-2600 product family CPUs with a TDP (thermal design power) up to 115W' in clause 4.3.
- – [b-OCP IMBH] provides Low power consumption of CPU as 'Two to monitor temperatures for CPU0 and CPU1, retrieved through the CPU's temperature sensor interface (PECI)' in clause 6.1.
- – [b-OCP MB] provides Low power consumption of CPU as 'The motherboard uses Intel Xeon E5-2600 v3 (LGA2011-3) Product Family processors with TDP up to 145W. The features listed below must be supported by the motherboard: Support two Intel Xeon E5-2600 v3 (LGA2011-3) Product Family processors up to 145W TDP and vendors should engage with Intel to ensure the design ready for future processors; Two full-width Intel QPI links up to 9.6 GT/s/direction; Up to 18 cores per CPU (up to 36 threads with Hyper-Threading Technology). Up to 45MB last level cache; Single Processor mode is supported' in clause 5.3.1.
- – [b-OCP MB] provides Low power consumption of CPU as 'The BIOS
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | should be tuned to minimize system power consumption and maximize performance. This includes: Disable any unused devices, such as unused PCI, PCIe ports, USB ports, SATA/SAS ports, clock generator and buffer ports. Tuning CPU/Chipset settings to reach minimized power consumption and best performance in a data centre environment' in clause 6.3.1.
|
+| 5 | Hardware-assisted memory virtualization | - – [b-OCP 2S] provides hardware-assisted memory virtualization as 'Setting for the watchdog timer: The default setting for EVT/DVT/PVT is disabled. The default setting for MP is enabled. The timeout value is 15 minutes and reset the system after the timer expires. The watchdog timer is always disabled after POST' in clause 6.3.2.
- – [b-OCP HSAS] provides hardware-assisted memory virtualization as 'The motherboard is designed to support dual Intel Xeon E5-2600 v3 and v4 series processors and up to 2048GB LRDIMM 3DS/1024GB LRDIMM/ 512GB RDIMM DDR4 memory. Leveraging advanced technology from Intel, the motherboard is capable of offering scalable 32- and 64- bit computing, high-bandwidth memory design and lightning-fast PCI-E bus implementation' in clause 7.
- – [b-OCP IMBH] provides hardware-assisted memory virtualization as 'The Efficiency Performance motherboard, built with the Intel Xeon E5-2600 processor, was originally was code-named the Sandy Bridge-EP motherboard' in clause 4.
- – [b-OCP OAPM] provides hardware-assisted memory virtualization as 'AMD EPYC platform' in clause 5.
- – [b-OCP MB] provides hardware-assisted memory virtualization as 'Intel Motherboard V3.1 (also referred to "motherboard" or "the motherboard" in this document, unless noted otherwise) is based on Intel Xeon Processor E5-2600 v3 (formerly code-named Haswell-EP processor) product family CPU architecture' in clause 4.1.
|
+| 6 | Memory replacement | - – [b-OCP 2S] provides memory replacement as 'Besides traditional DDR4 DIMM, the motherboard shall support Non-Volatile DIMM (NVDIMM) on all DIMM slots' in clause 5.3.3.
- – [b-OCP DSBS] provides memory replacement as 'Memory Expansion :16 sockets for un-buffered DDR3 and registered DDR3 DIMMS' and 'Provide 16 sockets for DDR4 DIMMS' in clause 4.
- – [b-OCP G1] provides memory replacement as '4 DDR3 Memory channels per memory buffer; total 32 DDR3 RDIMMs, 1333 MHz (1DPC), 8/16/32GB' in clause 6.1.
- – [b-OCP HSAS] provides memory replacement as 'The motherboard is designed to support dual Intel Xeon E5-2600 v3 and v4 series processors and up to 2048GB LRDIMM 3DS/1024GB LRDIMM/ 512GB RDIMM DDR4 memory. Leveraging advanced technology from Intel, the motherboard is capable of offering scalable 32- and 64- bit computing, high-bandwidth memory design and lightning-fast PCI-E bus implementation' in clause 7.
- – [b-OCP MB] provides memory replacement as 'The motherboard has DIMM subsystem designed as below: DDR4 direct attach memory
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|-------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | support on CPU0 and CPU1; 4x channels DDR4 registered memory interface on each CPU; 2x DDR4 slots per channel (total 16 DIMM); Support RDIMM, LRDIMM; Support SR, DR and QR DIMM; Support DDR4 speeds of 1600/1866/2133; Up to maximum 1024 GB with 64GB DIMMs; Follow updated JEDEC DDR4 specification with 288 pin DIMM socket' in clause 5.3.2. |
+| 7 | Memory reliability | - – [b-OCP 2S] provides memory reliability as 'Setting for ECC error threshold: Available settings are 1, 4, 10 and 1000. The default setting is 1 for EVT, DVT and PVT and 1000 for MP. Setting for ECC error event log threshold: Available settings are disabled, 10, 50, 100. The default setting is 10' in clause 6.3.2.
- – [b-OCP 2S] provides memory reliability as 'Both correctable ECC and uncorrectable ECC errors should be logged into SEL. Each log entry should indicate location of DIMM by CPU socket#, Channel # and slot #. Memory error reporting need to be tested by both XDP injection and reworked ECC DIMM' in clause 9.11.1.
- – [b-OCP AMBH] provides memory reliability as 'Setting for ECC error threshold, available settings are 1, 4, 10 and 1000' in clause 5.5.
- – [b-OCP AMBH] provides memory reliability as 'CPU/memory errors: Both correctable ECC and uncorrectable ECC errors should be logged into event log. Error categories include DRAM, HyperTransport Link and L3 Cache' in clause 5.10.1.
- [b-OCP HSCH] provides memory reliability as 'Memory Correctable ECC: The threshold value is 1000. When the threshold is reached, the BIOS logs the event and includes the physical DIMM location.' in clause 8.5.10.
- – [b-OCP IMBH] provides memory reliability as 'DDR3 direct attached memory support on cpu0 and cpu1 with: 4 channel DDR3 registered memory interface on processors 0 and 1; 2 DDR3 slots per channel per processor (total of 16 DIMMs on the motherboard); RDIMM/LV-RDIMM (1.5V/1.35V), LRDIMM and ECC UDIMM/LV-UDIMM(1.5V/1.35V); Single, dual and quad rank DIMMs ; DDR3 speeds of 800/1066/1333/1600 MHz; Up to maximum 512 GB memory with 32GB RDIMM DIMMs' in clause 4.3.
- – [b-OCP IMBH] provides memory reliability as 'CPU/Memory errors: Both correctable ECC and un-correctable ECC errors should be logged into the event log. Error categories include DRAM, Link and L3 cache' in clause 5.9.1.
- – [b-OCP IMBH] provides memory reliability as 'Memory Correctable ECC: The threshold value is 1000. When the threshold is reached, the BIOS should log the event including DIMM location information and output DIMM location code through the debug card' in clause 5.9.2.
|
+| 8 | Supporting various types of memory | - – [b-OCP 2S] provides supporting of various types of memory as 'Besides traditional DDR4 DIMM, the motherboard shall support Non-Volatile DIMM (NVDIMM) on all DIMM slots' in clause 5.3.3.
- – [b-OCP AMBH] provides supporting of various types of memory as 'DDR3 direct attached memory support on cpu0 and cpu1 with: o 4
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|----------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | channels DDR3 registered memory interface on each CPU; 2 DDR3 slots per channel per processor (total of 16 DIMMs on the motherboard); RDIMM/LV-RDIMM (1.35V/1.25V), LRDIMM and UDIMM/LV-UDIMM (1.35V/1.25V); SR, DR and QR DIMMs; DDR3 speeds of 800/1066/1333/1600; Up to maximum 512GB memory with 32GB RDIMMs' in clause 4.3.
- – [b-OCP HSAS] provides supporting of various types of memory as 'DIMM Type: RDIMM DDR4, LRDIMM 3DS DDR4, LRDIMM DDR4' in clause 8.
- – [b-OCP IMBH] provides Supporting various types of memory as 'DDR3 direct attached memory support on cpu0 and cpu1 with: 4 channel DDR3 registered memory interface on processors 0 and 1; 2 DDR3 slots per channel per processor (total of 16 DIMMs on the motherboard); RDIMM/LV-RDIMM (1.5V/1.35V), LRDIMM and ECC UDIMM/LV-UDIMM(1.5V/1.35V); Single, dual and quad rank DIMMs ; DDR3 speeds of 800/1066/1333/1600 MHz; Up to maximum 512 GB memory with 32GB RDIMM DIMMs' in clause 4.3.
- – [b-OCP OAPM] provides supporting of various types of memory as 'DIMM Type Double data rate fourth generation (DDR4) Registered DIMM (RDIMM) with Error-Correcting Code (ECC)' in clause 5.
- – [b-OCP MB] provides supporting of various types of memory as 'The motherboard has DIMM subsystem designed as below: DDR4 direct attach memory support on CPU0 and CPU1; 4x channels DDR4 registered memory interface on each CPU; 2x DDR4 slots per channel (total 16 DIMM); Support RDIMM, LRDIMM; Support SR, DR and QR DIMM; Support DDR4 speeds of 1600/1866/2133; Up to maximum 1024 GB with 64GB DIMMs; Follow updated JEDEC DDR4 specification with 288 pin DIMM socket' in clause 5.3.2.
|
+| 9 | Multiple interfaces for storage | - – [b-OCP 1S] provides multiple interfaces for storage as 'The Twin Lakes 1S server implements primary and extension x16 PCIe edge connectors as defined in the 1S server specification. The primary x16 PCIe edge connector supports: • PCIe Gen3 ports • A 10GBase-KR • A SATA port • A USB 2.0 port • A Universal Asynchronous Receiver/Transmitter (UART)' in clause 3.
- – [b-OCP 1S] provides multiple interfaces for storage as 'The Twin Lakes 1S server supports three on-card Solid State Drives (SSDs) in the 2280 or 22110 M.2 form factor' in clause 3.
- – [b-OCP 1S] provides multiple interfaces for storage as 'The Twin Lakes 1S server supports three M.2 solid-state drives in 2280 or 22110 form factors. Boot M.2 slot is only available in 2280 form factor and it can be configured as either SATA or PCIe interface through BOM options, but not both. A minimum 256GB M.2 SATA or NVMe SSD is required as a boot device and for logging purpose. Two additional SSD drives are designed in to support applications that require high disk performance. These two M.2 slots only support PCIe X4 links but both support SSD drives in 2280 or 22110 form factors' in clause 9.4.
- – [b-OCP 2S] provides multiple interfaces for storage as 'Following internal connectors should be placed as close as possible to front of
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|-------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | the board in order to have easy front access: 1x vertical combo SATA signal and power connector; 1x 14-pin Debug card header; 1X right angle USB3 Type A connector; 1X SMD switch to enable/disable Intel Intel At Scale Debug; 1x M.2 connector with 2280 and 22110 support; 1x RJ45; 1x USB type C; 1X customized VGA connector' in clause 5.2.
- – [b-OCP 2S] provides multiple interfaces for storage as 'The motherboard uses Intel PCH chipset, which supports following features: 4x USB 3.0/2.0 ports: one type A for front connector; one type C for front connector; one for BMC in-band firmware update; one to X32 riser connector; 1x M.2 connector; 1x individual SATA 6Gps port; 1x miniSAS HD x8 port or 1x miniSAS HD x4 port; 1x PCIe x4 ports to M.2 connector, colayout with SATA port to M.2 connector; SPI interface, mux with BMC to enable BMC the capability to perform BIOS upgrade and recovery; SPI interface for TPM header' in clause 5.4.
- – [b-OCP 2S] provides multiple interfaces for storage as 'The motherboard has Intel PCH on board. Intel PCH has a SATA controller support 8x SATA3 ports and an sSATA controller support 6x SATA3 ports' in clause 11.6.
- – [b-OCP AMBH] provides multiple interfaces for storage as 'PCI-E x16 Slot/Riser Card; PCI-E Mezzanine Card; PCI-E External Connector; SATA' in clauses 10.1,10.2,10.3, 10.7.
- – [b-OCP BS] provides multiple interfaces for storage as 'PCIe Expansion Slot; SATA hot-plug drives' in clause 2, Table 2-1.
- – [b-OCP DSBS] provides multiple interfaces for storage as 'Storage: Two single port AHCI SATA connectors capable of supporting up to 6 Gb/sec; Two SCU 4-port mini-SAS connectors capable of supporting up to 3 Gb/sec SATA/SAS; Two 4-port mini HD connectors capable of supporting up to 6 Gb/sec SATA' and 'Support for PCI Express* 225W/300W High Power Card Electromechanical Specification 1.0' in clause 4, Tables 1 and 2.
- – [b-OCP G1] provides multiple interfaces for storage as '15x 12Gb/s SAS or 6Gb/s SATA 2.5' drive slots, up to 15mm thickness, connected via SEB, to an onboard HBA. One M.2 SATA slot, also on board.' and '1 x 16 Gen3 FH/FL, 2 x8 Gen3 LP/HL, 1 x8 OCP Mez with front Panel access, 1 x8 PCIe OCP Mez in a non-front-accessible internal slot to support SAS HBA or Raid-on-Chip with SuperCap' in clause 6.1.
- – [b-OCP HSAS] provides multiple interfaces for storage as '▪ Intel C612 Controller;▪ (2) discrete SATA 7pin for SATA4 and SATA5;▪ (2) MiniSAS SFF-8087 for SATA0~SATA3, sSATA0~sSATA3;▪ 6.0Gb/s speed;▪ SATA SGPIO supported;▪ RAID 0/1/10/5 (Intel RST);▪ (4) Internal MiniSASHD SFF-8643 connectors (Optional)' in clause 8.
- – [b- OCP HSCH] provides multiple interfaces for storage as 'The SATA connections are a minimum of SATA2.0 (3Gb/s) and may be SATA3.0 (6Gb/s).The PCIe connection is a minimum of PCIe 2.0 and may be PCIe 3.0' in clauses 6.4 and 6.5.
- – [b-OCP OAPM] provides multiple interfaces for storage as 'SATA,
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|-------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | and PCI-Express Expansion' in clause 5.
- – [b-OCP MB] provides multiple interfaces for storage as 'The motherboard uses Intel C610 series chipset, which supports following features: 3x USB 3.0/2.0 ports: one for front connector; one for optional vertical on board connector; one for BMC in-band firmware update; 1x mSATA connector from SATA port 4 co-layout with M.2 connector; 1x individual SATA 6Gps ports from SATA port 5; 1x miniSAS port from SATA port 0/1/2/3, 1x miniSAS port from sSATA0/1/2/3; 1x PCIe x4 ports to M.2 connector; SPI interface, connect to BMC to enable BMC the capability to perform BIOS upgrade and recovery; SMBUS interface (master and slave); Intel Server Platform Services (SPS) 3.0 Firmware with Intel Node Manager' in clause 5.4.
|
+| 10 | Storage replacement | - – [b-OCP 1S] provides storage replacement as 'The carrier assembly includes 2x ejectors which are used for card injection/ejection into the PCIe connectors' in clause 5.1.
- – [b-OCP 1S] provides storage replacement as 'The Twin Lakes 1S server supports three M.2 solid-state drives in 2280 or 22110 form factors. Boot M.2 slot is only available in 2280 form factor and it can be configured as either SATA or PCIe interface through BOM options, but not both. A minimum 256GB M.2 SATA or NVMe SSD is required as a boot device and for logging purpose. Two additional SSD drives are designed in to support applications that require high disk performance. These two M.2 slots only support PCIe X4 links but both support SSD drives in 2280 or 22110 form factors' in clause 9.4.
- – [b-OCP 2S] provides storage replacement as 'The motherboard uses Intel PCH chipset, which supports following features: 4x USB 3.0/2.0 ports: one type A for front connector; one type C for front connector; one for BMC in-band firmware update; one to X32 riser connector; 1x M.2 connector; 1x individual SATA 6Gps port; 1x miniSAS HD x8 port or 1x miniSAS HD x4 port; 1x PCIe x4 ports to M.2 connector, colayout with SATA port to M.2 connector; SPI interface, mux with BMC to enable BMC the capability to perform BIOS upgrade and recovery; SPI interface for TPM header' in clause 5.4.
- – [b-OCP AMBH] provides storage replacement as 'PCI-E x16 Slot/Riser Card; PCI-E Mezzanine Card; PCI-E External Connector; SATA' in clauses 10.1,10.2,10.3 and 10.7.
- – [b-OCP BS] provides storage replacement as 'PCIe Expansion Slot; SATA hot-plug drives' in clause 2, Table 2-1.
- – [b-OCP DSBS] provides storage replacement as 'Storage: Two single port AHCI SATA connectors capable of supporting up to 6 Gb/sec; Two SCU 4-port mini-SAS connectors capable of supporting up to 3 Gb/sec SATA/SAS; Two 4-port mini HD connectors capable of supporting up to 6 Gb/sec SATA' and 'Support for PCI Express* 225W/300W High Power Card Electromechanical Specification 1.0' in clause 4, Tables 1 and 2.
- – [b-OCP HSAS] provides storage replacement as '▪ Intel C612
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|---------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | Controller;▪ (2) discrete SATA 7pin for SATA4 and SATA5;▪ (2) MiniSAS SFF-8087 for SATA0~SATA3, sSATA0~sSATA3;▪ 6.0Gb/s speed;▪ SATA SGPIO supported;▪ RAID 0/1/10/5 (Intel RST);▪ (4) Internal MiniSASHD SFF-8643 connectors (Optional)' in clause 8.
- – [b-OCP HSCH] provides storage replacement as 'The BIOS is tuned to minimize card power consumption. It has the following features: • Unused devices are disabled including PCIe* lanes, USB ports, SATA/SAS ports, etc;• BIOS setup menu;• SOC settings are provided to allow tuning to achieve the optimal combination of performance and power consumption' in clause 8.5.2.
- – [b-OCP MB] provides storage replacement as 'The motherboard uses Intel C610 series chipset, which supports following features: 3x USB 3.0/2.0 ports: one for front connector; one for optional vertical onboard connector; one for BMC in-band firmware update; 1x mSATA connector from SATA port 4 co-layout with M.2 connector; 1x individual SATA 6Gps ports from SATA port 5; 1x miniSAS port from SATA port 0/1/2/3, 1x miniSAS port from sSATA0/1/2/3; 1x PCIe x4 ports to M.2 connector; SPI interface, connect to BMC to enable BMC the capability to perform BIOS upgrade and recovery; SMBUS interface (master and slave); Intel Server Platform Services (SPS) 3.0 Firmware with Intel Node Manager' in clause 5.4.
|
+| 11 | Storage redundancy hardware | - – [b-OCP HSAS] provides storage redundancy hardware as 'Storage: RAID 0/1/10/5 (Intel RST)' in clause 8.
- – [b-OCP SJ] provides Storage redundancy hardware as 'SATA RAID KEY: 1x4' in clause 6.12.
|
+| 12 | Storage hibernation | - – [b-OCP 2S] provides storage hibernation as 'Disable any unused devices, such as unused PCI, PCIe ports, USB ports, SATA/SAS ports, clock generator and buffer ports' in clause 6.3.1.
- – [b-OCP HSCH] provides storage hibernation as 'The BIOS is tuned to minimize card power consumption. It has the following features: • Unused devices are disabled including PCIe* lanes, USB ports, SATA/SAS ports, etc.; • BIOS setup menu; • SOC settings are provided to allow tuning to achieve the optimal combination of performance and power consumption' in clause 8.5.2.
- – [b-OCP MB] provides storage hibernation as 'The BIOS should be tuned to minimize system power consumption and maximize performance. This includes: Disable any unused devices, such as unused PCI, PCIe ports, USB ports, SATA/SAS ports, clock generator and buffer ports. Tuning CPU/Chipset settings to reach minimized power consumption and best performance in a data centre environment' in clause 6.3.1.
|
+| 13 | Hardware-assisted I/O virtualization | - – [b-OCP OBIOS] describes how Intel Virtualization Technology (Intel VT) must be supported via platform BIOS policy variable, in clause 4.8.
|
+| 14 | I/O devices direct accessing | - – [b-OCP 25GDual] describes how QL41202 shall support single root I/O virtualization (SR-IOV), in clause .12.
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|-------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| 15 | Workload offload | - – [b-OCP 25GDual] describes how QL41202 shall support offload traffic types RDMA over Converged Ethernet (RoCE) on each of the ports and also support Internet wide area RDMA protocol (iWARP), in clause 12.
|
+| 16 | Hardware acceleration | - – [b-OCP OBIOS] describes key features for WCS Intel Xeon Scalable Platform, support 2 GP-GPU+1 PCIe card in 2U, in clause 2.2.
- – [b-OCP BS] describes QCT Grantley platform will be 16 DIMMs and support 8 GPGPU cards and Max. 8x 2.5"HDDs' in clause 1.
|
+| 17 | Power supply replacement | - – [b-OCP OCSSSD] describes how OCS v2.0 servers shall support drives with volatile write caches by leveraging the server backup power supply in clause 11.3 Power-Loss Protection.
- – [b-OCP OCTAM] Indicates that when PSU ALERT# signal occurs, the Olympus PSU has transitioned its power source from AC to battery backup, in clause 7.4.
|
+| 18 | Supporting power redundancy | - – [b-ETSI EVE007] provide power redundancy as 'Power supply redundancy may be achieved by installing more than one power supply unit' in clause 5.3.3.2.
- – [b-OCP 1S] require platform designers to provide adequate power and cooling to properly handle the SoC's power and thermal requirements, in clause 3 overview.
- – [b-OCP 1S] require Twin Lakes 1S Server to provide a standby 3.3V_AUX power rail on the card to power the Bridge IC at all power states, in clause 8.1.2.
- – [b-OCP HSAS] describe that the Hyve Solutions Ambient Series-E servers support single or redundant power supply, in clause 11.
|
+| 19 | Minimum energy consumption | - – [b-ETSI EVE007] provides minimum energy consumption as 'different forms of processors would be utilized for different types of services to improve power efficiency' in clause 5.2.
- – [b-OCP 1S] describes that the Twin Lakes 1S server recommend a power-capping implementation to reduce the server's power consumption (cut off power in certain time) in clause 8.4.
- – [b-OCP OAPM] describe that the motherboard supports Emergency Power Reduction mechanism (PWRBRK#) for the x16 PCIe slots in clause 7.5.
- – [b-OCP OCTAM] describes how the motherboard supports Emergency Power Reduction mechanism (PWRBRK#) for the x16 and x32 PCIe slots in clause 7.5.
- – [b-OCP OMB] describes how the motherboard supports Emergency Power Reduction mechanism (PWRBRK#) for the x16 PCIe slots in clause 6.5, the main purpose is to provide a power reduction mechanism for GPGPU cards as part of the throttle and power capping strategy.
- – [b-OCP HSCH] describes how the BIOS is tuned to minimize card power consumption. It has the following features: • Unused devices are disabled including PCIe* lanes, USB ports, SATA/SAS ports, etc.;
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|---------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | - • BIOS setup menu; • SOC settings are provided to allow tuning to achieve the optimal combination of performance and power consumption' in clause 8.5.2.
- – [b-OCP HSCH] describes how each card must provide temperature sensors for the SOC, the SO-DIMM(s) (if they are used) and one ambient temperature sensor. All temperature readings for each sensor must be readable via the management sideband interface to the baseboard. Additionally, over-temperature thresholds are configurable and an alert mechanism is provided to enable thermal shutdown and/or an increase in airflow. The sensors are accurate to +/-3C' in clause 5.4.
|
+| 20 | Interface for monitoring power | - – [b-ETSI EVE007] provides interface for monitoring power as 'Each power supply unit should be capable of measuring and remotely reporting the following operational parameters' in clause 5.3.4.2.
- – [b-OCP 1S] describes how the Twin Lakes 1S server shall uses power sensor to measure Card and SoC power consumption. The power data can be used by the platform for power management purposes. The Twin Lakes 1S server supports an Advanced Configuration Power Interface (ACPI)-compliant power button and reset signals from the platform, in clause 3 overview and clause 6.5.
- – [b-OCP AMBH] describes how to use BMC to monitor power in clause 7.2 and use PMBUS interface to enable the BMC to report server input power in clause 8.6.
- – [b-OCP DSBS] describes how Decathlete Server Board shall support power supply redundancy monitoring and support in clause 8.1.2.
- – [b-OCP TP] requires vendors to implement BMC firmware to support remote system power on/off/cycle and warm reboot through In-Band or Out-of-Band IPMI commands in clause 8.4 and support platform power monitoring in clause 8.8.
|
+| 21 | Cooling component replacement | - – [b-OCP 2S] describes that if and only if one rotor in server fan fails, the negative or positive DC pressurization can be considered in the thermal solution in the hot aisle or in cold aisle respectively in clause 10.2.4.
|
+| 22 | Cooling component redundancy | - – [b-OCP 2S] provides a description of fan redundancy which is one implementation of cooling redundancy – as 'the server fans at N+1 redundancy should be sufficient for cooling server components to temperatures below their maximum spec to prevent server shut down or to prevent either CPU or memory throttling' in clause 10.2.5.
- – [b-OCP O1USM] requires fans to be N+2 redundant to optimize fan efficiency and server availability while eliminating the need for hot swap capability in clause 4.4.
- – [b-OCP O2USM] requires fans to be N+2 redundant to optimize fan efficiency and server availability while eliminating the need for hot swap capability in clause 4.4.
- – [b-OCP TP] describe how server fans should be N+1 redundancy to be sufficient for cooling server components to temperatures below their maximum spec to prevent server shut down or to prevent either
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|----------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | CPU or memory throttling in clause 9.2.5. [b-ETSI EVE007] provides Cooling component redundancy as 'Redundancy within the rack cooling system shall provide appropriate levels of cooling to all the rack equipment while the rack cooling system is serviced' in clause 5.5.3. |
+| 23 | Interface for controlling fan speed | - – [b-OCP 2S] requires vendors to enable fan speed control (FSC) on BMC. The FSC algorithm processes sensor data and drives two PWM outputs to optimized speed, in clause 9.12.
- – [b-OCP AMBH] requires ODM to provide system access interface to retrieve hardware sensor readings and control fan speed, in clause 6.
- – [b-OCP DSBS] describes how Decathlete Server Board shall support ACPI to control power and fan speed in clause 8.2.
- – [b-OCP SFCI] describes how server management controller like BMC use standard IPMI commands to manage SFC in whole document.
- – [b-OCP OCSPS] describes that the PSU shall adjust internal fan speed based upon internal temperature sensor(s) in clause 4.3.
- – [b-OCP TP] requires vendors to enable FSC on the BMC in clause 8.12.
|
+| 24 | Monitoring status of physical machine | - – [b-OCP 1S] provides monitoring status set as 'There is also a blinking amber heartbeat LED on the Twin Lakes 1S server to indicate that the Bridge IC is in operating mode' in clause 9.8.
- – [b-OCP 2S] provides system state monitor set as 'There are 4 states of Power/system identification LED depending on system power state and chassis identify status' in clause 9.6.
- – [b-OCP Yose] provides monitor status set as 'On the Adapter Card of a Yosemite V2 sled, there is a power button, a reset button, an OCP debug card and a USB port attached to the current selected 1S server. There are four blue LEDs placed on the baseboard in the same order as 1S server slots to indicate server status' in clause 9.4.
- – [b-OCP O1USM] provides visual indication set as 'A 3D mechanical drawing of the Front Panel is shown in Figure 2. The Front Panel supports the following mechanical features. Status LEDs o UID, Attention, Power Status' in clause 4.1.
|
+| 25 | Visual indications | - – [b-OCP JBOG] provides system event log (SEL) set as 'The BMC needs to support SEL capabilities. The following items are to be logged in the SEL' in clause 7.1.
- – [b-OCP SJ] provides silk screen colour set as 'The colour of silk screen is white and the labels for the components are listed as below' in clause 13.4.
- – [b-OCP Yose] provides visual feedback set as 'The LED associated with the active 1S server blinks as visual feedback to the user. When a BMC is selected, all four LEDs blink as visual feedback to the user' in clause 9.4.1.
- – [b-OCP OAPM] provides visual indication set as 'The motherboard supports a blue UID (unit ID) LED used to help visually locate a specific server within a data centre' in clause 6.11.1.
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|-------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| 26 | Equipment for mounting and removal | - – [b-OCP 1S] provides easy to remove set as 'The air baffle must be easy to service with the goal of requiring no tooling to remove' in clause 6.6.
- – [b-OCP 2S] provides removal set as 'It is installed on a sheet metal panel with tool-less install and removal' in clause 12.2.5.
- – [b-OCP IMBH] provides mounting and removal set as 'In order to remove and install one board without affecting the other board, the following internal connectors are placed as close as possible to front of the board in order to have easy frontal access' in clause 4.2 and "The PCIe* x4 connector can be hot inserted and removed" in clause 10.2.
|
+| 27 | Circulation of air flow | - – [b-OCP 1S] provides air flow set as 'The card level air baffle must be designed to help maintain temperatures of all major components on the server card by reducing bypass air and increasing airflow through key components' in clause 6.6.
- – [b-OCP 2S] provides airflow set as 'The unit of airflow (or volumetric flow) used for this spec is CFM (cubic feet per minute). The maximum allowable airflow per watt in the system must be 0.107' in clause 10.2.26.
- – [b-OCP JBOG] provides system airflow set as 'The unit of airflow (or volumetric flow) used for this spec is CFM (cubic feet per minute). The maximum allowable airflow per watt in the system must be 0.14 at sea level' in clause 8.2.3.
- – [b-OCP SJ] provides cooling set as 'To meet thermal reliability requirement, the thermal and cooling solution should dissipate heat from the components when system operating at its maximum thermal power' in clause 11.
- – [b-OCP Yose] provides airflow set as 'The unit of airflow (or volumetric flow) used for this spec is cubic feet per minute (CFM)' in clause 8.2.5.
|
+| 28 | Interconnect network supports | - – [b-ETSI EVE007] provide interconnect network supports as 'support links of types other than Ethernet' in clause 5.4.2.
- – [b-OCP 1S] provides interconnect set as 'When the SoC's integrated network controller is used as a shared NIC, its SMBus is routed to Connector A as the sideband interface' in clause 7.9.1.
- – [b-OCP 2S] provides interconnect set as 'High speed mid-plane is mid-plane with power delivery, plus high speed interconnect on mid-plane' in clause 12.3.
- – [b-OCP JBOG] provides interconnect set as 'For JBOG with 8x GPUs in SXM2 form factor, it shall support NVLINK interconnection shown below' in clause 4.3.
|
+| 29 | Sharing process unit component | - – [b-OCP 2S] provides share SPI bus set as 'A secondary identical BIOS chip is designed in sharing the same SPI bus with multiplexed CS pin' in clause 6.1.
- – [b-OCP OBIOS] provides share io set as 'ATA controllers running in native mode use their PCI interrupt for both channels and can share
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|---------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | this interrupt with other devices in the system, like any other PCI device' in clause 7.3.1.2. |
+| 30 | Network topology | – [b-OCP OCSB] provides topology set as 'CPU-to-tray backplane mezzanine PCIe link topology' in clause 7.1. |
+| 31 | Configuration of multiple processing units | - – [b-OCP 1S] provides configuration set as 'Set Bridge IC configuration' in clause 9.7.10, Table 6.
- – [b-OCP 2S] provides configuration set as 'Vendor should provide utility under CentOS to perform VR configuration change. Configuration change should take effect without AC cycling node' in clause 15.3.4.
- – [b-OCP OBIOS] provides multi process configuration set as 'The Intel Xeon Scalable processor is implemented with 1 or more cores with each core capable of supporting Intel HT Technology. The result is multiple logical processors in a physical package' in clause 4.13.
|
+| 32 | Providing running information | - – [b-OCP 1S] provides temperature and power sensors set as 'Each card must provide following sensors: Temperature sensors for SOC, DIMM, voltage regulators and other critical chips' in clause 6.5.
- – [b-OCP 2S] provides running monitor set as 'The vendor should implement BMC FW to support thermal monitoring, including processor, memory, chipset, VRs, PCIe card, Mezzanine cards, Inlet/outlet air temperature and airflow sensor' in clause 9.8.
- – [b-OCP AMBH] provides memory reliability as 'Hardware health monitoring display' in clause 5.5.
- – [b-OCP JBOG ] provides monitor set as 'The BMC implemented is to have access to all analog sensors placed in the system and ensure that they are displayed in a sensor data record repository' in clause 7.9.1.1.
- – [b-OCP Yose] provides monitor set as 'During the entire hot-service process, the BMC shall monitor the thermal condition closely' in clause 5.2.
- – [b-OCP AMBH] provides monitor set as 'The BMC can be used to monitor hardware and control fan speed' in clause 6.
- – [b-OCP OBIOS] provides multi process configuration set as 'BIOS requirements for Intel NM enabled firmware NM5 BIOS should implement processor utilization notifications support in ACPI tables' in clause 9.2.2.
|
+| 33 | Automatically power operation | - – [b-OCP 1S] provides power operation set as 'The Twin Lakes 1S server can throttle itself down to lowest possible power state as quickly as possible when the platform asserts the FAST_THROTTLE_N signal or it receives request from BMC, or over power event reported by on-card power monitor' in clause 8.4, and 'The BMC controls power on, off and reset directly via the signals defined in the pin-out' in clause 9.7.13.
- – [b-OCP 2S] provides auto power on set as 'Motherboard should be set to restore last power state during AC on/off. This means that, when AC does on/off cycle, motherboard should power on automatically
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|-----------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | without requiring power button' in clause 15.9.
- – [b-OCP JBOG] provides power operation set as 'Support power on policy to be last-state, always-on and always-off upon recovery from an AC power loss event. T' in clause 7.7.
- – [b-OCP Yose] provides auto power set as 'Now the user can replace the failed unit with a new one, BMC would automatically resume power and boot the new card' in clause 5.2.
- – [b-OCP OBIOS] provides power controller set as 'The following actions are available on expiration of the Watchdog Timer: • System Reset• System Power Off• System Power Cycle• Pre-timeout Interrupt (OPTIONAL)' in clause 9.2.2.
|
+| 34 | Monitoring environment condition | |
+| 35 | Self-checking mechanism | - – [b-OCP 2S] provides get selftest result set as 'Get Selftest Results (0x04) in clause 9.13.
- – [b-OCP TP] provides selftest set as 'During system boot-up, POST (Power-On-SelfTest ) codes will be send to port 80 and decoded by the BMC to drive the LED display as described in section 8.5. P' in clause 8.2.
- – [b-OCP OBIOS] provides selftest set as 'Built-In Self-Test (BIST) The BIST_ENABLE can be controlled by a BMC, GPO, strap or other mechanism. BIOS shall implement a platform policy to control BIST execution' in clause 4.12.
|
+| 36 | Provide I/O interface to administrator | - – [b-OCP 1S] provides 'The primary x16 PCIe edge connector supports: USB 2.0 port' in clause 3.
- – [b-OCP 2S] provides 'support of GUI and KVM on hardware level to accommodate the OCP customers whose environment requires using of VGA and KVM' in clause 9.3.
- – [b-OCP SJ] provides 'USB and VGA' in clause 4.2.
- – [b-OCP Yose] provides 'supports a VGA interface' in clause 9.5.
- – [b-OCP 1S] provides keyboard interface as 'Bridge IC provides ways to transfer messages between them via KCS interfaces. For in-band management, the Bridge IC can forward the SoC's Keyboard Controller Style (KCS) request to the BMC' in clause 9.7.3.
- – [b-OCP AMBH] provides USB interface as 'The motherboard has two external USB ports located in the front of the motherboard. The BIOS supports the following USB devices: Keyboard and mouse' in clause 10.6.
- – [b-OCP TP] provides USB interface as 'The motherboard has one external Type-A, right angle USB 2.0/3.0 port and one USB 3.0. Type-C port located in front of the motherboard. The BIOS should support the following USB devices: USB keyboard and mouse' in clause 10.5.
- – [b-OCP Yose] provides VGA support as 'The Yosemite V2 Platform supports a VGA interface. The original SATA interface on 1S server
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|---------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | interface has been repurposed to be a x1 PCIe link' in clause 9.5.
- – [b-OCP DSBS] provides USB support as 'The server board SHALL provide two external USB ports and the BIOS SHALL support the following USB devices: Keyboard and mouse ,Bootable USB flash drive, Bootable USB hard disk, Bootable USB optical disk' in clause 6.2.
|
+| 37 | Provide I/O interface to external storage device | - – [b-OCP 1S] provides interface to external storage as 'Boot M.2 slot is only available in 2280 form factor and it can be configured as either SATA or PCIe interface through BOM options' in clause 9.4.
- – [b-OCP AMBH] provides SATA port as 'The motherboard has SP5100 interfaces on board, which support up to six SATA ports' in clause 10.7.
- – [b-OCP TP] provides SATA port as 'SATA port 0~7 can be connected to one vertical mini-SAS HD 8 ports connector. sSATA ports 2~5 can be connected to one mini-SAS HD 4 ports connector' in clause 10.6.
- – [b-OCP O2USM] provides SATA port as 'Supports up to 12 SATA devices' in clause 4.
- – [b-OCP DSBS] provides SATA port as 'The server board SHALL have support up to six SATA ports' in clause 6.3.
|
+| 38 | Network interface virtualization | - – [b-OCP 25GDual] provides network virtualization as 'Support receive side scaling (RSS), single root I/O virtualization (SR-IOV), VLAN tagging, Layer 2 priority encoding, link aggregation and full-duplex flow control 802.3 functions in the MAC' in Table 1.
|
+| 39 | Device driver and API supports | - – [b-ETSI EVE007] provide device driver and API supports as 'the network interface should be configurable to service either a management or production network' in clause 5.6.2.
- – [b-OCP 1S] provides device driver support as 'The Twin Lakes 1S server supports three M.2 solid-state drives in 2280 or 22110 form factors' in clause 3.
- – [b-OCP 2S] provides device driver support as 'All data network and management network should have this capability. This includes, but not limit to: DHCP and static IP setting, PXE booting capability, NIC and BMC firmware support, OS driver and utility in both IPv4 and IPv6' in clause 11.4.3.
- – [b-OCP AMBH] provides device driver support as 'The x4 connector can be hot inserted and removed. A PCI-E re-driver is used for PCI-E external links and supports a miniSAS cable up to 2 meters long' in clause 10.3.
- – [b-OCP TP] provides device driver support as 'It is recommended that PCB is planned with three vendors at EVT. EVT and DVT build plan should cover all possible combinations of key components of DC-DC VR including output inductor, MOSFETs and driver' in clause 18.9.
|
+| 40 | Processing unit operation | - – [b-OCP 1S] provides power operation as 'server shall have the power monitoring capability to read power consumption reliably and accurately and can report a one-second average power reading with 3% accuracy' in clause 8.4.
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|---------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | - – [b-OCP 2S] provides monitoring information as 'BMC should implement thermal monitoring feature for PCIe card on riser and Mezzanine card. BMC reads the temperature of key components of PCIe and Mezzanine cards through its SMBus ports in the format as TMP421 temperature sensor. BMC' in clause 9.18.
- – [b-OCP AMBH] provides monitoring information as 'The ODM needs to provide a system access interface and application to retrieve hardware monitoring sensor readings, including at minimum, lm_sensors, a Linux application for the CentOS operating system and its driver' in clause 6.
- – [b-OCP AMBH] provides power operation as 'The motherboard includes a power switch, reset switch, power LED, HDD activity LED and beep error LED' in clause 10.9.
- – [b-OCP Yose] provides monitoring information as 'The BMC firmware shall support platform power monitoring. The BMC firmware shall support thermal monitoring' in clause 6.13.
- – [b-OCP DSBS] provides monitoring information as 'The management controller SHALL support the following IPMI features: Sensor device and sensor scanning/monitoring' in clause 8.11.
- – [b-OCP NIC] provides monitoring information as 'When the temperature sensor reporting function is implemented, the OCP NIC 3.0 card shall support PLDM for Platform Monitoring and Control (DSP0248 1.1 compliant) for temperature reporting' in Table 49: Temperature Reporting Requirements.
|
+| 41 | Remote management | - – [b-ETSI EVE007] provide Remote management as 'The BMC/service processor shall be accessible remotely via Ethernet network' in clause 5.6.2.
- – [b-OCP 1S] provides remote BIOS update as 'The BIOS can be updated remotely under these scenarios' in clause 9.6.8.
- – [b-OCP 2S] provides remote BIOS update as 'Vendors should provide tool(s) to implement remote BIOS update function' in clause 6.3.6.
- – [b-OCP AMBH] provides remote BIOS firmware update as 'The motherboard has SP5100 interfaces on board, which support up to six SATA ports' in clause 7.6.
- – [b-OCP AMBH] provides remote power control as 'The BMC supports remote system power on/off and reboot through LAN or IPMB' in clause 7.4.
- – [b-OCP Yose] provides remote BMC firmware update as 'Vendors should provide tool(s) to implement a remote BMC firmware update, which will not require any physical input' in clause 6.17.
- – [b-OCP DSBS] provides remote machine management as 'A Revision 1.0 Decathlete server board SHALL implement the requirements of the OCP Open Hardware Management Specification for Remote Machine Management (Version 0.93)' in clause 10.
|
+| 42 | Diagnostic of physical machine | - – [b-ETSI EVE007] provide diagnostic of physical machine as 'the rack power subsystem should provide a means to report power system fault
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|--------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | events' in clause 5.3.2.3.
- – [b-OCP 2S] provides error log as 'Error to be logged' in clause 9.11.1.
- – [b-OCP AMBH] provides system log as 'The BIOS logs system events through the baseboard management controller (BMC)' in clause 5.10.
- – [b-OCP Yose] provides event log as 'The vendor should implement the BMC to support storing events/logs from each 1S server baseboard, device carrier card and mezzanine card' in clause 6.15.
- – [b-OCP DSBS] provides log as 'The Decathlete server board standard will define a minimal set of error handling and alerts. These features may become a section of this standard, or may be a standalone specification authored by the OCP Hardware Management project' in clause 9.
|
+| 43 | Expansion of interconnect network | - – [b-OCP Yose] provides network connectivity as 'The network controller vendors offer Network Interface Cards (NICs) that support multi-host functions. These multi-host NICs provide network connectivity to multiple servers through a PCIe interface' in clause 5.7.6.
- – [b-OCP DSBS] provides network connectors as 'The server board SHALL have one LAN device to support the RJ-45 network interface connectors' in clause 6.1.
- – [b-OCP NIC] provides network interconnect as 'NC-SI over RBT capable OCP NIC 3.0 cards shall use a unique Package ID per ASIC when multiple ASICs share the single NC-SI physical interconnect to ensure there are no addressing conflicts' in clause 4.8.1.
|
+| 44 | I/O interface for device extensions | - – [b-OCP OCSB] provides I/O interface for device extensions as 'High-Speed Interface Topologies' in clause 7.
- – [b-OCP 2S] provides I/O interface for device extensions as 'PCIe x32 Slot/Riser Card' in clause 11.1.
- – [b-OCP JBOG] provides I/O interface for device extensions as '8 x16 PCIe Gen3 slots for GPU' in clause 4.1.
- – [b-OCP HSAS] provides I/O interface for device extensions as 'PCIe Port Assignments' in clause 8.
- – [b-OCP QGD] provides I/O interface for device extensions as 'PCIe expansion slot' in clause 2.
- – [b-OCP DSBS] provides I/O interface for device extensions as 'The server board SHALL provide support for one riser card and MAY provide support for two riser cards. The riser card slots can be configured to meet any range of usage models' in clause 6.4.
|
+| 45 | Processing unit replacement | - – [b-OCP Yose] provides processing unit replacement as 'The USB connections from all 1S servers are connected to the BMC's virtual hub port through a USB multiplexer so that a user could upgrade the BMC firmware via a USB interface from a 1S server. This method is much faster than going through the OOB' in clause 5.2.
- – [b-OCP NIC] provides processing unit replacement as 'A multi-host capable OCP NIC 3.0 card shall gracefully handle concurrent in-band queries from multiple hosts and out-of-band access from the BMC for firmware component versions, device model and device ID'
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|------------|--------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | information' in clause 4.7.3.
- – [b-OCP OCSB] provide processing unit replacement as 'Tray Backplane Interface' in clause 9.1.
- – [b-OCP OCSTRAY] provide Processing unit replacement as 'The connector interfaces between the tray mezzanine card and the tray backplane use the Samtec SEARAY solution' in clause 2.
|
+| 46 | Adding processing units | - – [b-OCP OCSC] provide adding processing units as 'support trays that house up to 24 individual OCS blades' as clause 2.
- – [b-OCP Yose] provide adding processing units as 'support multi-host functions' in clause 5.7.6.
|
+| 47 | Adding sub-components of processing units | - – [b-OCP 2S] provide adding memory of processing units as '2x DDR4 slots per channel' In clause 5.3.2.
- – [b-OCP IMBH] provide adding sub-components of processing units as 'two PCIe* x4 external connectors on the motherboard' in clause 10.2.
- – [b-OCP AMBH] provide adding sub-components of processing units as 'motherboard's I/O features' in clause 10.
|
+| 48 | Adding power supply | - – [b-OCP OCSC] provide adding power supply as 'PDU placement' in clause 3.1.3.
- – [b-OCP AMBH] provide adding sub-components of processing units as 'The motherboard includes a full server management solution and supports interfaces to an integrated or a set of rear-access 12V Power Supply Units (PSUs)' in clause 3.
|
+| 49 | Adding cooling component | - – [b-OCP OCSC] provide adding cooling component as 'Fan tray (includes six 140 x 140 mm fans in parallel)' in clause 4.2.
- – [b-OCP O2USM] provide adding cooling component as 'A maximum of six 40mm fans may be used to cool the components in a single U, with a maximum of twelve 40mm fans* in a 2U server configuration.' in clause 4.4.
|
+| 50 | No additional ports | |
+| 51 | Authorized access | - – [b-DMTF RedfishAPI] provide authorized access as support both 'Basic Authentication' and 'Redfish Session Login Authentication' in clause 9.2.
- – [b-DMTF RedfishHI] provide authorized access as 'Opening a Redfish session on the Host Interface may be accomplished by use of any authorized Redfish credentials' in clause 9.
- – [b-SNIA Swordfish] provide authorized access as 'Implement TLS version 1.2 or greater' in clause 8.1.
|
+| 52 | Support fault location | - – [b-ETSI EVE007] provide fault location support as 'hardware with fast failure detection' in clause 5.11.
- – [b-OCP 1S] provide fault location as 'these errors must include the date, time and location information so that failing components can be easily identified' in clause 9.6.10.
- – [b-OCP 2S] provide fault location as 'A power failure detection circuit needs to be implemented to initiate 3x actions related to data
|
+
+**Table I.5 – Relationship with related specifications from other SDOs**
+
+| NO. | Requirements in this Recommendation | Relationship with related specifications from other SDOs |
+|-----|-------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | transferring' in clause 5.3.3.
- – [b-OCP 2S] provide fault location as 'All POST errors, which are detected by BIOS during POST, should be logged into Event Log' in clause 9.11.1.
- – [b-OCP Yose] provide fault location as 'Fan failure errors should be logged if the fan speed reading is outside expected ranges between the lower and upper critical thresholds. The Error log should also identify which fan fails' in clause 6.15.1.7.
|
+| 53 | Hot-plug support | - – [b-ETSI EVE007] provide hot-plug support as 'Supporting hot-plug for vulnerable components, including hard drive and optical modules' in clause 5.11.
- – [b-OCP OCSPPS] provide hot-plug support as 'The power supply shall be hot pluggable' in clause 1.
- – [b-OCP OCSB] provide hot-plug support as 'The blade contains a NIC mezzanine card to provide small form-factor pluggable (SFP+) and Quad SFP (QSFP+) cable connectivity' in clause 7.2.
- – [b-OCP 2S] provide hot-plug support as 'the x32 PCIe in riser slot shall support Standard PCIe signal hot swap' in clause 5.5.2.
- – [b-OCP TP] provide hot-plug support as 'PCIe Hot Plug' in clause 5.5.1.
|
+
+# Appendix II
+
+## Use cases of the physical machine for cloud computing
+
+(This appendix does not form an integral part of this Recommendation.)
+
+This appendix describes physical machine related use cases.
+
+**Table II.1 – Providing IaaS service with processing resource – use case**
+
+| | |
+|---------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | Providing IaaS service with processing resource use case |
+| Description | Infrastructure capabilities type, especially for providing VM, which is resided on a physical machine. The virtual machine provides a virtualized and isolated computing environment for each guest operating system (OS) with processing, storage, networking and other hardware resources. Usually a physical machine would carry more than one virtual machine and needs to provide more virtual CPU than physical CPU, so as the memory and I/O devices. Furthermore, the physical machine usually provides a management function for the CSP to manage and monitor the physical machines. The loading information would help the CSP to select which host to deploy the VMs and the fault location information could help the CSP easily replace the failure component. As more applications run in one physical machine, the reliability is required so that it could continue to run and bear the services without migrating when there are few failures. As some applications may require some other hardware components with special features, the physical machine would have to reserve one or more extended interfaces for adding cloud resources. To improve the VM's performance, the physical machines usually use CPUs with virtualization instruction set support. For situations with a lot of network traffic processing, physical machines can offload traffic processing to I/O devices to improve performance and reduce the load of CPUs.
|
+| Roles/sub-roles | CSP: cloud service operations manager |
+| Figure | Image: Diagram illustrating the use case of providing IaaS service with processing resource. The diagram shows a 'Cloud service operations manager' (represented by three people icons) interacting with a physical server and a resource pool. On the left, a physical server is shown with components: 'Storage devices', 'Processing devices', 'Memory devices', and 'Networking devices' connected to an 'Enclosure'. Above the enclosure is a 'Service hypervisor' layer, which supports three 'Virtual machine' instances under the heading 'Provide VM service'. On the right, a 'Resource pool' is shown, consisting of multiple server racks, with the text 'Constructing a resource pool with several physical machines'. Arrows indicate the flow of management and resource allocation from the CSP to the physical infrastructure and the resource pool. A green triangle highlights the connection between the physical server and the resource pool.
Y.3507(18)_FII.Tab1
|
+| Pre-conditions (optional) | The virtual machine resides on the physical machine. |
+
+**Table II.1 – Providing IaaS service with processing resource – use case**
+
+| | |
+|----------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Post-conditions (optional) | CSP: cloud service operations manager wants to build or expand a resource pool to provide VM service. |
+| Derived requirements | - – Virtualization instruction set (see clause 7.1.1.1)
- – Hardware-assisted I/O virtualization (see clause 7.1.1.4)
- – Hardware-assisted memory virtualization (see clause 7.1.1.2)
- – Supporting various types of memory (see clause 7.1.1.2)
- – Network interface virtualization (see clause 7.2)
- – Provide I/O interface to administrator (see clause 7.2)
- – Provide I/O interface to external storage device (see clause 7.2)
- – I/O devices direct accessing (see clause 7.1.1.4)
- – Monitoring status of physical machine (see clause 7.1.4)
- – Automatically power operation (see clause 7.1.6)
- – Processing unit operation (see clause 7.3)
- – Remote management (see clause 7.3)
- – Support fault location (see clause 7.6)
- – Hot-plug support (see clause 7.6)
- – Workload offload (see clause 7.1.1.4)
- – Hardware acceleration (see clause 7.1.1.4)
- – Interface for monitoring power (see clause 7.1.2)
|
+
+**Table II.2 – Preparing a physical machine – use case**
+
+| | |
+|-----------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | Preparing a physical machine |
+| Description | A cloud service operations manager installs multiple processing units on the backplane of an enclosure to increase the computing resources of a physical machine. He or she also installs more than one storage device per CPU in a processing unit through standard storage interfaces.
To connect all multiple processing units together, a cloud service operations manager mounts a switch device which is responsible for system interconnects and network topology to the backplane of the enclosure.
In addition, the enclosure is equipped with a power supply to provide power to an entire physical machine and a cooling device to reduce heating. A cloud service operations manager should be able to check whether each device is installed in a physical machine correctly through a console panel on the enclosure.
System software and operating systems are installed on corresponding devices or rebooted and consequently a physical machine completes to set up its operations.
Based on the above steps to construct a physical machine, several physical machines are connected with each other by their external interfaces and can be installed in a standard rack.
|
+| Roles/sub-roles | CSP: cloud service operations manager. |
+
+**Table II.2 – Preparing a physical machine – use case**
+
+| | |
+|----------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Figure | Image: Diagram illustrating the preparation of a physical machine. A Cloud service operations manager (represented by a person icon) is shown at the top, with arrows pointing down to two main stages: 'Constructing a physical machine' and 'Constructing a rack with several physical machines'. The 'Constructing a physical machine' stage shows a detailed view of a server enclosure with components labeled: Cooling device, Power supply, Processing unit, Storage device, Switch device, Enclosure, Console panel, and Backplane. The 'Constructing a rack with several physical machines' stage shows a stack of server racks. A red dashed line connects the two stages, indicating the flow from individual machine construction to rack assembly. The diagram is labeled 'Y.3507(18)_Fil.Tab2' in the bottom right corner.
|
+| Pre-conditions (optional) | CSP: cloud service operations manager wants to modify or expand the resources in a physical machine. |
+| Post-conditions (optional) | A physical machine provides a cloud service. |
+| Derived requirements | - – Hot-plug support (see clause 7.6)
- – Configuration of multiple processing units (see clause 7.1.5)
- – Monitoring status of physical machine (see clause 7.1.4)
|
+
+**Table II.3 – Cold data storage resource – use case**
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | Cold data storage resource use case |
+| Description | Cold data means data that is stored but almost never read again. The cloud storage service for cold data provides almost no limit storage capacity at a very low cost and the physical machine for cold data storage requires the highest capacity and the lowest cost. The typical use case is a series of sequential writes, but random reads. As the physical machine is recommended to provide as much storage capacity as possible, it would have many large-capacity disks. To provide a highly durable storage service, the physical machine is recommended to provide management function for the CSP to manage and monitor the physical machine cluster and then the CSP can rebuild the data in time when some failures happen, also the hot plug function is needed. Physical machines usually support storage of different media to balance between cost and performance for different situations.
|
+| Roles/sub-roles | CSP: cloud service operations manager |
+
+**Table II.3 – Cold data storage resource – use case**
+
+| | |
+|-----------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Figure
| Image: Diagram illustrating the cold data storage resource use case. The diagram shows the interaction between a CSP (Cloud service operations manager) and CSU (Cloud service user). The CSP provides a cold data storage service through a server storage software system, which includes data copies and a server network. The CSU requests the service and uses it. The physical server construction is shown with components like processing devices, memory devices, storage devices, networking devices, and an enclosure.
The diagram illustrates the cold data storage resource use case. It shows the interaction between a CSP (Cloud service operations manager) and a CSU (Cloud service user). The CSP provides a cold data storage service through a server storage software system, which includes data copies and a server network. The CSU requests the service and uses it. The physical server construction is shown with components like processing devices, memory devices, storage devices, networking devices, and an enclosure.
Y.3507(18)_FII.Tab3
|
+| Pre-conditions (optional)
| The cloud storage service resides on the physical machine.
|
+| Post-conditions (optional)
| CSP: cloud service operations manager wants to build or expand a resource pool to provide cloud storage service for cold data.
|
+| Derived requirements
| - – Hot-plug support (see clause 7.6)
- – Low power consumption of CPU (see clause 7.1.1.1)
- – Supporting various types of memory (see clause 7.1.1.2)
- – Provide I/O interface to administrator (see clause 7.2)
- – Provide I/O interface to external storage device (see clause 7.2)
- – Storage hibernation (see clause 7.1.1.3 )
- – Remote management (see clause 7.3)
- – Diagnostic of physical machine (see clause 7.3)
- – Multiple interfaces for storage (see clause 7.1.1.3)
- – I/O interface for device extensions
|
+
+**Table II.4 – Using an interconnect network for high-performance service – use case**
+
+| | |
+|---------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | Using interconnect network for high-performance service |
+| Description | When a cloud service user requests a high performance computing service (e.g., parallel processing, Big data processing, etc.), a cloud service operations manager is responsible for setting up an interconnection network among processing units, because multiple computing resources are required to perform such a service.
Ethernet is a widely used protocol for the interconnection network but the cloud service operations manager may provide other protocols. Therefore, depending on the protocols, the performance of the interconnect network is determined and the cloud service operations manager can select and provide the appropriate interconnect network to the cloud service user.
For utilizing this interconnect network system, a cloud service user can employ socket based applications in the case of using Ethernet protocol. For other networks, a cloud service user is provided with applications per application program interfaces (API) from a cloud service operations manager. This is due to the fact that, a cloud operations manager also has a responsibility to provide a device driver and API for utilizing the propriety network.
Occasionally, a cloud service user may request multiple physical machines for such a service. In this case, a cloud operations manager has a responsibility to support multiple shared resources through the network. Since the physical machines are independent of network devices, this network would be arranged as cabling in an interconnect network.
When a cloud service operations manager makes this cabled network, it is constructed to support various topologies (e.g., ring, mesh, tree) to meet the different performance levels of the service requested from a cloud service user.
|
+| Roles/sub-roles | CSC: Cloud service user and CSP: Cloud service operations manager |
+| Figure | Image: Diagram illustrating the interconnect network setup for high-performance computing. It shows a Cloud Service User (CSC) requesting a service from a Cloud Service Operations Manager (CSP). The CSP sets up a network consisting of multiple servers (Proprietary network (Cabling) and Ethernet network (Cabling)) connected to a central Computing node. The CSP then uses the system, and the CSC utilizes the network. The network is also connected to a Proprietary network (backplane) and an Ethernet network (backplane).
The diagram illustrates the interconnect network setup for high-performance computing. It shows a Cloud Service User (CSC) requesting a service from a Cloud Service Operations Manager (CSP). The CSP sets up a network consisting of multiple servers (Proprietary network (Cabling) and Ethernet network (Cabling)) connected to a central Computing node. The CSP then uses the system, and the CSC utilizes the network. The network is also connected to a Proprietary network (backplane) and an Ethernet network (backplane).
|
+| Pre-conditions (optional) | CSC: Cloud service user wants to use a high performance computing application. |
+
+Y.3507(18)\_FII.Tab4
+
+**Table II.4 – Using an interconnect network for high-performance service – use case**
+
+| | |
+|----------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Post-conditions (optional) | Physical machines can run a high performance computing application through a system interconnect network and cabled network. |
+| Derived requirements | - – Sharing process unit component (see clause 7.1.5)
- – Interconnect network supports (see clause 7.1.5)
- – Device driver and API supports (see clause 7.2)
- – Expansion of interconnect network (see clause 7.4)
- – Network topology (see clause 7.1.5)
|
+
+**Table II.5 – Physical machine for hyper-scale deployment – use case**
+
+| | | |
+|---------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | Physical machine for hyper-scale deployment | |
+| Description | This use case covers the situation where very large numbers of physical machines will be employed in multiple data centres around a region or around the world. In this case, a single physical machine will typically be implemented as a server blade that fits into a specially built rack. The rack will typically also include storage, management and networking equipment, which might or might not be implemented using similar blades. | |
+| Roles/sub-roles | CSP: cloud service operations manager. | |
+| Figure |
| In this type of deployment, physical machines are constructed for deployment in high-density racks specifically designed for the purpose. Each rack provides all the infrastructure required to support the machines, including power, network connectivity and ventilation/cooling. Individual physical machines are automatically initialised and provisioned with necessary software when plugged into an active rack. Once running, each machine is made available for the deployment of VMs or other functions requested by CSCs or CSP administrators. Fault tolerance is often provided by software across multiple machines, so an individual machine can fail without adverse effect on the overall system. |
+| Pre-conditions (optional) | CSP: The CSP wishes to deploy many physical machines in two or more locations, using minimal staffing. | |
+
+**Table II.5 – Physical machine for hyper-scale deployment – use case**
+
+| | |
+|----------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Post-conditions (optional) | A physical machine is plugged into a rack, configures itself to the local network and is automatically provisioned with all necessary software including the host operating system, network stacks and hypervisor. The data centre management system is then able to deploy workloads to the machine. In the event of failure, the machine can be removed from the rack and a replacement plugged in with minimal impact on deployed cloud services.
A data centre can be left unmanned for several days or weeks at a time. When visited, the failed machines can be quickly removed and replaced by new or refurbished machines, which configure and provision themselves automatically.
|
+| Derived requirements | - – Minimum energy consumption (see clause 7.1.2)
- – No additional ports (see clause 7.5)
- – Authorized access (see clause 7.5)
- – Hot-plug support (see clause 7.6)
- – Visual indications (see clause 7.1.4)
|
+
+**Table II.6 – Physical machine for unmanned deployment – use case**
+
+| | | |
+|---------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | Physical machine for unmanned deployment | |
+| Description | This use case covers the situation where physical machines will be in places where physical access is extremely difficult or only available at infrequent intervals. In this case, a single physical machine will typically be implemented as a server blade that fits into a specially built rack. The rack will typically also include storage, management and networking equipment, which might or might not be implemented using similar blades. | |
+| Roles/sub-roles | CSP: cloud service operations manager. | |
+| Figure |
| In this type of deployment, physical machines are constructed for deployment in locations where physical access is very tightly constrained. These will typically be inside some form of self-contained "capsule" rather than a normal building. Examples are systems deployed in underwater containers for positioning close to coastal urban centres. |
+| Pre-conditions (optional) | CSP: The CSP wishes to deploy physical machines in locations where human access will not be possible for the majority or operational time. | |
+
+**Table II.6 – Physical machine for unmanned deployment – use case**
+
+| | |
+|----------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Post-conditions (optional) | The physical machines are left running without human access for periods of six months or more.
The data centre management system can deploy workloads to the machine. In the event of failure, the machine can be taken off line, remote diagnostics can be run and the machine either returned to service or taken permanently offline.
|
+| Derived requirements | - – Minimum energy consumption (see clause 7.1.2)
- – Cooling component replacement (see clause 7.1.3)
- – Cooling component redundancy (see clause 7.1.3)
- – Interface for controlling fan speed (see clause 7.1.3)
- – Self-checking mechanism (see clause 7.1.6)
- – Remote management (see clause 7.3)
- – Diagnostic of physical machine (see clause 7.3)
|
+
+**Table II.7 – Physical machine for network edge – use case**
+
+| | | |
+|---------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | Physical machine for network edge | |
+| Description | This use case covers the situation where physical machines will be in network edge locations such as at 5G cell towers, telephone exchanges and cable TV head-end multiplexers. This is one use of the term "micro data centre". The primary reason for this is to minimise network latency between end users and the cloud services running at the network edge, or to concentrate network traffic at the edge to manage load on core network servers (e.g., for massive IoT telemetry applications).
| |
+| Roles/sub-roles | CSP: cloud service operations manager. | |
+| Figure |
| In this type of deployment, physical machines are constructed for deployment at the edge of the network, usually co-located with access network transmission and/or multiplexing equipment.
Examples of such locations include:
- • Local telephone exchanges
- • Street multiplexers (e.g., FTTC)
- • Cellular towers
- • Cable TV head-ends
- • Airliner WiFi/Cellular network equipment.
|
+| Pre-conditions (optional) | CSP: The CSP wishes to deploy physical machines to support cloud services running at the edge of their (or a partner's) physical network. | |
+
+**Table II.7 – Physical machine for network edge – use case**
+
+| | |
+|----------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Post-conditions (optional) | The physical machine(s) run co-located with other network equipment at the edge of the network. The CSP can deploy cloud services or service components to these network edge micro data centres.
CSUs can access the cloud service within minimal network latency.
The CSP can process large amounts of data from CSUs, without imposing heavy loads on the backhaul network or the core network cloud services.
|
+| Derived requirements | - – Supporting power redundancy (see clause 7.1.2)
- – Adding power supply (see clause 7.4)
- – Adding cooling component (see clause 7.4)
- – Authorized access (see clause 7.5)
- – Hot-plug support (see clause 7.6)
- – Visual indications (see clause 7.1.4)
- – Monitoring environment condition (see clause 7.1.6)
|
+
+**Table II.8 – Configurations of clustering processing units – use case**
+
+| | |
+|-----------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | A use case of configurations of clustering processing units |
+| Description | When a CSC: cloud service user requests a cloud service, a CSP: cloud service operations manager is responsible for providing computing resources, which can run the cloud service. In this case, based on the multiple processing units in the physical machine, it is possible for the CSP: cloud operations manager to configure a clustering system which can distribute the computational loads among the multiple processing resources.
Therefore, in order to utilize highly integrated computing resources efficiently, the CSP: cloud operations manager has a responsibility to configure the clustered processing units. The configuration can be changed dynamically and elastically according to the cloud service's requirements from the CSC: cloud service user. In other words, according to the required cloud service's characteristics (e.g., network usage ratio, computing capability, the proportion of memory intensive computation, an efficiency of distributed computing), the configuration of the cluster system can vary.
In case of a cloud service based on distributed processing clustering configuration is suitable because data analysis work load can be divided into several processing units. On the other hand, when a CSC: cloud service user requests a cloud service, where data communications occur intensively among processing units, minimum numbers of processing units are recommended as a clustered resources.
In addition, the networking between each processing unit for clustering can be basically based on a legacy network such as Ethernet. For a cloud service that is clustering-favourable but has high proportion of network usage among processing units, a proprietary network for clustering environment can be provided to eliminate the overhead of network communications.
|
+| Roles/sub-roles | CSP: cloud service operations manager, CSC: cloud service user |
+
+**Table II.8 – Configurations of clustering processing units – use case**
+
+| | |
+|----------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Figure | Image: Diagram illustrating the configuration of clustering processing units for cloud services. It shows a CSP (Cloud service operations manager) and a CSC (Cloud service user) interacting. The CSP performs 'System set-up' and the CSC 'Use the system'. Three services are shown: Service 1 (Legacy network), Service 2, and Service 3 (Proprietary network). A Physical machine is shown with Processing units.
The diagram illustrates the configuration of clustering processing units for cloud services. It shows a CSP (Cloud service operations manager) and a CSC (Cloud service user) interacting. The CSP performs 'System set-up' and the CSC 'Use the system'. Three services are shown: Service 1 (Legacy network), Service 2, and Service 3 (Proprietary network). A Physical machine is shown with Processing units.
Y.3507(18)_FII.Tab8
|
+| Pre-conditions (optional) | CSC: cloud service user wants to use a cloud service. |
+| Post-conditions (optional) | Physical machines can run a cloud service efficiently and elastically according to the desired performance. |
+| Derived requirements | - – Configuration of multiple processing units (see clause 7.1.5)
- – Multiple CPUs (see clause 7.1.1.1)
- – Adding processing units (see clause 7.4)
- – Adding sub-components of processing units (see clause 7.4)
- – Network topology (see clause 7.1.5)
- – Interconnect network supports (see clause 7.1.5)
- – Device driver and API supports (see clause 7.2)
|
+
+**Table II.9 – Replacing components of a physical machine – use case**
+
+| | |
+|----------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | A use case of replacing components of physical machine |
+| Description | This use case covers the situation where components of physical machine be replaced. After deployment and operation, a component of physical machine may need to be replaced with another new one due to component failure. In addition, a component could be replaced with component of other model to upgrade the performance.
Typically, physical machine should support replacement of the main components, including CPU, memory, storage, power supply and cooling component.
|
+| Roles/sub-roles | CSP: cloud service operations manager |
+| Figure |
To support replacement, the components are not coupled to the physical machine so that the components can be installed or uninstalled dynamically. Typically, the components are designed to follow certain specifications to ensure compatible interface and shape.
|
+| Pre-conditions (optional) | CSP wishes to replace some components of physical machines to fix components failure or upgrade components. |
+| Post-conditions (optional) | Physical machine can runs normally with the new components. |
+| Derived requirements | - – CPU replacement (see clause 7.1.1.1)
- – Memory replacement (see clause 7.1.1.2)
- – Storage replacement (see clause 7.1.1.3)
- – Processing unit replacement (see clause 7.4)
- – Equipment for mounting and removal (see clause 7.1.4)
- – Power supply replacement (see clause 7.1.2)
- – Cooling component replacement (see clause 7.1.3)
|
+
+**Table II.10 – High reliability deployment – use case**
+
+| | |
+|----------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | A use case for high reliability deployment |
+| Description | This use case covers the situation where physical machine will be deployed with high reliability. To achieve high reliability, physical machine needs to be deployed with redundant main components, such as CPU, power supply and cooling component. In addition, physical machine needs to support technology to reduce data errors and data loss at work, such as memory error correction and RAID.
Trough RAID technology, data of physical machine is distributed across multiple drives in different ways, referred to as RAID levels, depending on the required level of redundancy and performance. Take RAID1 as an example, as shown in below figure, RAID 1 consists of an exact copy (or mirror) of a set of data on two or more disks. The data of physical machine will not loss so long as at least one member drive is operational.
|
+| Roles/sub-roles | CSP: cloud service operations manager |
+| Figure |
Y.3507(18)_FII.Tab10
|
+| Pre-conditions (optional) | CSP wishes to deploy physical machines with high reliability. |
+| Post-conditions (optional) | Physical machines can still work when some components fail. The physical machine can reduce data errors and losses due to memory and storage failures. |
+| Derived requirements | - – Multiple CPUs (see clause 7.1.1.1)
- – Memory reliability (see clause 7.1.1.2)
- – Storage redundancy hardware (see clause 7.1.1.3)
- – Supporting power redundancy (see clause 7.1.2)
- – Cooling component redundancy(see clause 7.1.3)
|
+
+## Bibliography
+
+| | |
+|-----------------|-------------------------------------------------------------------------------|
+| [b-DMTF RFAPI] | Redfish Scalable Platforms Management API Specification. |
+| [b-DMTF RFHI] | Redfish Host Interface Specification. |
+| [b-DMTF RFP] | Redfish Interoperability Profiles. |
+| [b-ETSI EVE007] | Hardware Interoperability Requirements Specification. |
+| [b-OCP 1S] | Twin Lakes 1S Server Design Specification V1.00. |
+| [b-OCP 25GDual] | 25G Dual Port OCP 2.0 NIC Mezzanine Card V1.0. |
+| [b-OCP 2S] | Facebook 2S Server Tioga Pass Specification V1.0. |
+| [b-OCP ACTI] | Add-on-Card Thermal Interface Spec for Intel Motherboard V3.0. |
+| [b-OCP AMBH] | Open Rack- AMD Motherboard Hardware V2.0. |
+| [b-OCP BS] | QCT Big Sur Product Architecture Following Big Sur Specification V1.0. |
+| [b-OCP Debug] | OCP debug card with LCD spec V1.0. |
+| [b-OCP DSBS] | Decathlete Server Board Standard V2.1. |
+| [b-OCP FSCI] | Facebook server Fan Speed Control Interface Draft V0.1. |
+| [b-OCP G1] | Barreleye G1 Specification. |
+| [b-OCP G2] | Barreleye G2 Specification. |
+| [b-OCP HSAS] | Hyve Solutions Ambient Series-E V1.2. |
+| [b-OCP HSCH] | Micro-Server Card Hardware V1.0. |
+| [b-OCP IMBH] | Open Rack- Intel Motherboard Hardware V2.0. |
+| [b-OCP JBOG] | Big Basin-JBOG Specification V1.0. |
+| [b-OCP M2] | Facebook, Microsoft, M.2 Carrier Card Design Specification V1.0. |
+| [b-OCP MB] | Facebook Server Intel Motherboard V3.1. |
+| [b-OCP MEZZ] | Mezzanine Card 2.0 Design Specification V1.0. |
+| [b-OCP MEZZMB] | Mezzanine Card for Intel v2.0 Motherboard. |
+| [b-OCP NIC] | OCP NIC 3.0 Design Specification V0.8. |
+| [b-OCP O1USM] | Project Olympus 1U Server Mechanical Specification. |
+| [b-OCP O2USM] | Project Olympus 2U Server Mechanical Specification. |
+| [b-OCP OAPM] | Project Olympus AMD EPYC Processor Motherboard Specification. |
+| [b-OCP OBIOS] | Project Olympus Intel Xeon Scalable Processor BIOS Specification. |
+| [b-OCP OCSB] | Open CloudServer OCS Blade Specification V2.1. |
+| [b-OCP OCSC] | Open CloudServer Chassis Specification V2.0. |
+| [b-OCP OCSCM] | Open CloudServer OCS Chassis Manager Specification V2.1. |
+| [b-OCP OCSJBOD] | Open CloudServer JBOD specification V1.0. |
+| [b-OCP OCSNIC] | Open CloudServer OCS NIC Mezzanine Specification V2.0. |
+| [b-OCP OCSPS] | Open CloudServer OCS Power Supply V2.0. |
+
+| | |
+|-----------------|---------------------------------------------------------------------------------------|
+| [b-OCP OCSPSAM] | Open CloudServer OCS Programmable Server Adapter Mezzanine Programmables V1.0. |
+| [b-OCP OCSSAS] | Open CloudServer SAS Mezzanine I/O specification V1.0. |
+| [b-OCP OCSSSD] | Open CloudServer OCS Solid State Drive V2.1. |
+| [b-OCP OCSTRAY] | Open CloudServer OCS Tray Mezzanine Specification V2.0. |
+| [b-OCP OCTAM] | Project Olympus Cavium ThunderX2 ARMx64 Motherboard Specification. |
+| [b-OCP OMB] | Project Olympus Intel Xeon Scalable Processor Motherboard Specification. |
+| [b-OCP OSR] | Project Olympus Server Rack Specification. |
+| [b-OCP PCIRC] | Facebook PCIe Retimer Card V1.1. |
+| [b-OCP PMSCH] | Panther+ Micro-Server Card Hardware V0.8. |
+| [b-OCP QGD] | QuantaGrid D51B-1U V1.1. |
+| [b-OCP SJ] | Inspur Server Project San Jose V1.01. |
+| [b-OCP TP] | Facebook Server Intel Motherboard V4.0 Project Tioga Pass V0.30. |
+| [b-OCP Yose] | Facebook Multi-Node Server Platform: Yosemite V2 Design Specification V1.0. |
+| [b-SNIA SF] | SNIA Swordfish Specification V1.0.6. |
+
+
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..0e0e62bfb02e10326a8de3661a67e3c72f0b3827
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@@ -0,0 +1,734 @@
+
+
+# ITU-T
+
+TELECOMMUNICATION
+STANDARDIZATION SECTOR
+OF ITU
+
+## Y.3508
+
+(08/2019)
+
+SERIES Y: GLOBAL INFORMATION
+INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS,
+NEXT-GENERATION NETWORKS, INTERNET OF
+THINGS AND SMART CITIES
+
+Cloud Computing
+
+# --- **Cloud computing – Overview and high-level requirements of distributed cloud**
+
+Recommendation ITU-T Y.3508
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+## GLOBAL INFORMATION INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS, NEXT-GENERATION NETWORKS, INTERNET OF THINGS AND SMART CITIES
+
+## GLOBAL INFORMATION INFRASTRUCTURE
+
+| | |
+|-------------------------------------------|-------------|
+| General | Y.100–Y.199 |
+| Services, applications and middleware | Y.200–Y.299 |
+| Network aspects | Y.300–Y.399 |
+| Interfaces and protocols | Y.400–Y.499 |
+| Numbering, addressing and naming | Y.500–Y.599 |
+| Operation, administration and maintenance | Y.600–Y.699 |
+| Security | Y.700–Y.799 |
+| Performances | Y.800–Y.899 |
+
+## INTERNET PROTOCOL ASPECTS
+
+| | |
+|--------------------------------------------------------------------|---------------|
+| General | Y.1000–Y.1099 |
+| Services and applications | Y.1100–Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200–Y.1299 |
+| Transport | Y.1300–Y.1399 |
+| Interworking | Y.1400–Y.1499 |
+| Quality of service and network performance | Y.1500–Y.1599 |
+| Signalling | Y.1600–Y.1699 |
+| Operation, administration and maintenance | Y.1700–Y.1799 |
+| Charging | Y.1800–Y.1899 |
+| IPTV over NGN | Y.1900–Y.1999 |
+
+## NEXT GENERATION NETWORKS
+
+| | |
+|-------------------------------------------------------------------|---------------|
+| Frameworks and functional architecture models | Y.2000–Y.2099 |
+| Quality of Service and performance | Y.2100–Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200–Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250–Y.2299 |
+| Enhancements to NGN | Y.2300–Y.2399 |
+| Network management | Y.2400–Y.2499 |
+| Network control architectures and protocols | Y.2500–Y.2599 |
+| Packet-based Networks | Y.2600–Y.2699 |
+| Security | Y.2700–Y.2799 |
+| Generalized mobility | Y.2800–Y.2899 |
+| Carrier grade open environment | Y.2900–Y.2999 |
+
+## FUTURE NETWORKS
+
+| | |
+|------------------------|----------------------|
+| CLOUD COMPUTING | Y.3500–Y.3999 |
+|------------------------|----------------------|
+
+## INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES
+
+| | |
+|---------------------------------------------------------|---------------|
+| General | Y.4000–Y.4049 |
+| Definitions and terminologies | Y.4050–Y.4099 |
+| Requirements and use cases | Y.4100–Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250–Y.4399 |
+| Frameworks, architectures and protocols | Y.4400–Y.4549 |
+| Services, applications, computation and data processing | Y.4550–Y.4699 |
+| Management, control and performance | Y.4700–Y.4799 |
+| Identification and security | Y.4800–Y.4899 |
+| Evaluation and assessment | Y.4900–Y.4999 |
+
+*For further details, please refer to the list of ITU-T Recommendations.*
+
+## Recommendation ITU-T Y.3508
+
+# Cloud computing – Overview and high-level requirements of distributed cloud
+
+## Summary
+
+Recommendation ITU-T Y.3508 provides an overview and high-level requirements for distributed cloud. This Recommendation introduces the concept of the distributed cloud and identifies the characteristics of distributed cloud. Based on concept and characteristics, configuration models are illustrated. Deployment considerations of distributed cloud are provided in perspective of infrastructure, network, service, management and security. From use cases, high-level requirements of the distributed cloud are derived.
+
+## History
+
+| Edition | Recommendation | Approval | Study Group | Unique ID* |
+|---------|----------------|------------|-------------|---------------------------------------------------------------------------|
+| 1.0 | ITU-T Y.3508 | 2019-08-13 | 13 | 11.1002/1000/13988 |
+
+## Keywords
+
+Cloud computing, distributed cloud, high-level requirement.
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID. For example, .
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the TSB patent database at .
+
+© ITU 2019
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | Page |
+|--------------------------------------------------------------------------------|------|
+| 1 Scope..... | 1 |
+| 2 References ..... | 1 |
+| 3 Definitions ..... | 1 |
+| 3.1 Terms defined elsewhere..... | 1 |
+| 3.2 Terms defined in this Recommendation..... | 2 |
+| 4 Abbreviations and acronyms ..... | 2 |
+| 5 Conventions ..... | 3 |
+| 6 Overview of distributed cloud ..... | 3 |
+| 6.1 Concept of distributed cloud ..... | 3 |
+| 6.2 Characteristics of distributed cloud ..... | 5 |
+| 6.3 Configuration models of distributed cloud..... | 6 |
+| 6.4 Deployment considerations of distributed cloud..... | 7 |
+| 7 High-level requirements for distributed cloud..... | 8 |
+| 7.1 Infrastructure requirements for distributed cloud..... | 8 |
+| 7.2 Network requirements for distributed cloud..... | 9 |
+| 7.3 Service requirements for distributed cloud..... | 10 |
+| 7.4 Management requirements for distributed cloud..... | 10 |
+| 7.5 Security requirements for distributed cloud ..... | 11 |
+| 8 Security considerations related to ITU-T Recommendations..... | 11 |
+| Appendix I – General use cases for distributed cloud ..... | 12 |
+| I.1 Use case template ..... | 12 |
+| I.2 General use case ..... | 13 |
+| Appendix II – Use cases for configuration of distributed cloud..... | 14 |
+| II.1 Autonomous cloud service provisioning on distributed cloud ..... | 14 |
+| II.2 Customer-oriented cloud service provisioning on distributed cloud..... | 15 |
+| II.3 Distributed cloud infrastructure and service management ..... | 18 |
+| II.4 Distributed cloud infrastructure and service provisioning ..... | 19 |
+| II.5 Hierarchical caching of cloud service images ..... | 20 |
+| II.6 High mobility support on distributed cloud..... | 22 |
+| Appendix III – A comparison of distributed cloud with related technology ..... | 23 |
+| Bibliography..... | 24 |
+
+
+
+# Recommendation ITU-T Y.3508
+
+# Cloud computing – Overview and high-level requirements of distributed cloud
+
+# 1 Scope
+
+This Recommendation provides an overview and high-level requirements of the distributed cloud. It addresses the following subjects:
+
+- definition of distributed cloud;
+- concept of distributed cloud;
+- characteristics of distributed cloud;
+- configuration models of distributed cloud;
+- deployment considerations of distributed cloud; and
+- high-level requirements of distributed cloud.
+
+Use cases of distributed cloud are provided in Appendices I and II. Also, a comparison between distributed cloud and other technologies is described in Appendix III.
+
+# 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+- [ITU-T Y.3500] Recommendation ITU-T Y.3500 (2014), *Information technology – Cloud computing – Overview and vocabulary*.
+- [ITU-T Y.3502] Recommendation ITU-T Y.3502 (2014), *Information technology – Cloud computing – Reference architecture*.
+- [ITU-T Y.3511] Recommendation ITU-T Y.3511 (2014), *Framework of inter-cloud computing*.
+
+# 3 Definitions
+
+### 3.1 Terms defined elsewhere
+
+This Recommendation uses the following terms defined elsewhere:
+
+**3.1.1 cloud capabilities type** [ITU-T Y.3500]: Classification of the functionality provided by a cloud service to the cloud service customer, based on resources used.
+
+NOTE – The cloud capabilities types are application capabilities type, infrastructure capabilities type and platform capabilities type.
+
+**3.1.2 cloud computing** [ITU-T Y.3500]: Paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on-demand.
+
+NOTE – Examples of resources include servers, operating systems, networks, software, applications and storage equipment.
+
+**3.1.3 cloud service** [ITU-T Y.3500]: One or more capabilities offered via cloud computing invoked using a defined interface.
+
+**3.1.4 cloud service customer** [ITU-T Y.3500]: Party which is in a business relationship for the purpose of using cloud services.
+
+NOTE – A business relationship does not necessarily imply financial agreements.
+
+**3.1.5 cloud service provider** [ITU-T Y.3500]: Party which makes cloud services available.
+
+### **3.2 Terms defined in this Recommendation**
+
+This Recommendation defines the following terms:
+
+**3.2.1 cloud service image**: An executable code with state information of virtual machine or container.
+
+NOTE 1 – State information includes execution states, disk states and memory states of system, such as program counter, registry, disk volume number, disk volume size, memory stack and information of allocated memory.
+
+NOTE 2 – Cloud service image includes operating system, libraries, data files, applications, etc.
+
+**3.2.2 core cloud**: A cloud computing, which manages resource pools including resources in the edge of the network and enables cloud service.
+
+NOTE – Enabled cloud service on the core cloud is provided by a cloud service provider (CSP).
+
+**3.2.3 distributed cloud**: Distribution of cloud capabilities types to the edge of the network for enabling cloud services with low latency and real time processing on limited bandwidth by interworking among pools of physical or virtual resources.
+
+**3.2.3 edge cloud**: A cloud computing deployed to the edge of the network accessed by cloud service customers (CSCs) with small capacity resources enabling cloud service.
+
+NOTE 1 – Enabled cloud service on the edge cloud is lightweight cloud service provided by a cloud service provider (CSP) depending on cloud service category.
+
+NOTE 2 – Lightweight cloud service refers to a portion of cloud service to reconfigure the functionality of cloud service to fit on edge cloud such as base station and gateway with small capacity resource.
+
+**3.2.5 regional cloud**: A cloud computing hosted from core cloud to particular geographical regions.
+
+NOTE – Enabled cloud service on the regional cloud is entire or partial cloud service of core cloud provided by a cloud service provider (CSP).
+
+# **4 Abbreviations and acronyms**
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|-----|-----------------------------|
+| AR | Augmented Reality |
+| CC | Core Cloud |
+| CSC | Cloud Service Customer |
+| CSP | Cloud Service Provider |
+| EC | Edge Cloud |
+| IoT | Internet of Things |
+| MEC | Multi-access Edge Computing |
+| ML | Machine Learning |
+| QoS | Quality of Service |
+| RC | Regional Cloud |
+| SLA | Service Level Agreement |
+| VR | Virtual Reality |
+
+# 5 Conventions
+
+In this Recommendation:
+
+The keywords "**is required to**" indicate a requirement which must be strictly followed and from which no deviation is permitted if conformance to this document is to be claimed.
+
+The keywords "**is recommended**" indicate a requirement which is recommended but which is not absolutely required. Thus, this requirement need not be present to claim conformance.
+
+# 6 Overview of distributed cloud
+
+### 6.1 Concept of distributed cloud
+
+Cloud computing is a paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on-demand [ITU-T Y.3500]. Services in Internet of things (IoT), augmented reality (AR)/virtual reality (VR), artificial intelligence (AI) and 5G application domains requiring cloud infrastructure are gradually increasing and real-time services in the above domains are also demanding especially for safety and surveillance applications.
+
+Cloud computing has challenges to support the real-time services due to (i) the network latency between cloud service provider (CSP) and cloud service customer (CSC), and (ii) the load congestion on the data centre. For these challenges, what is needed is the delivery of cloud services to nearby CSCs in order to meet real-time service delivery. Also, the distribution of cloud capabilities types to the edge of the network accessed by CSCs are needed for load congestion.
+
+This Recommendation introduces the distributed cloud, which is distribution of cloud capabilities types to the edge of the network for enabling cloud service with low latency and real-time processing on limited bandwidth by interworking among a pool of physical or virtual resources.
+
+Figure 6-1 shows a concept of distributed cloud. The distributed cloud includes core, regional and edge clouds, which meet the cloud capabilities types described in [ITU-T Y.3500]. Cloud services are deployed to the core, regional and edge clouds, interwork with one another, and provide a single system view to the CSCs for location transparency. Thus, the distributed cloud provides low latency and fast response to access cloud services by CSCs to satisfy their need for real-time services in various areas.
+
+Global management manipulates both distributed cloud resources and cloud service distribution appropriately for CSC's demands. The distributed cloud resource is the aggregated infrastructure from core, regional and edge clouds, such as physical or virtual resources of compute, storage and network.
+
+
+
+Y.3508(19)\_F6-1
+
+Figure 6-1: Concept of distributed cloud. The diagram illustrates the architecture of a distributed cloud system. It is divided into two main sections: CSP (Cloud Service Provider) and CSC (Cloud Service Customer). The CSP section is further divided into three parts: Primary data centre, Regional data centre, and The edge of the network. The Primary data centre contains a Core cloud and Global management. The Regional data centre contains a Regional cloud. The edge of the network contains an Edge cloud. Each of these three parts has a box below it labeled 'Computing', 'Network', and 'Storage'. A horizontal bar at the bottom of the CSP section is labeled 'Resource capacity:' and has a greater-than-or-equal-to symbol (>=) under the Primary data centre and a greater-than symbol (>) under the edge of the network. The CSC section contains three 'End device' boxes. Dashed arrows point from each 'End device' box to the Edge cloud. Solid double-headed arrows connect the Core cloud to the Regional cloud, and the Regional cloud to the Edge cloud. A legend at the bottom indicates that solid double-headed arrows represent 'Distributing and interworking' and dashed arrows represent 'Use cloud service'. The identifier 'Y.3508(19)\_F6-1' is located at the bottom right of the diagram.
+
+Figure 6-1 – Concept of distributed cloud
+
+- **Core cloud (CC):** The CC has large resource capacity and global management point to control cloud resources in the distributed cloud. The core cloud supports cloud services with high computing intensive and geographic independence;
+- **Regional cloud (RC):** The RC is optionally deployed in particular regions from the core cloud for load sharing and service quality enhancement. The regional cloud handles cloud service requests from the region controlled by global management of the core cloud;
+ NOTE 1 – The regional cloud supports lower latency than the core cloud by executing customized cloud services for CSCs in a particular region. It is assumed that the network latency from the CSC to the regional cloud is lower than from the CSC to the core cloud and that the difference of cloud service execution time between the core and regional cloud is negligible.
+ NOTE 2 – The regional cloud performs buffering load of cloud service and caching data from the core cloud and provides them to CSCs in the region.
+- **Edge cloud:** The edge cloud is deployed at the edge of the network accessed by CSCs and has a small resource capacity. The edge cloud requires specialized hardware resources on purpose; i.e., the resources in the edge cloud are constrained due to limitations of space or power. The edge cloud may have different configurations of resources and cloud capabilities types with physical and virtual resources depending on a CSC's requirements of cloud services and conditions in the deployment environment.
+
+Figure 6-2 shows an example of providing real-time service on distributed cloud for the case of a machine learning (ML) service. The example has four phases.
+
+- **Phase 1 – collecting:** End device 1 transfers sensor data to an endpoint of ML training service in the core cloud to train the data;
+- **Phase 2 – training:** ML training service trains the data and gets a trained rule at the core cloud;
+- **Phase 3 – caching:** The trained rule is cached from core cloud to regional cloud; the trained rule is then cached to edge clouds 1 and 2;
+- **Phase 4 – forecasting:** End devices 1 and 2 transfer sensor data to edge clouds 1 and 2, and then edge clouds 1 and 2 perform ML forecasting in real-time processing. The forecasting result is quickly delivered to end devices 1 and 2.
+
+If the ML forecasting service is also processed at the core cloud without the edge cloud, then the end device of the CSC will receive the forecasting results from the core cloud with high latency. The example in Figure 6-2 highlights how the distributed cloud provides benefit to the cloud service in the edge cloud by providing low latency and real-time processing.
+
+
+
+ML: Machine learning
+
+Y.3508(19)\_F6-2
+
+Figure 6-2: Example of providing real-time service on distributed cloud for the case of a machine learning service. The diagram is divided into three main sections: CSP (Cloud Service Provider), CSC (Cloud Service Consumer), and The edge of the network. CSP is further divided into Primary data centre, Regional data centre, and The edge of the network. In the Primary data centre, a Core cloud contains Global data and a Trained rule, with an ML training service performing batch processing (Phase 2 - training). In the Regional data centre, a Regional cloud contains a Regional trained rule (Phase 3 - caching). In The edge of the network, two Edge clouds (Edge cloud 1 and Edge cloud 2) receive sensor data from End devices 1 and 2 respectively (Phase 1 - collecting). These edge clouds use the trained rules to perform real-time processing via an ML forecasting service (Phase 4 - forecasting) to produce forecasting results. Arrows show the flow of sensor data from end devices to edge clouds, and the flow of trained rules from the core and regional clouds to the edge clouds.
+
+**Figure 6-2 – Example of providing real-time service on distributed cloud for the case of a machine learning service**
+
+NOTE 3 – In this example, it is assumed that the network latency from the end devices to the edge cloud is much lower than from the end devices to the core cloud, and that the execution time of the ML forecasting service is faster than the ML training service.
+
+### 6.2 Characteristics of distributed cloud
+
+The characteristics of cloud computing [ITU-T Y.3500] are inherited to distributed cloud as:
+
+- broad network access;
+- measured service;
+- multi-tenancy;
+- on-demand self-service;
+- rapid elasticity and scalability;
+- resource pooling.
+
+The distributed cloud also has the following additional characteristics:
+
+- **distributed cloud resource:** The resources of distributed cloud are geographically distributed at various types of data centres, base stations and IoT gateways. The distributed cloud resources are pooled on demand to meet CSC requirements by using different physical and virtual resources dynamically;
+- **heterogeneous infrastructure:** The distributed cloud has different scale infrastructures with large resource capacity in core/regional cloud and small resource capacity in edge cloud. The distributed cloud needs to utilize heterogeneous infrastructure as a single system to provide various services to CSCs;
+- **context awareness network:** The distributed cloud has on-demand network control according to context information for CSCs. Through context awareness network, mirrored cloud service to edge cloud is provided directly to CSCs;
+
+NOTE – Context information includes cloud service context information and network service context information. Examples of cloud service context information are capacity of cloud, resource usage, service ID/name, service location, status of neighbour. Examples of network service context information are latency, bandwidth, quality of service (QoS), routing path.
+
+- **agile service:** Cloud services can be deployed to the distributed cloud resource quickly and can be easily developed. The developed cloud services can be rapidly and dynamically provided on-demand across various types of distributed cloud resources;
+- **autonomous management:** The distributed cloud has global management in core cloud for the management of distributed cloud resources and cloud service with autonomous resource management for edge cloud. Edge cloud can manage its own resources and services when the global management system of distributed cloud is not applicable.
+
+### 6.3 Configuration models of distributed cloud
+
+The cloud computing needs to be distributed to nearby CSCs to support characteristics of distributed cloud. Depending on a CSC's requirements and characteristics of distributed cloud, cloud services are deployed to one or more cloud among edge, regional and core clouds with network functions. For each cloud service with the CSC's requirements, network resources are allocated by network slicing which allows multiple logical networks to run on top of a shared physical network infrastructure.
+
+
+
+Y.3508(19)\_F6-3
+
+Figure 6-3: Edge, regional, core cloud configuration in distributed cloud. The diagram illustrates four models of distributed cloud configuration: Cloud computing (CSP A), Distributed cloud - model 1 (CSP B), Distributed cloud - model 2 (CSP C), and Distributed cloud - model 3 (CSP D). A vertical axis on the left indicates the 'Vertical distribution of distributed cloud' from 'End device' at the bottom to 'Core cloud' at the top. A horizontal axis at the top indicates the 'Horizontal distribution of distributed cloud'. CSP A shows a single Core cloud connected to an End device. CSP B shows a Core cloud connected to a Regional cloud, which is connected to an End device. CSP C shows a Core cloud connected to an Edge cloud, which is connected to an End device. CSP D shows a Core cloud connected to two Regional clouds, which are connected to three Edge clouds, which are connected to an End device. Dashed arrows indicate 'Use cloud service' and solid arrows indicate 'Distributing and interworking'.
+
+**Figure 6-3 – Edge, regional, core cloud configuration in distributed cloud**
+
+Table 6-1 describes the generic model of distributed cloud by composing two or more clouds among core, regional and edge cloud. The end device in the figure represents CSCs' devices such as mobile phones, personal computers (PCs), laptops, etc.
+
+**Table 6-1 – Distributed cloud configuration model**
+
+| Model | Description |
+|---------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Model 0 | Image: Diagram of Model 0: A dashed box labeled 'CSC' contains an 'End device' circle. A dashed box labeled 'CSP' contains a 'Core cloud' circle. A solid line connects the 'End device' and 'Core cloud'.
Model 0 is a shape of cloud computing.
|
+
+**Table 6-1 – Distributed cloud configuration model**
+
+| Model | Description |
+|---------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Model 1
(Regional – Core)
|
Model 1 is a shape of a distributed cloud in which the core cloud and the regional cloud are configured together. Cloud services are provided from one or more clouds among the regional cloud and the core cloud.
The regional cloud is hosted for a cloud service from the core cloud to a particular region to support localization of cloud services. The regional cloud assists the core cloud by mitigating traffic of cloud service.
|
+| Model 2
(Edge – Core)
|
Model 2 is a shape of a distributed cloud in which the edge cloud and the core cloud are configured together. A cloud service is functionally reconfigured and is executed on both edge and core clouds by interworking.
The edge cloud is configured for real-time service delivery. The edge cloud assists end devices by offloading cloud services or caching the data of cloud services.
|
+| Model 3
(Edge – Regional – Core)
|
Model 3 is a shape of a distributed cloud in which edge, regional and core clouds are configured together. A cloud service is reconfigured and deployed to edge, regional and core clouds and is executed by interworking.
This model is a combination of model 1 and model 2. This model provides cloud services efficiently by mitigating the traffic of the cloud service, caching data of the cloud service and by offloading cloud services for the CSC's end devices.
|
+
+### 6.4 Deployment considerations of distributed cloud
+
+This clause provides consideration aspects for the deployment of cloud services on a distributed cloud. These consideration aspects include:
+
+- infrastructure considerations of distributed cloud;
+- network considerations of distributed cloud;
+- service considerations of distributed cloud;
+- management considerations of distributed cloud; and
+- security considerations of distributed cloud.
+
+#### 6.4.1 Infrastructure considerations of distributed cloud
+
+Infrastructure in a distributed cloud is heterogeneous and geographically distributed. Thus, consideration aspects are as follows:
+
+- variety of physical resources, which have different hardware structure and instruction, for pooling the resources and deploying cloud services execution efficiently;
+- energy efficient resources and power consumption control for edge cloud with small resource capacity; and
+- infrastructure automatic provision, configuration and updating, as well as monitoring functionalities for providing a single system view to CSCs.
+
+#### **6.4.2 Network considerations of distributed cloud**
+
+The network in a distributed cloud supports connecting distributed cloud resources in broad areas among core, regional and edge clouds and is aware of cloud service. Thus, network considerations are as follows:
+
+- broad network connectivity of distributed cloud resources among edge, regional and core clouds for managing resources and providing cloud service efficiently; and
+- deployment of virtual network functions to edge cloud for controlling network on-demand and being aware context of cloud service.
+
+#### **6.4.3 Service considerations of distributed cloud**
+
+Services in a distributed cloud have various types based on the resource capacity of core, regional and edge clouds and on the CSC's demands. Thus, service considerations are as follows:
+
+- the scale of a cloud service for deploying cloud services in different-scale edge, regional and core clouds; and
+- automatic cloud service delivery for supporting the mobility of CSC's rapidly.
+
+#### **6.4.4 Management considerations of distributed cloud**
+
+Management in a distributed cloud has a global view and a local view of operations, and administration for distributed cloud resources and services. Thus, management considerations are as follows:
+
+- global management of both distributed cloud resources and cloud services for interworking among core, regional and edge clouds; and
+- provisioning, operation and administration of distributed cloud resources and cloud services.
+
+#### **6.4.5 Security considerations of distributed cloud**
+
+Security in a distributed cloud has adaptive security control for core, regional and edge clouds. Thus, security considerations are as follows:
+
+- identification and authentication of CSCs using multiple distributed cloud infrastructures at any distributed cloud;
+- different scales of security functions, such as availability and data integrity, based on the resource capacity of core, regional and edge clouds; and
+- different security suites for confidentiality, policy and key management appropriate to heterogeneous distributed cloud resources.
+
+# **7 High-level requirements for distributed cloud**
+
+### **7.1 Infrastructure requirements for distributed cloud**
+
+- **high scalability:** It is required that a distributed cloud provide distributed cloud resources with scale-out to edge, regional and core clouds to satisfy a large number of demands for cloud services;
+
+- **high reliability:** It is required that a distributed cloud provide redundant deployment of cloud services among edge, regional and core clouds against catastrophic events;
+- **low power consumption:** It is required that a distributed cloud provide energy-efficient distributed cloud resources for low power consumption at an edge cloud in order to save power of the edge cloud;
+- **adaptive resource composition:** It is recommended that a distributed cloud provide adaptive resource composition of the distributed cloud among edge, regional and core clouds;
+NOTE 1 – Adaptive resource composition refers to preparation of distributed cloud resources appropriately to support changes of a CSC's condition, such as environmental changes by the CSC's mobility.
+- **automatic infrastructure provision:** It is recommended that a distributed cloud provide automatic setup of infrastructure, including hardware initiation, network configuration and software installation;
+- **heterogeneous devices access:** It is recommended that a distributed cloud provide heterogeneous access mechanisms for end devices to enrich cloud services.
+NOTE 2 – Examples of heterogeneous access mechanisms are Wi-Fi, Bluetooth, wireless sensor network (WSN) and radio access network (RAN).
+
+### 7.2 Network requirements for distributed cloud
+
+- **low latency:** It is required that a distributed cloud provide network resources to support low latency for cloud services in edge clouds;
+NOTE 1 – Examples of network resources are access point, switch, router and gateway.
+- **on-demand network traffic control:** It is required that a distributed cloud provide on-demand network traffic control to mitigate congested network links among core, regional and edge clouds by reallocating routing paths and allocating bandwidth;
+NOTE 2 – The network bandwidth utilization inside a distributed cloud is substantially reduced with on-demand network traffic control.
+- **service routing:** It is required that a distributed cloud support service routing for provisioning cloud service flowing to CSCs;
+NOTE 3 – Service routing is a unified service supporting platforms built on the distributed service networking (DSN). It supplies the service registration, publication, discovery, triggering and access mechanisms, and enhanced capabilities to optimize the service. [b-ITU-T Y.2085]
+- **context awareness:** It is required that a distributed cloud provide discovery of context information for deploying and delivering cloud service requests to the best location among core, regional and edge clouds;
+NOTE 4 – Discovery of context information is enabled by network functions.
+- **high-speed network connectivity:** It is recommended that a distributed cloud provide high-speed network connectivity to satisfy significantly higher data rates and data transportation among core, regional and edge clouds;
+- **reliable network connectivity:** It is recommended that a distributed cloud provide reliable network connectivity for seamless network links with low error rates and fast connection recovery from failures among core, regional and edge clouds;
+- **network virtualization:** It is recommended that a distributed cloud support network virtualization for dynamic network deployment;
+NOTE 5 – Network virtualization is a technology that enables the creation of logically isolated network partitions over shared physical networks so that heterogeneous collections of multiple virtual networks can simultaneously coexist over the shared networks. This includes the aggregation of multiple resources in a provider and appearing as a single resource. [b-ITU-T Y.3011]
+
+- **network services delivery:** It is recommended that a distributed cloud provide network services delivery wherever CSC's use cloud services.
+
+NOTE 6 – Network service delivery includes virtualized network functions of switching, tunnelling, traffic analysis, and security such as load balancer, firewall and intrusion detection.
+
+### 7.3 Service requirements for distributed cloud
+
+- **service mobility:** It is required that a distributed cloud provide service mobility for supporting service level agreements (SLAs);
+
+NOTE 1 – For service mobility, the CSCs' location detection and delivery of corresponding cloud services to the suitable distributed cloud resource automatically are needed for fast response time.
+
+- **lightweight service:** It is required that a distributed cloud provide lightweight cloud services for low power consumption resources at edge clouds;
+
+- **context information update:** It is required a distributed cloud support the updating of the associated context information periodically or aperiodically;
+
+NOTE 2 – See clause 6.2 for context information.
+
+- **caching of cloud service image:** It is required that a distributed cloud provide caching of cloud service images;
+
+NOTE 3 – Frequently used cloud service images need to be cached in a regional cloud to deploy cloud service quickly to an edge cloud.
+
+- **service migration:** It is required that a distributed cloud provide service migration from one distributed cloud resource to another one;
+
+NOTE 4 – Service migration refers to running cloud services reallocated to another distributed cloud resource by taking a snapshot.
+
+- **agile service:** It is recommended that a distributed cloud provide rapid development and delivery of cloud services to distributed cloud resources to support various CSC's requests;
+
+- **automatic service displacement:** It is recommended that a distributed cloud provide cloud service displacement to deploy, maintain and upgrade automatically based on SLAs;
+
+- **autonomous cloud service provisioning:** It is required a distributed cloud provide autonomous cloud service provisioning to initially launch the cloud service by using context information for fast provisioning of distributed cloud resources;
+
+NOTE 5 – Autonomous cloud service provisioning refers to deploying and providing cloud services on edge clouds without intervention of global management in the core cloud by using context information in edge or regional clouds.
+
+- **massive data handling on edge cloud:** It is recommended that a distributed cloud provide massive data handling on edge clouds to reduce the interaction between core/regional clouds and edge clouds.
+
+NOTE 6 – Data handling on edge clouds includes filtering and delivery process to prevent noise from multiple end devices, and batched data delivery to core or regional clouds, respectively.
+
+### 7.4 Management requirements for distributed cloud
+
+- **global management:** It is required that a distributed cloud provide global management of distributed cloud resources collected from core, regional and edge clouds;
+
+NOTE 1 – Core cloud aggregates information of distributed cloud resources, has global knowledge and provides cloud services appropriately to meet CSC's requirements.
+
+- **real-time service management:** It is required that a distributed cloud provide management for real-time cloud services by finding feasible distributed cloud resources, predicting cloud service latency and scheduling cloud services;
+
+- **heterogeneous resource management:** It is required that a distributed cloud provide management of heterogeneous distributed cloud resources to accommodate and utilize distributed cloud resources easily and efficiently;
+NOTE 2 – Examples of heterogeneous distributed cloud resources includes different capacity servers, different types (block, object, file) of storages and different speeds of network devices.
+- **end-device connectivity management:** It is required that a distributed cloud provide management of network connectivity to end devices supporting various access protocols to control network latency and bandwidth;
+- **context information management:** It is required that a distributed cloud provide management of context information to support service routing and context awareness of the distributed cloud;
+- **synchronization management:** It is required that a distributed cloud provide synchronization management for the status of cloud services and distributed cloud resources to perform global management accurately.
+
+### 7.5 Security requirements for distributed cloud
+
+- **resource isolation and protection:** It is recommended that a distributed cloud provide isolation and protection of distributed cloud resources and cloud services for tenants to guarantee security;
+- **adaptive security function control:** It is recommended that a distributed cloud provide adaptive security functions to meet a CSC's requirements with different resource capacity among core, regional and edge clouds;
+NOTE 1 – Examples of security function include encryption, decryption, key management, authentication and policy management.
+- **adaptive security suites control:** It is recommended that a distributed cloud provide adaptive security suites to apply the suites on different resource capacities among core, regional and edge clouds.
+NOTE 2 – Examples of security suites in case of encryption include data encryption standard (DES), advanced encryption standard (AES), international data encryption algorithm (IDEA) and Rivest, Shamir, Adleman (RSA).
+
+# 8 Security considerations related to ITU-T Recommendations
+
+It is recommended that the security framework for cloud computing described in [b-ITU-T X.1601] be considered for the distributed cloud. [b-ITU-T X.1601] analyses security threats and challenges in the cloud computing environment and describes security capabilities that could mitigate these threats and meet security challenges.
+
+It is recommended that the guidelines for the operational security of cloud computing described in [b-ITU-T X.1642] be considered for the distributed cloud. [b-ITU-T X.1642] clarifies the security responsibilities between CSPs and CSCs, and analyses the requirements and categories of security metrics of operational security for cloud computing.
+
+It is recommended that the security framework for the IoT based on the gateway model described in [b-ITU-T X.1361] be considered for edge clouds in the distributed cloud. In particular, [b-ITU-T X.1361] analyses security threats to the IoT gateway and to the network and describes security capabilities for gateways and the network that address and mitigate these security threats and challenges.
+
+# Appendix I
+
+## General use cases for distributed cloud
+
+(This appendix does not form an integral part of this Recommendation.)
+
+This appendix identifies use cases of distributed cloud. The table below shows the template used for the description of the use cases.
+
+### I.1 Use case template
+
+**Table I.1 – Template for the description of a use case**
+
+| Use case | |
+|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Name | Title of use case. |
+| Abstract | Overview and features of use case. |
+| Figure | Figure to present the use case.
(A unified modeling language (UML)-like diagram is suggested for clarifying relations between roles). |
+| Pre-conditions (optional) | Pre-conditions represent the necessary conditions or use cases that should be achieved before starting the described use case. (Note) |
+| Post-conditions (optional) | As the same for pre-condition, the post-condition describes conditions or use cases that will be carried out after the termination of a currently described use case. |
+| Requirements | The title of requirements derived from the use case. For example:
– Large-scale migration. |
+| NOTE – As dependency may exist among different use cases, pre-conditions and post-conditions are introduced to help understand the relationships among use cases. | |
+
+### I.2 General use case
+
+**Table I.2 – General use case of distributed cloud**
+
+| Use case | |
+|-----------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Name | General use case of distributed cloud. |
+| Description | The use case describes the scenarios for the CSC to use a published cloud service.
The cloud service has already been published by a CSP and can be browsed through the product catalogue provided by the CSP.
The CSC subscribes the cloud service with various requirements, for example, different requirements for service capacity and network latency.
The distributed cloud realizes service provisioning to provide cloud service on appropriate core, regional, or edge cloud, according to the CSC's subscription.
|
+| Figure | Image: Diagram of the General use case of distributed cloud. A CSC (Cloud Service Consumer) is shown at the top, connected via a red double-headed arrow to a 'Distributed cloud' block. The 'Distributed cloud' block is a green rectangle containing a grey box with five colored squares (yellow, red, cyan, magenta, green). Below this, a network of cloud types is shown: a central 'Core cloud' (blue cloud with four colored squares) connected to two 'Regional cloud' (blue clouds with two colored squares) and four 'Edge cloud' (blue clouds with two colored squares). Dashed lines connect the 'Distributed cloud' block to each of the 'Core cloud', 'Regional cloud', and 'Edge cloud' instances. A legend at the bottom right shows the colored squares and the text 'Various cloud services'. The reference 'Y.3508(19)_FI-Tab2' is at the bottom right.
Y.3508(19)_FI-Tab2
|
+| Pre-conditions (optional) | |
+| Post-conditions (optional) | - – The used service should be kept available during the whole invocation.
- – The SLA should be met for CSC.
|
+| Requirements | - – High scalability (See clause 7.1)
- – High reliability (See clause 7.1)
- – Low power consumption (See clause 7.1)
- – Low latency (See clause 7.2)
- – On-demand network traffic control (See clause 7.2)
|
+
+# Appendix II
+
+## Use cases for configuration of distributed cloud
+
+(This appendix does not form an integral part of this Recommendation.)
+
+This appendix identifies use cases for configuration of distributed cloud.
+
+### II.1 Autonomous cloud service provisioning on distributed cloud
+
+**Table II.1 – Autonomous cloud service provisioning on distributed cloud**
+
+| Use case | |
+|-----------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Name | Autonomous cloud service provisioning on distributed cloud. |
+| Abstract | This use case describes the autonomous feature for provisioning a cloud service on distributed cloud.
The distributed cloud supports dynamic service provisioning by utilizing core cloud (CC), regional cloud (RC) and edge cloud (EC). EC mainly supports low latency to provide a cloud service. For EC, it is sometimes hard to provide the cloud service due to various reasons (e.g., limited capacity of EC, initially requested service, energy saving). In the case where EC is not ready to provide the corresponding cloud service, EC is required to make a decision to provide the service to the CSC as rapidly as possible. For fast decisions required by time sensitive services in EC, a request to a centralized point (e.g., core cloud and regional cloud) is not appropriate due to network traversal time; the request should be handled in the EC itself. To support autonomous cloud service provisioning on EC, associated context information is required. Associated context information is necessary to be updated on EC periodically and aperiodically. To avoid synchronization burden, associated context information is summarized and updated (e.g., calculating average, grouping value, choosing representative value). To avoid frequent transfer data to the core/regional cloud by edge cloud, the edge cloud filters and deliver to prevent noise from multiple end devices and deliver batched data to core or regional cloud.
In conclusion, autonomous provisioning is a main feature that differentiates conventional cloud and distributed cloud. Through the feature, CC, RC and EC on distributed cloud are loosely coupled. The feature also supports fast cloud service provisioning on the distributed cloud. Autonomous provisioning is done by associated context information updated periodically and aperiodically.
NOTE – Examples of decision: 1) Deploying the cloud service and provide the cloud service on the EC, 2) Delivering the request to neighbour EC, 3) Delivering the request to the CC, etc.
|
+
+**Table II.1 – Autonomous cloud service provisioning on distributed cloud**
+
+| Use case | |
+|-----------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Figure | Image: Diagram of autonomous cloud service provisioning on distributed cloud. The diagram shows a flow starting with 'Update context (periodically or aperiodically)' leading to 'Context information'. This leads to 'Analyze context', then a decision diamond 'Make a decision'. From the decision, three options emerge: 'Option 1. deploy and provide service', 'Option 2. deliver to neighbor EC', and 'Option 3. deliver to CC'. These options lead to a network diagram showing 'Core cloud (CC)', 'Regional cloud (RC)', 'Edge cloud (EC)', and 'End device (ED (CSC))'. Arrows indicate service delivery paths: Option 1 from CC to CC, Option 2 from EC to EC, and Option 3 from EC to CC. A dashed box labeled 'No cloud service' is shown near the ED (CSC). A legend at the bottom left defines the abbreviations: CC: Core cloud, RC: Regional cloud, EC: Edge cloud, ED: End device. The diagram is labeled 'Y.3508(19)_FII-Tab1'.
CC: Core cloud
RC: Regional cloud
EC: Edge cloud
ED: End device
|
+| Pre-conditions (optional) | Associated context information is updated periodically or aperiodically. |
+| Post-conditions (optional) | |
+| Requirements | - – Adaptive resource composition (See clause 7.1)
- – Context information update (See clause 7.3)
- – Autonomous cloud service provisioning (See clause 7.3)
- – Massive data handling on edge cloud (See clause 7.3)
- – Context information management (See clause 7.4)
|
+
+### II.2 Customer-oriented cloud service provisioning on distributed cloud
+
+**Table II.2 – Customer-oriented cloud service provisioning on distributed cloud**
+
+| Use case | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Name | Customer-oriented cloud service provisioning on distributed cloud. |
+| Abstract | This use case describes customer-oriented service deployment on distributed cloud. A main benefit of distributed cloud is provisioning of a cloud service in close proximity to CSC. For the provisioning, methods to support customer-oriented cloud service provisioning on distributed cloud are needed and is called service routing. The service routing includes packet routing, service awareness, etc. By service awareness on distributed cloud, a cloud service is deployed on a cloud in close proximity to the CSC or the request of a cloud service is delivered to another cloud. Accordingly, the service routing on distributed cloud enables:
- – scaling or migrating a cloud service for supporting mobility as shown in figure <An example of scaling or migrating a cloud service for supporting mobility>;
|
+
+**Table II.2 – Customer-oriented cloud service provisioning on distributed cloud**
+
+| Use case | |
+|----------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | - – deploying and providing a cloud service for low response time as shown in figure <An example of deploying and providing a cloud service for low response time>; and
- – delivering request of a cloud service to neighbour edge cloud as shown in figure <An example of delivering a cloud service to neighbour edge cloud>.
Finally, customer-oriented service provisioning (i.e., service routing) method is highly required on distributed cloud in order to improve cloud service QoS (e.g., response time, network bandwidth, mobility).
NOTE – Provisioning of a cloud service in close proximity to cloud service customer depends on condition of CSC (e.g., location, QoS level) and condition of surrounding CSC (e.g., availability of edge cloud, capacity of edge cloud, network congestion).
|
+
+**Table II.2 – Customer-oriented cloud service provisioning on distributed cloud**
+
+
+
+| Figure | Use case |
+|--------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | Diagram 1: An example of scaling or migrating a cloud service for supporting mobility
This diagram shows a hierarchical cloud architecture across three layers. The top layer (Core cloud) contains a 'CC' node and a 'Cloud service' box. The middle layer (Regional cloud) contains an 'RC' node. The bottom layer (Edge cloud) contains two 'EC' nodes, each with a 'Cloud service' box, and an 'ED' (End device) node. Arrows indicate the flow: 'Use cloud service' from 'ED' to 'EC', and 'Move' between 'ED' nodes. A horizontal arrow connects the 'Cloud service' boxes of the two 'EC' nodes, representing migration or scaling. Ellipses (...) indicate additional components in each layer.
CC: Core cloud
RC: Regional cloud
EC: Edge cloud
ED: End device
Diagram 2: An example of deploying or providing a cloud service for low response time
This diagram shows a hierarchical cloud architecture across three layers. The top layer (Core cloud) contains a 'CC' node and a 'Cloud service' box. The middle layer (Regional cloud) contains an 'RC' node. The bottom layer (Edge cloud) contains an 'EC' node and an 'ED' (End device) node. An arrow labeled 'Use cloud service' points from 'ED' to 'EC'. A dashed box labeled 'No cloud service' is shown next to the 'EC' node, indicating that the service is not currently deployed at the edge. An arrow labeled 'Deploy and provide service' points from the 'Cloud service' box in the Core cloud layer down to the 'EC' node. Ellipses (...) indicate additional components in each layer.
CC: Core cloud
RC: Regional cloud
EC: Edge cloud
ED: End device
Diagram 3: An example of delivering a cloud service to neighbour edge cloud
This diagram shows a hierarchical cloud architecture across three layers. The top layer (Core cloud) contains a 'CC' node and a 'Cloud service' box. The middle layer (Regional cloud) contains two 'RC' nodes. The bottom layer (Edge cloud) contains three 'EC' nodes, each with a 'Cloud service' box, and an 'ED' (End device) node. An arrow labeled 'Use cloud service' points from 'ED' to the leftmost 'EC' node. A dashed box labeled 'No cloud service' is shown next to this 'EC' node. An arrow labeled 'Deliver to neighbor EC' points from the 'Cloud service' box of the leftmost 'EC' node to the 'Cloud service' box of the middle 'EC' node. A box labeled 'Aware the service' is connected to the leftmost 'EC' node. Ellipses (...) indicate additional components in each layer.
CC: Core cloud
RC: Regional cloud
EC: Edge cloud
ED: End device
Y.3508(19)_FII-Tab2
*An example of delivering a cloud service to neighbour edge cloud
|
+
+Three diagrams illustrating cloud service provisioning use cases: mobility, low response time, and service delivery to neighbor edge cloud.
+
+**Table II.2 – Customer-oriented cloud service provisioning on distributed cloud**
+
+| Use case | |
+|-----------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Pre-conditions (optional) | |
+| Post-conditions (optional) | |
+| Requirements | - – Adaptive resource composition (See clause 7.1)
- – Service routing (See clause 7.2)
- – Network services delivery (See clause 7.2)
- – Context awareness (See clause 7.2)
- – Context information management (See clause 7.4)
|
+
+### II.3 Distributed cloud infrastructure and service management
+
+**Table II.3 – Distributed cloud infrastructure and service management**
+
+| Use case | |
+|--------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Name | Distributed cloud infrastructure and service management |
+| Description | This use case describes the distributed cloud infrastructure and service management. Distributed cloud infrastructure includes processing, storage, networking and other hardware resources as well as software assets. Distributed cloud infrastructure management is the management of hardware resources and software assets of distributed cloud.
Distributed cloud includes core, regional and edge clouds, which are different in size, hardware types and software. For example, a distributed cloud resource may use a graphics processing unit (GPU) or field-programmable gate array (FPGA) hardware for AR/VR scenarios and microprocessor-based server instead of x86 server for some specified application. These resources are distributed across various environments. Thus, resources need to be isolated and protected in secure manner.
Distributed cloud provides flexible and agility network connectivity for core, regional and edge clouds. The network connection can be changed on demand or based on policy, such as active-standby policy.
The ultimate objective of distributed cloud is to provide distributed cloud services for the customers. The distributed cloud encapsulates the capabilities of distributed cloud infrastructure into various cloud services for the end customers.
Distributed cloud is a hierarchical system, in which each core cloud, regional cloud and edge cloud could manage its local infrastructure and service, and the infrastructure and service of the whole distributed cloud could be unified managed and coordinated by the distributed cloud management.
|
+
+**Table II.3 – Distributed cloud infrastructure and service management**
+
+| Use case | |
+|-----------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Figure | Image: Diagram of distributed cloud infrastructure and service management. It shows a hierarchical structure with a Global level (Global management and Distributed cloud) and a Local level (Core cloud, Regional cloud, and Edge cloud). A red dashed arrow indicates 'Application migration' between two edge clouds. A legend identifies the components: Management of local infrastructure and service (green), Global management (light green), and Various cloud services (yellow, red, purple, orange).
The diagram illustrates a distributed cloud architecture. At the top is the 'Global level' containing 'Global management' (light green bar) and 'Distributed cloud' (blue bar with colored squares). Below is the 'Local level' featuring a 'Core cloud' (blue cloud with colored squares) connected to two 'Regional cloud' (blue clouds with colored squares). Each regional cloud is connected to two 'Edge cloud' (blue clouds with colored squares). A red dashed arrow labeled 'Application migration' points from one edge cloud to another. A legend in the bottom right identifies the components: green for 'Management of local infrastructure and service', light green for 'Global management', and yellow, red, purple, and orange for 'Various cloud services'. The text 'Y.3508(19)_FII-Tab3' is in the bottom right corner.
|
+| Pre-conditions (optional) | |
+| Post-conditions (optional) | |
+| Requirements | - – Heterogeneous device access (See clause 7.1)
- – Global management (See clause 7.4)
- – Heterogeneous resource management (See clause 7.4)
- – End device connectivity management (See clause 7.4)
- – Resource isolation and protection (See clause 7.5)
|
+
+### II.4 Distributed cloud infrastructure and service provisioning
+
+**Table II.4 – Distributed cloud infrastructure and service provisioning**
+
+| Use case | |
+|--------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Name | Distributed cloud infrastructure and service provisioning. |
+| Description | This use case describes the distributed cloud infrastructure and service provisioning. Distributed cloud can provision infrastructure and deliver service among core, regional and edge cloud.
The distributed cloud infrastructure contains various hardware and software, including servers, storage, network devices and software. The edge cloud especially is resource-constrained due to space and power. The infrastructure provision process includes hardware initiation, network configuration and software installation. After provisioning, the services including security functions and suites can be provided based on the infrastructure. Also, if a cloud service needs to use an edge cloud resource, it is reconfigured or developed to run on the edge cloud with small capacity and heterogeneous resources.
The distributed cloud infrastructure can be maintained and upgraded by distributed cloud management. The provisioning is a policy-based process so it can be done automatically on distributed cloud resources.
Once the distributed cloud infrastructure has been provisioned, the cloud service should be deployed and delivered rapidly to the suitable distributed cloud resource by high-speed and reliable network connectivity based on service's SLA, such as required resources, maximum latency, required or useful services, etc. The deployed service can be maintained and upgraded based on global management. For accurate global management, status information of cloud service and distributed cloud resource are synchronized from edge/regional cloud to core cloud.
|
+
+**Table II.4 – Distributed cloud infrastructure and service provisioning**
+
+| Use case | |
+|-----------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Figure | Image: Diagram of distributed cloud infrastructure and service provisioning. It shows a hierarchical structure with Global management at the top, divided into Infrastructure provisioning and Service delivery. Below this are Regional clouds, each containing Edge clouds and a Core cloud. Red dashed arrows indicate the flow of infrastructure provisioning from the Core cloud to Edge clouds, and service delivery from the Core cloud to Edge clouds. A legend indicates that the colored blocks represent various cloud services.
The diagram illustrates a distributed cloud architecture. At the top, a 'Global management' block is split into 'Infrastructure provisioning' and 'Service delivery'. Below this, a 'Core cloud' is connected to multiple 'Regional clouds'. Each 'Regional cloud' contains several 'Edge clouds'. Red dashed arrows show 'Infrastructure provisioning' flowing from the Core cloud to the Edge clouds, and 'Service delivery' flowing from the Core cloud to the Edge clouds. A legend indicates that the colored blocks represent 'Various cloud services'. The text 'Y.3508(19)_FII-Tab4' is visible in the bottom right corner of the diagram area.
|
+| Pre-conditions (optional) | |
+| Post-conditions (optional) | |
+| Requirements | - – Automatic infrastructure provision (See clause 7.1)
- – High speed network connectivity (See clause 7.2)
- – Reliable network connectivity (See clause 7.2)
- – Network virtualization (See clause 7.2)
- – Network services delivery (See clause 7.2)
- – Agile service (See clause 7.3)
- – Lightweight service (See clause 7.3)
- – Automatic service displacement (See clause 7.3)
- – Synchronization management (See clause 7.4)
- – Adaptive security function control (See clause 7.5)
- – Adaptive security suites control (See clause 7.5)
|
+
+### II.5 Hierarchical caching of cloud service images
+
+**Table II.5 – Hierarchical caching of cloud service images**
+
+| Use case | |
+|-----------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Name | Hierarchical caching of cloud service images. |
+| Abstract | This use case shows an example of hierarchical caching of cloud service images. The core cloud mainly manages cloud service images; the size of a cloud service image varies from tens of megabytes to hundreds of gigabytes. A cloud service image is needed to run a cloud service. For example, when a cloud service is run on the edge cloud, the image is copied from the core cloud by request. Thus, depending on the number of requests, the core cloud can be overloaded. In addition, copying a cloud service image from the core cloud to the edge cloud is inefficient.
Also, the edge cloud has relatively lower storage capacity than the core cloud or the regional cloud. It is inefficient for the edge cloud to maintain all cloud service images.
|
+
+**Table II.5 – Hierarchical caching of cloud service images**
+
+| Use case | |
+|------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | Therefore, hierarchical caching is needed. Cloud service images are cached on the regional cloud according to the initial request or frequency. It is helpful to reduce the load on the core cloud because multiple regional clouds handle the requests respectively. It also mitigates the capacity issue on the edge cloud, and it provides fast service deployment to support real-time performance by reducing latency than from the core cloud.
|
+| Figure
| Image: Diagram illustrating hierarchical caching of cloud service images. At the top is the 'Storage for cloud service images' (Core Cloud, CC) containing images for Service A (10G), Service B (300M), Service C (100M), and Service D (1G). Below it are two 'Cache for cloud service images' (Regional Clouds, RC). The left RC contains Service A (10G) and Service B (300M). The right RC contains Service A (10G) and Service C (100M). At the bottom are three 'Edge Clouds' (EC). The left EC is linked to the left RC and provides 'Cloud service A (temporal use)'. The middle EC is linked to both RCs and provides 'Cloud service B'. The right EC is linked to the right RC and provides 'Cloud service A (long-term use)' and 'Cloud service C'. Arrows show the flow of images from CC to RCs and from RCs to ECs. A legend defines CC as Core cloud, RC as Regional cloud, and EC as Edge cloud. A small cloud icon represents 'An image of cloud service'. Three benefits are listed: Benefit 1: Load reduction on the core cloud; Benefit 2: Mitigation of low capacity issue on the edge cloud; Benefit 3: Fast service deployment on the edge cloud. The reference Y.3508(19)_FII-Tab5 is at the bottom right.
Storage for cloud service images
10G Service A, 300M Service B, 100M Service C, 1G Service D, ...
Cache for cloud service images
10G Service A, 300M Service B, ...
10G Service A, 100M Service C, ...
Deploying a cloud service
Cloud service A (temporal use), Cloud service B, Cloud service A (long-term use), Cloud service C
Benefit 1: Load reduction on the core cloud
Benefit 2: Mitigation of low capacity issue on the edge cloud
Benefit 3: Fast service deployment on the edge cloud
Y.3508(19)_FII-Tab5
|
+| Pre-conditions (optional)
| |
+| Post-conditions (optional)
| |
+| Requirements
| - – High speed network connectivity (See clause 7.2)
- – Caching of cloud service image (See clause 7.3)
- – Real-time service management (See clause 7.4)
|
+
+### II.6 High mobility support on distributed cloud
+
+**Table II.6 – High mobility support on distributed cloud**
+
+| Use case | |
+|-----------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Name | High mobility support on distributed cloud. |
+| Abstract | This use case illustrates an example of high mobility support on distributed cloud.
A typical mobility support environment follows a method of modifying the packet routing path while the location of the service is fixed. On the distributed cloud, the location of the service is different from the conventional cloud and is located near the user. Accordingly, the distributed cloud needs high mobility.
As an example, the below figure shows two ways of mobility while an end device moves with different type of access. One way is that the regional cloud routes the packet to the previous edge cloud as shown in step 3 in the figure below. (It is also possible to route the cloud service to the current edge cloud.) Another way is that the core cloud routes the cloud service to the edge cloud near the end device by scaling or migrating the cloud service with high-speed and reliable network connectivity as shown in step 5 and 6. The cloud service is from the previous edge cloud or the core cloud. Therefore, to efficiently support high mobility on the distributed cloud, both ways are selected based on service level agreement (SLA) for the cloud service. SLA includes latency, quality of service, etc.
|
+| Figure | Image: Diagram illustrating high mobility support on distributed cloud. The diagram shows three layers: Core Cloud (CC), Regional Cloud (RC), and Edge Cloud (EC). End Devices (ED) move between ECs. Step 1: ED uses cloud service from EC. Step 2: ED moves to a new EC. Step 3: ED uses cloud service from the new EC. Step 4: ED moves to a third EC. Step 5: CC scales/migrates the cloud service to the new EC. Step 6: ED uses cloud service from the new EC. A legend defines CC as Core cloud, RC as Regional cloud, EC as Edge cloud, and ED as End device. The diagram is labeled Y.3508(19)_FII-Tab6.
CC: Core cloud
RC: Regional cloud
EC: Edge cloud
ED: End device
Y.3508(19)_FII-Tab6
|
+| Pre-conditions (optional) | |
+| Post-conditions (optional) | |
+| Requirements | - – Heterogeneous device access (See clause 7.1)
- – High speed network connectivity (See clause 7.2)
- – Reliable network connectivity (See clause 7.2)
- – Context awareness (See clause 7.2)
- – Service mobility (See clause 7.3)
- – Service migration (See clause 7.3)
- – Context information management (See clause 7.4)
|
+
+# Appendix III
+
+## A comparison of distributed cloud with related technology
+
+(This appendix does not form an integral part of this Recommendation.)
+
+This Appendix identifies a comparison of the distributed cloud, edge computing, fog computing, multi-access edge computing and cloudlet. There are various technologies related to the edge of the network, such as edge computing, fog computing, cloudlet and multi-access edge computing. The edge-related technologies fully or partially utilize cloud computing technology. In the perspective of multi-cloud, distributed cloud extends a cloud to the edge of the network. Accordingly, the distributed cloud and the edge-related technologies definitely have a common point. Thus, it is necessary to compare key features and show the coverage of them among the distributed cloud and the edge related technologies. In this Appendix, the coverage of key features among the distributed cloud and the edge-related technologies are analysed and illustrated as follow:
+
+- **Cloud computing** focuses on non-real-time services and supports periodic maintenance and service decision – making while distributed cloud extends the cloud computing capabilities to the edge and supports real-time smart processing and execution of local services. Distributed cloud takes core, regional and edge as a whole and closely interacts with one another. Resource-constrained, unreliable or bandwidth-limited network connections, or applications that demand very high bandwidth, low latency, or widespread compute capacity across many sites are considered by distributed cloud but not involved with cloud computing.
+- **Edge computing** is performed on an open platform at the edge of the network near things or data sources, integrating network, computing, storage and application core capabilities and providing edge intelligent services. Edge computing meets the requirements of industrial digitalization for agile connections, real-time services, data optimization, smart application, security and privacy protection. Local devices and their capabilities are a part of edge computing while distributed cloud is not involved with local devices. The major scenario of edge computing focuses on IoT, but distributed cloud has many scenarios beside IoT. Big data analytics is considered as one of the key capabilities for edge computing while distributed cloud treats it as a service which it's carried on.
+- **Fog computing** is a horizontal, physical or virtual resource paradigm that resides between smart end-devices and traditional cloud or data centres. Fog computing supports vertically isolated, latency-sensitive applications by providing ubiquitous, scalable, layered federated and distributed computing, storage and network connectivity. Rather than a substitute, fog computing often serves as a complement to cloud computing. Fog computing is mainly for IoT scenarios while distributed cloud has many scenarios beside IoT. It is similar to edge computing where the local devices are involved for fog computing but the infrastructure of distributed cloud only includes data centres.
+- **Multi-access edge computing (MEC)** offers cloud-computing capabilities and an IT service environment at the edge of the network and provides ultra-low latency and high bandwidth as well as real-time access to radio network information that can be leveraged by applications. MEC is mainly for mobile scenarios and is extending to fixed mobile convergence scenarios. The scope of MEC is involved in distributed cloud.
+- **Cloudlet** can be viewed as a "data centre in a box", which represents the middle tier of a three-tier hierarchy "mobile or IoT device – cloudlet – cloud", whose goal is to bring the cloud closer. It is mainly for scenarios of convergence of mobile and cloud computing. The scope of cloudlet is involved in distributed cloud.
+
+## Bibliography
+
+- [b-ITU-T X.1361] Recommendation ITU-T X.1361 (2018), *Security framework for the Internet of things based on the gateway model.*
+- [b-ITU-T X.1601] Recommendation ITU-T X.1601 (2015), *Security framework for cloud computing.*
+- [b-ITU-T X.1642] Recommendation ITU-T X.1642 (2016), *Guidelines for the operational security of cloud computing.*
+- [b-ITU-T Y.2085] Recommendation ITU-T Y.2085 (2016), *Distributed service networking service routing.*
+- [b-ITU-T Y.3011] Recommendation ITU-T Y.3011 (2012), *Framework of network virtualization for future networks.*
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+I n t e r n a t i o n a l T e l e c o m m u n i c a t i o n U n i o n
+
+# ITU-T
+
+TELECOMMUNICATION
+STANDARDIZATION SECTOR
+OF ITU
+
+## Y.3522
+
+(09/2016)
+
+SERIES Y: GLOBAL INFORMATION
+INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS
+AND NEXT-GENERATION NETWORKS, INTERNET OF
+THINGS AND SMART CITIES
+
+Cloud Computing
+
+# --- **End-to-end cloud service lifecycle management requirements**
+
+Recommendation ITU-T Y.3522
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+## GLOBAL INFORMATION INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS AND NEXT-GENERATION NETWORKS, INTERNET OF THINGS AND SMART CITIES
+
+| | |
+|--------------------------------------------------------------------|----------------------|
+| GLOBAL INFORMATION INFRASTRUCTURE | |
+| General | Y.100–Y.199 |
+| Services, applications and middleware | Y.200–Y.299 |
+| Network aspects | Y.300–Y.399 |
+| Interfaces and protocols | Y.400–Y.499 |
+| Numbering, addressing and naming | Y.500–Y.599 |
+| Operation, administration and maintenance | Y.600–Y.699 |
+| Security | Y.700–Y.799 |
+| Performances | Y.800–Y.899 |
+| INTERNET PROTOCOL ASPECTS | |
+| General | Y.1000–Y.1099 |
+| Services and applications | Y.1100–Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200–Y.1299 |
+| Transport | Y.1300–Y.1399 |
+| Interworking | Y.1400–Y.1499 |
+| Quality of service and network performance | Y.1500–Y.1599 |
+| Signalling | Y.1600–Y.1699 |
+| Operation, administration and maintenance | Y.1700–Y.1799 |
+| Charging | Y.1800–Y.1899 |
+| IPTV over NGN | Y.1900–Y.1999 |
+| NEXT GENERATION NETWORKS | |
+| Frameworks and functional architecture models | Y.2000–Y.2099 |
+| Quality of Service and performance | Y.2100–Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200–Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250–Y.2299 |
+| Enhancements to NGN | Y.2300–Y.2399 |
+| Network management | Y.2400–Y.2499 |
+| Network control architectures and protocols | Y.2500–Y.2599 |
+| Packet-based Networks | Y.2600–Y.2699 |
+| Security | Y.2700–Y.2799 |
+| Generalized mobility | Y.2800–Y.2899 |
+| Carrier grade open environment | Y.2900–Y.2999 |
+| FUTURE NETWORKS | Y.3000–Y.3499 |
+| CLOUD COMPUTING | Y.3500–Y.3999 |
+| INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES | |
+| General | Y.4000–Y.4049 |
+| Definitions and terminologies | Y.4050–Y.4099 |
+| Requirements and use cases | Y.4100–Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250–Y.4399 |
+| Frameworks, architectures and protocols | Y.4400–Y.4549 |
+| Services, applications, computation and data processing | Y.4550–Y.4699 |
+| Management, control and performance | Y.4700–Y.4799 |
+| Identification and security | Y.4800–Y.4899 |
+| Evaluation and assessment | Y.4900–Y.4999 |
+
+*For further details, please refer to the list of ITU-T Recommendations.*
+
+## Recommendation ITU-T Y.3522
+
+# End-to-end cloud service lifecycle management requirements
+
+## Summary
+
+Recommendation ITU-T Y.3522 provides an overview of end-to-end (E2E) cloud service lifecycle management by specifying cloud service lifecycle metadata, the cloud service lifecycle management framework, cloud service lifecycle management stages and the relationship with cloud computing reference architecture. This Recommendation also provides E2E cloud service lifecycle management functional requirements derived from the corresponding typical use cases.
+
+## History
+
+| Edition | Recommendation | Approval | Study Group | Unique ID* |
+|---------|----------------|------------|-------------|---------------------------------------------------------------------------|
+| 1.0 | ITU-T Y.3522 | 2016-09-29 | 13 | 11.1002/1000/13020 |
+
+## Keywords
+
+Cloud service lifecycle management, end-to-end, functional requirements, metadata, model, stage.
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID. For example, .
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the TSB patent database at .
+
+© ITU 2016
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | | Page |
+|---|---------------------------------------------------------------------|------|
+| 1 | Scope..... | 1 |
+| 2 | References..... | 1 |
+| 3 | Definitions ..... | 1 |
+| | 3.1 Terms defined elsewhere..... | 1 |
+| | 3.2 Terms defined in this Recommendation..... | 2 |
+| 4 | Abbreviations and acronyms ..... | 2 |
+| 5 | Conventions ..... | 3 |
+| 6 | Overview of E2E cloud service lifecycle management..... | 3 |
+| | 6.1 Cloud service lifecycle metadata..... | 4 |
+| | 6.2 Cloud service lifecycle management framework ..... | 4 |
+| | 6.3 Cloud service lifecycle management stages ..... | 6 |
+| | 6.4 Relationship with cloud computing reference architecture..... | 7 |
+| 7 | E2E cloud service lifecycle management functional requirements..... | 8 |
+| | 7.1 Service management interface..... | 8 |
+| | 7.2 Self-service ..... | 8 |
+| | 7.3 Service maintenance..... | 8 |
+| | 7.4 Reporting ..... | 8 |
+| | 7.5 Composite applications or mash-ups..... | 8 |
+| | 7.6 Traditional business processes ..... | 9 |
+| | 7.7 Decommissioning..... | 9 |
+| | 7.8 Policy..... | 9 |
+| | 7.9 Lifecycle stage management ..... | 9 |
+| | 7.10 Service automation and continuous delivery..... | 9 |
+| | 7.11 Metadata management..... | 9 |
+| 8 | Security considerations..... | 9 |
+| | Appendix I – E2E cloud service lifecycle management use cases ..... | 10 |
+| | I.1 Service management interface..... | 10 |
+| | I.2 Self-service use case..... | 12 |
+| | I.3 Service maintenance use case..... | 12 |
+| | I.4 Composite applications or mash-ups use case..... | 12 |
+| | I.5 Traditional business processes use case ..... | 13 |
+| | I.6 Decommissioning use case..... | 13 |
+| | I.7 Policy use case..... | 14 |
+| | I.8 Lifecycle stage management use case ..... | 14 |
+| | I.9 Service automation and continuous delivery use case ..... | 15 |
+| | I.10 Metadata management use case..... | 15 |
+| | Bibliography..... | 16 |
+
+
+
+# Recommendation ITU-T Y.3522
+
+# End-to-end cloud service lifecycle management requirements
+
+# 1 Scope
+
+This Recommendation specifies the functional requirements of end-to-end (E2E) cloud service lifecycle management. This Recommendation comprises the following:
+
+- cloud service lifecycle metadata;
+- cloud service lifecycle management framework;
+- cloud service lifecycle management stages;
+- relationship with cloud computing reference architecture;
+- functional requirements and typical use cases of cloud service lifecycle management.
+
+# 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+- [ITU-T M.3030] Recommendation ITU-T M.3030 (2002), *Telecommunications Markup Language (tML) framework*.
+- [ITU-T X.1601] Recommendation ITU-T X.1601 (2015), *Security framework for cloud computing*.
+- [ITU-T Y.3500] Recommendation ITU-T Y.3500 (2014) | ISO/IEC 17788:2014, *Information technology – Cloud computing – Overview and vocabulary*.
+- [ITU-T Y.3502] Recommendation ITU-T Y.3502 (2014) | ISO/IEC 17789:2014, *Information technology – Cloud computing – Reference architecture*.
+- [ITU-T Y.3511] Recommendation ITU-T Y.3511 (2014), *Framework of inter-cloud computing*.
+- [ITU-T Y.3520] Recommendation ITU-T Y.3520 (2015), *Cloud computing framework for end to end resource management*.
+- [ITU-T Y.3521] Recommendation ITU-T Y.3521/M.3070 (2016), *Overview of end-to-end cloud computing management*.
+
+# 3 Definitions
+
+### 3.1 Terms defined elsewhere
+
+This Recommendation uses the following terms defined elsewhere:
+
+**3.1.1 cloud computing** [ITU-T Y.3500]: Paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on-demand.
+
+NOTE – Examples of resources include servers, operating systems, networks, software, applications and storage equipment.
+
+**3.1.2 cloud service** [ITU-T Y.3500]: One or more capabilities offered via cloud computing invoked using a defined interface.
+
+**3.1.3 cloud service customer** [ITU-T Y.3500]: Party which is in a business relationship for the purpose of using cloud services.
+
+NOTE – A business relationship does not necessarily imply financial agreements.
+
+**3.1.4 cloud service partner** [ITU-T Y.3500]: Party which is engaged in support of, or auxiliary to, activities of either the cloud service provider or the cloud service customer, or both.
+
+**3.1.5 cloud service provider** [ITU-T Y.3500]: Party which makes cloud services available.
+
+**3.1.6 inter-cloud computing** [ITU-T Y.3511]: The paradigm for enabling the interworking between two or more cloud service providers.
+
+NOTE – Inter-cloud computing is also referred as inter-cloud.
+
+**3.1.7 metadata** [ITU-T M.3030]: Data that describes other data.
+
+**3.1.8 role** [ITU-T Y.3502]: A set of activities that serves a common purpose.
+
+**3.1.9 product catalogue** [ITU-T Y.3502]: A listing of all the cloud service products which cloud service providers make available to cloud service customers.
+
+**3.1.10 service catalogue** [ITU-T Y.3502]: A listing of all the cloud services of a particular cloud service provider.
+
+**3.1.11 service management interface (SMI)** [ITU T Y.3521]: Interface that provides a set of management capabilities exposed by a cloud service through which the cloud service can be managed.
+
+NOTE – For additional details of SMI concepts, see [ITU T Y.3520] and [b-TMF TR198].
+
+### **3.2 Terms defined in this Recommendation**
+
+This Recommendation defines the following terms:
+
+**3.2.1 functional interface:** Interface that provides a set of functional capabilities exposed by a cloud service through which the cloud service can be consumed.
+
+# **4 Abbreviations and acronyms**
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|------|-----------------------------------|
+| CSC | Cloud Service Customer |
+| CSN | Cloud Service Partner |
+| CSP | Cloud Service Provider |
+| CSU | Cloud Service User |
+| CT | Communications Technology |
+| E2E | End-to-End |
+| FI | Functional Interface |
+| IT | Information Technology |
+| OSS | Operational Support Systems |
+| QoS | Quality of Service |
+| SMI | Service Management Interface |
+| WSDL | Web Services Description Language |
+
+# 5 Conventions
+
+The keywords "**is required to**" indicate a requirement which must be strictly followed and from which no deviation is permitted if conformance to this document is to be claimed.
+
+The keywords "**is recommended**" indicate a requirement which is recommended but which is not absolutely required. Thus this requirement need not be present to claim conformance.
+
+In the body of this Recommendation and its appendixes, the words shall, shall not, should, and may sometimes appear, in which case they are to be interpreted, respectively, as is required to, is prohibited from, is recommended, and can optionally. The appearance of such phrases or keywords in an appendix or in material explicitly marked as informative are to be interpreted as having no normative intent.
+
+# 6 Overview of E2E cloud service lifecycle management
+
+Nowadays, cloud computing technologies are widely used in both information technology (IT) and communications technology (CT) industries. Telecommunication operators use cloud-based technologies to deliver cloud services to their users as well as to leverage their telecommunication services and network. This allows for automation and acceleration provisioning of cloud services across cloud and non-cloud facilities. Therefore, effective cloud service lifecycle management becomes one of the most important challenges from telecommunication operators' perspectives.
+
+Cloud service lifecycle management integrates and optimizes processes such as service provisioning, service assurance, service fulfilment, service charging and service change management for particular workloads respecting relevant governance and policies.
+
+In both telecommunication and cloud computing environments, cloud service lifecycle management has to be considered in an E2E manner which means service lifecycle management chains across cloud and non-cloud facilities. In practice, cloud service lifecycle management could be achieved by using a service management interface (SMI) based common model for E2E cloud computing management supported by operational support systems (OSS), see [ITU-T Y.3521].
+
+The OSS encompass the set of operational related management capabilities, including service catalogue, provisioning, monitoring and reporting, service policy management, service automation, etc., in order to manage and control cloud services offered to cloud service customers (CSCs), see [ITU-T Y.3502]. OSS realize the required E2E cloud service lifecycle management functionalities by using service management interfaces (SMIs). These operational related management capabilities can help to achieve the service lifecycle management objective with the pre-defined distributed metadata in each stage.
+
+The consistent approach to service lifecycle management includes representative definitions for the particular stages which cloud services pass through. This is based on a lifecycle management metadata model, which can hold all the data about a service throughout its lifecycle.
+
+Cloud service lifecycle management consists of three parts:
+
+- 1) service dependencies management: represents resources that are prerequisites for the service to function;
+- 2) service lifecycle management stages: represents stages through which cloud service passes over lifecycle management;
+- 3) additional information about the service management interface: placeholder for additional information but otherwise undefined.
+
+The development of an E2E cloud service lifecycle management process is based on the following elements interacting with each other:
+
+- 1) service catalogue, see [ITU-T Y.3502], [ITU-T Y.3521];
+
+- 2) service inventory, see [ITU-T Y.3521];
+- 3) SMI, see [ITU-T Y.3521].
+
+### **6.1 Cloud service lifecycle metadata**
+
+The cloud service capabilities are exposed and consumed through the functional interfaces (FIs) of the service while the management or operations of the service are available through the SMI.
+
+The cloud service capabilities may participate/contribute in many different product offerings that are delivered to CSCs. They may also have different configuration constraints and policies due to constraints from distinct implementation technologies and CSCs' devices that the service is delivered through. These complicated re-design, re-configuration and re-deployment problems can be addressed through the cloud service lifecycle metadata, which represents all of the lifecycle aspects of the virtualized elements, as expressed in the form of logical objects within a defined model space.
+
+The alignment between elements in the defined model and the real world can be achieved by tools which can address service dependency and drive the required actions based on the metadata associated with the modelled elements. This approach allows a new service to be created with changes only in metadata and minimal modifications. Therefore, the lifecycle metadata can be regarded as the linkage between design time and execution time. From the point of view of cloud service developers (see [ITU-T Y.3502]), FIs and SMIs may only be described in common service languages such as web services description language (WSDL) or web service implementation environment. The aim of this is to define the SMI operations that all services can understand. Therefore, cloud service lifecycle metadata can be designed to capture the cloud service dependencies and service properties to support multi-cloud management.
+
+In order to support consistent management, business process automation and CSC experience, cloud services should understand a set of operations requirements. The word "understand" means that, for example if there is a request for a SMI to configure a service, then the SMI may:
+
+- 1) intelligently perform the steps required to configure the service per its operation environment, or
+- 2) transfer the request to other applications/services to perform the request, or
+- 3) simply return to the management application that there is no operation or capability to support this function.
+
+Therefore the cloud service compatibility can be provided in any of the following forms:
+
+- 1) new service component that is implemented by supporting the SMI specification and metadata to be defined;
+- 2) cloud service wrapper on existing service components;
+- 3) cloud service proxy where it transfers the actual operation tasks to other application/service components.
+
+## **6.2 Cloud service lifecycle management framework**
+
+E2E cloud computing management is the capability to manage services and resources (addressing fulfilment, assurance and repositories) of single or multiple cloud services spanning across one or more cloud service providers (CSPs), see [ITU-T Y.3521]. The common model for E2E cloud computing management is based on SMIs. The SMI based approach provides a means to allow consistent E2E management of cloud computing services exposed by and across, different domains of CSPs. Figure 6-1 depicts a conceptual framework of E2E cloud service lifecycle management.
+
+
+
+Figure 6-1 – E2E cloud service lifecycle management framework. The diagram shows two CSPs (CSP1 and CSP2) interacting with a CSC. CSP1 is titled 'Providing service and management to CSC' and contains an 'E2E cloud service lifecycle management system' and a 'Service catalogue' with 'Service1', 'Service2', and 'Service3'. It also has a 'Product catalogue' with 'Product1'. CSP2 is titled 'Providing service to CSC' and contains an 'E2E cloud service lifecycle management system' and a 'Service catalogue' with 'Service3'. Both CSPs have 'SMIs' (Service Management Interfaces) connecting them to the CSC. The CSC is a red box on the right. Arrows show 'E2E service management' and 'Provide service (FI)' from CSP1 to the CSC, and 'Provide service (FI)' from CSP2 to the CSC. A vertical label 'SMIs between CSPs' is on the right side of the CSP boxes.
+
+Y.3522(16)\_F6-1
+
+**Figure 6-1 – E2E cloud service lifecycle management framework**
+
+As the Figure 6-1 shows, the E2E cloud service lifecycle management system interacts with CSC and other E2E cloud service lifecycle management systems as follows:
+
+- 1) CSC can take an action (function) to search for a product (see "Product1" in Figure 6-1) in a self-service fashion (see clause 7.2). In fact, "Product1" is provided by CSP1 and it consists of three services: "Service1", "Service2" and "Service3". The "Service1" and "Service2" are provided by CSP1 while "Service3" is provided by CSP2. After the provisioning process, the CSC can access the E2E service management functions provided by CSP1 and the function of the services can be accessed through the FI provided by CSP1 and CSP2 respectively.
+- 2) The E2E cloud service lifecycle management system performs cloud service lifecycle management through SMIs in domains as follows:
+ - a) Defining services: all services need to be defined according to their role and what they offer.
+ - b) Building cloud service catalogue: the cloud service catalogue contains a list of services of a particular CSP. Besides the definition of the service, many attributes such as who can use this service, resource configurations, service levels, processes, networking options, constraints, etc. can be defined and provided through a service catalogue.
+ - c) Management of policy: CSCs require the ability to set policies for which cloud services are configured and managed i.e., controls over who has access to cloud assets, periodic and on-demand logging and reporting.
+ - d) Managing self-service portal: a self-service portal can be managed by a CSP to provide a product catalogue and to take CSCs' requests and offer a degree of control.
+ - e) Configuring: cloud services can be configured for provisioning and use.
+ - f) Provisioning service: cloud service should be provisioned automatically according to CSCs' requests.
+
+- g) Composition/orchestration of services: multiple cloud services may need to be composed into a single cloud service.
+ - h) Service decommissioning: for the best utilization of resources, when a cloud service (or resource) is suspended, it should be managed by freeing the associated resources. Decommissioning can be achieved on-demand, when a request from a CSC occurs or according to a schedule.
+ - i) Charging: according to the policy, time of use and service type, charging information can be provided.
+- 3) E2E cloud service lifecycle management system implemented by CSP1 can interact with E2E cloud service lifecycle management system implemented by CSP2 through the SMIs between CSPs as shown in Figure 6-1.
+
+### **6.3 Cloud service lifecycle management stages**
+
+A cloud service is managed differently in the various stages of its lifecycle. At a high level view, the lifecycle of the cloud service includes four stages: design, deployment, operation and retirement. The term stage is used to designate the various steps in this overall process. Particular tasks in each stage and how to control the level of independence or interaction from one stage to another stage vary from one organization to another.
+
+The tasks in each stage depend on development process considerations (e.g., software development, testing, deployment, etc.) and operational or business considerations (e.g., how a software component becomes a service in the organization and what are the resulting constraints that are then imposed on the software). Such considerations are part of CSP operational style. This clause presents the basic stages description below but in reality, the involved roles and implementation will vary based on the actual conditions.
+
+The cloud service lifecycle management stages are as follows:
+
+#### **1) Stage 1: Design**
+
+The service design metadata is built or the existing one is modified by creating new versions or variants in order to capture at the service level the necessary artefacts to support the business considerations.
+
+During the design stage, the necessary service process specification, template, rules, etc. are created and developed for the operation stage. Policies and their enforcement points are also defined for different service conditions.
+
+#### **2) Stage 2: Deployment**
+
+The more specific service deployment metadata specialized from the same service design metadata is built. It is typically done by associating specific values or value ranges for each invariant non-functional characteristic. Several sets of service deployment metadata associated with the same service design metadata constitute in a sense a specific family of related service deployment metadata. These service deployment metadata sets will be mapped to different product offerings and will be used as essential entry points during the fulfilment process.
+
+#### **3) Stage 3: Operation**
+
+This stage covers all the activities related to the actual instantiation, monitoring, analysis and feedback to design stage of each service. The management tasks of this stage actually involve two aspects:
+
+- a) the cloud service itself (seen as a coordinated set of resources in the execution environment from one or several domains);
+
+- b) the cloud service operation metadata, which is the unique representation of the service in the management infrastructure of the CSP.
+
+The operation stage includes the service instantiation and delivery process, during which, the designed templates and policies are distributed to the involved roles. The service is instantiated based on CSC's request and CSP's infrastructure condition. The monitoring control mechanism is set up along with the service instantiation.
+
+The automation of configuration is also provided in this stage, including the initial and subsequent changes. To achieve automation, the inventory, monitoring and control functions are activated.
+
+During the whole operation stage, the monitoring activities are performed via event listening; computing analysis is enforced based on data collection. The event, requiring healing and/or scaling, is published, based on pre-defined policies. The actions (healing and/or scaling) are performed to implement the changed demands.
+
+Based on the analytical data obtained during the operation stage, the patterns governing usage, thresholds, events, policy effectiveness, etc., are discerned and the feedback necessary to effect changes in the design stage is enabled.
+
+#### **4) Stage 4: Retirement**
+
+Triggered by the end of the contractual agreement between CSC and CSP, this stops the monitoring and usage activities and releases the resources and components associated with the cloud service resulting in its disappearing. Note that the retirement process does not necessarily mean that the associate service instance is removed from the service inventory. The CSP may want to keep the service operation metadata in "unconfigured" state in its management infrastructure.
+
+A conceptual cloud service will therefore evolve throughout stages such as those described above. This may affect the service lifecycle metadata as structure (e.g., adding a new element), or as value (e.g., modifying the current value of an element or attribute in the metadata associated with the service). Hence cloud service lifecycle metadata representation evolves with cloud service lifecycle stages while the stages essentially represent the different steps a service would be subject to, from design stage to retirement stage.
+
+## **6.4 Relationship with cloud computing reference architecture**
+
+The cloud computing reference architecture, see [ITU-T Y.3502] provides an architectural framework that is effective for describing the cloud computing roles, sub-roles, cloud computing activities, cross-cutting aspects, as well as the functional architecture and functional components of cloud computing. Although the cloud computing reference architecture does not mention the cloud service lifecycle management in the activities and functional architecture, some of its functional components can be used in different cloud service lifecycle management stages. For example, the subscription management functional component in cloud computing reference architecture handles subscriptions from CSC to particular cloud services, aiming to record new or changed subscription information from CSC and ensure the delivery of the subscribed service(s) to CSC. In addition the operation stage in the cloud service lifecycle covers all the activities related to the actual creation and monitoring of each service, which includes service subscription. Therefore the subscription management functional component can be used in operation stage.
+
+Figure 6-2 illustrates the relationship between E2E cloud service lifecycle stages and functional components of cloud computing reference architecture.
+
+
+
+| Design | Deployment | Operation | | Retirement |
+|-----------------------|---------------------------|-------------------------|---------------------------------|-------------------|
+| Service catalogue | Build management | Account management | Service level management | Service catalogue |
+| Developer environment | Test management | Subscription management | Incident and problem management | |
+| | Service policy management | Billing | Peer service management | |
+| | | Provisioning | Service automation | |
+
+Y.3522(16)\_F6-2
+
+Cloud service lifecycle stages (Chevron)
+Functional components in cloud computing reference architecture (Rectangle)
+
+Figure 6-2: Relationship E2E cloud service lifecycle stages and functional components of cloud computing reference architecture. The diagram shows four lifecycle stages: Design (green), Deployment (light blue), Operation (blue), and Retirement (purple). Each stage contains specific functional components. Design includes Service catalogue and Developer environment. Deployment includes Build management, Test management, and Service policy management. Operation includes Account management, Subscription management, Billing, Provisioning, Service level management, Incident and problem management, Peer service management, and Service automation. Retirement includes Service catalogue. A legend indicates that chevrons represent lifecycle stages and rectangles represent functional components.
+
+**Figure 6-2 – Relationship E2E cloud service lifecycle stages and functional components of cloud computing reference architecture**
+
+# 7 E2E cloud service lifecycle management functional requirements
+
+This clause provides requirements of E2E cloud service lifecycle management derived from the use cases described in Appendix I.
+
+## 7.1 Service management interface
+
+It is recommended that the CSP provides SMI between cloud services and an E2E cloud service lifecycle management system.
+
+It is recommended that the CSP provides management functionalities of its own cloud service to others CSPs through SMI between CSPs.
+
+## 7.2 Self-service
+
+It is recommended that the CSP provides an easy method (web portal or other automated approaches) to discover, purchase, configure, deploy, activate and deactivate a service and to check service status to the CSC.
+
+## 7.3 Service maintenance
+
+It is recommended that the CSP provides automated software enabled cloud services for continuous service maintenance to manage stability and availability of its service.
+
+## 7.4 Reporting
+
+It is recommended that the CSP provides functions to report (according to local laws and regulations) service health condition, performance, security, geo-location of services, events and other related activities which affect E2E cloud service performance.
+
+## 7.5 Composite applications or mash-ups
+
+It is recommended that the CSP provides functions to support the rapid delivery of cloud services that are delivered as composite apps, or mash-ups built from multiple services implemented by multiple cloud providers residing in different domains.
+
+## **7.6 Traditional business processes**
+
+It is recommended that the CSP provides functions to support the application of traditional business processes associated with administration, provisioning/configuration, service assurance and charging /billing/settlement involved across inter-clouds residing in different domains.
+
+### **7.7 Decommissioning**
+
+It is recommended that the CSP provides automatic de-commissioning of service resources either based on original service request expiration date or CSC decommission request initiated while the service is running.
+
+### **7.8 Policy**
+
+It is recommended that the CSP provides a set of policies for cloud service access and control.
+
+### **7.9 Lifecycle stage management**
+
+It is required that the CSP provides the ability to run the given service through its lifecycle stages and offers the needed functionality at every step of the process.
+
+### **7.10 Service automation and continuous delivery**
+
+It is required for the CSP to enable automated response to deal with the demand variations and offer necessary feedback to effect changes in the iterative design, by monitoring the service during its operation in order to provide the necessary service automation and continuous delivery without human intervention.
+
+### **7.11 Metadata management**
+
+It is required that the CSP provides metadata schema to support the dynamicity of the services by capturing the service dependencies and service properties at a per-instance level.
+
+# **8 Security considerations**
+
+Security aspects for consideration within the cloud computing environment are addressed by security challenges for the CSPs as described in [ITU-T X.1601]. In particular, [ITU-T X.1601] analyses security threats and challenges and describes security capabilities that could mitigate these threats and meet the security challenges.
+
+# Appendix I
+
+## E2E cloud service lifecycle management use cases
+
+(This appendix does not form an integral part of this Recommendation.)
+
+### I.1 Service management interface
+
+| | |
+|-------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | Service management interface |
+| Description | CSP1 and CSP 2 established an inter-cloud relationship. Each of them has their own E2E cloud service lifecycle management system inside.
CSP1 defines a software enabled service and provides the corresponding service management interface (SMI).
CSN makes use of the SMI capabilities provided by CSP1 and develops a new implementation of cloud service a1.
CSN registers the developed cloud service a1.
The status, availability, performance and/or delay time of a service a1 can be collected through SMI.
The CSP1 provides his cloud service a1 to CSP2.
CSC requests a composite service c1 to CSP2. This composite service includes the a1 service offered by CSP1 which provides a service and management to CSC.
The E2E cloud service lifecycle management system of CSP1 provisions and operates service a1 through its SMI.
The E2E cloud service lifecycle management system of CSP1 collects (according to local laws and regulations) service health condition, performance, security, geo-location and events results of the service a1 through its SMI.
The E2E cloud service lifecycle management system of CSP1 reports (according to local laws and regulations) service health condition, performance, security, geo-location of the service a1 events results internally to CSP1.
The E2E cloud service lifecycle management system of CSP1 can report the service health condition of service a1 externally to CSP2 through SMI between CSPs .
|
+| Roles | CSP, CSC, CSN |
+
+
+
+| | |
+|---------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Figure
(optional)
| The diagram illustrates the E2E cloud service lifecycle management system of CSP1 and CSP2. It shows the following components and steps:
- CSP1: E2E cloud service lifecycle management system of CSP1. It contains an SMI (Service Management Interface) and Service a1.
- CSP2: E2E cloud service lifecycle management system of CSP2.
- CSN: Cloud Service Network.
- CSC: Cloud Service Catalog.
The steps are as follows:
- 1. Define software enabled service a1 and corresponding SMI.
- 2. Implement and register cloud service a1.
- 3. Request a composite service c1.
- 4. Provision and operate cloud service a1 through corresponding service management interface.
- 5. Collect service health condition, performance, security, geo-location of cloud service a1 through corresponding service management interface.
- 6. Report internally service health condition, performance, security, geo-location of cloud service a1 through corresponding service management interface.
- 7. Report externally health condition of cloud service a1 through service management interface between CSPs.
The interactions are as follows:
- CSN is connected to steps 1 and 2.
- CSC is connected to step 3.
- CSP1 is connected to steps 4, 5, and 6.
- CSP2 is connected to step 7.
- SMI between CSPs connects CSP1 and CSP2.
Y.3522(16)_F1.1
|
+| Pre-conditions
(optional)
| |
+| Post-conditions
(optional)
| - – The status, availability, performance and/or delay time of cloud service can be collected through SMI.
- – The E2E cloud service lifecycle management system of CSP1 reports internally service health condition, performance, security, geo-location of cloud service a1 through corresponding SMI.
- – The E2E cloud service lifecycle management system of CSP1 reports externally service health condition of cloud service a1 to CSP2 through SMI between CSPs.
|
+| Derived requirements
| - – Service management interface (refer to clause 7.1)
- – Service Management Interface between CSPs (refer to clause 7.1)
- – Reporting (refer to clause 7.4)
|
+
+Diagram illustrating the E2E cloud service lifecycle management system of CSP1 and CSP2, showing steps 1 through 7, and the interaction between CSP1, CSP2, and CSN.
+
+### I.2 Self-service use case
+
+| | |
+|----------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | Self-service use case |
+| Description | CSP provides cloud services to the market. For improvement of CSC experiences, the CSP provides self-service method to CSCs (e.g., web portal or other automated approaches) to discover, purchase, configure, deploy, activate and deactivate cloud service and to check cloud service status. |
+| Roles | CSP, CSC |
+| Figure (optional) | / |
+| Pre-conditions (optional) | / |
+| Post-conditions (optional) | – The self-service method is provided to CSCs to discover, purchase, configure, deploy, activate and deactivate cloud service and to check cloud service status. |
+| Derived requirements | – Self-service (refer to clause 7.2) |
+
+### I.3 Service maintenance use case
+
+| | |
+|----------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | Service maintenance use case |
+| Description | A CSP provides cloud services to the market. For the stability and availability of its service, periodic maintenance is needed. For a good customer experience, the maintenance cannot result in a long suspension and deactivation of a service. Therefore it is required that CSP can provide automated software enabled cloud services to shorten the maintenance time. |
+| Roles | CSP |
+| Figure (optional) | / |
+| Pre-conditions (optional) | – The CSP can provide automated software enabled cloud services. |
+| Post-conditions (optional) | – The duration of suspension and deactivation is reduced markedly. |
+| Derived requirements | – Service maintenance (refer to clause 7.3) |
+
+### I.4 Composite applications or mash-ups use case
+
+| | |
+|-------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | Composite applications or mash-ups use case |
+| Description | CSP1 builds cloud service c1 as composite apps, or mash-ups from service1 delivered by CSP1 and service2 delivered by CSP2. |
+| Roles | CSP |
+| Figure (optional) | CSP1 builds a composite service c1 as composite apps or mash-ups from service1 and service2
Image: Diagram illustrating the composite applications or mash-ups use case. It shows two cloud environments. The left cloud, labeled 'CSP1', contains 'Service1' and 'Service c1'. The right cloud, labeled 'CSP2 (peer cloud service provider)', contains 'Service2 (peer cloud service)'. Arrows indicate that 'Service c1' is composed of 'Service1' and 'Service2'. A text box above the diagram states: 'CSP1 builds a composite service c1 as composite apps or mash-ups from service1 and service2'.
Y.3522(16)_FI.2
|
+
+| | |
+|----------------------------|------------------------------------------------------------------------------------------------------------------------|
+| Pre-conditions (optional) | - – Service1 delivered by CSP1.
- – Service2 delivered by CSP2.
|
+| Post-conditions (optional) | - – A composite service c1 is built from service1 and service2.
|
+| Derived requirements | - – Composite applications or mash-ups (refer to clause 7.5)
|
+
+### I.5 Traditional business processes use case
+
+| | |
+|----------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | Traditional business processes use case |
+| Description | CSP1 builds a composite service c1 from service1 delivered by CSP1 and service2 delivered by CSP2. CSP1 can provide functions to support the application of traditional business processes associated with administration, provisioning/configuration, service assurance and charging /billing/settlement for service c1. |
+| Roles | CSP |
+| Figure (optional) | CSP1 can provide functions to supports the application of traditional business processes associated with administration, provisioning/configuration, service assurance and charging/billing/settlement for service c1
Image: Diagram showing CSP1 and CSP2 (peer cloud service provider) interacting. CSP1 contains Service1 and Service c1. CSP2 contains Service2 (peer cloud service). Arrows indicate data flow from Service1 and Service2 to Service c1.
Y.3522(16)_FI.3
|
+| Pre-conditions (optional) | - – CSP1 builds a composite service c1 from service1 delivered by CSP1 and service2 delivered by CSP2.
|
+| Post-conditions (optional) | - – CSP1 can provide functions to support the application of traditional business processes associated with administration, provisioning/configuration, service assurance and charging /billing/settlement for service c1.
|
+| Derived requirements | - – Traditional business processes (refer to clause 7.6)
|
+
+### I.6 Decommissioning use case
+
+| | |
+|----------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | Service decommissioning use case |
+| Description | A CSP provides cloud services to the market. When an original service request passes its expiration date or a user decommission request initiated while the service is running, the resources of this service should be decommissioned automatically. |
+| Roles | CSP |
+| Figure (optional) | / |
+| Pre-conditions (optional) | - – An original service request passes its expiration date or a user decommission request initiated while the service is running.
|
+| Post-conditions (optional) | - – The service resources have been decommissioned automatically.
|
+| Derived requirements | - – Decommissioning (refer to clause 7.7)
|
+
+### I.7 Policy use case
+
+| | |
+|----------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | Policy use case |
+| Description | A CSP provides some kind of cloud services to the market. The CSC of its service want to have the abilities to control who can access to cloud assets, plus both periodic and on-demand logging and reporting. Therefore the CSP is required to provide functions to support the CSC's ability to set policies for doing this. |
+| Roles | CSP, CSC |
+| Figure (optional) |
Y.3522(16)_FI.4
|
+| Pre-conditions (optional) | CSC can set policies on the service. |
+| Post-conditions (optional) | The policies of the service have been set successfully. |
+| Derived requirements | – Policy (refer to clause 7.8) |
+
+### I.8 Lifecycle stage management use case
+
+| | |
+|----------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | Lifecycle stage management use case |
+| Description | A CSP provides some kind of cloud services to the market. For a better management for its services, the CSP is required to provide the ability to run the given service through its lifecycle stages and offers the needed functionality at every step of the process. |
+| Roles | CSP |
+| Figure (optional) | / |
+| Pre-conditions (optional) | / |
+| Post-conditions (optional) | / |
+| Derived requirements | – Lifecycle stage management (refer to clause 7.9) |
+
+### **I.9 Service automation and continuous delivery use case**
+
+| | |
+|----------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | Service automation and continuous delivery use case |
+| Description | A CSP provides cloud services to the market. Because of the continuous changing of the market and CSC's requirements, the design of the cloud service should be an iterative process. By monitoring the service during its operation, the demand variations should be responded to automatically and the necessary feedback to effect changes should be offered to the service designer. |
+| Roles | CSP, CSC |
+| Figure (optional) | / |
+| Pre-conditions (optional) | / |
+| Post-conditions (optional) | / |
+| Derived requirements | – Service automation and continuous delivery (refer to clause 7.10) |
+
+### **I.10 Metadata management use case**
+
+| | |
+|----------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Title | Metadata management use case |
+| Description | A CSP provides cloud services to the market. According to market requirement changes, it is needed to adjust the already existing cloud services. Therefore, a robust schema like metadata which can be distributed in each stage needs to be provided. |
+| Roles | CSP |
+| Figure (optional) | / |
+| Pre-conditions (optional) | / |
+| Post-conditions (optional) | CSP can support new cloud service creation with minimal modifications. |
+| Derived requirements | – Metadata management (refer to clause 7.11) |
+
+# Bibliography
+
+- [b-TMF TR198] TM Forum TR198, *Multi-Cloud Service Management Pack – Simple Management API (SMI) Developer Primer and Code Pack, Release 2.2.*
+
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | General tariff principles |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Terminals and subjective and objective assessment methods |
+| Series Q | Switching and signalling |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects and next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+I n t e r n a t i o n a l T e l e c o m m u n i c a t i o n U n i o n
+
+# ITU-T
+
+TELECOMMUNICATION
+STANDARDIZATION SECTOR
+OF ITU
+
+# Y.3536
+
+(02/2022)
+
+SERIES Y: GLOBAL INFORMATION
+INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS,
+NEXT-GENERATION NETWORKS, INTERNET OF
+THINGS AND SMART CITIES
+
+Cloud Computing
+
+# --- **Cloud computing – Functional architecture for cloud service brokerage**
+
+Recommendation ITU-T Y.3536
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+## GLOBAL INFORMATION INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS, NEXT-GENERATION NETWORKS, INTERNET OF THINGS AND SMART CITIES
+
+## GLOBAL INFORMATION INFRASTRUCTURE
+
+| | |
+|-------------------------------------------|-------------|
+| General | Y.100–Y.199 |
+| Services, applications and middleware | Y.200–Y.299 |
+| Network aspects | Y.300–Y.399 |
+| Interfaces and protocols | Y.400–Y.499 |
+| Numbering, addressing and naming | Y.500–Y.599 |
+| Operation, administration and maintenance | Y.600–Y.699 |
+| Security | Y.700–Y.799 |
+| Performances | Y.800–Y.899 |
+
+## INTERNET PROTOCOL ASPECTS
+
+| | |
+|--------------------------------------------------------------------|---------------|
+| General | Y.1000–Y.1099 |
+| Services and applications | Y.1100–Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200–Y.1299 |
+| Transport | Y.1300–Y.1399 |
+| Interworking | Y.1400–Y.1499 |
+| Quality of service and network performance | Y.1500–Y.1599 |
+| Signalling | Y.1600–Y.1699 |
+| Operation, administration and maintenance | Y.1700–Y.1799 |
+| Charging | Y.1800–Y.1899 |
+| IPTV over NGN | Y.1900–Y.1999 |
+
+## NEXT GENERATION NETWORKS
+
+| | |
+|-------------------------------------------------------------------|---------------|
+| Frameworks and functional architecture models | Y.2000–Y.2099 |
+| Quality of Service and performance | Y.2100–Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200–Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250–Y.2299 |
+| Enhancements to NGN | Y.2300–Y.2399 |
+| Network management | Y.2400–Y.2499 |
+| Computing power networks | Y.2500–Y.2599 |
+| Packet-based Networks | Y.2600–Y.2699 |
+| Security | Y.2700–Y.2799 |
+| Generalized mobility | Y.2800–Y.2899 |
+| Carrier grade open environment | Y.2900–Y.2999 |
+
+## FUTURE NETWORKS
+
+| | |
+|------------------------|----------------------|
+| CLOUD COMPUTING | Y.3500–Y.3599 |
+|------------------------|----------------------|
+
+| | |
+|----------|---------------|
+| BIG DATA | Y.3600–Y.3799 |
+|----------|---------------|
+
+| | |
+|-----------------------------------|---------------|
+| QUANTUM KEY DISTRIBUTION NETWORKS | Y.3800–Y.3999 |
+|-----------------------------------|---------------|
+
+## INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES
+
+| | |
+|---------------------------------------------------------|---------------|
+| General | Y.4000–Y.4049 |
+| Definitions and terminologies | Y.4050–Y.4099 |
+| Requirements and use cases | Y.4100–Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250–Y.4399 |
+| Frameworks, architectures and protocols | Y.4400–Y.4549 |
+| Services, applications, computation and data processing | Y.4550–Y.4699 |
+| Management, control and performance | Y.4700–Y.4799 |
+| Identification and security | Y.4800–Y.4899 |
+| Evaluation and assessment | Y.4900–Y.4999 |
+
+For further details, please refer to the list of ITU-T Recommendations.
+
+## Recommendation ITU-T Y.3536
+
+# Cloud computing – Functional architecture for cloud service brokerage
+
+## Summary
+
+Recommendation ITU-T Y.3536 describes functional architecture for cloud service brokerage (CSB) based on functional requirements defined in Recommendation ITU-T Y.3506. This Recommendation also provides the reference points among CSB functions, and the relationship between the CSB functional architecture and the cloud computing reference architecture specified in Recommendation ITU-T Y.3502.
+
+## History
+
+| Edition | Recommendation | Approval | Study Group | Unique ID* |
+|---------|----------------|------------|-------------|---------------------------------------------------------------------------|
+| 1.0 | ITU-T Y.3536 | 2022-02-13 | 13 | 11.1002/1000/14861 |
+
+## Keywords
+
+Cloud computing, cloud service broker, cloud service brokerage, functional architecture.
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID. For example, .
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents/software copyrights, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the appropriate ITU-T databases available via the ITU-T website at .
+
+© ITU 2022
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | | Page |
+|---|--------------------------------------------------------------------------------------------------------------------------------|-------------|
+| 1 | Scope ..... | 1 |
+| 2 | References..... | 1 |
+| 3 | Definitions ..... | 1 |
+| | 3.1 Terms defined elsewhere..... | 1 |
+| | 3.2 Terms defined in this Recommendation..... | 2 |
+| 4 | Abbreviations and acronyms ..... | 2 |
+| 5 | Conventions ..... | 3 |
+| 6 | Relationship between CSB logical components and CSB functions..... | 3 |
+| 7 | CSB functions..... | 4 |
+| | 7.1 User access management function group ..... | 4 |
+| | 7.2 Product catalogue management function group ..... | 5 |
+| | 7.3 Cloud service agreement management function group ..... | 7 |
+| | 7.4 Service control function group ..... | 9 |
+| 8 | CSB functional architecture..... | 11 |
+| | 8.1 CSB function groups ..... | 11 |
+| | 8.2 Reference points ..... | 12 |
+| 9 | Security considerations..... | 13 |
+| | Appendix I – Relationship between functional requirements and CSB functions..... | 14 |
+| | Appendix II – Relationship among CSB functions..... | 17 |
+| | Appendix III – Relationship between CSB functions and functional components of cloud
computing reference architecture ..... | 18 |
+| | Bibliography..... | 20 |
+
+
+
+## Recommendation ITU-T Y.3536
+
+# Cloud computing – Functional architecture for cloud service brokerage
+
+# 1 Scope
+
+This Recommendation specifies the functional architecture for cloud service brokerage (CSB) based on the functional requirements defined in [ITU-T Y.3506]. It addresses the following subjects:
+
+- Functions of cloud service brokerage;
+- Functional architecture of cloud service brokerage;
+- Relationship between the CSB functional architecture and the cloud computing reference architecture.
+
+# 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+- [ITU-T X.1601] Recommendation ITU-T X.1601 (2015), *Security framework for cloud computing*.
+- [ITU-T Y.3502] Recommendation ITU-T Y.3502 (2014), *Information technology – Cloud computing – Reference architecture*.
+- [ITU-T Y.3506] Recommendation ITU-T Y.3506 (2018), *Information technology – Cloud computing – Functional requirements for cloud service brokerage*.
+
+# 3 Definitions
+
+## 3.1 Terms defined elsewhere
+
+This Recommendation uses the following terms defined elsewhere:
+
+**3.1.1 cloud service customer** [b-ITU-T Y.3500]: Party which is in a business relationship for the purpose of using cloud services.
+
+**3.1.2 cloud service provider** [b-ITU-T Y.3500]: Party which makes cloud services available.
+
+**3.1.3 cloud service broker** [b-ITU-T Y.3500]: Cloud service partner that negotiates relationships between cloud service customers and cloud service providers.
+
+**3.1.4 product catalogue** [ITU-T Y.3502]: A listing of all the cloud service products which cloud service providers make available to cloud service customers.
+
+**3.1.5 cloud service agreement** [b-ISO/IEC 19086-1]: Documented agreement between the cloud service provider and cloud service customer that governs the covered service(s).
+
+NOTE – A cloud service agreement can consist of one or more parts recorded in one or more documents.
+
+**3.1.6 cloud service brokerage** [ITU-T Y.3506]: A service that arbitrates, delivers, and manages cloud services provided by cloud service providers (CSPs) for cloud service customers (CSCs).
+
+NOTE – Cloud service brokerage is realized by cloud service broker with new activities. The new activities are (i) assist CSC for accessing service and (ii) check and control service status.
+
+**3.1.7 cloud service level agreement** [b-ISO/IEC 19086-1]: Part of the cloud service agreement (clause 3.1.5) that includes cloud service level objectives (clause 3.1.8) and cloud service qualitative objectives (clause 3.1.9) for the covered cloud service(s).
+
+**3.1.8 cloud service level objective** [b-ISO/IEC 19086-1]: Commitment a cloud service provider makes for a specific, quantitative characteristic of a cloud service, where the value follows the interval scale or ratio scale.
+
+NOTE – A cloud service level objective commitment may be expressed as a range.
+
+**3.1.9 cloud service qualitative objective** [b-ISO/IEC 19086-1]: Commitment a cloud service provider makes for a specific, qualitative characteristic of a cloud service, where the value follows the nominal scale or ordinal scale.
+
+NOTE 1 – A cloud service qualitative objective may be expressed as an enumerated list.
+
+NOTE 2 – Qualitative characteristics typically require human interpretation.
+
+NOTE 3 – The ordinal scale allows for existence/non-existence.
+
+## **3.2 Terms defined in this Recommendation**
+
+None.
+
+# **4 Abbreviations and acronyms**
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|---------|------------------------------------------------------|
+| API | Application Programming Interface |
+| BM-F | Business Management Function |
+| CSAM-F | Cloud Service Access information Management Function |
+| CSAM-FG | Cloud Service Agreement Management Function Group |
+| CSB | Cloud Service Brokerage |
+| CSC | Cloud Service Customer |
+| CSC-F | Cloud Service Configuration Function |
+| CSD-F | Cloud Service Deregistration Function |
+| CSM-F | Cloud Service Monitoring Function |
+| CSN | Cloud Service Partner |
+| CSP | Cloud Service Provider |
+| CSR-F | Cloud Service Registration Function |
+| CSRM-F | Cloud Service Requirement Management Function |
+| CSS-F | Cloud Service Search Function |
+| OS | Operating System |
+| PCM-FG | Product Catalogue Management Function Group |
+| RD-F | Request Delivering Function |
+| RV-F | Request Validation Function |
+| SC-FG | Service Control Function Group |
+| SDM-F | SLA Document Management Function |
+
+| | |
+|---------|------------------------------------------------|
+| SLA | Service Level Agreement |
+| SLO | Service Level Objectives |
+| SM-F | SLA Management Function |
+| SQO | Service Qualitative Objectives |
+| UAM-F | User Account Management Function |
+| UAUTH-F | User Authentication and authorization Function |
+| UIM-F | User Interface Management Function |
+| UM-FG | User access Management Function Group |
+| URL | Uniform Resource Locator |
+
+# 5 Conventions
+
+Throughout this Recommendation, the term "CSB user" stands for "CSP and CSC".
+
+# 6 Relationship between CSB logical components and CSB functions
+
+A cloud service broker described in [ITU-T Y.3506] is a sub-role of cloud service partner (CSN) that negotiates relationships between cloud service customers (CSCs) and cloud service providers (CSPs). A cloud service brokerage (CSB) as described in [ITU-T Y.3506] is a service between CSCs and CSPs, in which the cloud service broker arbitrates, delivers, and manages the cloud services from the CSPs to the CSCs. The objectives of cloud service brokerage (CSB) are to provide a single access, easily managed and value-added service to CSCs from multiple CSPs. There are five CSB logical components in [ITU-T Y.3506]:
+
+- workspace;
+- product catalogue management;
+- contract management;
+- service access management;
+- service management.
+
+These CSB logical components are realized by the following CSB function groups:
+
+- user access management function group: provides authentication of CSB users and grants authorization to access other CSB functions;
+- product catalogue management function group: supports registering, deregistering, searching cloud services within the CSB product catalogue, and allowing CSCs to select cloud services;
+- cloud service agreement management function group: manages contracts between CSPs and CSCs including cloud service level agreements (SLAs);
+- service control function group: requests CSPs to initiate contracted cloud services accompanied by access information and, also, requests service controls (such as initiate, resume/suspend, create, and stop) and monitors the status of running cloud services.
+
+Table 6-1 shows the relationship between CSB logical components and CSB function groups in this Recommendation. The mapping between the functional requirements of each of the CSB logical components in [ITU-T Y.3506] and CSB functions in clause 7 of this Recommendation is described in Appendix I.
+
+**Table 6-1 – Relationship between CSB logical components and CSB function groups**
+
+| CSB logical components in [ITU-T Y.3506] | CSB function groups in this Recommendation |
+|------------------------------------------|-----------------------------------------------------------------------|
+| workspace | user access management function group
(see clause 7.1) |
+| product catalogue management | product catalogue management function group
(see clause 7.2) |
+| contract management | cloud service agreement management function group
(see clause 7.3) |
+| service access management | service control function group (see clause 7.4) |
+| service management | service control function group (see clause 7.4) |
+
+# 7 CSB functions
+
+Figure 7-1 shows the CSB function groups and corresponding CSB functions.
+
+
+
+```
+
+graph LR
+ subgraph PCMG [Product catalogue management]
+ CSR[Cloud service registration]
+ CSD[Cloud service deregistration]
+ CSR[Cloud service requirement management]
+ CSS[Cloud service search]
+ end
+
+ subgraph UAM [User access management]
+ UAM1[User account management]
+ UAM2[User authentication and authorization]
+ UIM[User interface management]
+ end
+
+ subgraph CSAM [Cloud service agreement management]
+ CSAM1[SLA document management]
+ CSAM2[SLA management]
+ CSAM3[Business management]
+ CSAM4[Cloud service configuration]
+ end
+
+ subgraph SC [Service control]
+ CSAIM[Cloud service access information management]
+ RD[Request delivering]
+ CSM[Cloud service monitoring]
+ RV[Request validation]
+ end
+
+ style PCMG fill:none,stroke:#000,stroke-width:2px
+ style UAM fill:none,stroke:#000,stroke-width:2px
+ style CSAM fill:none,stroke:#000,stroke-width:2px
+ style SC fill:none,stroke:#000,stroke-width:2px
+ style CSR fill:none,stroke:#000,stroke-width:1px
+ style CSD fill:none,stroke:#000,stroke-width:1px
+ style CSR fill:none,stroke:#000,stroke-width:1px
+ style CSS fill:none,stroke:#000,stroke-width:1px
+ style UAM1 fill:none,stroke:#000,stroke-width:1px
+ style UAM2 fill:none,stroke:#000,stroke-width:1px
+ style UIM fill:none,stroke:#000,stroke-width:1px
+ style CSAM1 fill:none,stroke:#000,stroke-width:1px
+ style CSAM2 fill:none,stroke:#000,stroke-width:1px
+ style CSAM3 fill:none,stroke:#000,stroke-width:1px
+ style CSAM4 fill:none,stroke:#000,stroke-width:1px
+ style CSAIM fill:none,stroke:#000,stroke-width:1px
+ style RD fill:none,stroke:#000,stroke-width:1px
+ style CSM fill:none,stroke:#000,stroke-width:1px
+ style RV fill:none,stroke:#000,stroke-width:1px
+
+```
+
+Legend: Function group Function
+
+Y.3536(22)
+
+Figure 7-1: CSB function groups and CSB functions. The diagram shows three main function groups: Product catalogue management, User access management, and Service control. Product catalogue management includes Cloud service registration, Cloud service deregistration, Cloud service requirement management, and Cloud service search. User access management includes User account management, User authentication and authorization, and User interface management. Cloud service agreement management includes SLA document management, SLA management, Business management, and Cloud service configuration. Service control includes Cloud service access information management, Request delivering, Cloud service monitoring, and Request validation. A legend indicates that rounded rectangles represent function groups and rectangles represent functions.
+
+**Figure 7-1 – CSB function groups and CSB functions**
+
+## 7.1 User access management function group
+
+The user access management function group manages user accounts including user authentication and authorization in CSB and provides user interfaces for CSPs and CSCs.
+
+### 7.1.1 User authentication and authorization
+
+The user authentication and authorization function supports CSB user's authentication and authorization. This function supports the following:
+
+- confirming CSB user's identity to allow or deny access to the user interface for user authentication;
+- determining whether the authenticated CSB user has access rights to the particular CSB functions and services for user authorization;
+- performing authentication/authorization for CSCs and CSPs by using user account information maintained in the user account management function.
+
+NOTE – User account information is a collection of data associated with a particular CSB user. Each user account information comprises identities (e.g., a username and password), and defines access levels, storage space, etc.
+
+### **7.1.2 User account management**
+
+The user account management function supports the following:
+
+- maintaining accounts of CSB users;
+- supporting creation, modification, and deletion of user accounts;
+- providing user account information to the user authentication and authorization function.
+
+#### **7.1.3 User interface management**
+
+The user interface management function supports the following:
+
+- providing interfaces of CSB functions to authenticated and authorized CSPs and CSCs.
+
+NOTE 1 – A user interface is an access point to CSB functions. CSPs and CSCs perform their operations through this function.
+
+NOTE 2 – CSPs operate registration/deregistration and CSCs search, select, and order cloud services by using interfaces provided by this function.
+
+This function provides CSP's interface for:
+
+- registering cloud services to the CSB product catalogue by delivering registration information (see clause 7.2.1) to the cloud service registration function;
+- deregistering cloud services from the CSB product catalogue by transferring deregistration control actions (see clause 7.2.2) to the cloud service deregistration function;
+- providing subscription and billing information (see clause 7.3.4) to the business management function;
+- supporting the adaptation of the different cloud services application programming interfaces (APIs) of multiple CSPs.
+
+NOTE – The format of the cloud service API provided by the CSPs is transformed into the CSB's API format.
+
+This function provides the CSC's interface for:
+
+- receiving a cloud SLA document (see clause 7.3.3) from the SLA document management function;
+- receiving an invoice and performing subscription management from the business management function (see clause 7.3.4);
+- obtaining access information (see clause 7.4.1) from the access information management function;
+- requesting searching or deploying of cloud services with associated CSC's requirements (see clause 7.2.3) to cloud service requirement management function;
+- requesting control actions for cloud services (see clause 7.4) to the request delivering function (see clause 7.4.3);
+- monitoring the status of running cloud services by delivering monitoring information (see clause 7.4.2) from the cloud service monitoring function.
+
+## **7.2 Product catalogue management function group**
+
+The product catalogue management function group provides registering and deregistering for CSPs, managing cloud service requirements, and searching the best matched cloud service for CSCs.
+
+#### 7.2.1 Cloud service registration
+
+The cloud service registration function supports the following:
+
+- registering CSP's cloud services to the CSB product catalogue by using registration information;
+
+NOTE – The registration information for a CSP delivered from the user interface management function includes an identity, uniform resource locator (URL), access account of the CSP, and so on.
+
+- collecting multiple cloud services registered in the CSB product catalogue and orchestrating the cloud services to make them work together for the cloud service integration model, so as to provide value-added cloud services to the CSCs according to requirements from a cloud service broker defined in clause 8.4.1.3 of [ITU-T Y.3502];
+- performing customized development on existing multiple cloud services in the CSB product catalogue on demand for the cloud service customization model;
+- sending the new integrated value-added or customized cloud services to the CSPs after the cloud service integration and customization registration, to check that the new cloud services are correct and available.
+
+### 7.2.2 Cloud service deregistration
+
+The cloud service deregistration function supports the following:
+
+- disabling the cloud service from the CSB product catalogue;
+- notifying deregistration of the cloud service to related CSCs;
+- requesting the related CSCs to stop all running cloud services;
+- deleting the cloud service from the CSB product catalogue;
+- notifying the service deregistration to all CSCs not to use the deregistered service;
+- requesting the related CSPs to maintain the deregistered service until the CSCs finish using the cloud service.
+
+NOTE – Deregistration control actions regarding notifications and requests to related CSCs and CSPs are performed through the user access management function group.
+
+#### 7.2.3 Cloud service requirement management
+
+The cloud service requirement management function supports the following:
+
+- managing CSC's requirements based on a cloud service requirement template;
+- validating CSC's requirements from the contents using the cloud service requirement template;
+- managing cloud SLA information of the cloud service and delivering the information to the SLA management function for a contract.
+
+NOTE 1 – The CSC's requirement includes cloud SLA information for the cloud service such as cloud service qualitative objectives (SQC), price of the requested cloud service, remedies for failures to meet the terms of the cloud SLA, and so on. The CSC's requirement also includes information about specifications of the cloud service such as virtual machine, OS type, applications, etc.
+
+NOTE 2 – The cloud SLA ordinarily contains a collection of cloud service level objectives (SLOs) and cloud SQOs relating to the cloud service. This might include availability, reliability, performance, security, data protection, compliance and data handling defined in [b-ISO/IEC 19086-1].
+
+#### 7.2.4 Cloud service search
+
+The cloud service search function supports the following:
+
+- supporting searching of cloud services in the CSB product catalogue to match with CSC's requirements received from the cloud service requirement management function;
+- providing priorities of cloud services for CSCs to easily select, if there exist multiple cloud services matched with CSC's requirements;
+- initiating integration and/or configuration of registered cloud services from CSPs if it fails to find a matching cloud service for the cloud service customization;
+
+NOTE – The initiations of cloud service integration and configuration are delivered to the cloud service registration function.
+
+### **7.3 Cloud service agreement management function group**
+
+The cloud service agreement management function group provides the cloud SLA and cloud SLA document management, cloud service configuration management, and business management between CSPs and CSCs.
+
+The cloud service agreement management function group establishes a contract in terms of the cloud service agreement which includes the cloud SLA and manages the contracted service level by monitoring cloud services for cloud SLO and performing actions to remedy failures to meet the contracted service level.
+
+This function group creates a cloud SLA document based on the CSC's cloud service requirements and the corresponding CSP's cloud SLA and notifies it to the contracted CSC. This function group also registers an agreed service level to the service control function group to guarantee the contracted service quality. If the cloud service fails to meet the service level, this function group enforces remedies for failures to meet the terms of the cloud SLA.
+
+NOTE – The cloud SLA includes agreements such as specification of cloud services, service level in terms of quality, price of cloud service, remedies for failures to meet the terms of the cloud SLA, and so on.
+
+#### **7.3.1 SLA management**
+
+The SLA management function is involved during the establishment of a cloud service agreement and manages cloud SLA by monitoring cloud services for cloud SLO to verify the service level, by detecting failures to meet the terms of the cloud SLA through monitoring, and by providing agreed remedies for failures to meet the terms of the cloud SLA.
+
+NOTE 1 – Monitoring includes one or more measurable information such as storage speeds, memory capacity and performance, computing speeds, network speeds, service response time, etc.
+
+NOTE 2 – Examples of a remedy are migration, scale up, performance extension and so on. If a failure to meet the terms of the cloud SLA is found in the integrated cloud service, the SLA management function identifies the cloud service that caused the failure.
+
+This function supports the following:
+
+- receiving CSC's requirements to establish cloud SLA of the cloud service from the cloud service requirement management function of the product catalogue management function group;
+- delivering CSC's requirements to the cloud service configuration function to configure the cloud service according to the CSC's requirements;
+- providing selection of cloud SLOs to the CSC according to business requirements of the CSC;
+- delivering the service specifications and cloud SLO to the SLA document management function after the configuration is finished and the CSC confirms the cloud service with detail configurations and cloud SLO so that the SLA document management function generates a cloud SLA document;
+
+- establishing cloud SLA with the CSC based on the cloud SLA document by sharing it with the CSC through the user interface management function;
+
+NOTE 3 – The cloud SLA document includes selection of cloud SLO from a CSC according to business requirements of the CSC.
+
+- delivering a request for initiating the cloud service to the request delivering function in the service control function group after the cloud service agreement is established;
+- checking cloud services for cloud SLO to verify the service level by receiving monitoring data from the cloud service monitoring function after service control function group initiates the cloud service;
+- detecting failures to meet the terms of the cloud SLA;
+- providing agreed remedies for failures to meet the terms of the cloud SLA;
+- notifying failures and remedies regarding the cloud SLA to the CSC through the user interface management function.
+
+#### **7.3.2 Cloud service configuration**
+
+The cloud service configuration function supports the following:
+
+- configuring a cloud service by specifying elements of the cloud service selected by a CSC;
+- receiving specification for elements of the cloud service, from the SLA management function;
+- returning a service manifest, which is used by the service control function group to initiate the cloud service with the specified elements, to the SLA management function.
+
+NOTE – Examples for configurable elements of a cloud service include virtual machine specifications, OS types, applications, etc.
+
+#### **7.3.3 SLA document management**
+
+The SLA document management function supports the following:
+
+- providing the cloud SLA description model to describe terms and conditions for a CSC;
+- generating a cloud SLA document according to the agreement to share the cloud SLA document with the related CSC;
+- receiving a request from the SLA management function to generate a cloud SLA document along with information for the service specifications and cloud SLO which the CSC selects;
+- returning a cloud SLA document which complies with the cloud SLA description model to describe terms and conditions.
+
+#### **7.3.4 Business management**
+
+The business management function supports the following:
+
+- gathering billing information from related CSPs;
+- generating an invoice for the usage of a cloud service by reorganizing the billing information gathered from related CSPs;
+- providing the generated invoices to CSCs through the user interface management function;
+
+NOTE 1 – The billing information is used to generate invoices for the usage of a cloud service. The billing information includes business information related to payment, such as methods for payment and costs for the usage of the cloud service based on price and metering.
+
+- handling the subscriptions of the CSCs of the cloud services provided by multiple CSPs through the user interface management function, allowing for managing (e.g., creating, modifying, updating, deleting and querying) the subscriptions.
+
+NOTE 2 – the subscription provides a complete view of CSCs' cloud service ordering records information of the cloud services from multiple CSPs, including cloud service ordering type (e.g., new purchase, renewal, upgrading, refunding, cancelling, etc.), ordering time, billing information, discount information, payment status, related CSPs information, detailed cloud services information, etc.
+
+### **7.4 Service control function group**
+
+The service control function group provides cloud service delivering, validation, monitoring and cloud service access information management between CSCs and CSPs, so as to satisfy the requirements of the cloud service control actions of the CSCs.
+
+The service control function group requests to deploy a cloud service to a CSP and provides the access information to a CSC so that the CSC is able to use the cloud service after the contract phase. In addition, this function group requests service control actions for running cloud services from CSCs to CSPs and monitors the status of the cloud services to check for failure of the services such as cloud SLA violation.
+
+This function group receives service control requests from the cloud service agreement management function group or the user access management function group. The request delivering function in this function group achieves service controls by delivering the CSC's request to the corresponding CSP. This function group validates the status of a cloud service whether the status is changed correctly or not in accordance with the delivered request for a control action of the cloud service.
+
+NOTE – The control actions for cloud services vary according to each cloud service. Examples of a control actions for a cloud service include create, initiate, suspend/resume, and stop of the cloud service.
+
+#### **7.4.1 Cloud service access information management**
+
+The cloud service access information management function supports the following:
+
+- managing the access information of the cloud services received from the CSP through the request delivering function;
+- forwarding the access information of the cloud service from the CSP to the contracted CSC.
+
+NOTE – The access information is required for a CSC to access a cloud service. The access information includes an access point such as an Internet protocol address or URL of the cloud service and authentication methods such as a certificate or identification and password to access the cloud service.
+
+#### **7.4.2 Cloud service monitoring**
+
+The cloud service monitoring function supports the following:
+
+- gathering monitoring information periodically or aperiodically at runtime to check the status of cloud services;
+- delivering monitoring information to the SLA management function, business management function, and the user interface management function to notify monitoring information to a CSC.
+
+NOTE – The monitoring information includes measured data for metrics of service levels in the cloud SLA, resource utilization, and the status of logical resources (e.g., virtual machine) of cloud services.
+
+#### **7.4.3 Request delivering**
+
+The request delivering function supports the following:
+
+- delivering provisioning requests to CSPs as requested by the CSC;
+
+- delivering requests for control actions (see Note in clause 7.4) for a cloud service from a CSC to a CSP;
+- delivering the CSC's request for resources to a CSP when a CSC needs more cloud resources of a cloud service;
+- receiving an acknowledgement for the cloud service control request from the CSP;
+- delivering the cloud service identification, target status, and the acknowledgement to the request validation function to validate the status of a cloud service whether the status is changed correctly or not in accordance with the delivered request for a control action of the cloud service;
+- receiving cloud service status verification information from the request validation function after the control action of the cloud service is verified by the request validation function;
+- notifying the result of cloud service control to a CSC;
+- initiating monitoring of the cloud service by invoking the cloud service monitoring function;
+- delivering the access information of the initiated cloud service to the access information management function so that an authorized CSC can use the cloud service.
+
+#### **7.4.4 Request validation**
+
+The request validation function validates the status of a cloud service whether the status is changed correctly or not in accordance with the delivered request for a control action of the cloud service by a CSC. Since changing the status of the cloud service takes time according to the circumstance of a CSP, a cloud service broker does not know the result of the control request instantly. Therefore, to validate the status of cloud service, the request validation function needs to check periodically the current status of the cloud service by communicating with the CSP until the validation is finished. This function supports the following:
+
+- initiating service control status validation after the request delivering function delivers a control request to a CSP and receives an acknowledgement from the CSP to inform of receipt of a request for the service control;
+- checking periodically the current status of a cloud service by communicating with the CSP until the operation for the service control is finished;
+- updating the current status of the cloud service according to a result of the communication with the CSP for checking status on a service control request;
+- predicting a completion time of the cloud service control to reduce communication overhead between the cloud service broker and the CSP;
+
+NOTE 1 – To predict the completion time of a cloud service control, statistical methods, such as moving average and variance, are applied to history information of completion time of previous control requests for the same or similar services. Using the statistical methods, the request validation function calculates a probability distribution for completion of service control at a given time.
+
+- generating a service control checking period which is the duration of time of one cycle for checking status of the service;
+
+NOTE 2 – The service control checking periods are determined by a probability distribution. The request validation function sets the number of checking for completion of a service controls for each time interval based on the probability distribution, and the number of checks is converted into the service control status checking period. Therefore, the request validation function increases the frequency of checking status of service when the probability of service control completion is high and decreases the frequency when the probability of service control completion is low.
+
+- storing the history information of required time for completing cloud service controls and cloud service control status validation results.
+
+# 8 CSB functional architecture
+
+Figure 8-1 shows the CSB functional architecture.
+
+
+
+Y.3536(22)
+
+| | | | |
+|----------|------------------------------------------------|----------|------------------------------------------------------|
+| UM-FG: | User access management function group | CSAM-FG: | Cloud service agreement management function group |
+| UIM-F: | User interface management function | SM-F: | SLA management function |
+| UAM-F: | User account management function | SDM-F: | SLA document management function |
+| UAUTH-F: | User authentication and authorization function | BM-F: | Business management function |
+| PCM-FG: | Product catalogue management function group | CSC-F: | Cloud service configuration function |
+| CSR-F: | Cloud service registration function | SC-FG: | Service control function group |
+| CSD-F: | Cloud service deregistration function | RD-F: | Request delivering function |
+| CSS-F: | Cloud service search function | RV-F: | Request validation function |
+| CSRM-F: | Cloud service requirement management function | CSAM-F: | Cloud service access information management function |
+| | | CSM-F: | Cloud service monitoring function |
+
+Figure 8-1: CSB functional architecture diagram. The diagram shows four main function groups: PCM-FG, UM-FG, CSAM-FG, and SC-FG. PCM-FG contains CSR-F, CSD-F, CSRM-F, and CSS-F. UM-FG contains UAM-F, UAUTH-F, and UIM-F. CSAM-FG contains SDM-F, SM-F, BM-F, and CSC-F. SC-FG contains CSAM-F, RD-F, CSM-F, and RV-F. Interactions are shown with labeled arrows: I\_UAM\_UAUTH, I\_UIM\_CSR, I\_UIM\_CSD, I\_UIM\_CSRM, I\_UIM\_RD, I\_CSAM\_UIM, I\_RD\_CSAM, I\_BM\_UIM, I\_SM\_UIM, I\_CSM\_UIM, I\_CSM\_SM, I\_CSM\_BM, I\_CSRM\_SM, I\_CSRM\_CCS, I\_SM\_RD, I\_SDM\_BM, I\_SDM\_SM, I\_SM\_CSC, and I\_RD\_RV. A legend at the bottom defines the function groups and individual functions.
+
+**Figure 8-1 – CSB functional architecture**
+
+The CSB functional architecture comprises four function groups of user access management function group (UM-FG), product catalogue management function group (PCM-FG), cloud service agreement management function group (CSAM-FG), and service control function group (SC-FG), which correspond with clause 7.1 to clause 7.4, respectively.
+
+The CSB functions within each function group are defined in clause 7. The CSB functions have the relationships (see Appendix II) and interact with each other by the reference points depicted in the Figure 8-1.
+
+### 8.1 CSB function groups
+
+The UM-FG comprises three functions: user interface management function (UIM-F), user account management function (UAM-F), and user authentication and authorization function (UAUTH-F). The UM-FG interacts with PCM-FG, CSAM-FG, and SC-FG.
+
+The PCM-FG comprises four functions: cloud service registration function (CSR-F), cloud service deregistration function (CSD-F), cloud service search function (CSS-F), and cloud service requirement management function (CSRM-F). The PCM-FG interacts with UM-FG and CSAM-FG.
+
+The CSAM-FG comprises four functions: SLA management function (SM-F), SLA document management function (SDM-F), business management function (BM-F), and cloud service configuration function (CSC-F). The CSAM-FG interacts with UM-FG, FCM-FG and SC-FG.
+
+The SC-FG comprises four functions: request delivering function (FD-F), request validation function (RV-F), cloud service access information management function (CSAM-F), and cloud service monitoring function (CSM-F). The SC-FG interacts with UM-FG and CSAM-FG.
+
+## **8.2 Reference points**
+
+### **8.2.1 Reference points between PCM-FG and UM-FG**
+
+The reference points between PCM-FG and UM-FG are summarized as follows:
+
+- I\_UIM\_CSR reference point between UIM-F and CSR-F. Registration information for registering CSP's cloud services to the CSB product catalogue is delivered through this reference point.
+- I\_UIM\_CSD reference point between UIM-F and CSD-F. Through this reference point, UIM-F requests deregistering cloud services from the CSB product catalogue by transferring deregistration control actions.
+- I\_UIM\_CSRM reference point between UIM-F and CSRM-F. Through this reference point, UIM-F requests searching or deploying cloud services with the associated CSC's requirements.
+
+### **8.2.2 Reference points between CSAM-FG and UM-FG**
+
+The reference points between CSAM-FG and UM-FG are summarized as follows:
+
+- I\_BM\_UIM reference point between BM-F and UIM-F. Subscription information for a cloud service is delivered through this reference point. Invoice for the usage of a cloud service is also delivered from BM-F to UIM-F through this reference point.
+- I\_SM\_UIM reference point between SM-F and UIM-F. Notifications for failures to meet the terms of the cloud SLA and remedies regarding the cloud SLA are delivered from SM-F to UIM-F through this reference point.
+
+### **8.2.3 Reference points between SC-FG and UM-FG**
+
+The reference points between SC-FG and UM-FG are summarized as follows:
+
+- I\_UIM\_RD reference point between UIM-F and request delivering function (RD-F). Through this reference point, UIM-F requests control actions for cloud services.
+- I\_CSM\_UIM reference point between CSM-F and UIM-F. Monitoring information is delivered from CSM-F to UIM-F through this reference point.
+- I\_CSAM\_UIM reference point between CSAM-F and UIM-F. Access information of the cloud services is delivered from CSAM-F to UIM-F through this reference point.
+
+#### **8.2.4 Reference points between PCM-FG and CSAM-FG**
+
+The reference point between PCM-FG and CSAM-FG is summarized as follows:
+
+- I\_CSRM\_SM reference point between CSRM-F and SM-F. CSC's requirement with cloud SLA information of the cloud service is delivered through this reference point.
+
+#### **8.2.5 Reference points between SC-FG and CSAM-FG**
+
+The reference points between SC-FG and CSAM-FG are summarized as follows:
+
+- I\_CSM\_SM reference point between CSM-F and SM-F. Monitoring information is delivered from CSM-F to SM-F through this reference point.
+- I\_CSM\_BM reference point between CSM-F and BM-F. Monitoring information is delivered from CSM-F to BM-F through this reference point.
+
+I\_SM\_RD reference point between SM-F and RD-F. cloud service initiation and control requests are delivered from SM-F to RD-F through this reference point.
+
+#### 8.2.6 Reference points within UM-FG
+
+The reference point within UM-FG is summarized as follows:
+
+I\_UAM\_UAUTH reference point between UAM-F and UAUTH-F. Through this reference point, UAM-F sends user access information for CSB user authentication and authorization.
+
+#### 8.2.7 Reference points within PCM-FG
+
+The reference point within PCM-FG is summarized as follows:
+
+I\_CSRM\_CCS reference point between CSRM-F and CSS-F. Through this reference point, CSRM-F sends CSC's requirement for searching cloud services in the CSB product catalogue.
+
+#### 8.2.8 Reference points within CSAM-FG
+
+The reference points within CSAM-FG are summarized as follows:
+
+I\_SDM\_SM reference point between SDM-F and SM-F. Requests to generate cloud SLA documents along with information for the service specifications and cloud SLO are delivered from SM-F to SDM-F through this reference point. Generated cloud SLA documents are delivered from SDM-F to SM-F through this reference point.
+
+I\_SDM\_BM reference point between SDM-F and BM-F. Information for agreed service price is delivered from SDM-F to BM-F through this reference point.
+
+I\_SM\_CSC reference point between SM-F and CSC-F. Information for a selected cloud service and its specification is delivered from SM-F to CSC-F through this reference point. Service manifests configured with specified elements are delivered from CSC-F to SM-F through this reference point.
+
+#### 8.2.9 Reference points within SC-FG
+
+The reference points within SC-FG are summarized as follows:
+
+I\_RD\_CSAM reference point between RD-F and CSAM-F. Access information of cloud services is delivered from RD-F to CSAM-F through this reference point.
+
+I\_RD\_CSM reference point between RD-F and CSM-F. Cloud service identifications and access information of cloud services for monitoring the services are delivered from RD-F to CSM-F through this reference point.
+
+I\_RD\_RV reference point between RD-F and RV-F. Identification, control request, target status, and the acknowledgement of cloud services for request validation are delivered from RD-F to RV-F through this reference point. Information for cloud service status verification is delivered from RV-F to RD-F through this reference point.
+
+# 9 Security considerations
+
+Security aspects for consideration within the cloud computing environment, are addressed by security challenges for the CSPs as described in [ITU-T X.1601]. In particular, [ITU-T X.1601] analyses security threats and challenges and describes security capabilities that could mitigate these threats and meet the security challenges.
+
+# Appendix I
+
+### Relationship between functional requirements and CSB functions
+
+(This appendix does not form an integral part of this Recommendation.)
+
+[ITU-T Y.3506] defines a total of 36 functional requirements. Table I.1 shows analysis of the key phrases and related CSB functions for each requirement in [ITU-T Y.3506].
+
+**Table I.1 – Relationship between functional requirements and CSB functions**
+
+| CSB local component in Y.3506 | CSB functional Req. in ITU-T Y.3506 | Key phrases | Related functions in this Recommendation |
+|--------------------------------------|------------------------------------------------|--------------------------------------------------------------------------------------|-------------------------------------------------|
+| Workspace | Authentication and authorization for workspace | authentication and authorization | User authentication and authorization |
+| | Account management | accounts of CSCs and CSPs | User account management |
+| | User interface for CSCs | user interface for CSCs to search, select, request, launch, monitor, manage, and pay | User interface management |
+| | User interface for CSPs | user interface for CSPs to register information | User interface management |
+| Product catalogue management | Registration of cloud service | registration of cloud services in the product catalogue | Cloud service registration |
+| | Cloud service deregistration | deregister the cloud services in a product catalogue | Cloud service deregistration |
+| | Automation of service deregistration | automatic cloud service deregistration | Cloud service deregistration |
+| | Notification of service deregistration | notification of the service deregistration to CSCs | Cloud service deregistration |
+| | Request for maintaining cloud service | request the related CSP to maintain the deregistered service | Cloud service deregistration |
+| | Providing cloud service requirement template | template for service requirement | Cloud service requirement management |
+| | Cloud service requirement validation | validation of the contents in cloud service requirement template | Cloud service requirement management |
+| | Cloud service search | searching a cloud service in the product catalogue | Cloud service search |
+| | Providing the best matched cloud service | best matched cloud services and information about the CSPs | Cloud service search |
+| | Cloud service alteration | alter registered services for cloud service | Cloud service registration |
+
+**Table I.1 – Relationship between functional requirements and CSB functions**
+
+| CSB local component in Y.3506 | CSB functional Req. in ITU-T Y.3506 | Key phrases | Related functions in this Recommendation |
+|--------------------------------------|-----------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------|
+| | | customization | |
+| | Cloud service substitution for integrated cloud service | provide alternative cloud services | Cloud service search |
+| | Equivalent cloud service selection | migrate to keep service equivalence after migration | Cloud service search |
+| Contract management | Cloud service charging | billing information to CSCs | Business management |
+| | Configuration of cloud service for contract | configure a cloud service through selecting elements | Cloud service configuration |
+| | Service level objectives (SLO) selection | selection of service level objectives to a CSC | SLA document management |
+| | SLA document management | generation of a SLA document according to the agreement to share the SLA document | SLA document management |
+| | SLA description model | SLA description model to describe terms and conditions | SLA document management |
+| | Remedies for failures to meet the terms of the SLA | agreed remedies for failures to meet the terms of the SLA | SLA management |
+| Cloud service access management | Delivering cloud service provision request | deliver the provisioning request to CSPs as requested by the CSC | Request delivering |
+| | Delivering cloud resource request | deliver the CSC's request for resources to a CSP | Request delivering |
+| | Access information forwarding | forward the access information | Cloud service access information management |
+| | Prohibiting access information storing | prohibiting of the access information for a cloud service not to open or store | Cloud service access information management |
+| Cloud service management | Cloud service SLA management | SLA management of running cloud service | SLA management |
+| | Cloud service monitoring | monitor the status of cloud services by using gathered monitoring information | Cloud service monitoring |
+| | Delivering request of cloud service control | deliver requests of control actions for a cloud service from a CSC to a CSP | Request delivering |
+| | Validation of result for request of cloud service control | validate the status of cloud service whether the status is changed correctly or not in accordance with the delivered request for a control action | Request validation |
+
+**Table I.1 – Relationship between functional requirements and CSB functions**
+
+| CSB local component in Y.3506 | CSB functional Req. in ITU-T Y.3506 | Key phrases | Related functions in this Recommendation |
+|--------------------------------------|-------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------|-------------------------------------------------|
+| | Initiation of validation | initiate cloud service control status validation only after the broker receives an acknowledgement | Request validation |
+| | Status checking period for validation | checking periods in service control status validation | Request validation |
+| | History of cloud service control status validation | manage history of validation results as well as required time for completing cloud service controls | Request validation |
+| | Notification of result for request of cloud service control | notification of the result of cloud service control to a CSC | Request validation |
+| | Detection of failures to meet the terms of the SLA | detect failures to meet the terms of the SLA through monitoring and to verify the service level | SLA management |
+| | Prevention of service termination during migration | postponing the termination of running cloud service until the broker verifies ready status of a new service | SLA management |
+
+## Appendix II
+
+### Relationship among CSB functions
+
+(This appendix does not form an integral part of this Recommendation.)
+
+Figure II.1 depicts the summary of the relationships among the CSB functions described in clause 7.1 through clause 7.4. The interaction with related information between two functions is represented as each link.
+
+
+
+The diagram illustrates the relationships among four main functional groups of the Cloud Service Broker (CSB):
+
+- User access management** (top group):
+ - Functions: User account management, User authentication and authorization, User interface management.
+ - Information flows: User access information to User authentication and authorization; Invoice, subscription from User authentication and authorization to User interface management; SLA documents/SLA notification from User interface management to User account management.
+- Product catalogue management** (middle group):
+ - Functions: Cloud service requirement management, Cloud service search, Cloud service registration, Cloud service deregistration.
+ - Information flows: Deploy request with CSC's requirement from Cloud service requirement management to Cloud service search; CSC's requirement from Cloud service search to Cloud service registration; Registration information from Cloud service registration to User interface management; Deregistration control action from Cloud service deregistration to User interface management.
+- Cloud service agreement management** (bottom-left group):
+ - Functions: SLA management, Cloud service configuration, SLA document management, Business management.
+ - Information flows: CSC's requirement from Cloud service requirement management to SLA management; Service configuration from SLA management to Cloud service configuration; Service spec/SLO from SLA management to SLA document management; SLA document from SLA document management to SLA management; Service price from SLA document management to Business management; Monitoring information from Cloud service monitoring to Business management.
+- Service control** (bottom-right group):
+ - Functions: Cloud service access information management, Request delivering, Request validation, Cloud service monitoring.
+ - Information flows: Access information from Cloud service access information management to Request delivering; Service ID/access information from Request delivering to Cloud service monitoring; Request for control action/resource from Cloud service access information management to Request validation; Service ID target status, ACK from Request validation to Request delivering; Service status verification information from Request validation to Cloud service monitoring; Monitoring information from Cloud service monitoring to Request validation.
+
+**Legend:**
+
+- Group of functions: Represented by a rounded rectangle.
+- Function: Represented by a rectangle.
+- Information flow: Represented by an arrow.
+
+Y.3536(22)
+
+Figure II.1: Relationship among CSB functions. A complex flowchart showing four main functional groups: User access management, Product catalogue management, Cloud service agreement management, and Service control. Each group contains several sub-functions with interconnecting information flows.
+
+Figure II.1 – Relationship among CSB functions
+
+## Appendix III
+
+### Relationship between CSB functions and functional components of cloud computing reference architecture
+
+(This appendix does not form an integral part of this Recommendation.)
+
+The cloud computing reference architecture [ITU-T Y.3502] provides an architectural framework that is effective for describing the cloud computing roles, sub-roles, cloud computing activities, cross-cutting aspects, as well as functional components of cloud computing.
+
+The functional architecture for cloud service brokerage follows the architectural framework of [ITU-T Y.3502], and in the meantime, extends the functions and functional components of [ITU-T Y.3502] to satisfy the functional requirements of CSB [ITU-T Y.3506]. The mapping relationship between functions in CSB and functional components in cloud computing reference architecture is shown in Figure III.1.
+
+
+
+The diagram illustrates the relationship between CSB functions and functional components of the cloud computing reference architecture. It is organized into four layers on the left and a large block of Multi-layer functions on the right.
+
+**Layers (Left):**
+
+- User layer:** Contains User function, Business function, and Administrator function, each with a corresponding User interface management component.
+- Access layer:** Contains Access control and Connection management.
+- Service layer:** Contains Service capabilities, Business capabilities, and Administration capabilities, with a Service orchestration component.
+- Resource layer:** Contains Resource abstraction and control and Physical resources.
+
+**Multi-layer functions (Right):**
+
+- Integration:** Security integration, Monitoring integration, Service integration, Peer service integration.
+- Security systems:** Authentication and identity management (with User authentication and authorization), Authorization and security policy management (with User authentication and authorization), Encryption management.
+- OSS:** Service catalogue, Monitoring and reporting, Cloud service monitoring, Service automation, Incident and problem management, Platform and virtualization management, Provisioning (Request delivering, Request validation), Service policy management, Service level management (SLA management, SLA document management), Peer service management, Cloud service configuration management, Cloud service access information management.
+- BSS:** Product catalogue (Cloud service registration, Cloud service deregistration, Cloud service search, Cloud service requirement management), Account management (User account management), Subscription management, Billing (Business management), Accounts.
+- Development function:** Developer environment, Build management, Test management.
+
+**Legend (Bottom):**
+
+- Functional component in ITU-T Y.3502 (Grey)
+- User access management functions (Blue)
+- Product catalogue management functions (Yellow)
+- Cloud service agreement management functions (Pink)
+- Service control functions (Purple)
+
+Y.3536(22)
+
+Figure III.1: Relationship between functions in cloud service brokerage and functional components in cloud computing reference architecture. The diagram shows four layers on the left (User, Access, Service, Resource) and a large block of Multi-layer functions on the right, categorized into Integration, Security systems, OSS, BSS, and Development function. A legend at the bottom maps colors to functional components in ITU-T Y.3502.
+
+**Figure III.1 – Relationship between functions in cloud service brokerage and functional components in cloud computing reference architecture**
+
+The user access management functions of CSB correspond to and extend the user layer, security systems, and account management functional component of cloud computing reference architecture.
+
+The product catalogue management functions of CSB correspond to and extend the product catalogue functional component of cloud computing reference architecture.
+
+The cloud service agreement management functions of CSB correspond to and extend the service level management, peer service management, and billing functional component of cloud computing reference architecture.
+
+The service control functions of CSB correspond to and extend the provisioning, monitoring and report, and peer service management functional component of cloud computing reference architecture.
+
+# Bibliography
+
+- [b-ITU-T Y.3500] Recommendation ITU-T Y.3500 (2014), *Information technology – Cloud computing – Overview and vocabulary*.
+- [b-ISO/IEC 19086-1] ISO/IEC 19086-1:2016, *Information technology – Cloud computing – Service Level Agreement (SLA) framework – Part 1: Overview and concepts*.
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+I n t e r n a t i o n a l T e l e c o m m u n i c a t i o n U n i o n
+
+# ITU-T
+
+TELECOMMUNICATION
+STANDARDIZATION SECTOR
+OF ITU
+
+# Y.3651
+
+(12/2018)
+
+SERIES Y: GLOBAL INFORMATION
+INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS,
+NEXT-GENERATION NETWORKS, INTERNET OF
+THINGS AND SMART CITIES
+
+Cloud Computing
+
+# --- **Big-data-driven networking – mobile network traffic management and planning**
+
+Recommendation ITU-T Y.3651
+
+
+
+The logo of the International Telecommunication Union (ITU) is located in the bottom right corner. It features a blue globe with two red lightning bolts striking it. To the right of the globe, the text 'ITU' is written in a large, bold, blue font, and below it, the words 'International Telecommunication Union' are written in a smaller, blue font.
+
+ITU logo: A blue globe with red lightning bolts and the text 'ITU International Telecommunication Union'.
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+## GLOBAL INFORMATION INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS, NEXT-GENERATION NETWORKS, INTERNET OF THINGS AND SMART CITIES
+
+## GLOBAL INFORMATION INFRASTRUCTURE
+
+| | |
+|-------------------------------------------|-------------|
+| General | Y.100–Y.199 |
+| Services, applications and middleware | Y.200–Y.299 |
+| Network aspects | Y.300–Y.399 |
+| Interfaces and protocols | Y.400–Y.499 |
+| Numbering, addressing and naming | Y.500–Y.599 |
+| Operation, administration and maintenance | Y.600–Y.699 |
+| Security | Y.700–Y.799 |
+| Performances | Y.800–Y.899 |
+
+## INTERNET PROTOCOL ASPECTS
+
+| | |
+|--------------------------------------------------------------------|---------------|
+| General | Y.1000–Y.1099 |
+| Services and applications | Y.1100–Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200–Y.1299 |
+| Transport | Y.1300–Y.1399 |
+| Interworking | Y.1400–Y.1499 |
+| Quality of service and network performance | Y.1500–Y.1599 |
+| Signalling | Y.1600–Y.1699 |
+| Operation, administration and maintenance | Y.1700–Y.1799 |
+| Charging | Y.1800–Y.1899 |
+| IPTV over NGN | Y.1900–Y.1999 |
+
+## NEXT GENERATION NETWORKS
+
+| | |
+|-------------------------------------------------------------------|---------------|
+| Frameworks and functional architecture models | Y.2000–Y.2099 |
+| Quality of Service and performance | Y.2100–Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200–Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250–Y.2299 |
+| Enhancements to NGN | Y.2300–Y.2399 |
+| Network management | Y.2400–Y.2499 |
+| Network control architectures and protocols | Y.2500–Y.2599 |
+| Packet-based Networks | Y.2600–Y.2699 |
+| Security | Y.2700–Y.2799 |
+| Generalized mobility | Y.2800–Y.2899 |
+| Carrier grade open environment | Y.2900–Y.2999 |
+| FUTURE NETWORKS | Y.3000–Y.3499 |
+
+## **CLOUD COMPUTING**
+
+**Y.3500–Y.3999**
+
+## INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES
+
+| | |
+|---------------------------------------------------------|---------------|
+| General | Y.4000–Y.4049 |
+| Definitions and terminologies | Y.4050–Y.4099 |
+| Requirements and use cases | Y.4100–Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250–Y.4399 |
+| Frameworks, architectures and protocols | Y.4400–Y.4549 |
+| Services, applications, computation and data processing | Y.4550–Y.4699 |
+| Management, control and performance | Y.4700–Y.4799 |
+| Identification and security | Y.4800–Y.4899 |
+| Evaluation and assessment | Y.4900–Y.4999 |
+
+*For further details, please refer to the list of ITU-T Recommendations.*
+
+## Recommendation ITU-T Y.3651
+
+# Big-data-driven networking – mobile network traffic management and planning
+
+## Summary
+
+In a mobile network, a great deal of traffic data which reflects the real status of the mobile network and customers' actual experience is generated all the time. Based on the big data generated from the mobile network more efficient management and reasonable planning of mobile networks can be achieved.
+
+In order to study related content, Recommendation ITU-T Y.3651 specifies some technology aspects related to big-data-driven networking – mobile network traffic management and planning. The scope of this Recommendation includes: requirements, framework, reference points, performance aspects and security considerations of big-data-driven networking – mobile network traffic management and planning.
+
+## History
+
+| Edition | Recommendation | Approval | Study Group | Unique ID* |
+|---------|----------------|------------|-------------|---------------------------------------------------------------------------|
+| 1.0 | ITU-T Y.3651 | 2018-12-14 | 13 | 11.1002/1000/13818 |
+
+## Keywords
+
+bDDN, mobile network traffic management, mobile network planning
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID. For example, .
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the TSB patent database at .
+
+© ITU 2019
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | | Page |
+|----|-------------------------------------------------------------------------------------------------------|-------------|
+| 1 | Scope..... | 1 |
+| 2 | References..... | 1 |
+| 3 | Definitions ..... | 1 |
+| | 3.1 Terms defined elsewhere..... | 1 |
+| | 3.2 Terms defined in this Recommendation..... | 1 |
+| 4 | Abbreviations and acronyms ..... | 1 |
+| 5 | Conventions ..... | 2 |
+| 6 | Introduction..... | 2 |
+| 7 | Requirements of big-data-driven networking - mobile network traffic management .. | 3 |
+| | 7.1 Data categories ..... | 3 |
+| | 7.2 Requirements related to data categories ..... | 4 |
+| | 7.3 Data collection methods ..... | 6 |
+| | 7.4 Requirements for big data pre-processing..... | 6 |
+| | 7.5 Requirements for unified traffic management items ..... | 6 |
+| 8 | Requirements of the big-data-driven networking - mobile network planning ..... | 8 |
+| | 8.1 Centralized management of base stations..... | 8 |
+| | 8.2 Requirement for the planning and construction of base station ..... | 8 |
+| | 8.3 Evaluating the effect of newly-built base stations..... | 9 |
+| 9 | Framework of big-data-driven networking – mobile network traffic management and planning..... | 9 |
+| 10 | Reference points of big-data-driven networking – mobile network traffic management and planning ..... | 11 |
+| 11 | Performance considerations..... | 11 |
+| 12 | Security considerations ..... | 12 |
+| | Appendix I – Use cases and scenarios ..... | 13 |
+| | I.1 Customer journey analysis ..... | 13 |
+| | I.2 Customer churn analysis..... | 13 |
+| | I.3 The evaluation and planning of the U900 base stations ..... | 14 |
+| | Bibliography..... | 15 |
+
+
+
+## Recommendation ITU-T Y.3651
+
+# Big-data-driven networking – mobile network traffic management and planning
+
+# 1 Scope
+
+This Recommendation specifies some technology aspects related to big-data-driven networking – mobile network traffic management and planning. The scope of this Recommendation includes: requirements, framework, reference points, performance and security considerations of big-data-driven networking – mobile network traffic management and planning.
+
+# 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+- [ITU-T Y.2770] Recommendation ITU-T Y.2770 (2012), *Requirements for deep packet inspection in next generation networks*.
+- [ITU-T Y.2771] Recommendation ITU-T Y.2771 (2014), *Framework for deep packet inspection*.
+- [ITU-T Y.3650] Recommendation ITU-T Y.3650 (2018), *Framework of big-data-driven networking*.
+
+# 3 Definitions
+
+### 3.1 Terms defined elsewhere
+
+This Recommendation uses the following term defined elsewhere:
+
+**3.1.1 big-data-driven networking (bDDN)** [ITU-T Y.3650]: Big-data-driven networking (bDDN) is a type of future network framework that collects big data from networks and applications, and generates big data intelligence based on the big data; it then provides big data intelligence to facilitate smarter and autonomous network management, operation, control, optimization and security, etc.
+
+### 3.2 Terms defined in this Recommendation
+
+None.
+
+# 4 Abbreviations and acronyms
+
+This Recommendation uses the following abbreviations and acronyms:
+
+- 2G Second Generation
+- 3G Third Generation
+- 4G Fourth Generation
+- API Application Programming Interface
+
+| | |
+|--------|------------------------------------------|
+| bDDN | big-Data-Driven Networking |
+| BSS | Business Support System |
+| CM | Configuration Management |
+| CN | Core Network |
+| CS | Circuit Switch |
+| DPI | Deep Packet Inspection |
+| GIS | Geographic Information System |
+| GPRS | General Packet Radio Service |
+| HTTP | Hypertext Transfer Protocol |
+| IM | Instant Message |
+| IMSI | International Mobile Subscriber Identity |
+| MME | Mobility Management Entity |
+| MNO | Mobile Network Operator |
+| MR | Measurement Report |
+| MSC | Mobile Switching Centre |
+| MSISDN | Mobile Station International ISDN Number |
+| PM | Performance Management |
+| PS | Packet Switch |
+| QoS | Quality of Service |
+| RAN | Radio Access Network |
+| RSCP | Received Signal Code Power |
+| RSRP | Reference Signal Receiving Power |
+| RSRQ | Reference Signal Receiving Quality |
+| UE | User Equipment |
+
+# 5 Conventions
+
+In this Recommendation:
+
+The keywords "is required to" indicate a requirement which must be strictly followed and from which no deviation is permitted if conformance to this document is to be claimed.
+
+The keywords "is recommended" indicate a requirement which is recommended but which is not absolutely required. Thus, this requirement need not be present to claim conformance.
+
+# 6 Introduction
+
+With the rapid development of mobile networks, customers who are acting as both users of mobile networks and generators of big data in mobile networks, are more and more sensitive to the quality of the mobile network. Mobile network operators (MNOs) need to enhance the traffic management, the sense of the experience of service provided for customers and accelerate the construction of mobile networks in areas which are short of network resources.
+
+Currently, MNOs are mostly achieving mobile network management by decentralized network management equipment. They can only monitor the volume of traffic which is carried on base
+
+stations in limited areas, but cannot monitor the whole base stations in one point. Also through the common network management equipment, they cannot know which service generates the traffic and who uses the traffic. In conclusion, the existing methods cannot fully understand the whole situation of a mobile network. In addition, they are unproductive and inefficient at analysing the traffic.
+
+In mobile network planning, traditional methods generally calculate the quantity and capacity of base stations according to the population size of an area and the corresponding measurement of traffic, choosing the base station location according to the drive test results and customers' complaint records. They seldom take the customers' actual experience in using services into consideration. This causes the problematic impression that the mobile network is sufficient as a whole, but in short supply in some areas. Briefly, the existing mobile network planning methods are unable to ensure the veracity and validity required for mobile network construction.
+
+In the mobile network, a great deal of traffic data both in the user and in the signal plane is generated all the time, which reflects the real status of mobile network itself and customers' actual experience when they are using services. Based on this information, more efficient management and reasonable planning of mobile networks could be achieved.
+
+Therefore, the question of how to drive mobile network traffic management and planning using big data related technologies should be considered.
+
+# **7 Requirements of big-data-driven networking - mobile network traffic management**
+
+In a mobile network, a great deal of traffic data is generated all the time. This data includes information related to users' behaviours, network control processes and the status of the network. By collecting and analysing big data, information the running status and real utilization of the mobile network itself and even users' real service experiences can be obtained. In addition, driven by this information mining from big data, comprehensive and efficient traffic management for the mobile network can be achieved. This clause specifies the requirements of big-data-driven networking – mobile network traffic management.
+
+### **7.1 Data categories**
+
+There are three categories for the data needed to be collected from the mobile network:
+
+- Signal data
+- Users' behaviour data
+- Common parameter data
+
+#### **7.1.1 Signal data**
+
+The signal data transfers over the mobile network, records the control processes and reflects the running status of the mobile network.
+
+Signal data comprises two aspects; signal data in the radio access network (RAN) and signal data in the control plane of the core network (CN).
+
+#### **7.1.2 Users' behaviour data**
+
+The users' behaviour data reveals the users' actual behaviour in the mobile network. This data provides insight into the true experience when users enjoy a service in the mobile network. The users' behaviour data is collected from the user plane of the CN.
+
+#### **7.1.3 Common parameter data**
+
+The common parameter data is the data representing the information of base stations and cells in the mobile network, describing the application information and the users' information. It can be correlated with the users' behaviour data and the signal data.
+
+### 7.2 Requirements related to data categories
+
+The scopes and sources for different categories of data are required as follows:
+
+#### 7.2.1 Signal data
+
+##### 7.2.1.1 Signal data in the RAN
+
+There are three types of signal data in the RAN. They can be collected from network management and control elements.
+
+###### 1) Performance Measurement (PM) data
+
+PM data records performance information of a mobile network.
+
+It is recommended to collect the PM data, such as call drop rate, handover success rate and so on.
+
+Details about PM data can be found in [b-3GPP TS32.401].
+
+###### 2) Configuration management (CM) data
+
+CM data records configuration information of a mobile network. It is helpful for providing overview information on a mobile network.
+
+It is recommended to collect CM data.
+
+Details about CM data can be found in [b-3GPP TS32.106].
+
+###### 3) Measurement report (MR) data
+
+MR data measures the intensity and quality of current serving or neighbouring cells, reported to the mobile network by user equipment (UE).
+
+It is required to collect MR data, including reference signal receiving power (RSRP) and reference signal receiving quality (RSRQ) data.
+
+Details about the MR data can be found in [b-3GPP TS25.111].
+
+##### 7.2.1.2 Signal data in the core network
+
+The signal data in the core network is collected from the control plane and scatters into different interfaces as shown in Figure 7-1.
+
+
+
+```
+graph TD
+ eNodeB[4G eNodeB] --- S1-MME[MME]
+ eNodeB --- S1-U[SGW/PGW]
+ MME --- S6a[HSS]
+ MME --- S11[SGW/PGW]
+ SGWPGW[SGW/PGW] --- S-Gs[MSC]
+ MSC --- Mc[MGW]
+ MGW --- Iu-PS[SGSN]
+ SGSN --- Gb[BSC]
+ SGSN --- Gn[GGSN]
+ BSC --- Iu-CS[RNC]
+ RNC --- Iu-PS[MGW]
+ BSC --- A[MGW]
+```
+
+Figure 7-1: Interfaces between network elements in mobile network. The diagram shows a hierarchical network structure. At the top is the 4G eNodeB, connected to the MME via S1-MME and to the SGW/PGW via S1-U. The MME is connected to the HSS via S6a and to the SGW/PGW via S11. The SGW/PGW is connected to the MSC via S-Gs. The MSC is connected to the MGW via Mc. The MGW is connected to the SGSN via Iu-PS. The SGSN is connected to the BSC via Gb and to the GGSN via Gn. The BSC is connected to the RNC via Iu-CS. The RNC is connected to the MGW via Iu-PS. The BSC is also connected to the MGW via interface A. The diagram is labeled Y.3651(18)\_F7-1.
+
+**Figure 7-1 – Interfaces between network elements in mobile network**
+
+- For second generation (2G) networks, it is required to collect signal data from interface A [b-3GPP TS43.903] and from interface Gb [b-3GPP TS29.060].
+
+- For third generation (3G) networks, it is required to collect signal data from interface Iu-CS [b-3GPP TS25.410] and interface Iu-PS [b-3GPP TS25.410].
+- For fourth generation (4G) networks, it is required to collect signal data from interface S1-MME [b-3GPP TS36.413], interface S6a [b-3GPP TS29.272], interface SGs [b-3GPP TS29.118] and interface S10 [b-3GPP TS29.274].
+
+It is required that collected signal data in CN includes but is not limited to: who are the users, the network type (2/3/4G), the location in the mobile network (which cell), the signalling procedure type, the start and end time of the signalling procedure, the time delay of the signalling procedure, the result of the signalling procedure (success or fail) and the reason why if the signalling procedure fails.
+
+#### **7.2.2 Users' behaviour data**
+
+It is required to choose main services both in packet switch (PS) and circuit switch (CS) domains to monitor the users' behaviour.
+
+For the PS domain the data is collected through the Gn/S1-U interface [b-3GPP TS29.060] and the S1-U interface [b-3GPP TS36.413], including but not limited to: who are the users, when, where and what they are doing on the Internet, how much traffic they consume and what the result is.
+
+For the CS domain the data is collected through a mobile switching centre (MSC) in CN, including but not limited to: who are the users, when, where and to whom they are using voice call, how long the voice call lasts and what the result is.
+
+#### **7.2.3 Common parameter data**
+
+##### **7.2.2.1 Common parameters in networks**
+
+Common parameter data in networks mainly includes the distribution of base transceiver stations and cell key parameters. Users' behaviour data and signal data should be computed for every cell according to a set of indexes which can represent the running status of the mobile network. For base transceiver stations these indexes can be summarized by their own cells.
+
+It is required to collect data items such as the cell information, the base station which the cell belongs to, the network type, the location of the base station (i.e. the longitude and the latitude of the base station or the administrative region that the base station belongs to).
+
+##### **7.2.2.2 Common parameters in applications**
+
+Common parameter data in applications mainly includes the classification and names of applications that users enjoy. Users' behaviour data and signal data should be computed for every application classification or popular application according to a group of indexes which can represent the service sensing. For every cell or base transceiver station these indexes can be summarized by users' accesses.
+
+##### **7.2.2.3 Common parameters in users**
+
+Common parameter data in users mainly includes the mobile station international ISDN number (MSISDN) and the terminals they use. The users' behaviour data and signal data should be computed for every place the MSISDN belongs to or the terminal type that users have according to a group of indexes which can represent the users' experience in the network and service. For every cell or base transceiver station these indexes can be summarized by users' accesses.
+
+It is required to collect data items such as the user identity, the MSISDN, the international mobile subscriber identity (IMSI) and the terminal information, i.e. the terminal brand, the terminal model, the terminal operating system.
+
+### 7.3 Data collection methods
+
+There are different methods to collect different data categories.
+
+The users' behaviour data is collected by deep packet inspection (DPI) from the Gn/S1-U interface. For information on DPI requirements, see [ITU-T Y.2770] and for information on the DPI framework, see [ITU-T Y.2771].
+
+The signal data in the RAN is collected from network management elements through files and the signal data in CN is collected by DPI from the corresponding interfaces.
+
+The common parameter data is collected from external databases.
+
+### 7.4 Requirements for big data pre-processing
+
+The data collected through different methods is stored in files, messages, queues or databases. Before analysis and storage, the data needs to be pre-processed. There are three stages of data pre-processing; data extraction, data transformation and data load.
+
+In the data extraction stage, it is required to extract data from heterogeneous sources, using professional tools or application programming interfaces (APIs).
+
+In the data transformation stage, it is required to judge the validity and integrity of data, as well as error correction aiming at certain fields, standardize data structures according to the demands of services and merge and summarize data in records and files.
+
+In the data load stage, the data which has been pre-processed is loaded to target data warehouses.
+
+### 7.5 Requirements for unified traffic management items
+
+When the collected data has been pre-processed and stored in a big data platform, it is required to analyse a set of items for unified traffic management. There are two computing patterns; real-time stream processing and off-line batch processing. Based on the result data of these computing patterns, we can sense the quality of service (QoS) in the mobile network.
+
+#### 7.5.1 Real-time stream processing items
+
+Real-time stream processing data items are required to compute all of the time for multiple dimensions for as long as the data from the mobile network is collected.
+
+It is required, to but not limited to, process items as follows:
+
+- Number of users
+
+It is required to calculate the number of users registered to the mobile network and the number of users using a service in real time for multiple dimensions, such as numbers in different cells and in different base stations, numbers in different network types, numbers in different administrative regions and numbers in different network types.
+
+- Traffic
+
+It is required to calculate the total traffic, uplink traffic and downlink traffic in a mobile network in real-time for multiple dimensions, such as traffic in different cells, traffic in different base stations, traffic in different administrative regions, traffic in different network types, traffic of different applications and traffic of different users.
+
+- Internet speed
+
+It is required to calculate Internet speed in a mobile network in real-time for different dimensions, such as Internet speed of different cells, speed of different base stations, Internet speed of different administrative regions, Internet speed of different network types, speed of different applications and speed of different users.
+
+#### 7.5.2 Off-line batch processing items
+
+Off-line batch processing items are required to analyse for multiple dimensions at regular intervals, such as daily, weekly, monthly and annually.
+
+It is required to, but not limited to, process items as follows:
+
+- Average number of users
+
+It is required to analyse the average number of users in a mobile network offline at different intervals.
+
+- i) Average number of users registered to the mobile network
+
+It is required to calculate the average number of mobile network registered users at different intervals in different dimensions, such as the average number of network registered users in different cells, the average number of network registered users in different base stations, the average number of network registered users in different administrative regions, the average number of network registered users of different network types and the average number of network registered users of different applications.
+
+- ii) Average number of services being used
+
+It is required to calculate the average number of users using services at different time intervals and in the same various dimensions as for the number of users registered to the mobile network.
+
+- iii) Average number of resident users
+
+It is required to calculate the average number of resident users at different intervals in different dimensions as the same as the mobile network registered users' number.
+
+- Average of traffic
+
+It is required to calculate the average of traffic, the average of download traffic, the average of upload traffic at different intervals in different dimensions, such as the average traffic in different cells, the average traffic in different base stations, the average traffic in different administrative regions, the average traffic of different network types, the average traffic of different applications and the average traffic of different users.
+
+- Average of Internet speed
+
+It is required to calculate the average of Internet speed in a mobile network offline at different intervals in different dimensions as the same as the average traffic.
+
+#### 7.5.3 QoS monitoring in mobile network
+
+Besides calculating the traffic and speed of a mobile network, it is required to monitor the QoS according to the processed items listed in clause 7.5.2.
+
+It is required to monitor QoS for services and services' classification, including PS domain and CS domain.
+
+It is required to define exclusive QoS indexes and modules for every service and classification.
+
+NOTE – For different services, the evaluating indexes of QoS are not the same. For example, the hypertext transfer protocol (HTTP) services (traffic, speed, interval between request and response, etc.), the instant message (IM) services (success rate of log on, sending and receiving messages, etc.), the streaming services (buffer time, frequency of lagging, etc.)
+
+It is required to monitor QoS in different dimensions as the same as the average traffic.
+
+# **8 Requirements of the big-data-driven networking - mobile network planning**
+
+### **8.1 Centralized management of base stations**
+
+#### **8.1.1 Centralized maintenance of base stations information**
+
+It is required to gather and maintain the information of the base stations in a centralized point.
+
+NOTE – The information is the users' behaviour data, the signal data, the common parameters data and the result data of the real-time and off-line task and the QoS sensing result.
+
+It is required to support centralized management of information including users' behaviour data, the signal data, the common parameters data and the result data of the real-time and off-line task, and the QoS sensing result as well as adding, updating, deleting and querying of this information.
+
+It is required to detect missing information automatically.
+
+##### **8.1.1.1 Requirement of information illustration**
+
+It is required to present the information in different types, including but not limited to charts, report forms and geographic information system (GIS) maps.
+
+It is required to display the information of the base stations in different scales.
+
+It is required to highlight the base stations in abnormal state according to the metric set in advance
+
+#### **8.1.2 Centralized monitoring for base stations' running status**
+
+It is required to support centralized monitoring for base stations' running status based on the information.
+
+It is required to obtain the running status from users' behaviour data which is generated under base stations.
+
+#### **8.1.3 Checking abnormal base stations**
+
+It is required to check the error conditions of base stations.
+
+It is required to check base stations and cells which are in use or not. For those that are not in use, it is required to compute lasting intervals and analyse whether they are abnormal or not.
+
+It is required to check whether the traffic could belong to a base station or not. For traffic that could not belong to a base station, it is required to check the base station information which occurred in users' behaviour data.
+
+It is required to manage abnormal base stations and correct their error conditions.
+
+NOTE – The abnormal base station state mainly includes the cases of missing information, information that changes dramatically, etc.
+
+### **8.2 Requirement for the planning and construction of base station**
+
+In traditional mobile network planning, the base station is usually planned according to the customer complaints and the drive test data. This data cannot reflect the customers' perception when they enjoy the mobile network service.
+
+The signal data and the users' behaviour data collected from the mobile network, the result data of the real-time and off-line processing and the QoS sensing data reflect the status of the mobile network and the customers' perception. By taking these data into account, mobile network operators are able to make better decisions about where to construct base stations.
+
+In addition, mobile network planning needs take the economic benefits into account. With limited resources, base stations are built in areas where they can yield more benefit priority. This can be achieved by considering user consumption information.
+
+It is required to collect the users' personal data from a business support system (BSS), such as the users' grade, the user pricing package, etc.
+
+With the information of the base stations, it is required able to make models that can sense the users' experience.
+
+It is required for the models to sense the users under one base station, but it is also required to reflect the whole mobile network base on the users' experience.
+
+It is required for the models to correlate the users' experience and the performance of the mobile network itself.
+
+It is required for the models to take the users' grade into account.
+
+It is recommended for the models to reflect the proportion of different types of data service.
+
+When existing base stations cannot guarantee the demand of the users, it is required for the models to indicate the sites where the mobile network is insufficient or badly adapted.
+
+It is required for the models to be able to calculate where and how to construct a base station to satisfy the demand of the users.
+
+It is required for the models to be able to predict the trend of the traffic.
+
+Based on the models that reflect the users' experience when they enjoy a mobile network service, a mobile network similar to the users' actual demands can be constructed.
+
+### **8.3 Evaluating the effect of newly-built base stations**
+
+It is required to evaluate the effects of newly-built base stations.
+
+It is required to select already operating base stations with similar locations, network types and configurations.
+
+It is required to compare the information between the newly-built stations and the already operating base stations and draw conclusions on the effect of newly-built base stations according to reasonable models or algorithms.
+
+It is required to support summaries of the effects of newly-built base stations in a certain area or construction period.
+
+# **9 Framework of big-data-driven networking – mobile network traffic management and planning**
+
+[ITU-T Y.3650] describes the general framework of bDDN. As is shown in [ITU-T Y.3650], the bDDN framework is made up of three planes, the big data plane, the management plane and the network plane. The framework described in this Recommendation is based on the general framework presented in [ITU-T Y.3650]. The framework described in this Recommendation focuses on the big data plane.
+
+The framework of big-data-driven networking – mobile network traffic management and planning is shown in Figure 9-1.
+
+
+
+| | | | |
+|---------------------------------------------|------------------------|---------------------|-----------------------|
+| Layer IV
Application | Mobile network planing | Other applications | |
+| Layer III
Data analysis | Real-time task | Off-line task | |
+| Layer II
Data pre-processing and storage | Data extraction | Data transformation | Data storage |
+| Layer I
Data collecting | Users' behaviour data | Signal data | Common parameter data |
+
+Y.3651(18)\_F9-1
+
+**Figure 9-1 – Framework of big-data-driven networking – mobile network traffic management and planning**
+
+## Layer I – Data collecting
+
+The data collecting layer collects the signal data both in RAN and CN, the users' behaviour data and the common parameter data.
+
+## Layer II – Data pre-processing
+
+The data pre-processing layer extracts, transforms and then loads the data to data warehouses for storage.
+
+## Layer III – Data analysis
+
+The data analysis layer has two main tasks, the real-time task and the off-line task. The real-time task computes data items for multiple dimensions as long as the data from the mobile network is collected. The off-line task computes data items for multiple dimensions at regular intervals. Besides the real-time and the off-line task, the QoS sensing task senses the experience of mobile network users based on the result data of the real-time and off-line task.
+
+## Layer IV – Application
+
+Many applications can be generated based on the result data of the data analysis layer. The big-data-driven networking - mobile network planning is one of these applications.
+
+# 10 Reference points of big-data-driven networking – mobile network traffic management and planning
+
+
+
+```
+graph LR; DC[Data collecting] --> DPP[Data pre-processing]; DPP -- C1 --> DT[real-time task]; DPP -- C2 --> DS[Data storage]; DS -- C3 --> DT; DS -- C4 --> OT[Off-line task]; DS -- C5 --> App[Application]; subgraph DA [Data analysis]; DT; OT; end
+```
+
+Y.3651(18)\_F10-1
+
+Figure 10-1: The main reference points of big-data-driven networking – mobile network traffic management and planning. The diagram shows a data flow from Data collecting to Data pre-processing, then to Data storage, and finally to Application. Data pre-processing also feeds into Data analysis (real-time task and Off-line task). Data storage feeds into Data analysis (Off-line task) and Application. Reference points C1, C2, C3, C4, and C5 are marked at various stages.
+
+**Figure 10-1 – The main reference points of big-data-driven networking – mobile network traffic management and planning**
+
+The main reference points of the big-data-driven networking – mobile network traffic management and planning system are shown in Figure 10-1, the details about the reference points are presented as follows:
+
+- Reference point C1: After been pre-processed, the collected data is sent to message queues to compute a set of items for multiple dimensions in real time.
+- Reference point C2: The pre-processed data is stored in a distributed file system for off-line computing and further operations.
+- Reference point C3: The pre-processed data stored in distributed file system is sent to an off-line batch processing module to be analysed for multiple dimensions at regular intervals.
+- Reference point C4: The result data of both the real-time task and the off-line task is sent to the distributed file system for storage and further operations.
+- Reference point C5: The interface between the stored traffic data and applications. One of the applications, the base station management system, can detect and fulfil the loss of base station information automatically via C5.
+
+# 11 Performance considerations
+
+It is required to consider performance in the stages of data collecting, data transmission, data pre-processing, data storage and real-time data processing.
+
+In the data collecting stage, there are some performance requirements:
+
+- It is recommended to guarantee the completeness and accuracy rate in parsing the signal data and the users' behaviour data.
+- It is recommended to guarantee the filling rate parsed records of the signal data and the users' behaviour data.
+- It is recommended to guarantee the accuracy rate for users' service using information through parsing the users' behaviour data.
+
+In the data transmission stage, there are some performance requirements.
+
+- It is recommended to reduce the losing rate of the signal data and the users' behaviour data which is transferred from data collecting equipment to the centralized system.
+- It is recommended to guarantee the timeliness for transferring data from data collecting equipment to the centralized system.
+
+In the data pre-processing and real-time data processing stage, it is required to maintain high-throughput.
+
+In the data storage stage, it is recommended to control the time of loading into a dataset and the number of data replications.
+
+In the real-time data processing stage, it is recommended to consider the efficiency.
+
+# **12 Security considerations**
+
+When using big-data-driven networking - mobile network traffic management and planning, security best practices should be adopted such as authentication, authorization and access control.
+
+# Appendix I
+
+## Use cases and scenarios
+
+(This appendix does not form an integral part of this Recommendation.)
+
+This clause describes use cases and scenarios.
+
+### I.1 Customer journey analysis
+
+| Use case | |
+|-----------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Name | Customer journey analysis |
+| Description | Based on big data collected from mobile network traffic, it can support customer journey analysis. Real-time analytics that map the user journey and generates actionable insights that can allow operators to respond quickly with a "next-best offer" and convert interested prospects into customers. Data such as customer demographics and clickstreams are being combined with attributes such as location and content preferences for next best offers. This also enables commerce service providers to map specific customer's interactions with the network at various stages of the lifecycle to promote tailored offerings and campaigns. |
+| Roles | |
+| Figure | |
+| Pre-conditions (optional) | |
+| Post-conditions (optional) | |
+| Requirements | - – Users' behaviour data (refer to clause 7.2)
- – Real-time processing (refer to clause 7.5)
|
+
+### I.2 Customer churn analysis
+
+| Use case | |
+|-----------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Name | Customer churn analysis |
+| Description | Based on big data collected from mobile network traffic, it can support prediction of customer churn according to their quota and frequency of service using in mobile network. |
+| Roles | |
+| Figure | |
+| Pre-conditions (optional) | |
+| Post-conditions (optional) | |
+| Requirements | - – Users' behaviour data (refer to clause 7.2)
- – Off-line data process (refer to clause 7.5)
|
+
+### I.3 The evaluation and planning of the U900 base stations
+
+| Use case | |
+|----------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Name | The evaluation and planning of the U900 base stations |
+| Description | The U2100 base stations are 3G base stations deployed in the 2100MHz band and the U900 are base stations deployed in the 900MHz band. The 900 can provide superior coverage compared to U2100. To evaluate the effect of the U900 in the real scenes, the MR data before and after the deployment of the U900 base stations in one particular area are collected. Figure I.1 shows the received signal code power (RSCP) before and after the deployment of the U900 base stations. In this figure, the coverage levels are distinguished by different colours. We can see that through the deployment of the U900 base stations, the coverage of the mobile network has apparently been improved. In the future construction of the mobile network, the U900 can be used to improve the coverage.
|
+| Roles | |
+| Figure |
|
+| Pre-conditions (optional) | |
+| Post-conditions (optional) | |
+| Requirements | - – MR data (refer to clause 7.1 and 7.2)
- – Information illustration (refer to clause 8.1)
- – Base station evaluating (refer to clause 8.3)
|
+
+## Bibliography
+
+- [b-3GPP TS25.111] 3GPP TR25.111 (2014), *Location Measurement Unit (LMU) performance specification; User Equipment (UE) positioning in UTRAN (Release 11)*.
+- [b-3GPP TS25.410] 3GPP TR25.410 (2012), *UTRAN Iu interface: General aspects and principles (Release 11)*.
+- [b-3GPP TS29.060] 3GPP TR29.060, *General Packet Radio Service (GPRS); GPRS Tunnelling Protocol (GTP) across the Gn and Gp interface (Release 11)*.
+- [b-3GPP TS29.274] 3GPP TR29.274 (2017), *3GPP Evolved Packet System (EPS); Evolved General Packet Radio Service (GPRS) Tunnelling Protocol for Control plane (GTPv2-C); Stage 3 (Release 11)*.
+- [b-3GPP TS32.106] 3GPP TR32.106 (2015), *Telecommunication management; Configuration Management (CM); Part 1: Concept and requirement (Release 11)*.
+- [b-3GPP TS32.401] 3GPP TR32.401 (2012), *Telecommunication management; Performance Management (PM); Concept and requirement (Release 11)*.
+- [b-3GPP TS36.413] 3GPP TR36.413 (2015), *Evolved Universal Terrestrial Radio Access Network (E-UTRAN); S1 Application Protocol (S1AP) (Release 11)*.
+
+
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+# Recommendation
+
+## **ITU-T Y.3656 (06/2023)**
+
+SERIES Y: Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+Big Data
+
+---
+
+**Big data driven networking – mechanism of network service provisioning**
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+# Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+| | |
+|--------------------------------------------------------------------|----------------------|
+| GLOBAL INFORMATION INFRASTRUCTURE | Y.100-Y.999 |
+| General | Y.100-Y.199 |
+| Services, applications and middleware | Y.200-Y.299 |
+| Network aspects | Y.300-Y.399 |
+| Interfaces and protocols | Y.400-Y.499 |
+| Numbering, addressing and naming | Y.500-Y.599 |
+| Operation, administration and maintenance | Y.600-Y.699 |
+| Security | Y.700-Y.799 |
+| Performances | Y.800-Y.899 |
+| INTERNET PROTOCOL ASPECTS | Y.1000-Y.1999 |
+| General | Y.1000-Y.1099 |
+| Services and applications | Y.1100-Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200-Y.1299 |
+| Transport | Y.1300-Y.1399 |
+| Interworking | Y.1400-Y.1499 |
+| Quality of service and network performance | Y.1500-Y.1599 |
+| Signalling | Y.1600-Y.1699 |
+| Operation, administration and maintenance | Y.1700-Y.1799 |
+| Charging | Y.1800-Y.1899 |
+| IPTV over NGN | Y.1900-Y.1999 |
+| NEXT GENERATION NETWORKS | Y.2000-Y.2999 |
+| Frameworks and functional architecture models | Y.2000-Y.2099 |
+| Quality of Service and performance | Y.2100-Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200-Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250-Y.2299 |
+| Enhancements to NGN | Y.2300-Y.2399 |
+| Network management | Y.2400-Y.2499 |
+| Computing power networks | Y.2500-Y.2599 |
+| Packet-based Networks | Y.2600-Y.2699 |
+| Security | Y.2700-Y.2799 |
+| Generalized mobility | Y.2800-Y.2899 |
+| Carrier grade open environment | Y.2900-Y.2999 |
+| FUTURE NETWORKS | Y.3000-Y.3499 |
+| CLOUD COMPUTING | Y.3500-Y.3599 |
+| BIG DATA | Y.3600-Y.3799 |
+| QUANTUM KEY DISTRIBUTION NETWORKS | Y.3800-Y.3999 |
+| INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES | Y.4000-Y.4999 |
+| General | Y.4000-Y.4049 |
+| Definitions and terminologies | Y.4050-Y.4099 |
+| Requirements and use cases | Y.4100-Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250-Y.4399 |
+| Frameworks, architectures and protocols | Y.4400-Y.4549 |
+| Services, applications, computation and data processing | Y.4550-Y.4699 |
+| Management, control and performance | Y.4700-Y.4799 |
+| Identification and security | Y.4800-Y.4899 |
+| Evaluation and assessment | Y.4900-Y.4999 |
+
+*For further details, please refer to the list of ITU-T Recommendations.*
+
+# Recommendation ITU-T Y.3656
+
+## Big data driven networking – mechanism of network service provisioning
+
+## Summary
+
+Compared with the traditional network, Recommendation ITU-T Y.3656 can provide better integration and more intelligent capabilities, such as the capabilities of self-optimization, self-configuration, and intelligent fault management, based on big data plane and its machine learning capabilities. This Recommendation can provide a significant enhancement to network service provisioning by using big data intelligence. This Recommendation specifies the network service provisioning mechanism in big data driven networking (bDDN).
+
+## History \*
+
+| Edition | Recommendation | Approval | Study Group | Unique ID |
+|---------|----------------|------------|-------------|--------------------|
+| 1.0 | ITU-T Y.3656 | 2023-06-22 | 13 | 11.1002/1000/15539 |
+
+## Keywords
+
+Big data driven networking, mechanism, service provisioning.
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID.
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+### NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents/software copyrights, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the appropriate ITU-T databases available via the ITU-T website at .
+
+© ITU 2023
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | | Page |
+|----|-------------------------------------------------------------------------------|------|
+| 1 | Scope..... | 1 |
+| 2 | References..... | 1 |
+| 3 | Definitions ..... | 1 |
+| | 3.1 Terms defined elsewhere..... | 1 |
+| | 3.2 Terms defined in this Recommendation..... | 1 |
+| 4 | Abbreviations and acronyms ..... | 1 |
+| 5 | Conventions ..... | 2 |
+| 6 | Overview of network service provisioning in bDDN..... | 2 |
+| | 6.1 Service characteristics in future networks..... | 2 |
+| | 6.2 Overview of service provisioning in bDDN..... | 3 |
+| 7 | Functional entities of network service provisioning in bDDN ..... | 4 |
+| | 7.1 Service provisioning entity..... | 5 |
+| | 7.2 Multi-domain resource orchestration entity ..... | 6 |
+| 8 | Mechanisms of intelligent resource scheduling and orchestration in bDDN ..... | 6 |
+| | 8.1 Functional entities of resource orchestration in bDDN..... | 6 |
+| | 8.2 Cross-domain service resource orchestration mechanism..... | 8 |
+| | 8.3 Policy based resource orchestration mechanism ..... | 9 |
+| 9 | Mechanism of automatic service establishment and configuration in bDDN ..... | 11 |
+| | 9.1 Automatic control loop of service provisioning..... | 11 |
+| | 9.2 Procedure of service provisioning in bDDN ..... | 12 |
+| 10 | Security considerations..... | 13 |
+| | Bibliography..... | 14 |
+
+
+
+# Recommendation ITU-T Y.3656
+
+## Big data driven networking – mechanism of network service provisioning
+
+## 1 Scope
+
+This Recommendation specifies the mechanism of network service provisioning in big data driven networking (bDDN). This Recommendation includes:
+
+- Overview of network service provisioning in bDDN;
+- Functional entities of network service provisioning in bDDN;
+- Mechanism of intelligent network resource scheduling and orchestration in bDDN;
+- Mechanism of automatic service establishment and configuration in bDDN;
+- Security considerations.
+
+## 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+[ITU-T Y.2704] Recommendation ITU-T Y.2704 (2010), *Security mechanisms and procedures for NGN*.
+
+[ITU-T Y.3653] Recommendation ITU-T Y.3653 (2021), *Big data driven networking-Functional architecture*.
+
+## 3 Definitions
+
+### 3.1 Terms defined elsewhere
+
+This Recommendation uses the following term defined elsewhere:
+
+**3.1.1 big data driven networking (bDDN)** [b-ITU-T Y.3650]: Big data driven networking (bDDN) is a type of future network framework that collects big data from networks and applications, and generates big data intelligence based on the big data; it then provides big data intelligence to facilitate smarter and autonomous network management, operation, control, optimization and security, etc.
+
+### 3.2 Terms defined in this Recommendation
+
+None.
+
+## 4 Abbreviations and acronyms
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|------|----------------------------|
+| AR | Augmented Reality |
+| bDDN | Big Data Driven Networking |
+| BSS | Business Support System |
+
+| | |
+|-------|------------------------------------------|
+| CPU | Central Processing Unit |
+| eMBB | enhanced Mobile Broadband |
+| IaaS | Infrastructure as a Service |
+| mMTC | massive Machine Type Communication |
+| NFV | Network Function Virtualization |
+| OSS | Operating Support System |
+| QoS | Quality of Service |
+| SDN | Software Defined Networking |
+| SLA | Service Level Agreement |
+| uRLLC | ultra-Reliable Low-Latency Communication |
+| VNF | Virtual Network Function |
+| VR | Virtual Reality |
+| WAN | Wide Area Network |
+
+## 5 Conventions
+
+This Recommendation uses the following conventions:
+
+In the body of this Recommendation and its annexes, the words 'should', and 'may' sometimes appear, in which case they are to be interpreted, respectively, as 'is recommended', and 'can optionally'.
+
+## 6 Overview of network service provisioning in bDDN
+
+### 6.1 Service characteristics in future networks
+
+Compared with the traditional network, the future network will realize a very real "Internet of all things". In the future, the connection of the network will extend to the intelligent interconnection of things and people to things, so that communication technology can penetrate into a broader industry field. The future network will further develop richer and more diverse industry businesses, including telemedicine, vehicle networking, smart home, industrial control, environmental monitoring, etc., so as to promote the rapid growth of various industry applications. The future network service has the following characteristics:
+
+**Service diversity:** The enhanced mobile broadband (eMBB) service focuses on services requiring high bandwidth, such as high-definition video, virtual reality (VR) / augmented reality (AR) services; ultra-reliable low-latency communication (uRLLC) service focuses on services sensitive to time delay and reliability, such as automatic driving, industrial control and telemedicine; massive machine-type communication (mMTC) service covers scenarios with high connection density, such as smart city and smart agriculture. These have completely different performance requirements for the network, and these diverse requirements are difficult to satisfy with a traditional network framework on the shared network infrastructure.
+
+**High performance:** In the future, some service scenarios will often have high performance requirements. For example, VR/AR services have high performance requirements in terms of both bandwidth and delay. In the industry scenarios, end users are "machines", which are much more sensitive to the requirements of network performance than people. In a fully automatic driving scenario, if the data transmission delay-and the reliability requirements are not satisfied, it will be difficult to truly realize a commercial use.
+
+**Rapid deployment:** The deployment of a new service in a traditional network often takes several weeks or months, which makes it difficult to meet the needs of operators for rapid service deployment when providing services to industries.
+
+**Network slicing and security isolation:** Network slicing is one of the key features of networking. The network provides different network slices for multiple tenants based on a set of shared network infrastructure. Each vertical industry customer will use the network in the form of sliced tenants, so the network slices providing services for tenants need to be safely isolated. This is very important to vertical industry. On the one hand, from the perspective of security, it is necessary to effectively isolate the data and information between tenants. On the other hand, from the perspective of reliability, network slicing and security isolation can prevent a network abnormality or failure of a tenant from affecting different tenants in the same network.
+
+### 6.2 Overview of service provisioning in bDDN
+
+Figure 6-1 shows service provisioning in bDDN. In order to meet the characteristics of services in the future network, bDDN uses the big data plane to realize intelligent resource orchestration, and realizes the rapid deployment of services through automatic full life cycle management of services. In bDDN, the application layer of the network plane is used to receive a customer's application request and provide network services. Then, the orchestration entity of the network plane is used to orchestrate and schedule the network resources according to the request of the application layer. bDDN can build multiple isolated virtual networks on the network infrastructure. By allocating different network resources and functional entities to different virtual networks, it can meet the differentiated requirements of bandwidth, delay, jitter and other quality of service (QoS) requirements in different service scenarios.
+
+In order to achieve more flexible function deployment and service customization, network virtualization is the main trend of network architecture development. Network function virtualization (NFV) technology realizes network virtualization, which separates network functions from special hardware and virtualizes them into virtual network functions (VNFs). Under the constraints of network resources, virtual links between VNFs are deployed on the network physical infrastructure, providing end-to-end differentiated network function services. In the bDDN, NFV technology is used to realize the virtualization of network functions. The centralized control of the network is realized through the controller of the network plane, and intelligence is provided to the control plane and management plane through the big data plane.
+
+
+
+Figure 6-1: Service provisioning in bDDN. The diagram shows a 3D cube representing the bDDN architecture. The top face is the 'Management plane' containing 'Network maintenance', 'Network administration', and 'Network marketing and operation'. The front face is the 'Network plane' containing three layers: 'Application layer' (with 'Business application' and 'Service management'), 'Controller layer' (with 'Multi network orchestration' and 'Network controller'), and 'Infrastructure layer' (with 'Forwarding device and VNF'). The right face is the 'Big data plane' containing 'Data intelligence and service', 'Network big data analyser', 'Network big data repository', and 'Network big data sensing'. A blue curved arrow points from 'Customer applications' (a dashed box above) to the 'Application layer' in the Network plane. The reference 'Y.3656(23)' is at the bottom right.
+
+**Figure 6-1 – Service provisioning in bDDN**
+
+The service management of the bDDN defines the workflow of service deployment, and then converts it into a standardized policy and sends it to the underlying network controller. According to the policy issued by the service management, the underlying network controller allocates and updates the network resources and network functions required by the service through the standardized interface. After the service deployment, the current network status is fed back to the big data plane. To improve the policy of network orchestration the bDDN makes use of the big data plane and management plane to continuously optimize the policy in the orchestration, so as to change the network orchestration from "automation" to "intelligence", and realize efficient, stable and rapid service deployment.
+
+The service provisioning mechanism of bDDN is that bDDN uses the intelligence provided by the big data plane of bDDN to realize the automatic provisioning of network services and the automatic management of the whole life cycle of services. This mainly involves three aspects: functional entities of service provisioning, mechanisms of intelligent resource orchestration, and mechanisms of automatic establishment and configuration.
+
+## 7 Functional entities of network service provisioning in bDDN
+
+Figure 7-1 illustrates functional entities related to network service provisioning of bDDN. They can be divided into service provisioning functional entities and multi-domain resource orchestration functional entities.
+
+
+
+Figure 7-1 – Functional entities of network service provisioning. The diagram shows a layered architecture with three main layers: Application layer, Control layer, and Infrastructure layer. The Application layer contains three 'Business application' boxes. The Control layer is divided into 'Service provisioning' (containing 'Service preliminary', 'Service enabling', and 'Service monitoring') and 'Multi-domain resource orchestration' (containing 'Unified policy centre', 'Unified resource centre', and 'Cross domain resource orchestration'). Below these are four network controllers: 'WAN controller', 'Core network controller', 'Metro network controller', and 'Access network controller'. The Infrastructure layer contains 'Forwarding device' and 'VNF' blocks. Bidirectional arrows connect the layers. On the right, a 'Big data plane' box interacts with the Control layer via 'Computing and analytical requirement' (arrow pointing right) and 'Intelligent service' (arrow pointing left). A 'Data collection interface' arrow points from the Infrastructure layer to the Big data plane. The entire structure is labeled 'Network plane' at the bottom. Reference Y.3656(23) is noted at the bottom right.
+
+**Figure 7-1 – Functional entities of network service provisioning**
+
+### 7.1 Service provisioning entity
+
+Service provisioning functions consist of the components enabling bDDN network automatic management of the full life cycle of services. For this purpose, four functional entities are identified: The service preliminary entity, which handles the design, registration and verification of services. The service enabling entity is the functional block for network service deployment, configuration, start, termination, and resource allocation, etc. The service monitoring entity is responsible for monitoring the service execution environment and performance.
+
+#### 1) Service preliminary entity
+
+The service preliminary entity is responsible for the design, definition of the service and development of the service provisioning procedure. It aims to facilitate the deployment and reuse of service provisioning, and automate the life cycle management of the service. The service preliminary entity can also easily add new functions, modify existing capabilities, and achieve continuous maintenance and improvement. Most of the automatic operation work of the network will be carried out on this entity.
+
+#### 2) Service enabling entity
+
+It is responsible for the start, configuration, deployment and end of the service, and realizes the automatic management of the whole life cycle of the service. It will also realize service composition. Service composition is concerned with aggregating multiple services into a single composite service. The resulting composite services can be used as basic services in further service compositions or as complete applications to service consumers. The service enabling entity is concerned with the enabling of runtime service resources. Identification of the runtime resources
+
+allows service providers to describe service functionalities, publish service descriptions, and to find and bind available resources. However, the challenges are exacerbated by the heterogeneity of network technologies and functions, dynamic changing operating environments, e.g., fluctuating demand, mobility affecting core, transport, and access networks. The requirements for network service resource allocation are: i) Service conformance ensured by the integrity of heterogeneous resources; ii) adaptability to changing operation environments.
+
+The service enabling entity also deals with the instantiation, life-cycle management and configuration of the services. In a network service domain, the services are built from constituting network functions, which are managed by different service providers. Configuration and monitoring therefore encompass broader orchestration, delegation of control and workflow management in accordance with network function providers.
+
+#### 3) Service monitoring entity
+
+The service monitoring entity is the entity responsible for data collection and analysis. Its tasks include measuring and collecting of fault status, configuration information and other types of data from network elements and infrastructure. Through the analysis of the collected data, intelligent events are generated for other components by big data plane to complete the closed-loop control of services provisioning. It includes collectors for various data collection, analysers for evaluating data, and various micro-services for assisting data collection and analysis.
+
+### 7.2 Multi-domain resource orchestration entity
+
+The multi-domain resources orchestration entity is responsible for resource allocation and resource coordination of services across a domain. The multi-domain resources orchestration entity includes a unified resource centre, unified policy centre and resource orchestration entity.
+
+#### 1) Unified resource centre
+
+The unified resource centre will unify management of the resource information in the domain and the relationship between resources and services.
+
+#### 2) Unified policy centre
+
+The unified policy centre manages the corresponding policies of all services, including service resource policies, enabling policies, security policies, etc.
+
+#### 3) Cross domain resource orchestration entity
+
+The cross domain resource orchestration entity is mainly responsible for cross-domain resource orchestration, including network connectivity resources, computing resources, etc. The cross domain resource orchestration entity will invoke the underlying internal resource orchestration entity to implement global resource scheduling.
+
+## 8 Mechanisms of intelligent resource scheduling and orchestration in bDDN
+
+### 8.1 Functional entities of resource orchestration in bDDN
+
+The functional entities of resource orchestration for bDDN service across multiple administrative and technological domains are illustrated in Figure 8-1.
+
+
+
+Y.3656(23)
+
+Figure 8-1: Functional entities of resource orchestration. The diagram shows a hierarchical structure. At the top is 'Cross-domain service management' containing 'Service management' and 'Service repository', with a 'Unified policy centre' cylinder. Below it is 'Cross-domain resource orchestration' containing 'Cross-domain resource orchestrator', 'Unified connectivity resource manager', and 'Unified cloud manager', with a 'Unified resource centre' cylinder. These are connected via double lines to a stack of boxes representing 'Multiple administrative domains'. Each domain contains 'Internal resource orchestration' with 'Internal service management' and 'Internal resource management'. Below this is a dashed box for 'Virtual resources' containing 'Virtual network', 'Virtual storage', 'Virtual computing', and 'VNF'. This is followed by a 'Virtualization layer' and then 'Physical resources' containing 'Network resources', 'Storage resources', and 'Compute resources'. An arrow points from the 'Multiple administrative domains' label to the stack of boxes.
+
+**Figure 8-1 – Functional entities of resource orchestration**
+
+The functional entities of resource orchestration in bDDN includes three fundamental entities that are described below:
+
+#### 1) Cross-domain service management entity
+
+The cross-domain service management entity is responsible for service management across the administrative domain with successfully admitted service requests. It consists of the following two main functional blocks:
+
+- Service management block
+Service management handles incoming service requests from applications, e.g., service admission control and negotiation considering service aspects. It is also responsible for start and termination of a service.
+- Service repository block
+bDDN collects service information and manages a global service repository. It also interacts with the operating/business support system (OSS/BSS) in order to collect application, policy and administrative information when handling service requests.
+
+#### 2) Cross-domain resource orchestration entity
+
+The cross-domain resource orchestration entity decomposes a service request towards different administrative domains and decides on the combination of domains, including the cross-domain connectivity. It consists of the following three main functional blocks:
+
+- cross-domain resource orchestrator
+
+The cross-domain resource orchestrator is responsible for the cross-domain resource management, including start and termination of the service resource. The cross-domain resource orchestrator monitors, manages and controls the corresponding resources related to a service, while ensuring secure and trusted connectivity across administrative domains. It also serves as a manager among federated resources, carrying out domain specific resource allocation and re-adjustments to compensate potential performance degradation. When a cross-domain service is formed, the cross-domain resource orchestration achieves scalability by assigning a cross-domain resource orchestrator that is independent with domains.
+
+- Unified cloud manager: the unified cloud manager performs computing, storage and other cloud resource allocation tasks with the help of a resource orchestrator. It also interprets and translates the performance capability description of heterogeneous cloud resources.
+- Unified connectivity resource manager: the unified connectivity resource manager is responsible for establishment and management of connectivity across different administrative domains.
+
+#### 3) Internal resource orchestration entity
+
+The internal resource orchestration entity interacts with the cross-domain resource orchestrator, allocating internal domain resources for establishing a cross domain federated resource. It also provides the corresponding life cycle management via the following functional blocks:
+
+- Internal service management block
+The internal service management block analyses the resource request received from the cross-domain resource orchestrator and identifies the network functions. It also determines logical links characterized by bandwidth, delay, jitter, packet loss, etc. In return, it feeds the cross-domain resource orchestrator with service and performance capability information related to the underlying resources.
+- Internal resource management block
+The internal resource management block identifies the appropriate network resource from an associated resource catalogue and forms a logical network resource graph. Such a graph is mapped to the underlying computing, storage and network resources corresponding to a specific technology. The internal resource management block is also responsible for the instantiation, enabling and management of the resource within the same administrative domain, and performing monitoring and modification related operations.
+
+### 8.2 Cross-domain service resource orchestration mechanism
+
+When a service request first arrives at the cross-domain service management entity, the service management block performs the admission control and negotiation with the requesting tenant considering the OSS/BSS policy and rules. It also analyses the service requirements selecting the appropriate domains before instantiating a cross-domain resource orchestrator for the new service. The service management block once authorized, programs the cross-domain resource orchestrator providing essential information related to the desired service type (e.g., SLA and policy).
+
+Once the cross-domain resource orchestrator is initiated, the service management block provides the corresponding service decomposition details of the resource request. The cross-domain resource orchestrator relies on the unified cloud manager for guidance on interpreting the resource requirements related to VNFs. The cross-domain connectivity is established through the unified connectivity resource manager. Thereafter, the cross-domain resource orchestrator establishes a secure communication with each internal service management function in the relative administrative domain. It then provides service type specifics (e.g., SLA and policy) related to the corresponding service request. Each internal service management function in turn performs a mapping analysis to identify the network resources, i.e., network functions, value added service and
+
+connectivity, that correspond to certain technology sub-domains and then informs the internal resource management function. The internal resource management function selects the appropriate resource and creates the desired "service resource graph".
+
+It then carries out the resource configuration towards the corresponding sub-domain by issuing a request towards the respective sub-domain network infrastructure and/or sub-domain specific network controller, which in turn needs to create the desired NFV, computing and connectivity resources. For the connectivity resource, the sub-domain network controller performs the necessary network configurations to establish the transport layer and related service chain.
+
+A multi-domain service becomes operational when all domain-specific service resource and cross-domain connectivity are configured successfully. Once the resources are granted, an acknowledgement shall be returned to the tenant, also updating the service repository.
+
+### 8.3 Policy based resource orchestration mechanism
+
+In bDDN, more dynamics and autonomy are required. On the one hand, network elements have become more intelligent with flexible control and adaption. Such complexity in the network model and their possible compositions greatly increase uncertainty in network management strategies. On the other hand, new providers have emerged with increasingly open and horizontal network architectures, i.e., virtual mobile network operators, virtual network service providers, VNF providers, virtual infrastructure providers, alongside current service providers and network infrastructure providers.
+
+The unified policy centre is the entity of bDDN that is responsible for maintaining, distributing and operating various policy rules. It provides a logical centralized environment for creating and managing policies, including conditional rules. The functions of the unified policy centre include creating and verifying policies and rules, identifying overlaps, resolving conflicts, and deriving additional policies as needed. Policy is used to control, influence, and help ensure that operations meet objectives. Policy can support infrastructure, service and operation automation, security, etc.
+
+Network service resource orchestration is driven by both fluctuation of resource utilization and diverse provider's objectives, which form a policy hierarchy according to the network hierarchy. The policy hierarchy and network hierarchy as shown in Figure 8-2:
+
+
+
+```
+
+graph LR
+ subgraph Network_hierarchy [Network hierarchy]
+ Applications[Applications]
+ Network_controller[Network controller]
+ Network_infrastructure[Network infrastructure]
+ end
+ subgraph Policy_generation_hierarchy [Policy generation hierarchy]
+ Service_requirements[Service requirements]
+ Network_policy[Network policy]
+ Resource_policy_information_base[Resource policy information base]
+ end
+ Applications --> Service_requirements
+ Network_controller --> Network_policy
+ Network_infrastructure --> Resource_policy_information_base
+ Service_requirements --> Network_policy
+ Network_policy --> Resource_policy_information_base
+
+```
+
+Y.3656(23)
+
+Figure 8-2: Policy hierarchy and network hierarchy diagram. The diagram shows two main components: 'Network hierarchy' and 'Policy generation hierarchy'. The 'Network hierarchy' is a dashed box containing three blue boxes: 'Applications', 'Network controller', and 'Network infrastructure'. The 'Policy generation hierarchy' is a dashed box containing three white boxes: 'Service requirements', 'Network policy', and 'Resource policy information base'. Arrows point from 'Applications' to 'Service requirements', from 'Network controller' to 'Network policy', and from 'Network infrastructure' to 'Resource policy information base'. Within the 'Policy generation hierarchy', arrows point from 'Service requirements' to 'Network policy', and from 'Network policy' to 'Resource policy information base'.
+
+**Figure 8-2 – Policy hierarchy and network hierarchy**
+
+As a result, while policy based autonomous network management is more relevant as an enabler for a future flexible network, it requires more autonomy in policy analysis and conflict resolution approaches. Figure 8-3 depicts the policy based resource orchestration mechanism for service provisioning. A policy based autonomous control procedure is realized in the framework.
+
+
+
+```
+
+graph LR
+ A[Service modelling] --> B[Policy refinement]
+ B --> C[Resource allocation]
+ C --> D[Service provisioning]
+ D --- E[Y.3656(23)]
+
+```
+
+Flowchart showing the policy based resource orchestration mechanism for service provisioning. The process consists of four sequential steps: Service modelling, Policy refinement, Resource allocation, and Service provisioning. The reference Y.3656(23) is noted below the final step.
+
+**Figure 8-3 – Policy based resource orchestration mechanism for service provisioning**
+
+The mechanism allows service providers to provide formal service models at all levels of the policy hierarchy. Network services can then take advantage of the policy based autonomous composition and adaptation capability for self-adaption to changing demands and operation environments.
+
+#### 1) Service modelling
+
+The service model management entity of big data plane establishes a formal abstraction service model in order to enable autonomous policy refinement and adaptation. The abstraction service model includes their respective entity models, policies and goals, conflicts and resolution strategies, among others. The policy hierarchy requires an abstraction model that can capture system and user behaviours, and facilitate autonomous policy refinement and adaptation. For this purpose, bDDN uses event calculus to create formal system models of each network layer, which support logical reasoning, i.e., deriving low-level policies required to fulfil a high-level goals, or identifying the causes to a conflicting state.
+
+#### 2) Policy refinement
+
+The bDDN uses a logical reasoning approach for autonomous policy refinement and adaptation to cope with events in the policy hierarchy. Logical reasoning allows policy refinement and adaptation rules to contain only predicates for prerequisite and desirable system states, while intermediary operations and states are derived according to description logic semantics. Therefore, logic based policy approaches reduce the required knowledge about the managed systems and increase autonomy compared to static rule-based policy management.
+
+There are two phases in this procedure. In the first phase, QoS-aware translation from the user's goals to resource requirements is required. Suitable resources are identified based on the facts in the resource centre. In the second phase, provisionally unavailable resources are recursively provisioned and additional service matching and optimization are applied. Matching of network services and resource objectives can be resolved. As a result, a set of resources are identified, which are used by the resource providers in their service provisioning procedures.
+
+#### 3) Resource allocation
+
+In bDDN, the orchestration module in the network plane presented in [ITU-T Y.3653] schedules network resources according to the parsed modelling strategy, and provides customized network services on demand. The big data plane of bDDN brings great convenience for scheduling network resources when providing services. First, the big data plane can maintain a global network view and realize real-time and fine-grained data collection, providing sufficient network status data for machine learning. Second, the programmable network plane can carry out efficient network resource allocation and traffic scheduling, and realize the real-time distribution of optimization strategies by machine learning. The intelligent resource allocation of big data plane in bDDN mainly focuses on three aspects: network plane resource allocation, controller resource allocation and traffic scheduling.
+
+##### - Network resource allocation
+
+The network resource allocation of bDDN is to maximize the resource utilization and scheduling efficiency of the network under the conditions of the service level agreement (SLA). In the network plane, network virtualization can realize the isolation of network resources, so that several user services can share a physical network. The allocation of network resources in the network plane is equal to resources allocated from the physical
+
+network to the virtual network according to the user's service requirements for topology, bandwidth, central processing unit (CPU), etc.
+
+##### - **Controller resources allocation**
+
+Controller resources allocation is mainly to schedule the resources for the network controller from a higher level, so as to provide more efficient and stable control capability for the network plane. The controller needs to handle the control traffic of all devices connected to it, and needs to allocate appropriate computing resources and bandwidth resources to the controller.
+
+The distance between the controller and the network plane equipment will also affect the service processing efficiency. Therefore, the deployment of the controller should not only consider the load capacity of the controller itself, but also reasonably deploy the controller according to the equipment location and traffic of the network plane.
+
+##### - **Traffic scheduling**
+
+Traffic scheduling based on big data plane mainly plans the traffic path by setting an optimized routing strategy to achieve lower end-to-end delays, load balancing or to maximize the utilization of network resources. The traffic scheduling algorithm in bDDN can be fully trained through the data collected by the controller to realize traffic prediction and routing optimization, and realize real-time and dynamic traffic scheduling.
+
+## 9 Mechanism of automatic service establishment and configuration in bDDN
+
+### 9.1 Automatic control loop of service provisioning
+
+The bDDN enables the user to dynamically and on demand, create, modify and terminate services via the user's portals or applications. This is analogous to cloud-based services, such as infrastructure as a service (IaaS), where users can dynamically create, modify or terminate computing and storage resources. In summary, the goal of the service provisioning in bDDN, based on network as a service principle, is to enable agile service delivered across network domains.
+
+The automatic provisioning capability of service is completed by the collaboration of several different components. The service preliminary entity is responsible for service design and testing. The service enabling entity is responsible for the configuration, deployment and enabling service. The service monitoring entity is responsible for monitoring, collecting and analysing the data of performance and failure. The service automatic control entity is used to control the whole service life cycle itself. The functional block is shown in Figure 9-1.
+
+
+
+```
+graph LR; S1[① Service preliminary] --> S2[② Service enabling]; S2 --> S3[③ Service monitoring]; SAC[Service automatic control] -.->|control| S1; SAC -.->|control| S2; SAC -.->|control| S3;
+```
+
+Figure 9-1: Automatic control loop of service provisioning. The diagram shows a flow from 'Service preliminary' (1) to 'Service enabling' (2) to 'Service monitoring' (3). Below these, 'Service automatic control' is connected to each of the three stages via dashed lines labeled 'control'.
+
+Y.3656(23)
+
+**Figure 9-1 – Automatic control loop of service provisioning**
+
+Services in the bDDN rely on coordinated orchestration of distributed capabilities across potentially many networks and many domains to enable end-to-end management. Such orchestration is executed for the entire service lifecycle where each functional area of the lifecycle is further streamlined and automated, from service definition to service fulfilment, control, assurance, and billing.
+
+### 9.2 Procedure of service provisioning in bDDN
+
+In bDDN, the service is across many network domains from one or more network operators. These network domains may be operated by communications service providers, data centre operators, enterprises, wireless network operators, virtual network operators, or content providers. The service management encompasses all network domains that require coordinated end-to-end management and control to deliver service. Within each provider domain, the network infrastructure may be implemented with traditional wide area network (WAN) technologies, as well as network function virtualization (NFV) and/or other technologies.
+
+Cross domain service provisioning involves service design procedure, service deployment procedure, online configuration procedure, closed-loop control, and so on. It needs to realize end-to-end resource orchestration and full life cycle automation and intelligent management. bDDN divides service provisioning into two stages: a preliminary stage and a provisioning stage. The preliminary stage completes the offline design of the network service model, and distributes the service model to the provisioning stage. The provisioning stage completes the resource scheduling of each domain, the enabling of service, including the interaction with the controller, and the automatic deployment of service. As shown in Figure 9-1, step 1 is the preliminary state, and steps 2 and 3 are the provisioning stage. All the steps 1, 2 and 3 are controlled by the service automatic control entity. bDDN will update the status data of service resources to the unified resource pool in real time. At the same time, the system starts to collect the performance and fault data of the service, and matches the operation and maintenance strategy, so as to realize the automatic and intelligent network operation and maintenance. The service provisioning procedure is shown in Figure 9-2.
+
+
+
+```
+
+sequenceDiagram
+ participant SD as Service designer
+ participant OP as Operator
+ participant SP as Service preliminary
+ participant SAC as Service automatic control
+ participant SE as Service enabling
+ participant SR as Service repository
+ participant UPC as Unified policy centre
+ participant SM as Service monitoring
+
+ SD->>SP: 1. Create/test service
+ SP->>SAC: 2. Service model distribution
+ SAC->>SE: 3. Service model distribution
+ SE->>SR: 4. Save service model
+ SAC->>SE: 5. Configuration of control loop
+ SE->>UPC: 6. Create configuration and operational policies
+ UPC->>SM: 7. Configure policy
+ SAC->>SE: 8. Service initialization
+
+```
+
+Y.3656(23)
+
+Figure 9-2: Procedure of bDDN service provisioning. This sequence diagram illustrates the workflow between a Service designer and an Operator across various system components. The Service designer interacts with the Service preliminary component, while the Operator interacts with the Service automatic control, Service enabling, Service repository, Unified policy centre, and Service monitoring components. The process follows eight numbered steps: 1. Create/test service (Service designer to Service preliminary), 2. Service model distribution (Service preliminary to Service automatic control), 3. Service model distribution (Service automatic control to Service enabling), 4. Save service model (Service enabling to Service repository), 5. Configuration of control loop (Service automatic control to Service enabling), 6. Create configuration and operational policies (Service enabling to Unified policy centre), 7. Configure policy (Unified policy centre to Service monitoring), and 8. Service initialization (Service automatic control to Service enabling).
+
+**Figure 9-2 – Procedure of bDDN service provisioning**
+
+1. In service the preliminary stage, the service designer creates/tests the service, and loads resources.
+
+2. Then, the service preliminary entity distributes the service model to the service automatic control module.
+3. Meantime the service preliminary entity distributes the service model to the service enabling entity.
+4. The service enabling entity is mainly responsible for service provisioning and management. It accepts and parses the service model from the service preliminary entity, and it saves the service information to the service repository database, including the related resource information.
+5. The operator configures the control flow and parameters for service provisioning. This flow will automatically guide the service to realize the automatic configuration and provisioning.
+6. The service automatic control entity creates the configuration and operational policy in the unified policy centre. This policy will be used in resource orchestration and monitoring of the service.
+7. The service monitoring entity will monitor the real time status of service resource after service enabling.
+8. The service monitoring entity of bDDN starts to collect the performance and fault data of the service resources, and bDDN provides the ability of big data analysis and closed-loop operation. bDDN adjusts the resources of the service in real time according to the dynamic usage of service resources.
+
+## **10 Security considerations**
+
+When applying network service provisioning in bDDN, security best practices should be adopted such as authentication, authorization and access control and described in [ITU-T Y.2704].
+
+In the meantime, operations related to network resources should have multiple reliability guaranteeing measures in order to avoid incorrect operation of network resources and causing the degrading of network performance.
+
+## **Bibliography**
+
+- [b-ITU-T Y.3650] Recommendation ITU-T Y.3650 (2018), *Framework of big-data-driven networking*
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..aa25083b8fd781e67109b060423fca18fae0b44d
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+++ b/marked/Y/T-REC-Y.3661-202508-I_PDF-E/raw.md
@@ -0,0 +1,668 @@
+
+
+# Recommendation
+
+## **ITU-T Y.3661 (08/2025)**
+
+SERIES Y: Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+Big Data
+
+---
+
+**Big data driven networking – Architecture and mechanism for customer-oriented intelligent network operation**
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+# Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+| | |
+|--------------------------------------------------------------------|----------------------|
+| GLOBAL INFORMATION INFRASTRUCTURE | Y.100-Y.999 |
+| General | Y.100-Y.199 |
+| Services, applications and middleware | Y.200-Y.299 |
+| Network aspects | Y.300-Y.399 |
+| Interfaces and protocols | Y.400-Y.499 |
+| Numbering, addressing and naming | Y.500-Y.599 |
+| Operation, administration and maintenance | Y.600-Y.699 |
+| Security | Y.700-Y.799 |
+| Performances | Y.800-Y.899 |
+| INTERNET PROTOCOL ASPECTS | Y.1000-Y.1999 |
+| General | Y.1000-Y.1099 |
+| Services and applications | Y.1100-Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200-Y.1299 |
+| Transport | Y.1300-Y.1399 |
+| Interworking | Y.1400-Y.1499 |
+| Quality of service and network performance | Y.1500-Y.1599 |
+| Signalling | Y.1600-Y.1699 |
+| Operation, administration and maintenance | Y.1700-Y.1799 |
+| Charging | Y.1800-Y.1899 |
+| IPTV over NGN | Y.1900-Y.1999 |
+| NEXT GENERATION NETWORKS | Y.2000-Y.2999 |
+| Frameworks and functional architecture models | Y.2000-Y.2099 |
+| Quality of Service and performance | Y.2100-Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200-Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250-Y.2299 |
+| Enhancements to NGN | Y.2300-Y.2399 |
+| Network management | Y.2400-Y.2499 |
+| Computing power networks | Y.2500-Y.2599 |
+| Packet-based Networks | Y.2600-Y.2699 |
+| Security | Y.2700-Y.2799 |
+| Generalized mobility | Y.2800-Y.2899 |
+| Carrier grade open environment | Y.2900-Y.2999 |
+| FUTURE NETWORKS | Y.3000-Y.3499 |
+| CLOUD COMPUTING | Y.3500-Y.3599 |
+| BIG DATA | Y.3600-Y.3799 |
+| QUANTUM KEY DISTRIBUTION NETWORKS | Y.3800-Y.3999 |
+| INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES | Y.4000-Y.4999 |
+| General | Y.4000-Y.4049 |
+| Definitions and terminologies | Y.4050-Y.4099 |
+| Requirements and use cases | Y.4100-Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250-Y.4399 |
+| Frameworks, architectures and protocols | Y.4400-Y.4549 |
+| Services, applications, computation and data processing | Y.4550-Y.4699 |
+| Management, control and performance | Y.4700-Y.4799 |
+| Identification and security | Y.4800-Y.4899 |
+| Evaluation and assessment | Y.4900-Y.4999 |
+
+For further details, please refer to the list of ITU-T Recommendations.
+
+# Recommendation ITU-T Y.3661
+
+# Big data driven networking – Architecture and mechanism for customer-oriented intelligent network operation
+
+## Summary
+
+Big data driven networking (bDDN) can collect, store and analyse customer-based data. It enables intelligent network maintenance, management and operation by dynamically allocating resources to meet diverse customer needs through technologies such as big data and artificial intelligence (AI).
+
+The architecture and mechanism for customer-oriented intelligent network operation (COINO) based on bDDN facilitate real-time network monitoring, service tracking and the accurate matching of customer demands, thereby enhancing technical value. Additionally, COINO drives continuous business process transformation, reducing costs, improving efficiency and elevating customer experience.
+
+Recommendation ITU-T Y.3661 specifies the architecture and mechanism for COINO based on bDDN.
+
+## History \*
+
+| Edition | Recommendation | Approval | Study Group | Unique ID |
+|---------|----------------|------------|-------------|--------------------|
+| 1.0 | ITU-T Y.3661 | 2025-08-29 | 13 | 11.1002/1000/16450 |
+
+## Keywords
+
+Big data driven network, customer oriented, network operation.
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID.
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, and information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+### NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents/software copyrights, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the appropriate ITU-T databases available via the ITU-T website at .
+
+© ITU 2025
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | Page |
+|------------------------------------------------------------------------------------------|-------------|
+| 1 Scope..... | 1 |
+| 2 References..... | 1 |
+| 3 Definitions ..... | 1 |
+| 3.1 Terms defined elsewhere ..... | 1 |
+| 3.2 Terms defined in this Recommendation..... | 1 |
+| 4 Abbreviations and acronyms ..... | 1 |
+| 5 Conventions ..... | 2 |
+| 6 Overview of COINO based on bDDN..... | 2 |
+| 6.1 Introduction of COINO ..... | 2 |
+| 6.2 Overview of COINO based on bDDN..... | 3 |
+| 7 Architecture of COINO based on bDDN..... | 4 |
+| 7.1 Architecture of the big data plane based on bDDN to realize COINO ..... | 5 |
+| 7.2 Architecture of the network plane based on bDDN to realize COINO..... | 8 |
+| 7.3 Architecture of the network management plane based on bDDN to realize
COINO ..... | 9 |
+| 8 Mechanism for COINO based on bDDN..... | 10 |
+| 8.1 The capabilities of COINO..... | 10 |
+| 8.2 The methods used in COINO based on bDDN ..... | 12 |
+| 9 The interface abilities for COINO based on bDDN ..... | 14 |
+| 9.1 External interface..... | 14 |
+| 9.2 The interfaces between planes in bDDN ..... | 15 |
+| 9.3 The interfaces between layers in big data plane..... | 15 |
+| 10 Security considerations ..... | 16 |
+| Bibliography..... | 17 |
+
+
+
+# Recommendation ITU-T Y.3661
+
+# Big data driven networking – Architecture and mechanism for customer-oriented intelligent network operation
+
+## 1 Scope
+
+This Recommendation specifies big data driven networking (bDDN) – the architecture and mechanism for customer-oriented intelligent network operation (COINO). The scope of the Recommendation includes:
+
+- 1) Overview of the architecture and mechanism for COINO based on bDDN;
+- 2) Architecture for COINO based on bDDN;
+- 3) Mechanism for COINO based on bDDN;
+- 4) The interface abilities for COINO based on bDDN.
+
+NOTE – Multiple customer requirements management is out of the scope of this Recommendation.
+
+## 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a standalone document, the status of a Recommendation.
+
+[[ITU-T Y.3650](#)] Recommendation ITU-T Y.3650 (2018), *Framework of big-data-driven networking*.
+
+[[ITU-T Y.3653](#)] Recommendation ITU-T Y.3653 (2021), *Big data driven networking – functional architecture*.
+
+## 3 Definitions
+
+## 3.1 Terms defined elsewhere
+
+This Recommendation uses the following term defined elsewhere:
+
+**3.1.1 big-data-driven networking (bDDN)** [ITU-T Y.3650]: Big-data-driven networking (bDDN) is a type of future network framework that collects big data from networks and applications, and generates big data intelligence based on the big data; it then provides big data intelligence to facilitate smarter and autonomous network management, operation, control, optimization and security, etc.
+
+## 3.2 Terms defined in this Recommendation
+
+None.
+
+## 4 Abbreviations and acronyms
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|-----|-----------------------------------|
+| AI | Artificial Intelligence |
+| API | Application Programming Interface |
+
+| | |
+|---------|-------------------------------------------------|
+| bDDN | Big-Data-Driven Networking |
+| COINO | Customer-Oriented Intelligent Network Operation |
+| DIM | Dimension |
+| ETL | Extract, Transform, Load |
+| HTTP | Hypertext Transfer Protocol |
+| IoT | Internet of Things |
+| KPI | Key Performance Indicator |
+| MEC | Multi-access Edge Computing |
+| NFV | Network Functions Virtualization |
+| NLP | Natural Language Processing |
+| NoSQL | Not Only Structured Query Language |
+| OAM | Operation, Administration and Maintenance |
+| RDMA | Remote Direct Memory Access |
+| RESTful | Representational State Transfer |
+| RPC | Remote Procedure Call |
+| SDN | Software-Defined Networking |
+| SMS | Short Message Service |
+| SQL | Structured Query Language |
+| VNF | Virtualized Network Function |
+| WAN | Wide Area Network |
+
+# **5 Conventions**
+
+None.
+
+# **6 Overview of COINO based on bDDN**
+
+## **6.1 Introduction of COINO**
+
+The rapid evolution of market conditions and operational models has significantly increased demands on intelligent network operations. With the advancements of new technologies such as IMT-2020, network slicing, multi-access edge computing (MEC) and the Internet of things (IoT), novel demands are emerging, driving profound transformations in networks. These changes encompass shifts in service targets, scenarios and business applications.
+
+The target groups of the network have become diversified, expanding from individual users to encompass IoT applications, the MEC industry and other emerging domains. The service scenarios now cover personal, family convergence, IoT, telematics and smart factory applications. Meanwhile, network applications are transitioning from traditional personal services (e.g., phone calls, SMS and Internet access) to advanced services, such as virtual reality, augmented reality cloud games and drones.
+
+In this context, COINO emerges as a critical solution. It leverages advanced technologies such as big data analytics, artificial intelligence (AI), and network automation to enable real-time, intelligent and dynamic optimization of network resources and service delivery. It represents the shift from network-oriented operation to customer-oriented operation. COINO relies on key enablers including software-
+
+defined networking (SDN), network functions virtualization (NFV), bDDN and other technologies. These technologies facilitate the collection, analysis and utilization of massive operational data, supporting closed-loop control and intelligent decision-making across heterogeneous networks.
+
+By implementing COINO, telecom operators can enhance customer satisfaction, improve service agility, boost operational efficiency, and unlock new business opportunities. In an increasingly competitive and digitalized market, COINO embodies a strategic evolution toward smarter, more adaptive, and customer-oriented network operations.
+
+## 6.2 Overview of COINO based on bDDN
+
+Figure 6-1 illustrates the high-level framework of COINO based on bDDN. COINO has four kinds of capabilities, which are then rapidly deployed on bDDN to enable COINO functionality.
+
+
+
+The diagram illustrates the high-level framework of COINO based on bDDN. It is structured as follows:
+
+- Capabilities of COINO (Top Layer):** A dashed box containing four main capabilities:
+ - Network monitoring** and **Service tracking** are connected by a rightward arrow.
+ - Both lead into a branching structure that connects to **Demand matching** and **Technical value enhancement**, which are connected by a vertical double-headed arrow.
+- bDDN (Center):** A central block labeled 'bDDN' is connected via dashed double-headed arrows to the 'Capabilities of COINO' box above and the 'Network plane' on the left.
+- Three-Plane Architecture (Main Body):**
+ - Network plane (Left):** Contains 'Application' and 'Network controller' blocks. A downward arrow points from this plane to the 'Network infrastructure' layer.
+ - Big data plane (Center):** A vertical stack of four layers: 'Data intelligence and service layer', 'Network big data analyser layer', 'Network big data repository layer', and 'Network big data sensing layer'. It has bidirectional arrows connecting it to the 'Network plane' and the 'Management plane'.
+ - Management plane (Right):** Contains 'Network marketing and operation', 'Network administration', and 'Network maintenance' blocks. A downward arrow points from this plane to the 'Network infrastructure' layer.
+- Network infrastructure (Bottom):** A wide green bar at the base of the architecture, receiving input from the Network and Management planes and providing a foundation for the Big data plane.
+
+Y.3661(25)
+
+Figure 6-1: High-level framework of COINO based on bDDN. The diagram shows a three-plane architecture (Network plane, Big data plane, Management plane) interacting with a central bDDN block and a bottom Network infrastructure layer. Above the bDDN block is a dashed box labeled 'Capabilities of COINO' containing 'Network monitoring', 'Service tracking', 'Demand matching', and 'Technical value enhancement'.
+
+**Figure 6-1 – High-level framework of COINO based on bDDN [ITU-T Y.3650]**
+
+Based on the three-plane architecture of bDDN, customer-oriented application acquires the network status and customer requirements through the big data plane, while the network plane and management plane employ AI and other algorithms to optimize the network and fulfil customer needs.
+
+COINO includes the following four kinds of capabilities [b-ITU-T Y.Sup50]:
+
+- **Network monitoring:** By building a real-time network operation situation-sensing system for equipment, networks, users and services, it provides real-time dynamic insight into network operation conditions from multiple dimensions;
+- **Service tracking:** By aggregating data sources, it captures service object information and customer experience. Through correlation analysis and model mining, it explores the personalized demands of service recipients across different spatial and temporal scenarios;
+
+- Demand matching: By leveraging network situation awareness and service object insight, AI can precisely evaluate network status and customers' requirements. This facilitates intelligent matching between network capabilities and customer demands through network self-adjustment, self-optimization and self-healing autonomy;
+- Technical value enhancement: Driven by advancements in big data and AI, COINO develops hierarchical intelligent capability-spanning connectivity, data processing and analytical tools, to deliver dynamic personalized services to further promote technical value enhancement.
+
+These capabilities can be implemented in bDDN and mapped to three planes, each of which will take over part of the business functions for accurate and efficient decision-making.
+
+# 7 Architecture of COINO based on bDDN
+
+Generally, COINO based on bDDN can be thought of as a class of services provided by bDDN. bDDN consists of the network plane, big data plane and management plane [ITU-T Y.3650]. In this Recommendation, COINO can provide four kinds of capabilities, according to capability characteristics. There are three kinds of implementation modes for COINO in bDDN, as follows:
+
+- Independent mode: COINO is implemented independent from bDDN. Figure 7-1 illustrates the architecture for the independent mode of COINO, COINO interaction with bDDN by the interface of bDDN. For the existing bDDN that add intelligent operation mechanism, using independent mode can reduce the modification to the original system and improve the deployment efficiency;
+
+
+
+Y.3661(25)
+
+Figure 7-1: Independent mode of COINO architecture diagram. The diagram shows COINO at the top, interacting with the bDDN block below it. The bDDN block is divided into three main planes: Management plane, Network plane, and Big data plane. The Management plane contains three aspects: Operation aspect (highlighted in blue), Administration aspect, and Maintenance aspect. The Network plane contains three layers: Application layer, Control layer, and Infrastructure layer. The Big data plane contains four layers: Intelligence and service layer, Network big data analyser layer, Network big data repository layer, and Network big data sensing layer. Bidirectional arrows indicate interactions between COINO and the Management plane, between the Management plane and both the Network and Big data planes, and between the Network and Big data planes.
+
+**Figure 7-1 – Independent mode of COINO**
+
+- Embedded mode: COINO is implemented within the management plane of bDDN. Figure 7-2 illustrates the architecture for the embedded mode. There are three aspects in the management plane, with COINO as a part of the operation aspect. This implementation mode is suitable for systems with high security requirements. Implementing COINO in the management plane can effectively control security risks;
+
+
+
+Figure 7-2: Embedded mode of COINO. This diagram shows the bDDN architecture with COINO embedded in the Management plane. The bDDN is enclosed in a dashed box and contains three main planes: Management, Network, and Big data. The Management plane includes 'Operation aspect', 'Administration aspect', and 'Maintenance aspect'. COINO is represented as a blue box within the 'Operation aspect'. The Network plane consists of 'Application layer', 'Control layer', and 'Infrastructure layer'. The Big data plane consists of 'Intelligence and service layer', 'Network big data analyser layer', 'Network big data repository layer', and 'Network big data sensing layer'. Bidirectional arrows connect the Management plane to both the Network and Big data planes. A bidirectional arrow also connects the Control layer to the Network big data analyser layer. The reference Y.3661(25) is at the bottom right.
+
+**Figure 7-2 – Embedded mode of COINO**
+
+- Parallel mode: COINO is implemented parallel to the management plane. Figure 7-3 illustrates the architecture for the parallel mode of COINO, which interacts with each plane in bDDN by interfaces of each plane. This deployment mode is suitable for systems with high decoupling requirements and realizes COINO by using relevant interfaces.
+
+
+
+Figure 7-3: Parallel mode of COINO. This diagram shows the bDDN architecture with COINO implemented parallel to the Management plane. The bDDN is enclosed in a dashed box and contains the same three main planes as Figure 7-2: Management, Network, and Big data. The Management plane includes 'Operation aspect', 'Administration aspect', and 'Maintenance aspect'. COINO is represented as a large blue box outside the bDDN dashed box. Bidirectional arrows connect the Management plane to COINO. Additionally, dashed bidirectional arrows connect COINO to each of the three planes (Management, Network, and Big data). The Network and Big data planes have the same internal structure as in Figure 7-2. A bidirectional arrow also connects the Control layer to the Network big data analyser layer. The reference Y.3661(25) is at the bottom right.
+
+**Figure 7-3 – Parallel mode of COINO**
+
+## 7.1 Architecture of the big data plane based on bDDN to realize COINO
+
+The big data plane is the core part of the bDDN architecture. It consists of four layers: the network big data sensing layer, the network big data repository layer, the network big data analyser layer and the data intelligence and service layer [ITU-T Y.3650].
+
+To achieve COINO, the additional components need to be attached to the original architecture.
+
+### 7.1.1 Network big data repository layer
+
+The network big data sensing layer collects complete datasets and transmits them to the repository layer. In the COINO, the encountered data scenarios exhibit highly complex hierarchies, necessitating systematic approaches to data organization, management and processing, for establishing structured data hierarchy [b-ITU-T Y.3651].
+
+As shown in Figure 7-4, the data in the warehouse is logically divided into three sub-layers: basic detailed sub-layer, data aggregation sub-layer and data mart sub-layer. Upper layer data processing depends on the lower layers' data outputs. These three sub-layers rely on structured data warehouse, semi-structured data repository and unstructured data repository. The hierarchical implementation enhances data organization, management and processing efficiency, ensuring the data system's orderliness.
+
+
+
+Figure 7-4: The architecture of network big data repository layer. The diagram shows a hierarchical structure within a box labeled 'Network big data repository layer'. At the top are three boxes: 'Structured data warehouse', 'Semi-structured data repository', and 'Unstructured data repository'. Below these is the 'Data mart sub-layer' (dashed red border) containing 'App label', 'Terminal label', 'User label', 'Network label', and an ellipsis. Below that is the 'Data aggregation sub-layer' (dashed red border) containing 'Fact table', 'DIM table', and 'Other tables'. Below that is the 'Data detailed sub-layer' (dashed red border), which is empty. At the bottom are two solid boxes: 'Big data resource pool' and 'Big data cache and queue'. Arrows point upwards from the 'Data detailed sub-layer' to the 'Data aggregation sub-layer', and from the 'Data aggregation sub-layer' to the 'Data mart sub-layer'. The 'Data mart sub-layer' also has arrows pointing up to the three top-level data repositories.
+
+Y.3661(25)
+
+Figure 7-4 – The architecture of network big data repository layer
+
+##### 7.1.1.1 Data detailed sub-layer
+
+The data sources in the data detailed sub-layer are extracted from business repositories, logs and other systems, and entered into this sub-layer after the extract, transform, load (ETL) process. This sub-layer provides raw data to subsequent sub-layers, reducing the impact of data analysis work on business systems. When the source data is loaded into this sub-layer, a series of operations such as denoising, de-duplication and field naming specification are performed. In order to consider the possible subsequent need for retroactive data issues, it is not recommended to do too much data cleansing work for this layer, according to the specific needs of the business.
+
+##### 7.1.1.2 Data aggregation sub-layer
+
+The data aggregation sub-layer performs advanced cleansing and normalization on data from the basic detailed sub-layer. In order to improve usability, this sub-layer usually adopts some dimension degradation methods to degrade dimensions to the fact table and reduce the association between the fact table and the dimension table. Aggregation operations are performed on the data, to generate some intermediate result tables to improve the reusability of the public indicators and reduce the duplication of the processing work.
+
+The data aggregation sub-layer contains various kinds of tables:
+
+- The fact table is the results table generated by data aggregation based on a certain dimension, in which a large amount of business metrics is stored. Usually, the data in the fact table is not allowed to be modified and new data is simply added to the fact table;
+- The dimension table, sometimes called the lookup table, is a kind of table corresponding to the fact table; it keeps the attribute values of dimensions and can be associated with the fact table, which is equivalent to extracting and standardizing the frequently recurring attributes on the fact table and managing them in one table;
+- Other tables.
+
+##### 7.1.1.3 Data mart sub-layer
+
+The data mart sub-layer implements multidimensional storage to serve specific functions or customer needs, including the definition of dimensions, indicators to be calculated, and the hierarchy of dimensions, to generate data cubes oriented to the needs of decision analysis. The data mart is the access layer of the data storage environment, which is used to provide data to the upper sub-layer applications.
+
+#### 7.1.1.4 Advantages of use in the hierarchical architecture
+
+- Clear data structure: each data layer has its role and responsibilities, which makes it easier to use and understand when maintaining;
+- Simplify complex problems: break down a complex task into multiple steps to complete it in steps, with each layer solving only a specific problem;
+- Uniform data calibre: through data layering, provide uniform data export and uniform output calibre;
+- Reduce duplicate development: standardizing data layering and developing a common middle layer can greatly reduce the duplicate computation work.
+
+#### 7.1.2 Network big data analyser layer
+
+The network big data analyser layer specified in [ITU-T Y.3653] comprises two parts: big data processing and management. Within COINO architecture, big data processing requires refinement to improve its capability in addressing customer demands. As shown in Figure 7-5, this part consists of three integrated service modules: the data access service module, the computing service module and the algorithm service module.
+
+
+
+The diagram illustrates the architecture of the network big data analyser layer. It is structured as a large container labeled 'Network big data processing part' on the left. Inside this container, there are three stacked service modules:
+
+- Algorithm service module**: Contains 'Pre-built algorithm library' and 'Model repositories'.
+- Computing service module**: Contains 'Batch processing engine', 'Stream processing engine', and 'Graph computing engine'.
+- Data access service module**: Contains 'Multi-source data adapters', 'Streaming and batch access interface', and 'Data quality inspection'.
+
+Y.3661(25)
+
+Architecture diagram of the network big data analyser layer showing three service modules: Algorithm, Computing, and Data access.
+
+**Figure 7-5 – The architecture of the network big data analyser layer**
+
+- Data access service module: this implements a multi-source adapter design that efficiently extracts data across all warehouse layers. It supports both streaming and batch access, through unified interfaces that integrate modern message-queuing technologies with traditional database connection protocols. The module also performs data quality validation, including schema verification, null value detection and outlier filtering, to ensure the delivery of clean, high-quality data for subsequent processing;
+- Computing service module: this operates through a comprehensive framework with specified processing engines. The batch processing engine enables offline analysis and model training, while the stream processing engine supports real-time computation with advanced event stream handling capabilities [b-ITU-T Y.3651]. Additionally, the graph computing engine facilitates complex analyses, such as network topology modelling and user relationship mapping, thereby enhancing the system's analytical depth and flexibility;
+- Algorithm service module: this offers a pre-built algorithm library spanning statistical analysis, machine learning and deep learning implementations. It maintains specialized model repositories for both network operations (supporting configuration management, predictive maintenance and performance optimization) and business services (enabling dynamic monitoring, intelligent resource allocation and customized industry solutions).
+
+This structure ensures agile adaption to diverse customer requirements for network resource allocation and service scenario customization.
+
+### 7.1.3 Data intelligence and service layer
+
+Figure 7-6 illustrates the architecture of the big data intelligence and service layer. This incorporates enhanced functionality within its service management module, introducing data heat analysis and model rationalization evaluation capabilities. Data heat analysis dynamically tracks the usage value of data assets, enabling optimized storage strategies and intelligent tagging logic. Model rationalization ensures a balanced trade-off between model performance, resource efficiency and regulatory compliance. These additions enable real-time monitoring of data utilization patterns across the system, facilitating workflow optimization for data tagging processes and supporting iterative improvements to tagging models. This integrated approach significantly improves both data utilization efficiency and the logical structuring of data tags.
+
+
+
+```
+
+graph TD
+ subgraph BigDataIntelligenceServiceLayer [Big data intelligence and service layer]
+ RequestManagement[Request management]
+ AccessControl[Access control]
+ ServiceManagement[Service management]
+
+ subgraph AutonomousActionPolicy [Autonomous action and policy]
+ DataHeatAssessment[Data heat and model rationalization assessment]
+ DataLabelingOptimization[Data labeling model iterative optimization]
+ end
+
+ LoadBalance[Load balance]
+ end
+
+```
+
+Y.3661(25)
+
+Architecture diagram of the big data intelligence and service layer. The diagram shows a central box labeled 'Big data intelligence and service layer'. Inside this box, there are three main components: 'Request management', 'Access control', and 'Service management' at the top. Below these is a large box labeled 'Autonomous action and policy', which contains two sub-boxes: 'Data heat and model rationalization assessment' and 'Data labeling model iterative optimization'. At the bottom of the main box is a box labeled 'Load balance'. The reference 'Y.3661(25)' is located at the bottom right of the diagram.
+
+**Figure 7-6 – The architecture of the big data intelligence and service layer**
+
+## 7.2 Architecture of the network plane based on bDDN to realize COINO
+
+The network plane architecture, as shown in Figure 7-7, supports the capabilities required for COINO. It consists of three layers: the infrastructure layer, the control layer and the application layer.
+
+In the infrastructure layer, cloud-enabled infrastructure can better support diverse and emerging businesses and meet the different needs of customers. In the control layer, network control and orchestration enable the flexible allocation of network resources and dynamic control on demand; in
+
+the application layer, it is required that the network is able to be programmed by the application flexibly.
+
+It is required to maintain the normal operation of the entire network while being adjustable, to meet individual user requirements in terms of resource allocation and service prioritization.
+
+
+
+Figure 7-7: The architecture of the network plane. This diagram illustrates a three-layer architecture: Application layer, Control layer, and Infrastructure layer, all interacting with a Big data plane on the right. The Application layer contains three 'Business application' boxes. The Control layer contains 'Service management', 'Multi-domain multi-network orchestration', and four controllers: 'WAN controller', 'Core network controller', 'Metro network controller', and 'Access network controller'. The Infrastructure layer contains 'Forwarding' devices and 'VNF' (Virtual Network Functions). Bidirectional arrows connect the layers. The Big data plane receives 'Computing and analytical requirement' and 'Intelligent service' from the Control layer, and 'Data collection interface' from the Infrastructure layer.
+
+**Figure 7-7 – The architecture of the network plane**
+
+## **7.3 Architecture of the network management plane based on bDDN to realize COINO**
+
+Figure 7-8 shows the architecture of the network management plane. The network operation in the network management plane undertakes external application service requests, which include network monitoring requests, service tracking requests, and demand matching requests. This layer can build relevant application services according to business requirements, and an application service can be translated into several functions and sent to the corresponding data intelligence and service layer.
+
+
+
+Figure 7-8: The architecture of the network management plane. This diagram shows a three-tier structure. The top tier is 'Network operation', which includes 'Network monitoring requests', 'Service tracking requests', 'Demand matching requests', and an ellipsis. The middle tier is 'Network administration'. The bottom tier is 'Network maintenance'.
+
+**Figure 7-8 – The architecture of the network management plane**
+
+- Network monitoring provides flexible filtering, matching, classification and traceability of network operation data, rapid diagnosis of network faults, precise positioning of faults and root cause analysis with corresponding communication service models and network topology, and fault prediction through continuous self-learning of historical data to improve processing efficiency and accuracy. Based on the knowledge graph for deep feature mining and learning, an intelligent optimization engine is built, based on the large language model,
+
+to drive the network to actively make decisions in real time, with active optimization and adjustment, enabling the network to be in the best working condition at all times.
+
+- Service tracking refers to the capability to continuously monitor and analyse user requirements, service usage patterns, and network interactions across the entire service lifecycle. Leveraging the comprehensiveness, multi-dimensionality, neutrality and completeness of telecommunications operators' big data, service tracking enables the deep profiling and multi-dimensional insight of users, by cross-correlating data across various domains.
+- Demand matching begins with service tracking, which enables the continuous capture of user requirements and service states to support the identification and prediction of user intentions. These insights are further refined and enriched into an intention library through intention learning. During the prediction process, multi-dimensional features are extracted and used as the input for data mining and AI modelling, enabling accurate expression of potential service demands and network capabilities.
+
+## 8 Mechanism for COINO based on bDDN
+
+## 8.1 The capabilities of COINO
+
+Figure 8-1 illustrates the modular capabilities of COINO and depicts the relationship between the four functional components.
+
+The four capabilities form an interdependent framework. Network monitoring serves as the foundational layer, providing real-time data on network status and performance. Service tracking builds upon this by capturing user behaviours and service usage patterns across the service lifecycle. These data inputs are then processed and interpreted by the demand matching capability which identifies and predicts user intentions, transforming raw data into meaningful service insights. Finally, technical value enhancement synthesizes all prior insights into intelligent actions that improve network efficiency, user satisfaction and operational agility.
+
+In summary, the four capabilities operate forming a closed-loop system that enables COINO.
+
+
+
+```
+
+graph LR
+ subgraph NM [Network monitoring]
+ NM1[System-wide]
+ NM2[Scenario-based]
+ NM3[Business-oriented]
+ NM4[...]
+ end
+ subgraph ST [Service tracking]
+ ST1[Continuous service perception]
+ ST2[Lifecycle management]
+ ST3[Endpoints]
+ ST4[...]
+ end
+ subgraph DM [Demand matching]
+ DM1[Planning]
+ DM2[Maintenance]
+ DM3[Optimization]
+ DM4[...]
+ end
+ subgraph TE [Technical value enhancement]
+ TE1[Complaint semantic understanding]
+ TE2[User intent recognition]
+ TE3[End-to-end real-time analytics]
+ TE4[...]
+ end
+ NM --> ST
+ ST --> DM
+ ST --> TE
+ DM --> TE
+
+```
+
+Y.3661(25)
+
+Figure 8-1: The capabilities of COINO. The diagram shows a flow from Network monitoring to Service tracking, then to Demand matching and Technical value enhancement. Network monitoring includes System-wide, Scenario-based, Business-oriented, and ... Service tracking includes Continuous service perception, Lifecycle management, Endpoints, and ... Demand matching includes Planning, Maintenance, Optimization, and ... Technical value enhancement includes Complaint semantic understanding, User intent recognition, End-to-end real-time analytics, and ...
+
+**Figure 8-1 – The capabilities of COINO**
+
+### 8.1.1 Network monitoring
+
+- This supports multi-dimensional real-time sensing of equipment status, performance indicators, engineering parameters and other operating conditions of various networks, providing real-time insight into network operating conditions;
+- It supports network monitoring for over 10 key scenarios, such as campus, residential, high-speed railway and station environments. Each scenario follows specific performance
+
+indicators and monitoring methods. All data sources are collected into the big data layer through bDDN, providing strong support for the real-time control of the network status;
+
+- It supports network state perception in many new application scenarios, such as large bandwidth, low latency and multi-connection.
+
+### **8.1.2 Service tracking**
+
+- This supports 24/7 user-level business monitoring. Based on the algorithm model, through the understanding and prediction of user intentions, the next actions or behaviours of the customer can be learned, so as to plan the network capability set for customers to enable differentiated business experiences;
+- It manages the whole life cycle of the customer, such as network access, business changes, package upgrades, complaints and satisfaction feedback, and makes targeted package signings and transfers, off-grid warnings, and business value-added strategies through service target intention mining and prediction, to improve user perception experience and market operation efficiency and promote operators' business form and market space diversification development;
+- It not only supports the business perception of "people", but also supports the user-level business perception of various IoT. Through correlation analysis and model mining, the service perception evaluation under the multi-mode scenario is realized.
+
+### **8.1.3 Demand matching**
+
+- Through network monitoring and service tracking, customer needs can be satisfied from the perspective of planning, construction and maintenance, the matching between limited investment budget and numerous network construction needs can be realized, as well as the matching of excellent key performance indicators (KPIs) and excellent business perception;
+- With the continuous enrichment of various new business data, the limitations of traditional means in creating value and solving dynamic problems of new business are becoming more and more obvious. By introducing AI and automation, the ability of data analysis and decision-making is enhanced, the visibility and insight of business and operations are improved as well as business efficiency, performance quality is guaranteed, and the needs of multiple scenarios, such as multiform network coverage, interference, rate, capacity and parameters, are realized;
+- With the continuous improvement of the network, the application scenarios are more diversified and the service objects are changing from individual customers to business customers. The products are not limited to individuals but can also provide reliable network services according to the business needs of industries and enterprises, and subdivision industry solutions, such as intelligent factory, intelligent power, intelligent steel and intelligent port, are launched for vertical industries.
+
+### **8.1.4 Technical values enhancement**
+
+- Complaint semantic understanding refers to the use of natural language processing (NLP) techniques to deeply analyse and interpret the meaning behind user complaints. It aims to extract structured information, such as issue type, sentiment and affected service or product, enabling organizations to respond more effectively and identify systemic problems.
+- User intent recognition is a critical component in conversational AI systems. It involves identifying the underlying goal or purpose of a user's input, such as making a reservation, asking for help or requesting information. Accurate intent detection enables systems to provide more relevant and personalized responses.
+- End-to-end real-time analytics refers to an analytics system where data is processed, analysed and turned into actionable insights in real time, from ingestion to decision-making. This
+
+enables organizations to respond instantly to changing conditions, detect anomalies and optimize operations dynamically.
+
+## 8.2 The methods used in COINO based on bDDN
+
+### 8.2.1 Network monitoring method
+
+The service requests of COINO are received by the operation layer of the management plane and the tasks are issued by this layer. Figure 8-2 illustrates the comprehensive method of network monitoring, encompassing various stages and components that ensure effective management and analysis of network data. Network monitoring tasks are finally distributed to the network infrastructure layer and the network controller layer of the network plane, and network administration and network maintenance of the management plane, through the network big data analyser layer, network big data repository layer and network big data sensing layer in the big data plane. The network big data sensing layer collects the data of network status, performance and capacity, and other data of full system, full scenario and full business, which comes from the network infrastructure layer and the network controller layer in the network plane, and the network administration and network maintenance in the management plane. According to the business requirements, for rapid and convenient data visualization or data analysis, the collected data will be stored in layers. The network big data analyser layer predicts and extrapolates the operational situation of each part of the network through AI modelling, and provides proactive prediction, rapid sensing and early prevention of network failures.
+
+
+
+Figure 8-2: The network monitoring method. This diagram illustrates the flow of network monitoring tasks and data. On the left, a dashed box labeled 'Task confirmation' points to a large grey box labeled 'Task distribution'. Below this, two dashed boxes labeled 'Big data plane' and 'Management plane' are shown. In the center, a vertical stack of boxes represents the data processing layers: 'Management plane (Network operation)', 'Big data plane (Network big data analyser layer)', 'Big data plane (Network big data repository layer)', and 'Big data plane (Network big data sensing layer)'. These are connected by bidirectional arrows. At the bottom, a box labeled 'Management plane (Network administration) (Network maintenance)' and 'Network plane (Network infrastructure) (Network controller)' is shown. On the right, a dashed box labeled 'Result feedback' points to a dashed box labeled 'Data analysis', which points to a dashed box labeled 'Data storage', which points to a dashed box labeled 'Data acquisition'. A dashed line connects the 'Data acquisition' box to the 'Task distribution' box. The reference 'Y.3661(25)' is at the bottom right.
+
+Figure 8-2 – The network monitoring method
+
+### 8.2.2 Service tracking method
+
+Figure 8-3 illustrates the comprehensive method of service tracking within bDDN, focusing on how continuous monitoring and lifecycle management are implemented to ensure high levels of service quality and operational efficiency. The service tracking class task collects customer-related data through the network big data sensing layer and constructs a fused database by integrating data from the business domain, operation domain and other relevant domains. This enables the system to obtain the attributes and service experience of various types of service objects. Additionally, the task obtains customer-related application information currently in use through the application layer of the network plane. Through correlation analysis and model mining, the service perception evaluation is realized
+
+under the multi-mode scenario. The relationship description, intention inference and decision prediction are carried out for different entities, and the personalized demands of service objects in various spatial and temporal scenarios are explored in depth.
+
+
+
+Figure 8-3: The service tracking method. This diagram illustrates a multi-layered service tracking architecture. On the left, a vertical dashed box labeled 'Task distribution' receives input from 'Task confirmation' (dashed box) and sends output to 'Task distribution' (solid box). Below this, a dashed box contains 'Big data plane' and 'Management plane'. In the center, a stack of five solid boxes represents the network layers: 'Management plane (Network operation)', 'Big data plane (Network big data analyser layer)', 'Big data plane (Network big data repository layer)', 'Big data plane (Network big data sensing layer)', and 'Network plane (Network infrastructure) (Application)'. These layers are interconnected by bidirectional arrows. On the right, a vertical dashed box labeled 'Result feedback' receives input from 'Data analysis' (dashed box), which in turn receives input from 'Data storage' (dashed box), which receives input from 'Data acquisition' (dashed box). A dashed line connects the 'Task distribution' box to the 'Data acquisition' box. The reference 'Y.3661(25)' is located at the bottom right.
+
+**Figure 8-3 – The service tracking method**
+
+### 8.2.3 Demand matching method
+
+Figure 8-4 provides a detailed overview of the method of demand matching within bDDN. This figure illustrates how various components and processes work together to ensure that network resources are effectively allocated and managed in response to user demands [b-ITU-T Y.3656]. The demand matching is completed on top of the network monitoring and service tracking. Based on the existing tasks to obtain data, models, analysis results, etc., it is supplemented with relevant data and analysis means of application scenarios to automatically translate, the business intent of service objects into network language. This process generates hierarchical network parameters and configuration adjustment strategies, which are then sent to the management plane. Through the operation, administration and maintenance (OAM) interface, the management plane schedules and controls the network plane, ultimately realizing reasonable resource scheduling, problem effective demarcation, driving network self-adjustment, self-optimization and self-healing autonomy, and achieving intelligent matching of network capacity and customer demands.
+
+
+
+A complex architectural diagram illustrating the demand matching method across three planes: Network plane, Big data plane, and Management plane. The central flow shows a vertical stack of Big data plane layers: sensing, repository, and analyser, flanked by 'Task distribution' on the left and a data processing pipeline (acquisition, storage, analysis) on the right. The top of the diagram features Network plane components (infrastructure, controller, application) and Management plane components (operation, administration, maintenance). Control flows are indicated by solid and dashed arrows, showing a closed-loop system from task distribution to result feedback and self-healing network orchestration.
+
+**Figure 8-4 – The demand matching method**
+
+Figure 8-4 – The demand matching method
+
+### 9 The interface abilities for COINO based on bDDN
+
+The interface of the COINO mechanism mainly involves three parts: external interface, interfaces between planes and interfaces between layers.
+
+#### 9.1 External interface
+
+The external interface serves as the core hub for interactions between the bDDN system and external business environments, establishing a multi-layered protocol support framework through the *iBE* interface, as shown in Figure 9-1.
+
+
+
+A simple block diagram showing 'bDDN' at the top connected to 'External business system' at the bottom via a vertical line labeled 'iBE'.
+
+**Figure 9-1 – The interface between bDDN and external business systems**
+
+Figure 9-1 – The interface between bDDN and external business systems
+
+The system supports both traditional lightweight protocols, such as hypertext transfer protocol (HTTP)/representational state transfer (RESTful), which are suitable for low-frequency, small-payload request reception scenarios, and high-throughput communication mechanisms designed for high-frequency, large-data-volume result delivery. It also supports modern protocol stacks: HTTP/2
+
+14 Rec. ITU-T Y.3661 (08/2025)
+
+significantly enhances transmission efficiency through connection multiplexing and flow control mechanisms; the high-performance remote procedure call (RPC) framework enables cross-language high-performance service calls via Protocol Buffers serialization; WebSocket establishes full-duplex communication channels, providing infrastructure for real-time data.
+
+For data formats, the system adopts standardized specifications to ensure interoperability: structured data undergoes rigorous validation; semi-structured data is encoded in optimized binary formats that support efficient serialization and storage compression; time-series data is processed using a dedicated line-based protocol designed for high-precision temporal handling. This comprehensive protocol and data format support enables the system to flexibly adapt to diverse business interaction scenarios.
+
+## 9.2 The interfaces between planes in bDDN
+
+The interfaces between planes in bDDN are *iBN*, *iBM*, *iNM* [ITU-T Y.3650], as shown in Figure 9-2.
+
+
+
+```
+
+graph TD
+ BDP[Big data plane] ---|iBN| NP[Network plane]
+ BDP ---|iBM| MP[Management plane]
+ NP ---|iNM| MP
+
+```
+
+Y.3661(25)
+
+Diagram showing the interfaces between planes in bDDN. The Big data plane is at the top, connected to the Network plane (left) and the Management plane (right) by lines labeled iBN and iBM respectively. The Network plane and the Management plane are connected to each other by a line labeled iNM.
+
+**Figure 9-2 – The interfaces between planes in bDDN**
+
+The system architecture shall incorporate high-performance data transfer protocols, to maximize operational efficiency, including support for columnar storage formats with advanced compression and encoding schemes to optimize data transfer and memory utilization. For network communications, the implementation shall support high-speed protocols, such as remote direct memory access (RDMA) and InfiniBand, particularly in high-performance computing environments, to enable low-latency, memory-to-memory data transfers, while minimizing communication overhead. This integrated approach of optimized storage formats and high-performance networking ensures efficient data processing with minimal resource consumption.
+
+## 9.3 The interfaces between layers in big data plane
+
+Within the big data plane, the interface between the network big data repository layer and the network big data analyser layer is represented by *iAS*, as shown in Figure 9-3.
+
+
+
+```
+
+graph TD
+ NBDAL[Network big data analyser layer] ---|iAS| NBDRL[Network big data repository layer]
+
+```
+
+Y.3661(25)
+
+Diagram showing the interface between layers in the big data plane. The Network big data analyser layer is at the top, connected to the Network big data repository layer below it by a vertical line labeled iAS.
+
+**Figure 9-3 – The interface between the network big data analyser layer and the network big data repository layer**
+
+The interface follows widely recognized communication methods, such as structured query language (SQL) and not only structured query language (NoSQL), RESTful application programming interfaces (APIs) and RPC frameworks. It is designed to efficiently transfer, process and format data for different analysis needs. The interface needs to be flexible and efficient to accommodate different
+
+types, sizes and sources of data, and to be able to seamlessly integrate into different learning modes, both online and offline.
+
+- Offline learning typically involves working with large static datasets. The interface to the data needs to support batch data loading, pre-processing and formatting capabilities, to transform the data into the form of inputs required by the model. The interface may include access to big data storage systems and support for dataset partitioning.
+- Online learning requires the ability to process incoming data in real time. The interface to the data needs to have low-latency, real-time access and support streaming data processing. This may involve access to real-time data streams.
+
+# **10 Security considerations**
+
+When applying COINO in bDDN, security best practices should be adopted, such as authentication, authorization and access control, as described in [b-ITU-T Y.2704].
+
+This Recommendation involves base station data, network performance data, service quality data, and application KPIs, to support customer-oriented decision-making and dynamic resource optimization. Customer data is neither accessed nor inspected. In addition, the big data used to implement requirements related to the COINO mechanism in bDDN should be protected in order to avoid it leaking and being destroyed.
+
+## Bibliography
+
+- [\[b-ITU-T Y.2704\]](#) Recommendation ITU-T Y.2704 (2010), *Security mechanisms and procedures for NGN*.
+- [\[b-ITU-T Y.3651\]](#) Recommendation ITU-T Y.3651 (2018), *Big-data-driven networking - mobile network traffic management and planning*.
+- [\[b-ITU-T Y.3656\]](#) Recommendation ITU-T Y.3656 (2023), *Big data driven networking-mechanism of network service provisioning*.
+- [\[b-ITU-T Y.Sup50\]](#) Supplement 50 (2018), ITU-T Y.3650-series, *Use case and application scenario for big-data-driven networking*.
+
+
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+# ITU-T
+
+TELECOMMUNICATION
+STANDARDIZATION SECTOR
+OF ITU
+
+## Y.3809
+
+(02/2022)
+
+SERIES Y: GLOBAL INFORMATION
+INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS,
+NEXT-GENERATION NETWORKS, INTERNET OF
+THINGS AND SMART CITIES
+
+Quantum key distribution networks
+
+# --- **A role-based model in quantum key distribution networks deployment**
+
+Recommendation ITU-T Y.3809
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+## GLOBAL INFORMATION INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS, NEXT-GENERATION NETWORKS, INTERNET OF THINGS AND SMART CITIES
+
+## GLOBAL INFORMATION INFRASTRUCTURE
+
+| | |
+|-------------------------------------------|-------------|
+| General | Y.100–Y.199 |
+| Services, applications and middleware | Y.200–Y.299 |
+| Network aspects | Y.300–Y.399 |
+| Interfaces and protocols | Y.400–Y.499 |
+| Numbering, addressing and naming | Y.500–Y.599 |
+| Operation, administration and maintenance | Y.600–Y.699 |
+| Security | Y.700–Y.799 |
+| Performances | Y.800–Y.899 |
+
+## INTERNET PROTOCOL ASPECTS
+
+| | |
+|--------------------------------------------------------------------|---------------|
+| General | Y.1000–Y.1099 |
+| Services and applications | Y.1100–Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200–Y.1299 |
+| Transport | Y.1300–Y.1399 |
+| Interworking | Y.1400–Y.1499 |
+| Quality of service and network performance | Y.1500–Y.1599 |
+| Signalling | Y.1600–Y.1699 |
+| Operation, administration and maintenance | Y.1700–Y.1799 |
+| Charging | Y.1800–Y.1899 |
+| IPTV over NGN | Y.1900–Y.1999 |
+
+## NEXT GENERATION NETWORKS
+
+| | |
+|-------------------------------------------------------------------|---------------|
+| Frameworks and functional architecture models | Y.2000–Y.2099 |
+| Quality of Service and performance | Y.2100–Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200–Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250–Y.2299 |
+| Enhancements to NGN | Y.2300–Y.2399 |
+| Network management | Y.2400–Y.2499 |
+| Computing power networks | Y.2500–Y.2599 |
+| Packet-based Networks | Y.2600–Y.2699 |
+| Security | Y.2700–Y.2799 |
+| Generalized mobility | Y.2800–Y.2899 |
+| Carrier grade open environment | Y.2900–Y.2999 |
+
+## FUTURE NETWORKS
+
+### CLOUD COMPUTING
+
+### BIG DATA
+
+### QUANTUM KEY DISTRIBUTION NETWORKS
+
+Y.3800–Y.3999
+
+### INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES
+
+| | |
+|---------------------------------------------------------|---------------|
+| General | Y.4000–Y.4049 |
+| Definitions and terminologies | Y.4050–Y.4099 |
+| Requirements and use cases | Y.4100–Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250–Y.4399 |
+| Frameworks, architectures and protocols | Y.4400–Y.4549 |
+| Services, applications, computation and data processing | Y.4550–Y.4699 |
+| Management, control and performance | Y.4700–Y.4799 |
+| Identification and security | Y.4800–Y.4899 |
+| Evaluation and assessment | Y.4900–Y.4999 |
+
+For further details, please refer to the list of ITU-T Recommendations.
+
+# Recommendation ITU-T Y.3809
+
+# A role-based model in quantum key distribution networks deployment
+
+## Summary
+
+Recommendation ITU-T Y.3809 describes roles, a role-based model and service scenarios in quantum key distribution networks (QKDN) from different deployment and operation perspectives within existing user networks for supporting security applications services.
+
+This Recommendation can be used as a guideline for applying QKDN from a role point of view as well as for deployment and operation of QKDN from a telecom operators' point of view.
+
+## History
+
+| Edition | Recommendation | Approval | Study Group | Unique ID* |
+|---------|----------------|------------|-------------|---------------------------------------------------------------------------|
+| 1.0 | ITU-T Y.3809 | 2022-02-13 | 13 | 11.1002/1000/14866 |
+
+## Keywords
+
+QKDN, role-based model, service scenarios.
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID. For example, .
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents/software copyrights, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the appropriate ITU-T databases available via the ITU-T website at .
+
+© ITU 2022
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | Page |
+|------------------------------------------------------------|------|
+| 1 Scope..... | 1 |
+| 2 References..... | 1 |
+| 3 Definitions ..... | 1 |
+| 3.1 Terms defined elsewhere..... | 1 |
+| 3.2 Terms defined in this Recommendation..... | 2 |
+| 4 Abbreviations and acronyms ..... | 2 |
+| 5 Conventions ..... | 2 |
+| 6 Roles in QKDN for security application services..... | 2 |
+| 6.1 Security application service user ..... | 2 |
+| 6.2 Security application service provider ..... | 2 |
+| 6.3 QKDN provider ..... | 2 |
+| 6.4 QKDN management provider..... | 3 |
+| 6.5 User network provider ..... | 3 |
+| 6.6 International scenarios..... | 3 |
+| 7 Role-based models and service scenarios..... | 4 |
+| 7.1 Model 1..... | 4 |
+| 7.2 Model 2..... | 5 |
+| 7.3 Model 3..... | 5 |
+| 7.4 Model 4..... | 6 |
+| 7.5 Model 5..... | 7 |
+| 7.6 Model 6..... | 8 |
+| 7.7 Model 7..... | 8 |
+| 8 Security considerations..... | 9 |
+| Appendix I – Implementation description of QKDN roles..... | 10 |
+| I.1 Introduction ..... | 10 |
+| I.2 Existing structure..... | 10 |
+| I.3 Mapping process..... | 10 |
+| Bibliography..... | 12 |
+
+
+
+# Recommendation ITU-T Y.3809
+
+# A role-based model in quantum key distribution networks deployment
+
+## 1 Scope
+
+This Recommendation describes roles, a role-based model, and service scenarios in quantum key distribution networks (QKDN) from different deployment and operation perspectives. This Recommendation identifies various models that require security application services with QKDN and exiting user networks.
+
+This Recommendation can be used as a guideline for applying service scenarios that globally utilize QKDN from a role point of view as well as for deployment and operation of QKDN from a telecom operators' point of view in an international context.
+
+This Recommendation does not identify, in an exhaustive manner, all roles, a role-based model and service scenarios of QKDN.
+
+## 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+None.
+
+## 3 Definitions
+
+### 3.1 Terms defined elsewhere
+
+This Recommendation uses the following terms defined elsewhere:
+
+**3.1.1 key manager (KM)** [b-ITU-T Y.3800]: A functional module located in a quantum key distribution (QKD) node to perform key management in the key management layer.
+
+**3.1.2 quality of service (QoS)** [b-ITU-T P.10]: The totality of characteristics of a telecommunications service that bear on its ability to satisfy the stated and implied needs of the user of the service (see [b-ITU-T E.800]).
+
+**3.1.3 quantum key distribution (QKD)** [b-ETSI GR QKD 007]: Procedure or method for generating and distributing symmetrical cryptographic keys with information theoretical security based on quantum information theory.
+
+**3.1.4 quantum key distribution network (QKDN)** [b-ITU-T Y.3800]: A network comprised of two or more quantum key distribution (QKD) nodes connected through QKD links and optionally KM links for sharing and/or relaying keys between QKD nodes.
+
+**3.1.5 service level agreement** [b-ITU-T Y.1401]: A negotiated agreement between an end user and the service provider. Its significance varies depending on the service offerings. The service level agreement (SLA) may include a number of attributes such as, but not limited to, traffic contract, availability, performance, encryption, authentication, pricing and billing mechanism, etc.
+
+**3.1.6 user network** [b-ITU-T Y.3800]: A network in which cryptographic applications consume keys supplied by a quantum key distribution (QKD) network.
+
+### **3.2 Terms defined in this Recommendation**
+
+None.
+
+## **4 Abbreviations and acronyms**
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|--------|-------------------------------------------------------------|
+| FCAPS | Fault, Configuration, Accounting, Performance, and Security |
+| ICT | Information and Communication Technology |
+| KM | Key Manager |
+| QKD | Quantum Key Distribution |
+| QKDN | Quantum Key Distribution Network |
+| QKDNmp | Quantum Key Distribution Network Management Provider |
+| QKDNp | Quantum Key Distribution Network Provider |
+| QoS | Quality of Service |
+| SASP | Security Application Service Provider |
+| SASU | Security Application Service User |
+| SLA | Service Level Agreement |
+| UNP | User Network Provider |
+
+## **5 Conventions**
+
+None.
+
+# **6 Roles in QKDN for security application services**
+
+Telecommunication operations, QKDN operators, or other relevant stakeholders in information and communication technology (ICT) environments can act as players in QKDN roles. Players are involved in security application service-related activities with the QKDN environment. Each player plays at least one role. However, in some cases, one player can play more than one role at the same time. The identified roles related to security application services are shown in Figure 6-1, and the interfaces are described in Table 6-1.
+
+### **6.1 Security application service user**
+
+The security application service user (SASU) uses the application(s) provided by the security application service provider (SASP).
+
+### **6.2 Security application service provider**
+
+The security application service provider is the consumer of the keys provided by the QKDN key managers (KM). Furthermore, the security application service provider is responsible for providing secure services to security application service users. These services are running on network services provided by the user network provider (UNP).
+
+### **6.3 QKDN provider**
+
+The QKDN provider provides key distribution including managing lifecycle of keys and providing these keys.
+
+### 6.4 QKDN management provider
+
+The QKDN management provider is responsible to manage QKDN resources.
+
+### 6.5 User network provider
+
+The user network provider is the owner of the user network.
+
+## 6.6 International scenarios
+
+The deployment of the above roles in the scenarios that are described in clause 7 shall, in an international implementation, need to conform to national regulatory and legal frameworks in the country where they are deployed.
+
+
+
+Figure 6-1: The players of roles in QKDN deployment. This diagram illustrates the interactions between five roles: Security application service user, Security application service provider, User network provider, QKDN management provider, and QKDN provider. The roles are arranged in a grid. Interactions are shown as follows: 1. Security application service user and Security application service provider are connected by a bidirectional arrow labeled 'sasus-sasp'. 2. Security application service provider and QKDN provider are connected by a bidirectional arrow labeled 'sasp-QKDNp'. 3. User network provider and QKDN management provider are connected by a bidirectional arrow labeled 'QKDNmp-unp'. 4. User network provider and QKDN provider are connected by a bidirectional arrow labeled 'unp-QKDNp'. 5. QKDN management provider and QKDN provider are connected by a bidirectional arrow labeled 'QKDNmp-QKDNp'. 6. There are two self-loop arrows: one on QKDN management provider labeled 'QKDNmp-QKDNmp' and one on QKDN provider labeled 'QKDNp-QKDNp'. 7. A long arrow points from Security application service provider to QKDN provider, labeled 'sasus-QKDNp'. A legend at the bottom indicates that a double-headed arrow represents an 'Interface between two players' and a self-loop arrow represents an 'Interface between the same players'.
+
+**Figure 6-1 – The players of roles in QKDN deployment**
+
+**Table 6-1 – Interfaces for roles in QKDN deployment**
+
+| Interface | Roles | Interactions via the interface |
+|--------------|-----------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| sasu-sasp | Security application service user and security application service provider | The security application service user interacts with the security application service provider to protect its data using the security application based on corresponding service level agreements (SLAs), providing corresponding payments when necessary. |
+| sasp-QKDNp | Security application service provider and QKDN provider | The security application service provider interacts with the QKDN provider to consume keys for performing security services based on the corresponding SLAs, providing corresponding payments when necessary. |
+| QKDNmp-QKDNp | QKDN management provider and QKDN provider | The QKDN management provider interacts with the QKDN provider to monitor and manage QKDN infrastructures based on requirements including quality of service (QoS), fault, configuration, accounting, performance, and security (FCAPS), pricing, etc. |
+
+**Table 6-1 – Interfaces for roles in QKDN deployment**
+
+| Interface | Roles | Interactions via the interface |
+|---------------|-----------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| QKDNmp-unp | QKDN management provider and user network provider | The QKDN management provider interacts with the user network provider to orchestrate the consumption of keys based on corresponding SLAs, providing corresponding payments when necessary. |
+| sasp-unp | Security application service provider and user network provider | The security application service provider interacts with the user network provider to access the user network for securely transferring data based on corresponding SLAs, providing corresponding payments when necessary. |
+| unp-QKDNp | User network provider and QKDN provider | The user network provider directly requests keys for its own purpose (e.g., enhancing network level security, etc.) based on corresponding SLAs, providing corresponding payments when necessary. |
+| sasu-QKDNp | Security application service user and QKDN provider | The security application service user directly requests keys for satisfying its security requirements based on corresponding SLAs, providing corresponding payments when necessary. |
+| QKDNmp-QKDNmp | QKDN management providers | QKDN management providers exchange information for jointly managing QKDN such as quantum, key, and control layer management, including FCAPS, QoS, pricing, etc. |
+| QKDNp-QKDNp | QKDN providers | QKDN providers exchange the keys and information for properly handling the keys, including QoS, pricing, etc. |
+
+NOTE – An SLA can also be established between the providers.
+
+# 7 Role-based models and service scenarios
+
+Based on the roles identified in clause 6, this clause provides some service scenarios that utilize QKDN from a role point of view as well as for deployment and operation of QKDN from telecom operators' point of view.
+
+This clause does not identify, in an exhaustive manner, all role-based models and service scenarios of a QKDN.
+
+### 7.1 Model 1
+
+In this model, there is one player in addition to the security application service user.
+
+Player A plays four roles: security application service provider, user network provider, QKDN provider, and QKDN management provider.
+
+
+
+Figure 7-1 – Model 1 for QKDN based security application services. This diagram shows a single player, Player A, fulfilling multiple roles. On the left, a box labeled 'User network provider: Player A' is connected by a double-headed arrow to a box labeled 'QKDN management provider: Player A' below it. On the right, a box labeled 'Security application service user' is connected by a double-headed arrow to a box labeled 'Security application service provider: Player A' below it. Further down on the right is a box labeled 'QKDN provider: Player A'. Arrows indicate the flow of data and keys: a double-headed arrow between 'User network provider' and 'Security application service provider'; a double-headed arrow between 'Security application service provider' and 'QKDN provider'; a double-headed arrow between 'QKDN management provider' and 'QKDN provider'; and a single-headed arrow pointing from 'User network provider' to 'QKDN provider'. A reference code 'Y.3809(22)' is located at the bottom right of the diagram.
+
+**Figure 7-1 – Model 1 for QKDN based security application services**
+
+#### **A service scenario for model 1**
+
+Player A is a security application service provider. Player A also provides a telecom network service as well as a QKDN infrastructure providing QKDN related key management and distribution. In this scenario, player A provides a security application service to the users (i.e., security application service users) by using the keys provided by the same player. The keys are transferred through a QKDN of player A provided by the same player. Data for the security application service are transferred through a telecommunication network which is also provided by player A.
+
+### **7.2 Model 2**
+
+In this model, there are two players in addition to the security application service user.
+
+Player A plays the role of a security application service provider.
+
+Player B plays three roles: user network provider, QKDN provider, and QKDN management provider.
+
+
+
+Figure 7-2 – Model 2 for QKDN based security application services. This diagram shows two players, Player A and Player B, with distinct roles. On the left, a box labeled 'User network provider: Player B' is connected by a double-headed arrow to a box labeled 'QKDN management provider: Player B' below it. On the right, a box labeled 'Security application service user' is connected by a double-headed arrow to a box labeled 'Security application service provider: Player A' below it. Further down on the right is a box labeled 'QKDN provider: Player B'. Arrows indicate the flow of data and keys: a double-headed arrow between 'User network provider' and 'Security application service provider'; a double-headed arrow between 'Security application service provider' and 'QKDN provider'; a double-headed arrow between 'QKDN management provider' and 'QKDN provider'; and a single-headed arrow pointing from 'User network provider' to 'QKDN provider'. A reference code 'Y.3809(22)' is located at the bottom right of the diagram.
+
+**Figure 7-2 – Model 2 for QKDN based security application services**
+
+#### **A service scenario for model 2**
+
+Player A is a security application service provider. Player B is a telecom network operator and a QKDN infrastructure company that provides QKDN related key management and distribution. In this scenario, player A provides a security application service to the users (i.e., security application service users) by using keys provided by player B. The keys are transferred through a QKDN of player B provided by the same player. Data for the security application service is transferred through the telecommunication network which is also provided by player B.
+
+### **7.3 Model 3**
+
+In this model, there are three players in addition to the security application service user.
+
+Player A plays the role of a security application service provider.
+
+Player B plays the role of a user network provider.
+
+Player C plays two roles: QKDN provider and QKDN management provider.
+
+
+
+```
+graph TD
+ User[Security application service user] <--> ProviderA[Security application service provider: Player A]
+ UserNet[User network provider: Player B] <--> MgmtC[QKDN management provider: Player C]
+ UserNet <--> ProviderC[QKDN provider: Player C]
+ MgmtC <--> ProviderC
+ ProviderA <--> ProviderC
+ ProviderC --> User
+```
+
+Y.3809(22)
+
+Figure 7-3 – Model 3 for QKDN based security application services. The diagram shows five entities in boxes: 'Security application service user' at the top; 'Security application service provider: Player A' below it; 'User network provider: Player B' to the left of Player A; 'QKDN management provider: Player C' below Player B; and 'QKDN provider: Player C' to the right of Player C. Bidirectional arrows connect 'Security application service user' and 'Security application service provider: Player A'; 'User network provider: Player B' and 'QKDN management provider: Player C'; 'User network provider: Player B' and 'QKDN provider: Player C'; 'QKDN management provider: Player C' and 'QKDN provider: Player C'; and 'Security application service provider: Player A' and 'QKDN provider: Player C'. A long arrow points from 'QKDN provider: Player C' to 'Security application service user'. The label 'Y.3809(22)' is at the bottom right.
+
+**Figure 7-3 – Model 3 for QKDN based security application services**
+
+#### **Service scenario 1 for model 3**
+
+Player A is a security application service provider. Player B is a telecom network operator. Player C is a QKDN infrastructure company that provides QKDN related key management and distribution. In this use case, player A provides a security application service to the users (i.e., security application service users) by using the keys provided by player C through the telecommunication network provided by player B.
+
+#### **Service scenario 2 for model 3**
+
+Player A is an application provider with security functionality. Player B is a telecom network operator. Player C is the QKDN infrastructure company that provides QKDN related key management and distribution. Users 1, 2, ..., n are security application service users containing different service requirement attributes (such as service mode (e.g., periodic or long-term), service levels (e.g., high or low traffic demand), etc.). In this scenario, when the service requests come, player A divides the users 1, ..., n into multiple services according to the users' service requirement attributes, and then player A provides security application services to the users by using the key provided by player C. Player C controls the key supply to the security application users according to the different service attributes. Data for security applications using keys are transferred through the telecommunication network provided by player B.
+
+### **7.4 Model 4**
+
+In this model, there are four players in addition to the security application service user.
+
+Player A plays the role of a security application service provider.
+
+Player B plays the role of a user network provider.
+
+Player C plays two roles: QKDN provider and QKDN management provider.
+
+Player D plays the role of a QKDN provider.
+
+
+
+Figure 7-4: Model 4 for QKDN based security application services. This block diagram shows the interactions between five entities: Security application service user, Security application service provider (Player A), User network provider (Player B), QKDN management provider (Player C), and two QKDN providers (Player C and Player D). The user interacts with Player A. Player A interacts with Player B, Player C, and Player D. Player B interacts with Player C. Player C interacts with both QKDN providers. Player D also interacts with Player C. A reference 'Y.3809(22)' is noted at the bottom right.
+
+**Figure 7-4 – Model 4 for QKDN based security application services**
+
+#### **A service scenario for model 4**
+
+Player A is a security application service provider. Player B is a telecom network operator. Player C and player D are QKDN infrastructure companies that provide QKDN related key management and distribution. In this scenario, player A provides a security application service to the users (i.e., security application service users) by using keys provided by player C and player D. Player C interworks with player D so that the keys are transferred through a QKDN of player C and a QKDN of player D under the management of player C. Data for the security application service are transferred through the telecommunication network provided by player B.
+
+### **7.5 Model 5**
+
+In this model, there are five players in addition to the security application service user.
+
+Player A plays the role of a security application service provider.
+
+Player B plays the role of a user network provider.
+
+Player C plays the role of a QKDN management provider.
+
+Player D plays the role of a QKDN provider.
+
+Player E plays the role of a QKDN provider.
+
+
+
+Figure 7-5: Model 5 for QKDN based security application services. This block diagram shows the interactions between five entities: Security application service user, Security application service provider (Player A), User network provider (Player B), QKDN management provider (Player C), and two QKDN providers (Player D and Player E). The user interacts with Player A. Player A interacts with Player B, Player C, and Player D. Player B interacts with Player C. Player C interacts with both QKDN providers. Player D also interacts with Player C. Player E also interacts with Player C. A reference 'Y.3809(22)' is noted at the bottom right.
+
+**Figure 7-5 – Model 5 for QKDN based security application services**
+
+#### A service scenario for model 5
+
+Player A is an application provider with security functionality. Player B is a telecom network operator. Player C, player D and player E are QKDN infrastructure companies that provide QKDN related key management and distribution. In this scenario, player A provides a cross-domain security application service to the users (i.e., security application service users) by using keys provided by player D and player E. Player C interworks with player D and player E so that the keys are transmitted through a QKDN of player D and a QKDN of player E under the management of player C. Data for security application using keys are transferred through the telecommunication network provided by player B.
+
+### 7.6 Model 6
+
+In this model, there are four players in addition to the security application service user.
+
+Player A plays the role of a security application service provider.
+
+Player B plays the role of a user network provider.
+
+Player C plays two roles: QKDN provider and QKDN management provider.
+
+Player D plays two roles: QKDN provider and QKDN management provider.
+
+
+
+The diagram illustrates the roles and interactions in Model 6. It features six main components in boxes: 'Security application service user' at the top; 'Security application service provider: Player A' below it; 'User network provider: Player B' to the left of Player A; 'QKDN management provider: Player C' below Player B; 'QKDN provider: Player C' to the right of Player C; and 'QKDN management provider: Player D' below Player C. Arrows indicate the flow of data and control: a bidirectional arrow between the user and Player A; bidirectional arrows between Player A and Player B, and between Player A and both QKDN providers (C and D); bidirectional arrows between Player B and both QKDN management providers (C and D); and bidirectional arrows between both QKDN management providers (C and D) and both QKDN providers (C and D). A reference 'Y.3809(22)' is noted at the bottom right of the diagram.
+
+Diagram of Model 6 for QKDN based security application services. The diagram shows the interactions between a Security application service user, a Security application service provider (Player A), a User network provider (Player B), and two QKDN infrastructure companies (Player C and Player D).
+
+Figure 7-6 – Model 6 for QKDN based security application services
+
+#### A service scenario for model 6
+
+Player A is an application provider with security functionality. Player B is a telecom network operator. Player C and player D are QKDN infrastructure companies that provide QKDN related key management and distribution. In this scenario, player A provides a cross-domain security application service to the users (i.e., the security application service user), by using interoperable keys provided by player C and player D. Player A consumes multiple interoperable keys from player C and player D for providing security applications. Data for security application using the interoperable keys are transferred through the telecommunication networks provided by player B.
+
+### 7.7 Model 7
+
+In this model, there are four players in addition to the security application service user.
+
+Player A plays the role of a security application service provider.
+
+Player B plays the role of a user network provider.
+
+Player C plays two roles: QKDN provider and QKDN management provider.
+
+Player D plays two roles: QKDN provider and QKDN management provider.
+
+
+
+```
+
+graph TD
+ S[Security application service user] <--> A[Security application service provider: Player A]
+ A <--> B[User network provider: Player B]
+ A <--> C[QKDN management provider: Player C]
+ B <--> C
+ C <--> D[QKDN provider: Player D]
+ D <--> C
+
+```
+
+Y.3809(22)
+
+Figure 7-7 – Model 7 for QKDN based security application services. The diagram shows a flow of interactions between five entities: Security application service user, Security application service provider: Player A, User network provider: Player B, QKDN management provider: Player C, and QKDN provider: Player D. The Security application service user interacts with Player A. Player A interacts with Player B and Player C. Player B interacts with Player C. Player C interacts with Player D. Player D interacts with Player C. The diagram is labeled Y.3809(22) at the bottom right.
+
+**Figure 7-7 – Model 7 for QKDN based security application services**
+
+#### **A service scenario for model 7**
+
+Player A is an application provider with security functionality. Player B is a telecom network operator. Player C and player D are QKDN infrastructure companies that provide QKDN-related key management and distribution. In this scenario, player A provides a cross-domain security application service to users (i.e., the security application service user) by using keys provided by player C. Player A consumes multiple keys from Player C. When keys are transferred through the QKDN, player C and player D interwork to transfer the keys from the source to the destination. Particularly, player C interacts with player A and player B, while player D only interacts with player C. A key is either transferred within a QKDN of player C or through the interworking QKDNs of player C and D. Data for security applications using keys from player C are transferred through the telecommunication network provided by player B.
+
+## **8 Security considerations**
+
+To deploy and operate QKDN with role-based models, various security considerations and requirements such as [b-ITU-T X.1710] and [b-ITU-T XSTR-SEC-QKD] should be considered. This Recommendation describes roles, role-based models, and service scenarios in QKDN, but details of the security considerations are out of the scope of this Recommendation.
+
+**Appendix I**
+
+**Implementation description of QKDN roles**
+
+(This appendix does not form an integral part of this Recommendation.)
+
+This appendix is used to illustrate the engineering implementation of the QKDN roles in the conceptual structures of a QKDN and a user network (i.e., QKDN architecture) from [b-ITU-T Y.3800].
+
+**I.1 Introduction**
+
+It is important to clarify the relationship between the QKDN role-based model and the QKDN architecture and explain how the model maps it to the QKDN architecture.
+
+**I.2 Existing structure**
+
+- Layer structure defined in [b-ITU-T Y.3800]: quantum layer, key management layer, QKDN control layer, QKDN management layer, service layer, and user network management layer;
+- Basic functions and links defined in [b-ITU-T Y.3800]: QKD module, key manager (KM), QKDN controller, QKDN manager, QKD link, and KM link in the QKDN; cryptographic application, user network manager, and application link in the user network.
+
+**I.3 Mapping process**
+
+The mapping process is shown in Figure I.1.
+
+
+
+```
+
+ graph TD
+ subgraph QKDN_roles [QKDN roles]
+ SASU[Security application service user]
+ SASP[Security application service provider]
+ UNP[User network provider]
+ QMP[QKDN management provider]
+ QP[QKDN provider]
+ end
+
+ subgraph Conceptual_Structures [The conceptual structures of a QKDN and a user network b-ITU-T Y.3800]
+ SL[Service layer]
+ UNML[User network management layer]
+ QCL[QKDN control layer]
+ KML[Key management layer]
+ QL[Quantum layer]
+ QML[QKDN management layer]
+ end
+
+ SASU --> SASP
+ SASP --> SASU
+ UNP --> SASP
+ SASP --> UNP
+ UNP --> QMP
+ QMP --> UNP
+ QMP --> QP
+ QP --> QMP
+ QP --> SASP
+ SASP --> QP
+
+ SASU -.-> SL
+ SASP -.-> SL
+ UNP -.-> UNML
+ QMP -.-> QML
+ QP -.-> QCL
+ QP -.-> KML
+ QP -.-> QL
+
+ QL --> KML
+ KML --> QCL
+ QCL --> SL
+ SL --> UNML
+ QML --> UNML
+ QML --> QCL
+ QML --> KML
+ QML --> QL
+
+```
+
+**Figure I.1 – Mapping process**
+
+Figure I.1 – Mapping process diagram showing the relationship between QKDN roles and conceptual structures.
+
+**The security application service user** uses the application(s) provided by the security application service provider. The **security application service provider** is responsible for providing secure services to the security application service users. In a **service layer**, the following functional element exists i.e., the cryptographic application function. It consumes the shared key pairs provided by a QKDN and performs secure services between remote parties. Therefore, security application service users and security application service providers are mapped by the service layer.
+
+The **user network provider** is the owner of the user network. In a **user network management layer**, there exists a user network manager function: it performs FCAPS
+
+10 Rec. ITU-T Y.3809 (02/2022)
+
+management features of a user network. Hence, the function of the user network provider can be provided by the user network management layer.
+
+- The **QKDN management provider** is responsible in managing the QKDN resources. In a **QKDN management layer**, a QKDN manager function is to manage FCAPS aspects of a QKDN as a whole and support user network management. In a **key management layer**, a KM function is to receive and manage keys generated by the QKD modules and QKD links, relay the keys, and supply the keys to the cryptographic applications. In a **QKDN control layer**, a QKDN controller function is to control QKDN resources to ensure secure, stable, efficient, and robust operations of a QKDN. This way, the QKDN management layer, key management layer, and QKDN control layer can realize the function of the QKDN management provider.
+- The **QKDN provider** provides key distribution including managing the lifecycle of keys and providing these keys. In a **quantum layer**, the quantum key distribution keys (QKD keys) are generated. In a **key management layer**, a KM function is to receive and manage keys generated by the QKD modules and QKD links, relay the keys, and supply the keys to the cryptographic applications. In a **QKDN control layer**, a QKDN controller function is to control QKDN resources to ensure secure, stable, efficient, and robust operations of a QKDN. Therefore, the function of the QKDN provider can be provided by the quantum layer, key management layer, and the QKDN control layer.
+
+## Bibliography
+
+- [b-ITU-T E.800] Recommendation ITU-T E.800 (2008), *Definitions of terms related to quality of service*.
+- [b-ITU-T P.10] Recommendation ITU-T P.10/G.100 (2017), *Vocabulary for performance, quality of service and quality of experience*.
+- [b-ITU-T X.1710] Recommendation ITU-T X.1710 (2020), *Security framework for quantum key distribution networks*.
+- [b-ITU-T Y.1401] Recommendation ITU-T Y.1401 (2008), *Principles of interworking*.
+- [b-ITU-T Y.3800] Recommendation ITU-T Y.3800 (2019), *Overview on networks supporting quantum key distribution*.
+- [b-ITU-T Y.3801] Recommendation ITU-T Y.3801 (2020), *Functional requirements for quantum key distribution networks*.
+- [b-ITU-T Y.3802] Recommendation ITU-T Y.3802 (2020), *Quantum key distribution networks – Functional architecture*.
+- [b-ITU-T XSTR-SEC-QKD] Technical Report ITU-T XSTR-SEC-QKD Corrigendum 1 (2021), *Security considerations for quantum key distribution networks*.
+- [b-ETSI GR QKD 007] ETSI GR QKD 007 (2018), *Quantum Key Distribution (QKD); Vocabulary*.
+[https://www.etsi.org/deliver/etsi\\_gr/QKD/001\\_099/007/01.01.01\\_60/gr\\_qkd007v010101p.pdf](https://www.etsi.org/deliver/etsi_gr/QKD/001_099/007/01.01.01_60/gr_qkd007v010101p.pdf)
+
+
+
+# SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+# Recommendation
+
+## **ITU-T Y.3810 (09/2024)**
+
+SERIES Y: Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+Quantum key distribution networks
+
+---
+
+## **Quantum key distribution network interworking – Framework**
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+# Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+| | |
+|--------------------------------------------------------------------|----------------------|
+| GLOBAL INFORMATION INFRASTRUCTURE | Y.100-Y.999 |
+| General | Y.100-Y.199 |
+| Services, applications and middleware | Y.200-Y.299 |
+| Network aspects | Y.300-Y.399 |
+| Interfaces and protocols | Y.400-Y.499 |
+| Numbering, addressing and naming | Y.500-Y.599 |
+| Operation, administration and maintenance | Y.600-Y.699 |
+| Security | Y.700-Y.799 |
+| Performances | Y.800-Y.899 |
+| INTERNET PROTOCOL ASPECTS | Y.1000-Y.1999 |
+| General | Y.1000-Y.1099 |
+| Services and applications | Y.1100-Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200-Y.1299 |
+| Transport | Y.1300-Y.1399 |
+| Interworking | Y.1400-Y.1499 |
+| Quality of service and network performance | Y.1500-Y.1599 |
+| Signalling | Y.1600-Y.1699 |
+| Operation, administration and maintenance | Y.1700-Y.1799 |
+| Charging | Y.1800-Y.1899 |
+| IPTV over NGN | Y.1900-Y.1999 |
+| NEXT GENERATION NETWORKS | Y.2000-Y.2999 |
+| Frameworks and functional architecture models | Y.2000-Y.2099 |
+| Quality of Service and performance | Y.2100-Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200-Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250-Y.2299 |
+| Enhancements to NGN | Y.2300-Y.2399 |
+| Network management | Y.2400-Y.2499 |
+| Computing power networks | Y.2500-Y.2599 |
+| Packet-based Networks | Y.2600-Y.2699 |
+| Security | Y.2700-Y.2799 |
+| Generalized mobility | Y.2800-Y.2899 |
+| Carrier grade open environment | Y.2900-Y.2999 |
+| FUTURE NETWORKS | Y.3000-Y.3499 |
+| CLOUD COMPUTING | Y.3500-Y.3599 |
+| BIG DATA | Y.3600-Y.3799 |
+| QUANTUM KEY DISTRIBUTION NETWORKS | Y.3800-Y.3999 |
+| INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES | Y.4000-Y.4999 |
+| General | Y.4000-Y.4049 |
+| Definitions and terminologies | Y.4050-Y.4099 |
+| Requirements and use cases | Y.4100-Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250-Y.4399 |
+| Frameworks, architectures and protocols | Y.4400-Y.4549 |
+| Services, applications, computation and data processing | Y.4550-Y.4699 |
+| Management, control and performance | Y.4700-Y.4799 |
+| Identification and security | Y.4800-Y.4899 |
+| Evaluation and assessment | Y.4900-Y.4999 |
+
+*For further details, please refer to the list of ITU-T Recommendations.*
+
+# Recommendation ITU-T Y.3810
+
+# Quantum key distribution network interworking – Framework
+
+## Summary
+
+For quantum key distribution networks (QKDN), Recommendation ITU-T Y.3810 specifies the framework of QKDN interworking (QKDNi). This Recommendation describes the overview of interworking QKDNs, the reference models, and the functional models of gateway functions (GWFs) and interworking functions (IWFs). The configurations for QKDNi are specified. Appendix I includes QKDNi with different key relay schemes.
+
+## History\*
+
+| Edition | Recommendation | Approval | Study Group | Unique ID |
+|---------|----------------|------------|-------------|--------------------|
+| 1.0 | ITU-T Y.3810 | 2022-09-29 | 13 | 11.1002/1000/15063 |
+| 2.0 | ITU-T Y.3810 | 2024-09-13 | 13 | 11.1002/1000/16136 |
+
+## Keywords
+
+QKD network (QKDN), QKDN interworking (QKDNi), Quantum key distribution (QKD).
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID.
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, and information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents/software copyrights, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the appropriate ITU-T databases available via the ITU-T website at .
+
+© ITU 2024
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | Page |
+|----------------------------------------------------------------------|-------------|
+| 1 Scope..... | 1 |
+| 2 References..... | 1 |
+| 3 Definitions ..... | 1 |
+| 3.1 Terms defined elsewhere..... | 1 |
+| 3.2 Terms defined in this Recommendation..... | 3 |
+| 4 Abbreviations and acronyms ..... | 3 |
+| 5 Conventions ..... | 3 |
+| 6 Overview of QKDNi..... | 3 |
+| 7 Reference models for QKDNi ..... | 4 |
+| 7.1 Reference model for QKDNi with GWFs ..... | 4 |
+| 7.2 Reference model for QKDNi with IWFs..... | 5 |
+| 8 Functional models for QKDNi ..... | 5 |
+| 8.1 Functional model for QKDNi with gateway nodes (GWNs) ..... | 5 |
+| 8.2 Functional model for QKDNi with interworking nodes (IWNs) ..... | 6 |
+| 9 Configurations for QKDNi..... | 7 |
+| 9.1 Configuration for QKDNi with gateway functions (GWFs)..... | 7 |
+| 9.2 Configuration for QKDNi with interworking functions (IWFs) ..... | 8 |
+| 10 Security considerations ..... | 9 |
+| Appendix I – QKDNi with different key relay schemes..... | 10 |
+| I.1 QKDNi key relay scheme – case 1 ..... | 10 |
+| I.2 QKDNi key relay scheme – case 2 ..... | 10 |
+| Bibliography..... | 12 |
+
+
+
+# Recommendation ITU-T Y.3810
+
+# Quantum key distribution network interworking – Framework
+
+# 1 Scope
+
+This Recommendation specifies a framework for QKDN interworking (QKDNI).
+
+In particular, this Recommendation includes:
+
+- Reference models for QKDNI;
+- Functional models for QKDNI;
+- Configurations for QKDNI.
+
+# 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+- [ITU-T Y.3800] Recommendation ITU-T Y.3800 (2019), *Overview on networks supporting quantum key distribution*.
+- [ITU-T Y.3801] Recommendation ITU-T Y.3801 (2020), *Functional requirements for quantum key distribution networks*.
+- [ITU-T Y.3802] Recommendation ITU-T Y.3802 (2020), *Quantum key distribution networks – Functional architecture*.
+- [ITU-T Y.3809] Recommendation ITU-T Y.3809 (2022), *A role-based model in quantum key distribution networks deployment*.
+
+# 3 Definitions
+
+## 3.1 Terms defined elsewhere
+
+This Recommendation uses the following terms defined elsewhere:
+
+**3.1.1 key management agent (KMA)** [ITU-T Y.3802]: A functional element to manage keys generated by one or multiple quantum key distribution (QKD) modules in a QKD node (trusted node).
+
+NOTE – KMA acquires keys from one or multiple QKD modules, synchronizes, resizes, formats, and stores them. It also relays keys through key management agent (KMA) links.
+
+**3.1.2 key management agent link (KMA link)** [ITU-T Y.3802]: A communication link connecting key management agents (KMAs) to perform key relay and communications for key management.
+
+**3.1.3 key manager (KM)** [ITU-T Y.3800]: A functional module located in a quantum key distribution (QKD) node to perform key management in the key management layer.
+
+**3.1.4 key relay** [ITU-T Y.3800]: A method to share keys between arbitrary quantum key distribution (QKD) nodes via intermediate QKD node(s).
+
+**3.1.5 key supply agent (KSA)** [ITU-T Y.3802]: A functional element to supply keys to a cryptographic application, being located between a key management agent (KMA) and the cryptographic application.
+
+NOTE – Application interfaces for cryptographic applications are installed into the key supply agent (KSA). The KSA synchronizes keys, and verifies their integrity via a KSA link before supplying them to the cryptographic application.
+
+**3.1.6 key supply agent link (KSA link)** [ITU-T Y.3802]: A communication link connecting key supply agents (KSAs) to perform key synchronization and integrity verification.
+
+**3.1.7 quantum key distribution (QKD)** [b-ETSI GR QKD 007]: Procedure or method for generating and distributing symmetrical cryptographic keys with information theoretical security based on quantum information theory.
+
+**3.1.8 quantum key distribution link** [ITU-T Y.3800]: A communication link between two quantum key distribution (QKD) modules to operate the QKD.
+
+NOTE – A QKD link consists of a quantum channel for the transmission of quantum signals, and a classical channel used to exchange information for synchronization and key distillation.
+
+**3.1.9 quantum key distribution module** [ITU-T Y.3800]: A set of hardware and software components that implements cryptographic functions and quantum optical processes, including quantum key distribution (QKD) protocols, synchronization, distillation for key generation, and is contained within a defined cryptographic boundary.
+
+NOTE – A QKD module is connected to a QKD link, acting as an endpoint module in which a key is generated. These are two types of QKD modules, namely, the transmitters (QKD-Tx) and the receivers (QKD-Rx).
+
+**3.1.10 quantum key distribution network (QKDN)** [ITU-T Y.3800]: A network comprised of two or more quantum key distribution (QKD) nodes connected through QKD links.
+
+NOTE – A QKDN allows sharing keys between the QKD nodes by key relay when they are not directly connected by a QKD link.
+
+**3.1.11 quantum key distribution network controller** [ITU-T Y.3800]: A functional module, which is located in a quantum key distribution (QKD) network control layer to control a QKD network.
+
+**3.1.12 quantum key distribution network manager (QKDN manager)** [ITU-T Y.3800]: A functional module, which is located in a quantum key distribution (QKD) network management layer to monitor and manage a QKD network.
+
+**3.1.13 quantum key distribution node** [ITU-T Y.3800]: A node that contains one or more quantum key distribution (QKD) modules protected against intrusion and attacks by unauthorized parties.
+
+NOTE – A QKD node can contain a key manager (KM).
+
+**3.1.14 trusted node (TN)** [b-ITU-T X.1713]: A node that is protected against intrusion and attacks by unauthorized parties, and acts as a boundary protecting all embedded elements against attackers outside the node.
+
+NOTE 1 – A trusted node can contain one or more quantum key distribution (QKD) modules, key managers (KMs), quantum key distribution network (QKDN) managers, QKDN controllers, applications and other possible entities.
+
+NOTE 2 – In [b-ITU-T X.1713], the description of trusted node (TN) is given as: "To ensure information security of a QKD node, especially to protect the security of keys, the QKD node must be protected against intrusion and attacks by unauthorized parties. A QKD node with such a protection is called a trusted node. A trusted node acts as a boundary protecting all embedded elements against attackers outside the node."
+
+## 3.2 Terms defined in this Recommendation
+
+This Recommendation defines the following terms:
+
+**3.2.1 gateway function (GWF):** A function which is located at the gateway node (GWN) to support interworking interfaces.
+
+**3.2.2 gateway node (GWN):** A trusted node which is placed on both sides of the network boundary and includes key manager (KM) and quantum key distribution module (QKD module) for the quantum key distribution network interworking (QKDNi).
+
+**3.2.3 interworking function (IWF):** A function which is located at the interworking node (IWN) to support interworking interfaces.
+
+**3.2.4 interworking node (IWN):** A trusted node which is placed at the network boundary and includes key managers (KMs) for the quantum key distribution network interworking (QKDNi)
+
+**3.2.5 key transfer:** A method to share keys between key managers (KMs) in an interworking node (IWN).
+
+NOTE – Since keys are shared in the secure environment of an IWN, encryption may not be required.
+
+# 4 Abbreviations and acronyms
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|--------|---------------------------------------------------------|
+| FCAPS | Fault, Configuration, Accounting, Performance, Security |
+| GWF | Gateway Function |
+| GWN | Gateway Node |
+| IWF | Interworking Function |
+| IWN | Interworking Node |
+| KM | Key Manager |
+| KMA | Key Management Agent |
+| KSA | Key Supply Agent |
+| OTP | One-Time Pad |
+| QKD | Quantum Key Distribution |
+| QKDN | QKD Network |
+| QKDNi | QKDN interworking |
+| QKD-Rx | QKD Receiver |
+| QKD-Tx | QKD Transmitter |
+
+# 5 Conventions
+
+None.
+
+# 6 Overview of QKDNi
+
+A quantum key distribution network (QKDN) [ITU-T Y.3800] is a cryptographic infrastructure to provide secure symmetrical keys to cryptographic applications in user networks. When constructing a large scale QKDN which covers a wide area, it may consist of multiple QKDNs interworking with each other.
+
+The functional requirements and architecture of a single QKDN are specified based on the functional requirements of QKDN in [ITU-T Y.3801] and the functional architecture and operational procedures of QKDN in [ITU-T Y.3802].
+
+This Recommendation considers the QKDN interworking (QKDNi) supporting multiple QKDN providers.
+
+NOTE – The QKDN provider is specified in [ITU-T Y.3809].
+
+QKDN providers may have their own policies for such a service in terms of charging, routing and security. The network topologies and technology which are used in QKDN are confidential information. They are not usually disclosed to other QKDN providers even in interworking cases. QKDNs should be demarcated at a network boundary and connect through interworking interfaces. Interworking interfaces are strictly prohibited from transferring unauthorized information. Gateway functions (GWFs) and interworking functions (IWFs) support interworking interfaces.
+
+# 7 Reference models for QKDNi
+
+## 7.1 Reference model for QKDNi with GWFs
+
+Figure 1 shows a reference model for QKDNi with GWFs.
+
+
+
+Figure 1: Reference model for QKDNi with GWFs. The diagram shows two QKDN providers, QKDN-A and QKDN-B, connected via interworking interfaces. Each provider has a vertical 'QKDN management layer' on the left and a 'GWF' box on the right. Inside each provider, there are three horizontal layers: 'QKDN control layer', 'Key management layer', and 'Quantum layer'. Each of these layers contains a 'GWF' box. The interworking interfaces are labeled Mxi (between QKDN control layers), Kxi (between Key management layers), and Qx (between Quantum layers). The diagram is labeled Y.3810(22) at the bottom right.
+
+**Figure 1 – Reference model for QKDNi with GWFs**
+
+The GWF is located at the border of each QKDN provider. The GWF is a functional entity to support interworking interfaces between two different QKDN providers. The GWF may perform to convert internal protocols in a QKDN to other protocols for QKDNi. Even in a case where standardized protocols are used in a QKDN internally, the GWF conducts protocol conversion to achieve alignment with the inconsistency of the parameters used in the internal protocol and the interworking protocol, such as filtering of confidential parameters.
+
+The following three reference points are identified between GWFs.
+
+- Kxi is a reference point for the interworking of key management layers: When keys are relayed between QKDN providers through the key management layer, relative information for this purpose should be communicated, such as key ID, QKD module ID and key generation date.
+- Cxi is a reference point for the interworking of QKDN control layers: QKDN control information can be shared between QKDN providers through the QKDN control layer, such as routing control, session control, authentication and authorization control and QoS policy control.
+
+- Mxi is a reference point for the interworking of QKDN management layers: QKDN management information can be shared between QKDN providers through the QKDN management layer, such as charging information.
+
+NOTE 1 – Cxi interface optionally supports the interworking of key relay routing. Key relay routing will perform independently in each QKDN according to the policies of each service provider.
+
+NOTE 2 – Management functions are not usually connected between service providers. Customer control and fault, configuration, accounting, performance and security (FCAPS) should be managed by each provider.
+
+NOTE 3 – Qx is a reference point for the interworking of quantum layers without GWFs. When QKD-keys are shared between QKDN providers through the quantum layer, a QKD protocol such as BB84 will be performed through the Qx interface. This reference point is defined in [ITU-T Y.3802].
+
+NOTE 4 – Interworking of quantum layers might involve interoperability between QKD modules with different QKD protocols and implementations, which still need further study. The details are outside the scope of this Recommendation.
+
+The GWF mainly has basic functions among multiple QKDNs, including functions for interworking of key management layers, QKDN control layers and QKDN management layers. These functions are accommodated at the interworking points of QKDNs. A gateway node (GWN) is a kind of a QKD node including a GWF.
+
+## 7.2 Reference model for QKDNi with IWFs
+
+Figure 2 shows a reference model for QKDNi with IWFs.
+
+
+
+Figure 2: Reference model for QKDNi with IWFs. The diagram shows two QKDN providers, QKDN-A and QKDN-B, connected via three IWFs. QKDN-A (labeled 'QKDN provider-A') contains a 'QKDN management layer' on the left and three internal layers: 'QKDN control layer', 'Key management layer', and 'Quantum layer'. QKDN-B (labeled 'QKDN provider-B') contains a 'QKDN management layer' on the right and the same three internal layers. The IWFs connect the management layers (Mx), control layers (Cx), and key management layers (Kx) between the two providers. The IWFs are represented by boxes labeled 'IWF' with diagonal slashes. The diagram is labeled 'Y.3810(22)' at the bottom right.
+
+**Figure 2 – Reference model for QKDNi with IWFs**
+
+The IWF might be used for connecting QKDNs, as shown in Figure 2. The IWF can be installed in a trusted node other than inside the QKDN that is interworking. The interworking structure with the IWF is one of the variations of the structure using the GWFs for interworking, considering the IWF consists of two GWFs.
+
+IWF and GWF have the same functions but these functions are accommodated in an interworking node (IWN), which is a kind of QKD node including an IWF.
+
+# 8 Functional models for QKDNi
+
+## 8.1 Functional model for QKDNi with gateway nodes (GWNs)
+
+QKDN-A and QKDN-B connect at Qx, Kxi and optionally at Cxi. Qx and Kxi can be used to perform secure key relay with one-time pad (OTP) encryption between QKDN provider-A and QKDN provider-B.
+
+Figure 3 illustrates a functional model for QKDNi with GWNs. This model shows both QKDNs are distributed QKDN, and QKDN controllers are accommodated in the QKDN nodes A and B to control KMs and QKDN modules. When QKDNs are centralized QKDNs, KMs and QKDN modules in the QKDN-A and QKDN-B are controlled by the centralized QKDN controller in each QKDN.
+
+NOTE 1 – A centralized QKDN and a distributed QKDN are specified in [ITU-T Y.3802].
+
+NOTE 2 – Since a pair of QKD modules (sender and receiver) works with single technology (e.g., using the same QKD protocol, restriction of hardware and strict security requirements), the QKD modules connecting at the network boundary (QKD module-A2 and QKD module-B1 in Figure 3) can be operated by different QKDN providers. In many cases using single technology the modules are provided by the same vender.
+
+
+
+The diagram shows two symmetrical network domains, QKDN-A (left) and QKDN-B (right), separated by a vertical red dashed 'Network boundary'. Each side contains a 'Cryptographic application' at the top, connected via interface 'Ak' to a large oval representing the 'QKDN'. Inside each QKDN domain is a 'Trusted node' (GWN-A and GWN-B). Each trusted node contains a 'QKDN controller' (A or B), a 'KM' (Key Management) unit (KM-A or KM-B) which includes 'KSA' and 'KMA', and two 'QKD modules' (e.g., QKD module-A1 and A2). Interfaces connect these components: 'Cx' and 'Cxi' for controllers, 'Kx' and 'Kxi' for KM units, and 'Qx' for QKD modules. Internal interfaces include 'Cq', 'Ck', and 'kq'. A horizontal line 'Ax' connects the two cryptographic applications across the boundary.
+
+Figure 3 – Functional model for QKDNi with GWNs
+
+**Figure 3 – Functional model for QKDNi with GWNs**
+
+### 8.2 Functional model for QKDNi with interworking nodes (IWNs)
+
+QKDN-A and QKDN-B connect at Kxi' and optionally at Cxi'. Where there are no QKD links between the QKDN-A and QKDN-B, KM-A and KM-B should be located within the same QKD node. Keys can then be transferred between KM-A and KM-B through Kxi' within the secure operational environment of the IWN (trusted node).
+
+Information which is transferred at Kxi' and Cxi' is the same as at the Kxi and Cxi but Kxi' and Cxi' are internal interfaces within a trusted node.
+
+Figure 4 illustrates a functional model for QKDNi with IWN. This model shows both QKDNs are distributed QKDNs, and QKDN controllers are accommodated in the IWN to control KMs and QKDN modules. When QKDNs are centralized QKDNs, the KMs and QKD modules in the IWN are controlled by the centralized QKDN controller in each QKDN.
+
+6 Rec. ITU-T Y.3810 (09/2024)
+
+
+
+Figure 4: Functional model for QKDNi with IWN. The diagram shows two QKDN providers, QKDN-A and QKDN-B, separated by a network boundary. Each provider consists of a QKDN entity, a QKDN controller, a Key Management (KM) module (containing KSA and KMA), and a QKD module. QKDN-A is labeled 'QKDN-A (QKDN provider-A)' and QKDN-B is labeled 'QKDN-B (QKDN provider-B)'. A central 'IWN (Trusted node)' is indicated by a red dashed line labeled 'Network boundary'. Cryptographic applications are connected to each QKDN via interface 'Ak'. Internal interfaces include 'Cx' between QKDN and controller, 'Ck' and 'Cq' between controller and KM, 'Kx' between QKDN and KM, 'kq' between KM and QKD module, and 'Qx' between QKD module and QKDN. Inter-provider interfaces are 'Cxi'' between controllers and 'Kxi'' between KM modules. The reference 'Y.3810(22)' is at the bottom right.
+
+**Figure 4 – Functional model for QKDNi with IWN**
+
+# 9 Configurations for QKDNi
+
+## 9.1 Configuration for QKDNi with gateway functions (GWFs)
+
+Figure 5 illustrates a configuration for QKDNi with GWFs. This configuration shows the QKDN-A is a distributed QKDN and the QKDN-B is a centralized QKDN. QKDN-A and QKDN-B are interworking with GWFs which are accommodated in each GWN. GWN connect via Qx, Kxi and optionally Cxi.
+
+When keys are relayed from QKDN-A to QKDN-B via the Kxi interface, they can be encrypted with OTP encryption.
+
+
+
+Figure 5: Configuration for QKDNi with GWFs. The diagram shows two QKDN providers, QKDN-A and QKDN-B, connected via a Service network. QKDN-A is a distributed QKDN with multiple QKDN modules and a QKDN controller. QKDN-B is a centralized QKDN with a single QKDN module and a QKDN controller. Both providers have a QKDN manager. Keys are transferred between the providers via Key relays. The Service network is secured by a lock icon. Cryptographic applications are shown at the top, connected to the QKDN managers via Key relays. The diagram is labeled Y.3810(22).
+
+Figure 5 – Configuration for QKDNi with GWFs
+
+## 9.2 Configuration for QKDNi with interworking functions (IWFs)
+
+Figure 6 illustrates a configuration for QKDNi with IWFs. This configuration shows the QKDN-A is a distributed QKDN and the QKDN-B is a centralized QKDN. QKDN-A and QKDN-B connect via an IWN. The IWN might be accommodated in common premises of two QKDN providers or may belong to one of them.
+
+Keys are transferred between two QKDN providers within the secure operational environment of the IWN (trusted node).
+
+
+
+Figure 6: Configuration for QKDNi with IWFs. The diagram shows two QKDN providers, QKDN-A and QKDN-B, connected via an IWN (Interworking Network). QKDN-A is a distributed QKDN with multiple QKDN modules and a QKDN controller. QKDN-B is a centralized QKDN with a single QKDN module and a QKDN controller. Both providers have a QKDN manager. Keys are transferred between the providers via Key relays and Key transfer. The IWN is a trusted node. The Service network is secured by a lock icon. Cryptographic applications are shown at the top, connected to the QKDN managers via Key relays. The diagram is labeled Y.3810(22).
+
+Figure 6 – Configuration for QKDNi with IWFs
+
+# **10 Security considerations**
+
+In order to mitigate security threats and potential attacks, for example, issues of confidentiality, integrity, authenticity, non-repudiation, availability and traceability need to be addressed, and appropriate security and privacy protection schemes should be considered in the QKDN, the user network and interfaces between the two networks. Details are outside the scope of this Recommendation.
+
+# Appendix I
+
+## QKDNi with different key relay schemes
+
+(This appendix does not form an integral part of this Recommendation.)
+
+This appendix provides two cases to support QKDNi with different key relay schemes.
+
+NOTE – Key relay schemes case 1 and case 2 are specified in [ITU-T Y.3800].
+
+### I.1 QKDNi key relay scheme – case 1
+
+A key relay scheme in QKDNi to share a key between the source node and destination node is illustrated in Figure I.1. The source node is in QKDN-A, the destination node in QKDN-B. The Key12 is generated between KMA-1 and KMA-2. The Key12 is relayed from KMA-2 to KMA-3 by OTP encryption with the Key23. It is relayed from KMA-3 to KMA-4 by OTP encryption with the Key34.
+
+
+
+QKDN-A (Centralized QKDN)
+QKDN-B (Distributed QKDN)
+Y.3810(22)
+
+Figure I.1: QKDNi key relay scheme – case 1. A block diagram showing the architecture for key relay between QKDN-A (Centralized) and QKDN-B (Distributed). QKDN-A contains QKDN controller-1, KSA-1, KSA-2, KMA-1, KMA-2, and associated storage. QKDN-B contains QKDN controller-2, QKDN controller-3, KSA-3, KSA-4, KMA-3, KMA-4, and associated storage. Key12 is stored in Storage-1 and Storage-2. Key23 is stored in Storage-2 and Storage-3. Key34 is stored in Storage-3 and Storage-4. The diagram shows Key12 being XORed with Key23 at KMA-2 and relayed to KMA-3, where it is XORed again to retrieve Key12, then XORed with Key34 and relayed to KMA-4 to finally deliver Key12 to KSA-4.
+
+**Figure I.1 – QKDNi key relay scheme – case 1**
+
+### I.2 QKDNi key relay scheme – case 2
+
+In case 2, which is illustrated in Figure I.2, a random bit string KeyRN generated locally at KMA-1 in QKDN-A is used for key relay from KMA-1 to KMA-4.
+
+
+
+The diagram illustrates the QKDNi key relay scheme – case 2, divided into two main sections: QKDN-A (Centralized QKDN) and QKDN-B (Distributed QKDN).
+
+**QKDN-A (Centralized QKDN):**
+
+- QKDN controller-1** is connected to **KSA-1** and **KSA-2**.
+- KSA-1** contains **KeyRN**.
+- KSA-2** is connected to **KSA-1** via a **KSA link**.
+- KMA-1** is connected to **KSA-1** via a **KMA link**. It contains **KeyRN** and **Storage-1** (containing **Key12**).
+- KMA-2** is connected to **KSA-2** via a **KMA link**. It contains **Key12 ⊕ KeyRN** and **Storage-2** (containing **Key12** and **Key23**).
+- Key relay** (red dashed arrow) connects **KeyRN** in **KMA-1** to **Key12 ⊕ KeyRN** in **KMA-2**.
+
+**QKDN-B (Distributed QKDN):**
+
+- QKDN controller-2** is connected to **KSA-3**.
+- QKDN controller-3** is connected to **KSA-4**.
+- KSA-3** is connected to **KSA-4** via a **KSA link**.
+- KMA-3** is connected to **KSA-3** via a **KMA link**. It contains **Key23 ⊕ KeyRN** and **Storage-3** (containing **Key23** and **Key34**).
+- KMA-4** is connected to **KSA-4** via a **KMA link**. It contains **Key34 ⊕ KeyRN** and **Storage-4** (containing **Key34**).
+- Key relay** (red dashed arrow) connects **Key23 ⊕ KeyRN** in **KMA-3** to **Key34 ⊕ KeyRN** in **KMA-4**.
+
+**Inter-System Connections:**
+
+- QKDN controller-1** is connected to **QKDN controller-2**.
+- QKDN controller-2** is connected to **QKDN controller-3**.
+- KSA-2** is connected to **KSA-3** via a **KSA link**.
+- KMA-2** is connected to **KMA-3** via a **KMA link**.
+
+Y.3810(22)
+
+Diagram of QKDNi key relay scheme – case 2, showing a centralized QKDN (A) and a distributed QKDN (B).
+
+**Figure I.2 – QKDNi key relay scheme – case 2**
+
+# Bibliography
+
+- [b-ITU-T X.1713] Recommendation ITU-T X.1713 (2024), *Security requirements for the protection of quantum key distribution nodes*.
+- [b-ETSI GR QKD 007] Group Report ETSI GS QKD 007 (2018), *Quantum Key Distribution (QKD); Vocabulary*.
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+I n t e r n a t i o n a l T e l e c o m m u n i c a t i o n U n i o n
+
+# ITU-T
+
+TELECOMMUNICATION
+STANDARDIZATION SECTOR
+OF ITU
+
+# Y.3811
+
+(09/2022)
+
+SERIES Y: GLOBAL INFORMATION
+INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS,
+NEXT-GENERATION NETWORKS, INTERNET OF
+THINGS AND SMART CITIES
+
+Quantum key distribution networks
+
+# --- **Quantum key distribution networks – Functional architecture for quality of service assurance**
+
+Recommendation ITU-T Y.3811
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+# GLOBAL INFORMATION INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS, NEXT-GENERATION NETWORKS, INTERNET OF THINGS AND SMART CITIES
+
+| | |
+|--------------------------------------------------------------------|----------------------|
+| GLOBAL INFORMATION INFRASTRUCTURE | |
+| General | Y.100–Y.199 |
+| Services, applications and middleware | Y.200–Y.299 |
+| Network aspects | Y.300–Y.399 |
+| Interfaces and protocols | Y.400–Y.499 |
+| Numbering, addressing and naming | Y.500–Y.599 |
+| Operation, administration and maintenance | Y.600–Y.699 |
+| Security | Y.700–Y.799 |
+| Performances | Y.800–Y.899 |
+| INTERNET PROTOCOL ASPECTS | |
+| General | Y.1000–Y.1099 |
+| Services and applications | Y.1100–Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200–Y.1299 |
+| Transport | Y.1300–Y.1399 |
+| Interworking | Y.1400–Y.1499 |
+| Quality of service and network performance | Y.1500–Y.1599 |
+| Signalling | Y.1600–Y.1699 |
+| Operation, administration and maintenance | Y.1700–Y.1799 |
+| Charging | Y.1800–Y.1899 |
+| IPTV over NGN | Y.1900–Y.1999 |
+| NEXT GENERATION NETWORKS | |
+| Frameworks and functional architecture models | Y.2000–Y.2099 |
+| Quality of Service and performance | Y.2100–Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200–Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250–Y.2299 |
+| Enhancements to NGN | Y.2300–Y.2399 |
+| Network management | Y.2400–Y.2499 |
+| Computing power networks | Y.2500–Y.2599 |
+| Packet-based Networks | Y.2600–Y.2699 |
+| Security | Y.2700–Y.2799 |
+| Generalized mobility | Y.2800–Y.2899 |
+| Carrier grade open environment | Y.2900–Y.2999 |
+| FUTURE NETWORKS | Y.3000–Y.3499 |
+| CLOUD COMPUTING | Y.3500–Y.3599 |
+| BIG DATA | Y.3600–Y.3799 |
+| QUANTUM KEY DISTRIBUTION NETWORKS | Y.3800–Y.3999 |
+| INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES | |
+| General | Y.4000–Y.4049 |
+| Definitions and terminologies | Y.4050–Y.4099 |
+| Requirements and use cases | Y.4100–Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250–Y.4399 |
+| Frameworks, architectures and protocols | Y.4400–Y.4549 |
+| Services, applications, computation and data processing | Y.4550–Y.4699 |
+| Management, control and performance | Y.4700–Y.4799 |
+| Identification and security | Y.4800–Y.4899 |
+| Evaluation and assessment | Y.4900–Y.4999 |
+
+*For further details, please refer to the list of ITU-T Recommendations.*
+
+# Recommendation ITU-T Y.3811
+
+# Quantum key distribution networks – Functional architecture for quality of service assurance
+
+## Summary
+
+Recommendation ITU-T Y.3811 specifies the functional architecture of quality of service (QoS) assurance for the quantum key distribution networks (QKDNs).
+
+This Recommendation first provides an overview of the functional architecture of QoS assurance for the QKDN. It then describes the functional architecture of QoS assurance which includes functional entities such as QoS data collection, data processing, data storage, data analytics, QoS anomaly detection and prediction, QoS policy decision making, and enforcement and reporting. Based on the functional entities described in the functional architecture, this Recommendation specifies a basic operational procedure of QoS assurance for the QKDN.
+
+## History
+
+| Edition | Recommendation | Approval | Study Group | Unique ID* |
+|---------|----------------|------------|-------------|---------------------------------------------------------------------------|
+| 1.0 | ITU-T Y.3811 | 2022-09-29 | 13 | 11.1002/1000/15064 |
+
+## Keywords
+
+Functional architecture, QKDN, QoS assurance.
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID. For example, .
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had received notice of intellectual property, protected by patents/software copyrights, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the appropriate ITU-T databases available via the ITU-T website at .
+
+© ITU 2022
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | Page |
+|---------------------------------------------------------------|-------------|
+| 1 Scope ..... | 1 |
+| 2 References..... | 1 |
+| 3 Definitions ..... | 1 |
+| 3.1 Terms defined elsewhere..... | 1 |
+| 3.2 Terms defined in this Recommendation..... | 2 |
+| 4 Abbreviations and acronyms ..... | 2 |
+| 5 Conventions ..... | 3 |
+| 6 Overview ..... | 3 |
+| 7 Functional architecture of QoS assurance for QKDN ..... | 3 |
+| 7.1 Functional entities for QoS assurance management..... | 4 |
+| 8 Reference points of the functional architecture..... | 7 |
+| 9 Basic operational procedure of QoS assurance for QKDN ..... | 8 |
+| 10 Security considerations..... | 10 |
+| Bibliography..... | 11 |
+
+
+
+# Recommendation ITU-T Y.3811
+
+# Quantum key distribution networks – Functional architecture for quality of service assurance
+
+# 1 Scope
+
+This Recommendation specifies the functional architecture of quality of service (QoS) assurance for the quantum key distribution network (QKDN), the scope of this Recommendation is as follows:
+
+- Overview of QoS assurance for QKDN.
+- Functional architecture of QoS assurance for QKDN.
+- Reference points of functional architecture.
+- Basic operational procedure of QoS assurance for QKDN.
+
+# 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+- [ITU -T E.860] Recommendation ITU-T E.860 (2002), *Framework of a service level agreement*.
+- [ITU-T Y.3802] Recommendation ITU-T Y.3802 (2020), *Quantum key distribution networks – Functional architecture*.
+- [ITU-T Y.3806] Recommendation ITU-T Y.3806 (2021), *Quantum key distribution networks – Requirements for quality of service assurance*.
+
+# 3 Definitions
+
+## 3.1 Terms defined elsewhere
+
+This Recommendation uses the following terms defined elsewhere:
+
+**3.1.1 assurance** [b-ITU-T X.1500]: The degree of confidence that the process or deliverable meets defined characteristics or objectives.
+
+**3.1.2 network performance** [b-ITU-T E.417]: The performance of a portion of a telecommunications network that is measured between a pair of network-user or network-network interfaces using objectively defined and observed performance parameters.
+
+**3.1.3 quality of experience (QoE)** [b-ITU-T P.10]: The degree of delight or annoyance of the user of an application or service. [b-Qualinet 2013]
+
+NOTE – Recognizing on-going research on this topic, this is a working definition which is expected to evolve for some time. (This note is not part of the definition.)
+
+**3.1.4 quality of service** [b-ITU-T Q.1741.9]: The collective effect of service performances, which determine the degree of satisfaction of a user of a service. It is characterized by the combined aspects of performance factors applicable to all services, such as: service operability performance, service accessibility performance, service retainability performance, service integrity performance and other factors specific to service.
+
+## **3.2 Terms defined in this Recommendation**
+
+None.
+
+# **4 Abbreviations and acronyms**
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|-------|------------------------------------|
+| E2E | End to End |
+| KM | Key Manager |
+| KMA | Key Management Agent |
+| KML | Key Management Layer |
+| KPI | Key Performance Indicator |
+| KQM | KML QoS Measurement |
+| KSA | Key Supply Agent |
+| PQ | Priority Queuing |
+| QBER | Quantum Bit Error Rate |
+| QCL | Quantum Control Layer |
+| QCLQA | QKDN Control Layer QoS Assurance |
+| QCRQA | QKDN Cross-Layer QoS Assurance |
+| QDA | CL QoS Data Analysis |
+| QKD | Quantum Key Distribution |
+| QKDN | Quantum Key Distribution Network |
+| QL | Quantum Layer |
+| QoE | Quality of Experience |
+| QoS | Quality of Service |
+| QPP | QoS Policy Provisioning |
+| QQCE | QKDN QoS Capabilities Exposure |
+| QQCLS | QKDN QoS Cross-Layer Support |
+| QQM | QL QoS Measurement |
+| QQPO | QKDN QoS Planning and Optimization |
+| SLA | Service Level Agreement |
+| WRED | Weighted Random Early Detection |
+| WRR | Weighted Round Robin |
+
+# **5 Conventions**
+
+None.
+
+# **6 Overview**
+
+The quantum key distribution network (QKDN) is expected to be able to provide optimized support for a variety of different quantum key distribution (QKD) services. The key performance indicators (KPIs) include optimal latency, accuracy, throughput and availability for key distribution.
+
+One of the challenges of the QKDN is to assure the network performance and that different quality of service (QoS)/quality of experience (QoE) requirements of different application scenarios are met.
+
+The requirements of QoS assurance for the QKDN specified in [ITU-T Y.3806] address these challenges. Based on the requirements, this Recommendation specifies the functional architecture, associated functional entities and reference points and an example of operational procedure.
+
+# **7 Functional architecture of QoS assurance for QKDN**
+
+This clause defines the QKDN layered functional architecture and associated functional entities in accordance with [ITU-T Y.3802]. This Recommendation extends the functional entities required for QoS assurance as shown in Figure 1, where the QoS assurance functional element is added in each layer management function. Each element interacts with each layer's control and management function to fulfil the QoS KPIs. This includes planning, monitoring, analysing, optimizing and provisioning.
+
+
+
+Y.3811(22)
+
+Figure 1: Functional architecture of QoS assurance for QKDN. The diagram shows four main layers: Service layer, Key management layer, Quantum layer, and QKDN management layer. The Service layer contains a Cryptographic application (APP) with interface Ax. The Key management layer contains a Key manager (KM) with interfaces Kx-1 and Kx-2. The Quantum layer contains a QKD module and a QKD link with interfaces Qdist, Qsync, and Qqc. The QKDN management layer contains a QKDN manager with interfaces Mu and Mc. Various internal components like Routing control, Session control, Configuration control, Access control, Policy based control, QKD module control and management, Key distillation, QKD-key supply, Quantum channel synchronization, RNG, Quantum communication, Channel multiplexing, Quantum relay point, and Optical switching/splitting are shown. Inter-layer interfaces include Ak, Cx, Ck, Kq-1, Kq-2, Cq, Mk, Mq, Cqrp, Cops, Mqrp, and Mops. A vertical bar on the right indicates 'Cross-layer management orchestration' and 'QoS assurance'.
+
+**Figure 1 – Functional architecture of QoS assurance for QKDN**
+
+## 7.1 Functional entities for QoS assurance management
+
+The QoS assurance management functional entities are shown in Figure 2. The QKDN control layer QoS assurance functional entities include: QoS data analysis, QoS policy generation, and QoS policy provisioning functions. The key management layer QoS assurance functional entities include: key management layer (KML) QoS measurement, KML QoS policy enforcement, and KML QoS mapping and abstraction functions. The quantum layer QoS assurance functional entities include: quantum layer (QL) QoS measurement, QL QoS policy enforcement and QL QoS mapping and abstraction. The cross-layer management and orchestration QoS assurance functional entities include: QKDN QoS capability exposure to external management systems, QKDN service level agreement (SLA) support, QKDN QoS planning and optimization, and QKDN QoS cross-layer support functions.
+
+
+
+Figure 2 – QKDN QoS assurance functional entities. The diagram shows three layers on the left: QKDN control layer QoS assurance (containing QoS data analysis, QoS policy generation, and QoS policy provisioning), Key management layer QoS assurance (containing KML QoS measurement, KML QoS policy enforcement, and KML QoS mapping and abstraction), and Quantum layer QoS assurance (containing QL QoS measurement, QL QoS policy enforcement, and QL QoS mapping and abstraction). On the right is the QKDN Cross-layer QoS assurance block, which contains QKDN QoS capability exposure, QKDN SLA support, QKDN QoS planning and optimization, and QKDN QoS cross-layer support. Lines connect the three layers on the left to the cross-layer block on the right. A reference 'Y.3811(22)' is at the bottom right.
+
+**Figure 2 – QKDN QoS assurance functional entities**
+
+### 7.1.1 QKDN control layer QoS assurance functional entity
+
+The QKDN control layer QoS assurance functional entity includes the following functions:
+
+#### - **QoS data analysis**
+
+The QoS data analysis functional entity receives QoS related information from the QL and KML QoS measurement functional entity and performs analysis for QoS assurance. For example, it can construct a correlation relationship between QoS information and QoS anomalies.
+
+Based on such analysis, it can detect QoS related anomalies which can be utilized for achieving QoS assurance of the QKDN.
+
+#### - **QoS policy generation**
+
+The QoS policy generation functional entity generates QoS policies to guarantee the quality of QKDN services based on the analysed results supplied by the QoS data analysis functional entity. The policies include KML QoS policies and QL QoS policies. They are delivered to the corresponding layer's QoS enforcement functional entity for further layer specific enforcement.
+
+#### - **QoS policy provisioning**
+
+The QoS policy provisioning functional entity translates its QoS policies to the resource-facing key management layer (KML) and QL specific rules to enforce QoS assurance control, QoS interworking and mapping, and efficient end-to-end (E2E) QoS provisioning. It then triggers each layer QoS policy enforcement functional entity to complete provisioning processes. It also performs verification of the intended provisioning.
+
+### 7.1.2 Key management layer QoS assurance functional entity
+
+The QKDN key management layer QoS assurance functional entity includes the following functions:
+
+#### - **KML QoS measurement**
+
+The KML QoS measurement functional entity collects static information of QKDN KML physical or virtual resources such as name, location, IP addresses, manufacturing date, etc. It also monitors and collects dynamic information of QKDN KML configuration, fault, performance and security events. More specifically, it collects various KML performance data such as key management agent (KMA), key supply agent (KSA) link delay, loss rate, and throughput, etc. The KML QoS measurement functional entity sends the information to the QoS data analysis functional entity for further processing.
+
+#### - **KML QoS policy enforcement**
+
+The KML QoS policy enforcement functional entity enforces KML QoS policy sent from the control layer. It is mainly focused on queue management associated with KML links such as KMA and KSA links. An important goal of queue management is to minimize the steady-state queue size while not under-utilizing the link as well as avoiding the lock-out phenomenon where a single connection or flow monopolizes the queue space. The detailed QoS enforcement functions include packet marking, congestion avoidance, queue shaping, and queue scheduling with a finer level of QoS granularities (e.g., per-flow). Schemes for queue management differ mainly in the criteria for dropping packets and what packets should be dropped. The use of multiple queues introduces further variation in the schemes, for example, in the way packets are distributed among the queues. It can utilize a weighted random early detection (WRED) queue management algorithm, priority queuing (PQ), and weighted round robin (WRR) queue scheduling algorithms.
+
+#### - **KML QoS mapping and abstraction**
+
+The KML QoS mapping and abstraction functional entity is used to support proper QoS interworking between networks that packets traverse in different network domains (e.g., mapping key management (KM) access network QoS classes to KM backbone network QoS classes). The QoS class can be associated with three attributes: priority, packet delay budget and packet error loss rate.
+
+### **7.1.3 Quantum layer QoS assurance functional entity**
+
+The QKDN quantum layer QoS assurance functional entity includes the following functions:
+
+#### - **QL QoS measurement**
+
+The QL QoS measurement functional entity collects static information of QKDN QL physical or virtual resources such as name, location, IP addresses, manufacturing date, etc. It also monitors and collects dynamic information of QKDN QL configuration, fault, performance and security events. More specifically, it collects various QL performance data such as link distance, link complexity, noise, secure key rate, quantum bit error rate (QBER), operating frequency, etc. The QL QoS measurement functional entity sends the information to the QoS data analysis functional entity for further processing.
+
+#### - **QL QoS policy enforcement**
+
+The QL QoS enforcement functional entity enforces QL QoS policy sent from the QoS policy provisioning functional entity in the QKDN control layer. It mainly focuses on queue management associated with quantum and classical channels. An important goal of queue management is to minimize the steady-state queue size while not under-utilizing the link as well as avoiding the lock-out phenomenon where a single connection or flow monopolizes the queue space. The detailed QoS enforcement functions include packet marking, congestion avoidance, queue shaping, and queue scheduling with a finer level of QoS granularities (e.g., per-flow). Schemes for queue management differ mainly in the criteria for dropping packets and what packets should be dropped. The use of multiple queues introduces further variation in the schemes, for example, in the way packets are distributed among the queues. It can utilize the WRED queue management algorithm, PQ, and WRR queue scheduling algorithms.
+
+#### - **QL QoS mapping and abstraction**
+
+The QL QoS mapping and abstraction functional entity is used to support proper QoS interworking between networks that packets traverse in different network domains (e.g., mapping quantum access network QoS classes to quantum backbone network QoS classes). The QoS class can be associated with three attributes: priority, packet delay budget and packet error loss rate.
+
+### 7.1.4 QKDN cross-layer QoS assurance functional entity
+
+The QKDN cross-layer QoS assurance functional entity includes the following functions:
+
+#### - **QKDN QoS capability exposure**
+
+QKDN is expected to bring some new and enhanced capabilities. The opening of QKDN QoS capabilities exposure will bring new business opportunities to QKDN operators, vendors and third parties e.g., QKDN enterprises or value-added operators.
+
+All QoS functions and capabilities can be accessed through service-oriented interfaces which include service registration, service discovery, service request and service deregistration.
+
+#### - **QKDN SLA support**
+
+The SLA is a formal agreement reached between QKDN service users and the QKDN provider after a negotiating activity with the scope to assess service characteristics, responsibilities and priorities. The SLA may include statements about performance, billing, and service delivery but also legal and economic issues [ITU-T E.860]. The SLA is from the user and service point of view. The QoS policy is from the network point of view. The SLA support functional entity receives the SLAs from the QKDN users, extracts QoS related information (e.g., performance and service delivery conditions) and translates them to QoS policies.
+
+#### - **QKDN QoS planning and optimization**
+
+The QKDN QoS planning receives the information on real QKDN QL and KML traffic estimates and topology, utilisation of accurate models for control and user data (e.g., key information, etc.) transmissions, and implementation of the actual QKDN functional entities characteristics, functionalities and parameters. QoS planning then provides an estimate of the QKDN coverage, capacity and resources requirements.
+
+The QKDN QoS optimization can update the QoS planning results to improve the overall QKDN quality, the user's QoE and ensure that the QKDN resources are efficiently utilized.
+
+The estimation and optimization results are realized by QoS provisioning in the underlying QKDN.
+
+#### - **QKDN QoS cross-layer support**
+
+The QKDN QoS cross-layer support functional entity is responsible for managing the correlation of QoS information across QKDN layers. This capability is applicable for QoS provisioning, QoS-based key relay or re-routing analysis, and QoS related fault and security anomaly analysis across multiple layers.
+
+# 8 Reference points of the functional architecture
+
+The following reference points are relevant to communications between a QKDN manager and the QL, KML, and QKDN control layer for the purpose of QoS assurance:
+
+- **Mq**: a reference point connecting the QKDN manager with a QKD module control and management function in a QKD module. It is responsible for the QKDN manager to communicate management information with the QKD module. For QoS assurance, this reference point is extended to support the QoS assurance quantum layer QKD module functionality such as QKD module QoS measurement, QoS policy enforcement, and QoS mapping and abstraction.
+- **Mops**: a reference point connecting the QKDN manager and an optical switching/splitting function in a QKD link. It is responsible for the QKDN manager to communicate management information with the QKD link. For QoS assurance, this reference point is extended to support the quantum layer QKD link functionality such as QKD link QoS measurement, QoS policy enforcement, and QoS mapping and abstraction.
+
+- **Mqrp**: a reference point connecting the QKDN manager and a quantum relay function in a QKD link. It is responsible for the QKDN manager to communicate management information on the quantum relay with the QKD link. For QoS assurance, this reference point is extended to support the quantum layer quantum relay functionality such as quantum relay QoS measurement, QoS policy enforcement, and QoS mapping and abstraction.
+- **Mk**: a reference point connecting the QKDN manager and a key manager (KM) control and management function in a KM. It is responsible for the QKDN manager to communicate management information with a KMA and a key supply agent (KSA). For QoS assurance, this reference point is extended to support key management layer QoS assurance functionality such as KML QoS measurement, QoS policy enforcement, and QoS mapping and abstraction.
+- **Mc**: a reference point connecting the QKDN manager and a QKDN controller control and management function in a QKDN controller. It is responsible for the QKDN manager to communicate management information with the QKDN controller. For QoS assurance, this reference point is extended to support control layer QoS assurance functionality, specifically, QoS policy provisioning.
+- **Mu**: a reference point connecting a user network manager in a user network and the QKDN manager in the QKDN. It is responsible for the QKDN manager to communicate management information with the user network manager. For QoS assurance, this reference point is extended to support cross-layer QoS assurance functionality such as QoS capability exposure and SLA support for the user network.
+
+# 9 Basic operational procedure of QoS assurance for QKDN
+
+During the lifecycle of QKDN services, the QKDN QoS assurance lifecycle is also involved. This clause describes a basic operational QoS assurance lifecycle procedure in a QKD network which is shown in Figure 3.
+
+
+
+```
+
+sequenceDiagram
+ participant Customer as QKDN QoS customer
+ participant QQCE as QCRQA-QQCE
+ participant QQPO as QCRQA-QQPO
+ participant QPP as QCLQA-QPP
+ participant QDA1 as QCLQA-QDA
+KMLQA-KQM
+QLQA-QQM
+ participant QDA2 as QCLQA-QDA
+QCRQA-QQCLS
+ participant QMCM as QM-QM/
+KM/CM
+
+ Customer->>QQCE: 1. QoS Prov Req
+ QQCE->>QQPO: 2. QoS Prov Req
+ Note over QQPO: Determine an optimal QKDN QoS provisioning plan based on available resources matching customer's request
+ QQPO->>QPP: 3. QoS Prov Req
+ Note over QPP: Provision QKDN QoS resources
+ QPP->>Customer: 5. QoS Prov Resp
+ QPP->>QQCE: 4. QoS Prov Resp
+ QPP->>QDA1: 6. QoS Prov status
+ Note over QDA1: Collect and analyse provisioned QKDN QoS resources
+ QDA1->>QPP: 7. QoS Prov status
+ QDA1->>QDA2: 8. Resource status
+ QDA2->>QPP: 9. Resource status
+ QPP->>QQPO: 10. Resource status update
+ Note over QQPO: Update available resource status and determine if re-optimization is needed upon status updates
+ QQPO->>QPP: 11. Prov update Req
+ Note over QPP: Re-provision the provisioned QoS resources with update request
+ QPP->>QDA1: 12. Prov update Req
+ QDA1->>QDA2: 13. Prov status
+ QDA2->>QPP: 14. Resource status update
+ QPP->>Customer: 16. Provision status update
+ QMCM->>QPP: Perform fault, configuration, performance, security and charging management of the provisioned QKDN QoS resources. If any control or re-provisioning actions are required, request them to QCLQA-QPP
+
+```
+
+Sequence diagram illustrating a basic operational procedure for QKDN QoS assurance. The diagram shows interactions between several functional entities: QKDN QoS customer, QCRQA-QQCE, QCRQA-QQPO, QCLQA-QPP, QCLQA-QDA (containing KMLQA-KQM and QLQA-QQM), QCLQA-QDA (containing QCRQA-QQCLS), and QM-QM/KM/CM. The process starts with a QoS provisioning request from the customer to QQCE, then to QQPO, which determines an optimal plan. QQPO then provisions resources with QPP. QPP sends status updates to QDA entities. QDA entities collect and analyze resources and send status updates back to QPP. QPP then updates the customer and QQCE. A fault or configuration issue triggers a re-provisioning request from QM-QM/KM/CM to QPP, which then updates the customer and QQCE. The diagram is labeled Y.3811(22) at the bottom right.
+
+Y.3811(22)
+
+**Figure 3 – A basic operational procedure for QKDN QoS assurance**
+
+- 1) The QKDN customer requests QKDN resources to be provisioned with its specified service requirements based on the SLA between a QKDN customer and a QKDN provider. The QKDN resources to be provisioned include a QoS-enabled key relay route, KML resources to be provisioned with QoS requirements, and QL resources to be provisioned with QoS requirements. The QKDN QoS capabilities exposure (QQCE) functional element in the QKDN cross-layer QoS assurance (QCRQA) functional entity can open the QoS capabilities for third parties. Also the QKDN SLA support functional element provides QoS information in the SLA template for QKDN QoS provisioning which includes: statements about performance, billing, and service delivery.
+- 2) The QCRQA-QQCE functional element receives the customer's request and carries it to the QKDN QoS planning and optimization (QQPO) functional element in the QCRQA functional entity.
+- 3) After the decision of QoS planning and optimization, the QQPO then determines an optimal QoS resource provisioning plan based on the available resources which matches the
+
+customer's request. Once the provisioning policy is determined, the QQPO requests provisioning to the QoS policy provisioning (QPP) functional element in the QKDN control layer QoS assurance (QCLQA) functional entity.
+
+- 4-5) QPP then performs the requested QoS provisioning task. It involves various sub-tasks including QoS related aspects: QoS provisioning, QoS policy enforcement and QoS mapping, etc. Upon completion of the provisioning process, QPP sends a provision response message to the customer via QQCE.
+- 6) At the same time, a provision status is sent to the QL QoS measurement (QQM), KML QoS measurement (KQM), and CL QoS data analysis (QDA) functional elements to initiate the monitoring and analysis of the provisioned resources.
+- 7) The status update is also sent to QDA and the QKDN QoS cross-layer support (QQCLS) in the QCRQA functional entity to store the provisioned resource information. Both QDA and QQCLS have a resource repository to store resource status information for their analysis functions.
+- 8) QQM, KQM and QDA perform collection, monitoring, and analysis tasks of the provisioned resources. The QoS related data is also collected. Data and information collected and analysed are then stored in both QDA and QQCLS repositories for further processing.
+- 9-10) The QoS policy information is also stored in QDA and QQCLS repositories. When QDA and QQCLS receive resource status updates, the updates are stored in the repository and, at the same time, a notification is emitted to all functional elements that are listening to the status updates. In this case, an update notification is sent to QKDN quantum layer management, key management layer management, and control layer management functional entities for fault, configuration, performance, security, and charging purposes, and finally to QQPO for cross-layer QoS management.
+- 11) When QQPO receives the notification, it updates the available resource status and determines if re-optimization is needed upon status updates.
+- 12) Also when the QM/KM/CM in the QKDN management function receive the notification, they perform fault, configuration, performance, security and charging management of the provisioned resources and determine if any control or re-provisioning actions are required. If so, they send a request to QPP for provisioning update processes.
+- 13-15) QPP, upon receiving the provisioning update requests, performs re-provisioning tasks for the provisioned QKDN QoS resources. When the re-provisioning tasks are done, QPP generates the provision status to QDA and QQCLS repositories and they further convey the notification to the QM/KM/CM, QQPO and QKDN QoS customer for resource status updates.
+- 16) QQPO finally sends the provision status update to the customer.
+
+# **10 Security considerations**
+
+This Recommendation specifies the functional architecture of QoS assurance for the quantum key distribution networks (QKDNs), therefore, the security aspects of QKDN functional architecture as described in [ITU-T Y.3802] should be applied. Details are outside the scope of this Recommendation.
+
+## Bibliography
+
+- [b-ITU-T E.417] Recommendation ITU-T E.417 (2005), *Framework for the network management of IP-based networks*.
+- [b-ITU-T P.10] Recommendation ITU-T P.10/G.100 (2017), *Vocabulary for performance, quality of service and quality of experience*.
+- [b-ITU-T Q.1741.9] Recommendation ITU-T Q.1741.9 (2015), *IMT-2000 references to Release 11 of GSM evolved UMTS core network*.
+- [b-ITU-T X.1500] Recommendation ITU-T X.1500 (2011), *Overview of cybersecurity information exchange*.
+- [b-ITU-T Y.3800] Recommendation ITU-T Y.3800 (2019), *Overview on networks supporting quantum key distribution*.
+- [b-ITU-T Y.3801] Recommendation ITU-T Y.3801 (2020), *Functional requirements for quantum key distribution networks*.
+- [b-ITU-T Y.3803] Recommendation ITU-T Y.3803 (2020), *Quantum key distribution networks – Key management*.
+- [b-ITU-T Y.3804] Recommendation ITU-T Y.3804 (2020), *Quantum key distribution networks – Control and management*.
+- [b-ITU-T Y.3807] Recommendation ITU-T Y.3807 (2022), *Quantum key distribution networks – Quality of service parameters*.
+- [b-Qualinet 2013] Qualinet *White Paper on Definitions of Quality of Experience* (2013), *Output from the fifth Qualinet meeting*, Novi Sad, March 12.
+[http://www.qualinet.eu/index.php?option=com\\_content&view=article&id=45&Itemid=52](http://www.qualinet.eu/index.php?option=com_content&view=article&id=45&Itemid=52)
+
+
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+# Recommendation**ITU-T Y.3814 (01/2023)**
+
+SERIES Y: Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+Quantum key distribution networks
+
+---
+
+**Quantum key distribution networks –
+Functional requirements and architecture for
+machine learning enablement**
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+## **GLOBAL INFORMATION INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS, NEXT-GENERATION NETWORKS, INTERNET OF THINGS AND SMART CITIES**
+
+## GLOBAL INFORMATION INFRASTRUCTURE
+
+| | |
+|-------------------------------------------|-------------|
+| General | Y.100–Y.199 |
+| Services, applications and middleware | Y.200–Y.299 |
+| Network aspects | Y.300–Y.399 |
+| Interfaces and protocols | Y.400–Y.499 |
+| Numbering, addressing and naming | Y.500–Y.599 |
+| Operation, administration and maintenance | Y.600–Y.699 |
+| Security | Y.700–Y.799 |
+| Performances | Y.800–Y.899 |
+
+## INTERNET PROTOCOL ASPECTS
+
+| | |
+|--------------------------------------------------------------------|---------------|
+| General | Y.1000–Y.1099 |
+| Services and applications | Y.1100–Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200–Y.1299 |
+| Transport | Y.1300–Y.1399 |
+| Interworking | Y.1400–Y.1499 |
+| Quality of service and network performance | Y.1500–Y.1599 |
+| Signalling | Y.1600–Y.1699 |
+| Operation, administration and maintenance | Y.1700–Y.1799 |
+| Charging | Y.1800–Y.1899 |
+| IPTV over NGN | Y.1900–Y.1999 |
+
+## NEXT GENERATION NETWORKS
+
+| | |
+|-------------------------------------------------------------------|---------------|
+| Frameworks and functional architecture models | Y.2000–Y.2099 |
+| Quality of Service and performance | Y.2100–Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200–Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250–Y.2299 |
+| Enhancements to NGN | Y.2300–Y.2399 |
+| Network management | Y.2400–Y.2499 |
+| Computing power networks | Y.2500–Y.2599 |
+| Packet-based Networks | Y.2600–Y.2699 |
+| Security | Y.2700–Y.2799 |
+| Generalized mobility | Y.2800–Y.2899 |
+| Carrier grade open environment | Y.2900–Y.2999 |
+
+| | |
+|-----------------|---------------|
+| FUTURE NETWORKS | Y.3000–Y.3499 |
+|-----------------|---------------|
+
+| | |
+|-----------------|---------------|
+| CLOUD COMPUTING | Y.3500–Y.3599 |
+|-----------------|---------------|
+
+| | |
+|----------|---------------|
+| BIG DATA | Y.3600–Y.3799 |
+|----------|---------------|
+
+| | |
+|------------------------------------------|----------------------|
+| QUANTUM KEY DISTRIBUTION NETWORKS | Y.3800–Y.3999 |
+|------------------------------------------|----------------------|
+
+## INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES
+
+| | |
+|---------------------------------------------------------|---------------|
+| General | Y.4000–Y.4049 |
+| Definitions and terminologies | Y.4050–Y.4099 |
+| Requirements and use cases | Y.4100–Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250–Y.4399 |
+| Frameworks, architectures and protocols | Y.4400–Y.4549 |
+| Services, applications, computation and data processing | Y.4550–Y.4699 |
+| Management, control and performance | Y.4700–Y.4799 |
+| Identification and security | Y.4800–Y.4899 |
+| Evaluation and assessment | Y.4900–Y.4999 |
+
+*For further details, please refer to the list of ITU-T Recommendations.*
+
+# Recommendation ITU-T Y.3814
+
+# Quantum key distribution networks – Functional requirements and architecture for machine learning enablement
+
+## Summary
+
+A quantum key distribution network (QKDN) is expected to maintain stable operations and meet the requirements of various cryptographic applications efficiently. Due to the advantages of machine learning (ML) related to autonomous learning, it can help to overcome the challenges of QKDN in terms of quantum layer performances, key management layer performances and QKDN control and management efficiency. Based on the functional requirements and architecture of QKDN stated in Recommendations ITU-T Y.3801 and ITU-T Y.3802, this Recommendation specifies one possible set of functional requirements and a possible architecture for an ML-enabled QKDN (QKDNml), including an overview and the functional requirements, architecture and operational procedures of QKDNml.
+
+## History
+
+| Edition | Recommendation | Approval | Study Group | Unique ID* |
+|---------|----------------|------------|-------------|---------------------------------------------------------------------------|
+| 1.0 | ITU-T Y.3814 | 2023-01-13 | 13 | 11.1002/1000/15244 |
+
+## Keywords
+
+Functional architecture, functional requirements, machine learning (ML), procedure, QKD network (QKDN), quantum key distribution (QKD).
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID. For example, .
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents/software copyrights, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the appropriate ITU-T databases available via the ITU-T website at .
+
+© ITU 2023
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | Page |
+|-------------------------------------------------------------------------------------------------------------------|------|
+| 1 Scope ..... | 1 |
+| 2 References..... | 1 |
+| 3 Definitions ..... | 1 |
+| 3.1 Terms defined elsewhere..... | 1 |
+| 3.2 Terms defined in this Recommendation..... | 3 |
+| 4 Abbreviations and acronyms ..... | 3 |
+| 5 Conventions ..... | 3 |
+| 6 Overview ..... | 3 |
+| 7 Functional requirements of QKDNml ..... | 4 |
+| 7.1 High-level requirements of QKDNml ..... | 4 |
+| 7.2 Functional requirements of QKDNml data collection..... | 5 |
+| 7.3 Functional requirements for QKDNml data pre-processing and repository .. | 5 |
+| 7.4 Functional requirements for QKDNml modelling and training ..... | 5 |
+| 8 Functional architecture of QKDNml ..... | 6 |
+| 8.1 QKDN ML layer in QKDNml..... | 7 |
+| 8.2 ML pipeline SRC/SINK in QKDNml ..... | 7 |
+| 8.3 Reference points ..... | 8 |
+| 9 Operational procedures of QKDNml..... | 9 |
+| Appendix I – Use case of the operational procedures for ML-enabled quantum channel
performance prediction..... | 11 |
+| Bibliography..... | 13 |
+
+
+
+# Recommendation ITU-T Y.3814
+
+# Quantum key distribution networks – functional requirements and architecture for machine learning enablement
+
+## 1 Scope
+
+This Recommendation specifies one possible set of functional requirements and a possible architecture for ML-enabled QKDN (QKDNml).
+
+In particular, the Recommendation includes:
+
+- Overview of QKDNml;
+- Functional requirements of QKDNml;
+- Functional architecture of QKDNml;
+- Operational procedures of QKDNml.
+
+This Recommendation specifies requirements for generic data collection. It does not specify the requirements for specific data related to personally identifiable information (PII).
+
+## 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+- [ITU-T Y.3170] Recommendation ITU-T Y.3170 (2018), *Requirements for machine learning-based quality of service assurance for the IMT-2020 network*.
+- [ITU-T Y.3172] Recommendation ITU-T Y.3172 (2019), *Architectural framework for machine learning in future networks including IMT-2020*.
+- [ITU-T Y.3800] Recommendation ITU-T Y.3800 (2019), *Overview on networks supporting quantum key distribution*.
+- [ITU-T Y.3801] Recommendation ITU-T Y.3801 (2020), *Functional requirements for quantum key distribution networks*.
+- [ITU-T Y.3802] Recommendation ITU-T Y.3802 (2020), *Quantum key distribution networks - Functional architecture*.
+
+## 3 Definitions
+
+### 3.1 Terms defined elsewhere
+
+This Recommendation uses the following terms defined elsewhere:
+
+**3.1.1 key manager (KM)** [ITU-T Y.3800]: A functional module located in a quantum key distribution (QKD) node to perform key management in the key management layer.
+
+**3.1.2 machine learning (ML)** [ITU-T Y.3172]: Processes that enable computational systems to understand data and gain knowledge from it without necessarily being explicitly programmed.
+
+NOTE – Definition adapted from [b-ETSI GR ENI 004].
+
+**3.1.3 machine learning function orchestrator (MLFO)** [ITU-T Y.3172]: A logical node with functionalities that manage and orchestrate the nodes in a machine learning pipeline.
+
+**3.1.4 machine learning model** [ITU-T Y.3172]: Model created by applying machine learning techniques to data to learn from.
+
+NOTE 1 – A machine learning model is used to generate predictions (e.g., regression, classification, clustering) on new (untrained) data.
+
+NOTE 2 – A machine learning model may be encapsulated in a deployable fashion in the form of a software (e.g., virtual machine, container) or hardware component (e.g., IoT device).
+
+NOTE 3 – Machine learning techniques include learning algorithms (e.g., learning the function that maps input data attributes to output data).
+
+**3.1.5 machine learning pipeline** [ITU-T Y.3172]: A set of logical nodes, each with specific functionalities, that can be combined to form a machine learning application in a telecommunication network.
+
+NOTE – The nodes of a machine learning pipeline are entities that are managed in a standard manner and can be hosted in a variety of network functions.
+
+**3.1.6 machine learning sandbox** [ITU-T Y.3172]: An environment in which machine learning models can be trained, verified and their effects on the network analysed.
+
+NOTE – A machine learning sandbox is designed to prevent a machine learning application from affecting the network, or to restrict the usage of certain machine learning functionalities.
+
+**3.1.7 quantum key distribution (QKD)** [b-ETSI GR QKD 007]: Procedure or method for generating and distributing symmetrical cryptographic keys with information theoretical security based on quantum information theory.
+
+**3.1.8 quantum key distribution link (QKD link)** [ITU-T Y.3800]: A communication link between two quantum key distribution (QKD) modules to operate the QKD.
+
+NOTE – A QKD link consists of a quantum channel for the transmission of quantum signals, and a classical channel used to exchange information for synchronization and key distillation.
+
+**3.1.9 quantum key distribution module (QKD module)** [ITU-T Y.3800]: A set of hardware and software components that implements cryptographic functions and quantum optical processes, including quantum key distribution (QKD) protocols, synchronization, distillation for key generation, and is contained within a defined cryptographic boundary.
+
+NOTE – A QKD module is connected to a QKD link, acting as an endpoint module in which a key is generated. These are two types of QKD modules, namely, the transmitters (QKD-Tx) and the receivers (QKD-Rx).
+
+**3.1.10 quantum key distribution network (QKDN)** [ITU-T Y.3800]: A network comprised of two or more quantum key distribution (QKD) nodes connected through QKD links.
+
+NOTE – A QKDN allows sharing keys between the QKD nodes by key relay when they are not directly connected by a QKD link.
+
+**3.1.11 quantum key distribution network controller (QKDN controller)** [ITU-T Y.3800]: A functional module, which is located in a quantum key distribution (QKD) network control layer to control a QKD network.
+
+**3.1.12 quantum key distribution network manager (QKDN manager)** [ITU-T Y.3800]: A functional module, which is located in a quantum key distribution (QKD) network management layer to monitor and manage a QKD network.
+
+**3.1.13 quantum key distribution node (QKD node)** [ITU-T Y.3800]: A node that contains one or more quantum key distribution (QKD) modules protected against intrusion and attacks by unauthorized parties.
+
+NOTE – A QKD node can contain a key manager (KM).
+
+### 3.2 Terms defined in this Recommendation
+
+This Recommendation defines the following term:
+
+**3.2.1 Machine learning-enabled quantum key distribution network (ML-enabled QKDN):** A quantum key distribution network (QKDN) that extends or enhances its functionalities enabled by machine learning (ML) capabilities to achieve different objectives.
+
+NOTE 1 – ML is an optional functionality for QKDN.
+
+NOTE 2 – Examples of different objectives are specified in [b-ITU-T Y-Suppl.70].
+
+## 4 Abbreviations and acronyms
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|--------|------------------------------------------------------------|
+| C | Collector (machine learning pipeline) |
+| D | Distribution (machine learning pipeline) |
+| FCAPS | Fault, Configuration, Accounting, Performance and Security |
+| KM | Key Manager |
+| M | Model (machine learning pipeline) |
+| ML | Machine Learning |
+| MLFO | Machine Learning Function Orchestrator |
+| P | Policy (machine learning pipeline) |
+| PII | Personally Identifiable Information |
+| PP | Pre-Processor (machine learning pipeline) |
+| QKD | Quantum Key Distribution |
+| QKDN | Quantum Key Distribution Network |
+| QKDNml | ML-enabled Quantum Key Distribution Network |
+| RUL | Remaining Use Life |
+| SINK | Sink node |
+| SRC | Source node |
+| XLMO | Cross-Layer Management and Orchestration |
+
+## 5 Conventions
+
+In this Recommendation:
+
+The keywords "is required to" indicate a requirement which must be strictly followed and from which no deviation is permitted if conformance to this document is to be claimed.
+
+The keywords "is recommended" indicate a requirement which is recommended but which is not absolutely required. Thus, this requirement need not be present to claim conformance.
+
+## 6 Overview
+
+QKDN is a technology that extends the reachability and availability of QKD, as stated in [ITU-T Y.3800]. A QKDN comprises two or more QKD nodes connected through QKD links. In a QKDN, two or more designated parties in a user network can share the keys for various cryptographic applications. A QKDN is expected to maintain stable operations and meet the requirements of various cryptographic applications in an efficient way. However, when the QKDN becomes large scale and
+
+complex, QKDN performance optimization in the quantum layer, key management layer, QKDN control and management layer can be challenging.
+
+In detail, to improve its performance, a QKDN faces the following important challenges:
+
+- 1) Without awareness of sudden QKDN performance deterioration in advance, the cost (e.g., time cost, labour cost) and instability of a QKDN will increase.
+- 2) For the large amount of heterogenous data in a QKDN, there is difficulty to accurately perceive the needed and valuable information for use, which will affect QKDN performance.
+- 3) Since the requirements of cryptographic applications vary (e.g., different security requirements) and a large number of cryptographic applications arrive and leave dynamically, it is difficult to schedule the QKDN resources for cryptographic applications given the limited resources available.
+
+To overcome the above challenges, applying machine learning (ML) technology to QKDN is a promising solution. ML can extract implicit relationships between input and output data, and use this learned mapping to analyse new data. It has been applied to the networking field, which can intelligently learn various network environments and react to dynamic situations ([ITU-T Y.3170]). In recent years, ML technologies based on neural networks have seen many developments in both hardware and software, and they have attracted attention from both academia and industry. An increasing number of new low-power devices are also implementing on-board acceleration chips for neural networks.
+
+There can be many benefits of enabling ML in QKDN. Application use cases of enabling ML to achieve different objectives in a QKDN have been specified in [b-ITU-T Y-Suppl.70]. In the quantum layer of a QKDN, ML can be applied to realize quantum channel performance prediction, QKD system parameter optimization and RUL prediction of components in a QKD system; in the key management layer of a QKDN, ML can be applied to realize intelligent key formatting, key storage management, and suspicious behaviour detection; in the control and management layers of a QKDN, ML can be applied in key relay routing and fault prediction to improve control and management efficiency.
+
+With the advantages of ML and particularly those related to autonomous learning, ML can support overcoming the challenges of QKDN performance optimization in the quantum layer, key management layer, and QKDN control and management layer. Thus, an ML-enabled QKDN (QKDNml) can accelerate the optimization of a QKDN by extending or enhancing QKDN functionalities. Note, however, that ML is an optional functionality for the QKDN according to the functional requirements and architecture of the QKDN stated in [ITU-T Y.3801] and [ITU-T Y.3802]. To enable ML for a QKDN, this Recommendation specifies one possible set of functional requirements and a possible architecture for QKDNml, including an overview and the functional requirements, architecture and operational procedures of QKDNml.
+
+## **7 Functional requirements of QKDNml**
+
+The additional high-level and functional requirements related to ML are specified in this subclause to extend the high-level requirements defined in [ITU-T Y.3801].
+
+### **7.1 High-level requirements of QKDNml**
+
+The high-level requirements of QKDNml are as follows:
+
+- It is required to support configuration, management and orchestration for ML-related functional components;
+- It is required to support data collection, data pre-processing, data repository, modelling and training functions;
+- It is required to support ML models for different objectives in QKDNml;
+
+- It is recommended to use the existing reference points defined in [ITU-T Y.3802] and extend them with reference points specific to ML capabilities;
+- It is recommended to use declarative specifications for specifying different objectives in QKDNml.
+
+### 7.2 Functional requirements of QKDNml data collection
+
+QKDN data can be collected from the quantum layer, key management layer, QKDN control layer, QKDN management layer, service layer and user network management layer either passively or actively. The functional requirements of QKDNml data collection are as follows:
+
+- It is required to be able to collect both static and dynamic QKDN data from the quantum layer, key management layer, QKDN control layer and QKDN management layer.
+ NOTE 1 – Static QKDN data can be collected from the quantum layer, for example, parameters of QKD modules and history status information of QKD modules; dynamic QKDN data can be collected from the quantum layer, for example, quantum bit error rates, key generation rates and performance information of QKD modules.
+ NOTE 2 – Static QKDN data can be collected from the key management layer, for example, history key management layer data set; dynamic QKDN data can be collected from the key management layer, for example, status of key storage and status of key authentication.
+ NOTE 3 – Static QKDN data can be collected from the QKDN control layer, for example, parameters of QKD modules and history status information of QKD modules; dynamic QKDN data can be collected from the QKDN control layer, for example, routing and rerouting information and status of resource allocation.
+ NOTE 4 – Static QKDN data can be collected from the QKDN management layer, for example, history data of fault management, history data of configuration and history data of security management; dynamic QKDN data can be collected from the QKDN management layer, for example, multilayer resource usage data and multilayer performance data.
+- It is recommended to collect both static and dynamic QKDN data from the service layer and user network management layer.
+ NOTE 1 – Static QKDN data can be collected from the service layer, for example, history cryptographic application information; dynamic QKDN data can be collected from the service layer, for example, current cryptographic applications information.
+ NOTE 2 – Static QKDN data can be collected from the user network management layer, for example, history user requirements; dynamic QKDN data can be collected from the user network management layer, for example, current user requirements.
+
+### 7.3 Functional requirements for QKDNml data pre-processing and repository
+
+The functional requirements of QKDNml data pre-processing and repository are as follows:
+
+- It is required to perform extract-transform-load and transform the collected multisource, heterogeneous QKDN raw data into understandable, unified and easy-to-use structures.
+- It is required to clean and filter noisy data from the collected heterogeneous QKDN raw data.
+- It is recommended to normalize and unify the data format of the collected heterogeneous QKDN raw data for further storage and analysis.
+- It is recommended to store the heterogeneous QKDN pre-processed data.
+- It is recommended to store catalogues and data sets for ML models.
+
+### 7.4 Functional requirements for QKDNml modelling and training
+
+The functional requirements of QKDNml modelling and training are as follows:
+
+- It is required to support ML models based on the pre-processed QKDN data and the specified objective.
+
+- It is required to support ML model training and model updates while preventing impact on QKDNml.
+- It is recommended to train ML models based on the available pre-processed QKDN data for the specified objective in QKDNml.
+
+## 8 Functional architecture of QKDNml
+
+
+
+Figure 8-1: Functional architecture model of QKDNml. The diagram shows a multi-layered architecture. At the top is the 'Service layer' containing a 'Cryptographic application' with an external interface 'Ax'. This connects via 'Ma' to the 'User network management layer' containing a 'User network manager'. Below these is the 'QKDN ML layer' (shaded), which includes 'QKDN ML functions', 'QKDN ML repository', 'QKDN ML sandbox', and 'QKDN ML management'. This layer connects via 'Mu' to the 'QKDN control layer' and 'QKDN management layer'. The 'QKDN control layer' contains a 'QKDN controller' with sub-components: 'Access control', 'Policy based control', 'Routing control', 'Session control', 'Configuration control', and 'QKDN controller control and management'. It has an external interface 'Cx' and connects via 'Ck' to the 'Key management layer'. The 'Key management layer' contains 'Key manager (KM)', 'KSA', 'KMA', and 'KM control and management'. It connects via 'Mk' to the 'QKDN management layer'. The 'QKDN management layer' contains a 'QKDN manager' with 'FCAPS functions' (Control layer management, Key management layer management, Quantum layer management) and 'ML SRC/SINK' blocks for each. A vertical bar on the right is labeled 'Cross-layer management orchestration'. The 'QKDN management layer' connects via 'Mml' to the 'QKDN ML layer'. The 'QKDN management layer' also connects via 'Mc', 'Cqrp', 'Cops', 'Mq', 'Mops', and 'Mqrp' to the 'Quantum layer'. The 'Quantum layer' contains a 'QKD module' and a 'QKD link'. The 'QKD module' connects via 'Kq-1' and 'Kq-2' to the 'QKD link'. The 'QKD link' connects via 'Mqrp' to the 'QKDN management layer'. The diagram is labeled 'Y.3814(23)' at the bottom right.
+
+**Figure 8-1 – Functional architecture model of QKDNml**
+
+To enable ML capabilities for QKDN, a new QKDN ML layer is introduced with QKDN layer specific ML capabilities. The QKDN ML layer consists of QKDN ML functions, a QKDN ML repository, a QKDN ML sandbox and QKDN ML management. The QKDN management layer also specifies QKDN layer specific ML source nodes (SRCs) and SINKs. ML pipelines in QKDNml can be constructed to realize ML applications for different objectives. The interaction between QKDN ML layer and QKDN management layer is made through a newly introduced reference point Mml between QKDN ML management in the QKDN ML layer and the cross-layer management orchestration in the QKDN management layer. The functional architecture model of QKDNml is specified in Figure 8-1.
+
+### 8.1 QKDN ML layer in QKDNml
+
+There are QKDN ML functions, QKDN ML repository, QKDN ML sandbox ([ITU-T Y.3172]), and QKDN ML management in the QKDN ML layer, which are responsible for configuration, management and orchestration for ML-related functional components in QKDNml.
+
+#### 8.1.1 QKDN ML functions
+
+The QKDN ML functions support a set of functional elements in a ML pipeline subsystem including collector (C), pre-processor (PP), model (M), policy (P) and distributor (D).
+
+- **C:** responsible for collecting QKDN data from one or more SRC(s). The C may have the capability to configure SRC nodes. Such configurations may be used to control the nature of data, its granularity and periodicity while it is generated from SRCs.
+- **PP:** responsible for cleaning, aggregating, normalizing and performing any other PP of heterogeneous data that should be in a suitable form so that the M can consume it.
+- **M:** responsible for deploying the trained ML models for different objectives in QKDNml.
+- **P:** responsible for making P decisions in QKDNml based on the results of the M.
+- **D:** responsible for identifying the SINK(s) and distributing the P decisions to the corresponding SINK(s) in QKDNml.
+
+#### 8.1.2 QKDN ML repository
+
+The ML repository's function is to store various data sets collected from ML SRCs, pre-processed by PP, generated by ML models and catalogues of ML models, and so on. It can be used by QKDN ML management, ML functions and the ML sandbox.
+
+#### 8.1.3 QKDN ML sandbox
+
+A QKDN ML sandbox is an isolated domain that allows the hosting of separate ML pipelines to train, test and evaluate them before deploying them in a QKDN. The QKDN ML sandbox subsystem allows network operators to study the effect of ML outputs before deploying them on live QKDNs. For training or testing, the QKDN ML sandbox can use data generated from a simulated ML underlay QKDN.
+
+#### 8.1.4 QKDN ML management
+
+This QKDN ML management includes intent and a machine learning function orchestrator (MLFO).
+
+- **Intent in QKDNml:** Intent is a declarative description ([ITU-T Y.3172]) in QKDNml. The intent provides a basis for mapping ML use cases to different QKDN layers.
+
+NOTE 1 – Intent is a declarative description which is used to specify a ML application. Intent does not specify any technology-specific network functions to be used in the ML application and provides a basis for mapping ML use cases to diverse technology-specific instantiations. Intent can use a meta language specific for machine learning to define ML applications. ([ITU-T Y.3172])
+
+- **MLFO in QKDNml:** MLFO has functionalities that manage and orchestrate the nodes of the ML pipelines and ML sandbox based on the intent or dynamic conditions in QKDNml. The MLFO provides chaining functionality, i.e., connecting ML nodes together to form an ML pipeline. It also supports ML model selection for different objectives.
+
+NOTE 2 – For example, chaining can be used to connect an SRC specific to the quantum layer with the ML functions in the QKDN ML layer. The MLFO determines the chaining considering the constraints (e.g., timing constraints for prediction). ([ITU-T Y.3172])
+
+### 8.2 ML pipeline SRC/SINK in QKDNml
+
+An ML pipeline in QKDNml is a set of logical nodes, each with specific functionalities that can be combined to form an ML application in QKDNml. The ML pipeline in QKDNml has three parts including SRCs, ML functions and SINKs. The ML functions are able to collect input data from SRCs
+
+([ITU-T Y.3172]) in different QKDN layers. The SINK, as the target of the ML output ([ITU-T Y.3172]), can be the elements in quantum layer, key management layer and QKDN control and management layers. The ML pipeline SRCs and SINKs are managed in fault, configuration, accounting, performance and security (FCAPS) function in the QKDN management layer. More details related to the ML pipeline can be found in [ITU-T Y.3172].
+
+#### 8.2.1 SRCs in QKDNml
+
+The SRCs in QKDNml are the source nodes of QKDN data that can be used as input to the ML functions in QKDNml. The types of SRCs include:
+
+- **Quantum layer ML SRC:** responsible for reporting the data (static, dynamic) from QKD modules and links in the quantum layer to QKDN ML functions;
+- **Key management layer ML SRC:** responsible for reporting the data (static, dynamic) from the key manager in the key management layer to QKDN ML functions;
+- **Control layer ML SRC:** responsible for reporting the data (static, dynamic) from the QKDN controller in the QKDN control layer to QKDN ML functions.
+
+#### 8.2.2 SINKs in QKDNml
+
+The SINKs are the targets of the ML output in QKDNml on which actions are taken. The types of SINKs can include:
+
+- **Quantum layer ML SINK:** represents that the QKD module or the QKD link is the target of configurations (as a result of ML pipeline execution) in the quantum layer;
+NOTE 1 – ML output is applied to QKD modules or QKD links to optimize quantum layer performances of QKDN. The use cases can include ML-based QKD system parameter optimization, ML-based quantum channel performance prediction and ML-based RUL prediction of components in a QKD system ([b-ITU-T Y-Suppl.70]).
+- **Key management layer ML SINK:** represents that the key manager is the target of configurations in the key management layer;
+NOTE 2 – ML output is applied to the key manager in the key management layer to optimize key management efficiency and stability. Three use cases are ML-based key formatting, ML-based key storage management and ML-based suspicious behaviour detection in the key management layer ([b-ITU-T Y-Suppl.70]).
+- **Control layer ML SINK:** represents that the QKDN controller is the target of configurations in the QKDN control layer.
+NOTE 3 – ML output is applied to the QKDN controller in the QKDN control layer to improve QKDN control efficiency. Two use cases are ML-based data collection and data pre-processing and ML-based routing ([b-ITU-T Y-Suppl.70]).
+
+### 8.3 Reference points
+
+Most of the reference points in Figure 8-1 have been defined in [ITU-T Y.3802]. This Recommendation defines the newly added one and presents the existing ones related to ML functionalities.
+
+NOTE – The new, extended ML-enabled functions are implemented by extending the interaction information of reference points.
+
+The newly added reference point is:
+
+- **Mml:** a reference point connecting QKDN ML management and the QKDN manager. It is responsible for exchanging the intent information and the management and orchestration information of MLFO between the QKDN ML management and the QKDN manager.
+
+The existing reference points in [ITU-T Y.3802] related to ML include:
+
+- **Mc**: a reference point connecting the QKDN manager and a QKDN controller control and management function in a QKDN controller. It is responsible for the QKDN manager's collecting the data from the QKDN controller for ML functions and applying ML output on the QKDN controller.
+- **Mk**: a reference point connecting the QKDN manager and a KM control and management function in a KM. It is responsible for the QKDN manager's collecting the data from KM for ML functions and applying ML output on the KM.
+- **Mq**: a reference point connecting the QKDN manager with a QKD module control and management function in a QKD module. It is responsible for the QKDN manager's collecting the data from QKD modules for ML functions and applying ML output on QKD modules.
+- **Mqrp, Mops**: reference points connecting the QKDN manager and the QKD link. They are responsible for the QKDN manager's collecting the data from QKD links for ML functions and applying ML output on QKD links.
+
+## 9 Operational procedures of QKDNml
+
+In QKDNml, QKDN functionalities are extended or enhanced by enabling ML capabilities for different objectives. Figure 9-1 shows a general operational procedure of QKDNml for a specific objective.
+
+
+
+```
+
+sequenceDiagram
+ participant QKDN_ML_management as QKDN ML management
+ participant XLMO as XLMO
+ participant QKDN_ML_SRC as QKDN ML SRC
+ participant QKDN_ML_functions as QKDN ML functions
+ participant QKDN_ML_SINK as QKDN ML SINK
+
+ QKDN_ML_management->>QKDN_ML_management: 1. Translate the objective into QKDNml intent and obtain management and orchestration information
+ QKDN_ML_management->>XLMO: 2. Input the management and orchestration information of MLFO
+ XLMO->>XLMO: 3. Manage and orchestrate the ML pipeline nodes
+ XLMO->>QKDN_ML_SRC: 4-1. Configure QKDN ML SRCs
+ XLMO->>QKDN_ML_functions: 4-2. Configure QKDN ML functions
+ XLMO->>QKDN_ML_SINK: 4-3. Configure QKDN ML SINKs
+ XLMO->>QKDN_ML_SRC: 5. Collect the needed QKDN data
+ QKDN_ML_SRC->>QKDN_ML_functions: 6. Report the collected data to ML functions
+ QKDN_ML_functions->>QKDN_ML_functions: 7. Perform the ML functions
+ QKDN_ML_functions->>QKDN_ML_SINK: 8. Distribute the ML output to QKDN ML SINK
+ QKDN_ML_SINK->>QKDN_ML_SINK: 9. Take actions on the target QKDN functional element
+
+```
+
+The diagram illustrates the operational procedure of QKDNml across four layers: QKDN ML layer (management), QKDN management layer (XLMO, SRC), QKDN ML layer (functions), and QKDN management layer (SINK). The steps are as follows:
+
+1. Translate the objective into QKDNml intent and obtain management and orchestration information (QKDN ML management).
+2. Input the management and orchestration information of MLFO (QKDN ML management to XLMO).
+3. Manage and orchestrate the ML pipeline nodes (XLMO).
+- 4-1. Configure QKDN ML SRCs (XLMO to QKDN ML SRC).
+- 4-2. Configure QKDN ML functions (XLMO to QKDN ML functions).
+- 4-3. Configure QKDN ML SINKs (XLMO to QKDN ML SINK).
+5. Collect the needed QKDN data (XLMO to QKDN ML SRC).
+6. Report the collected data to ML functions (QKDN ML SRC to QKDN ML functions).
+7. Perform the ML functions (QKDN ML functions).
+8. Distribute the ML output to QKDN ML SINK (QKDN ML functions to QKDN ML SINK).
+9. Take actions on the target QKDN functional element (QKDN ML SINK).
+
+Figure 9-1: A general operational procedure of QKDNml. The diagram shows a sequence of steps across four layers: QKDN ML layer (management), QKDN management layer (XLMO, SRC), QKDN ML layer (functions), and QKDN management layer (SINK).
+
+**Figure 9-1 – A general operational procedure of QKDNml**
+
+- 1) QKDN ML management translates the objective of the ML application in QKDNml into QKDNml intent, which is a declarative description used to specify the objectives of extending
+
+or enhancing the QKDN functionalities using ML. The intent is the information for technology-specific implementation.
+
+- 2) QKDN ML management inputs the management and orchestration information of MLFO to cross-layer management orchestration (XLMO) in the QKDN manager using the reference point Mml.
+- 3) XLMO manages and orchestrates the ML pipeline nodes based on the intent or dynamic network conditions.
+- 4) XLMO configures QKDN ML SRCs and ML SINKs using the reference points among Mc, Mk, Mq, Mqrp, Mops and Mu; XLMO configures QKDN ML functions using the reference point Mml.
+- 5) QKDN ML SRCs collect the needed QKDN data from QKDN layers.
+- 6) QKDN ML SRCs report the collected QKDN data to the QKDN ML functions.
+- 7) QKDN ML functions in the QKDN ML layer are performed.
+
+NOTE – In the ML functions, the C collects the data reported from SRCs to PP. PP cleans the collected QKDN data by removing noisy data and transforms the cleaned data into a unified data format. The pre-processed QKDN data is transferred to M. The intent is performed by the deployed M selected by the MLFO. The outputs of the ML model are transferred to the P. Given ML output of M, a QKDN policy decision can be made by P. The policy decision results are transferred to D.
+
+- 8) D distributes the ML output to the QKDN ML SINKs instantiated by the components in QKDN layers corresponding to the intent in QKDNml.
+- 9) QKDN ML pipeline SINK takes actions on the target QKDN functional element.
+
+## Appendix I
+
+### Use case of the operational procedures for ML-enabled quantum channel performance prediction
+
+(This appendix does not form an integral part of this Recommendation.)
+
+During the QKD process, the noise in the quantum channel will reduce the quality of the quantum channel and cause a low key rate. The use case of ML-enabled quantum channel performance prediction ([b-ITU-T Y-Suppl.70]) is shown. Firstly, the quantum channel related data and the corresponding quantum channel performance are collected through quantum channel measurement for ML model training and testing. Then, with the trained ML model, the quantum channel performance can be predicted based on the current input quantum channel related data. Lastly, according to the predicted channel performance, feedback and adjustment can be finished in advance to improve the channel environment and reduce unnecessary loss caused by key rate decreases. The detailed operational procedures are as follows:
+
+- 1) The intent translated by QKDN ML management is used to specify the quantum channel performance prediction, and is then input into the MLFO to obtain management and orchestration information. The quantum channel performance prediction forecasts the future quantum channel performance under different channel noise environments, so that measures can be taken in advance based on the predictions to improve the channel environment and leave the quantum channel in an optimal performance state.
+- 2) QKDN ML management inputs the management and orchestration information of MLFO to XLMO in the QKDN manager using the reference point Mml. The information specifies managing and orchestrating the ML pipeline subsystems to realize ML-based quantum channel performance prediction. The information can include the need to configure the quantum layer ML SRC, QKDN ML functions and quantum layer ML SINK.
+- 3) XLMO manages and orchestrates the ML pipeline nodes for connecting ML pipeline nodes together to form an ML pipeline including quantum layer ML SRC, QKDN ML functions and quantum layer ML SINK.
+- 4) XLMO configures quantum layer ML SRC and quantum layer ML SINK using the reference points Mq; XLMO configures QKDN ML functions using the reference point Mml.
+- 5) Quantum layer ML SRC collects the quantum channel parameters in the quantum layer.
+- 6) Quantum layer ML SRC reports the collected QKDN data to the QKDN ML functions.
+- 7) QKDN ML functions in the QKDN ML layer are performed.
+
+NOTE 1 – C transfers the collected data to the PP, which includes the quantum-channel-performance-related parameters, such as the quantum bit error rate (QBER) of quantum channel, the single photon detection output counter and code formation rates under different noise environments.
+
+NOTE 2 – PP cleans the collected QKDN data by removing noisy data and transforms the cleaned data into a unified data format. The pre-processed QKDN data is transferred to M after intelligent analysis.
+
+NOTE 3 – Quantum channel performance prediction is performed by the ML models in the M. The outputs of the ML model are the predicted quantum channel performance values, which are transferred to the P.
+
+NOTE 4 – Given the predicted quantum channel performance, a Q policy decision is made by the P to minimize impacts when the output of ML is applied to a live network. The policy decision results are transferred to the D.
+
+- 8) Distributes the ML output related to the predicted channel performance to the quantum layer ML SINK instantiated by the QKD modules in the quantum layer.
+
+- 9) According to the predicted channel performance, feedback and adjustment can be finished by quantum layer ML SINK to improve the channel environment and reduce unnecessary loss caused by key rate decreases.
+
+## Bibliography
+
+- [b-ITU-T Y-Suppl.70] Supplement 70 to ITU-T Y.3800-series Recommendations (2021), *Quantum key distribution networks – Applications of machine learning*.
+- [b-ETSI GR ENI 004] ETSI GR ENI 004 V1.1.1 (2018), *Experiential networked intelligence (ENI); Terminology for main concepts in ENI*.
+- [b-ETSI GR QKD 007] ETSI GR QKD 007 (2018), *Quantum key distribution (QKD); Vocabulary*.
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+# Recommendation**ITU-T Y.3815 (09/2023)**
+
+SERIES Y: Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+Quantum key distribution networks
+
+# --- **Quantum key distribution networks – Overview of resilience**
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+# **GLOBAL INFORMATION INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS, NEXT-GENERATION NETWORKS, INTERNET OF THINGS AND SMART CITIES**
+
+| | |
+|--------------------------------------------------------------------|----------------------|
+| GLOBAL INFORMATION INFRASTRUCTURE | Y.100-Y.999 |
+| General | Y.100-Y.199 |
+| Services, applications and middleware | Y.200-Y.299 |
+| Network aspects | Y.300-Y.399 |
+| Interfaces and protocols | Y.400-Y.499 |
+| Numbering, addressing and naming | Y.500-Y.599 |
+| Operation, administration and maintenance | Y.600-Y.699 |
+| Security | Y.700-Y.799 |
+| Performances | Y.800-Y.899 |
+| INTERNET PROTOCOL ASPECTS | Y.1000-Y.1999 |
+| General | Y.1000-Y.1099 |
+| Services and applications | Y.1100-Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200-Y.1299 |
+| Transport | Y.1300-Y.1399 |
+| Interworking | Y.1400-Y.1499 |
+| Quality of service and network performance | Y.1500-Y.1599 |
+| Signalling | Y.1600-Y.1699 |
+| Operation, administration and maintenance | Y.1700-Y.1799 |
+| Charging | Y.1800-Y.1899 |
+| IPTV over NGN | Y.1900-Y.1999 |
+| NEXT GENERATION NETWORKS | Y.2000-Y.2999 |
+| Frameworks and functional architecture models | Y.2000-Y.2099 |
+| Quality of Service and performance | Y.2100-Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200-Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250-Y.2299 |
+| Enhancements to NGN | Y.2300-Y.2399 |
+| Network management | Y.2400-Y.2499 |
+| Computing power networks | Y.2500-Y.2599 |
+| Packet-based Networks | Y.2600-Y.2699 |
+| Security | Y.2700-Y.2799 |
+| Generalized mobility | Y.2800-Y.2899 |
+| Carrier grade open environment | Y.2900-Y.2999 |
+| FUTURE NETWORKS | Y.3000-Y.3499 |
+| CLOUD COMPUTING | Y.3500-Y.3599 |
+| BIG DATA | Y.3600-Y.3799 |
+| QUANTUM KEY DISTRIBUTION NETWORKS | Y.3800-Y.3999 |
+| INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES | Y.4000-Y.4999 |
+| General | Y.4000-Y.4049 |
+| Definitions and terminologies | Y.4050-Y.4099 |
+| Requirements and use cases | Y.4100-Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250-Y.4399 |
+| Frameworks, architectures and protocols | Y.4400-Y.4549 |
+| Services, applications, computation and data processing | Y.4550-Y.4699 |
+| Management, control and performance | Y.4700-Y.4799 |
+| Identification and security | Y.4800-Y.4899 |
+| Evaluation and assessment | Y.4900-Y.4999 |
+
+*For further details, please refer to the list of ITU-T Recommendations.*
+
+# Recommendation ITU-T Y.3815
+
+# Quantum key distribution networks – Overview of resilience
+
+## Summary
+
+Recommendation ITU-T Y.3815 gives an overview of resilience and conceptual models of protection and recovery for quantum key distribution networks for seamless key supply even in the case of network failure.
+
+## History \*
+
+| Edition | Recommendation | Approval | Study Group | Unique ID |
+|---------|----------------|------------|-------------|--------------------|
+| 1.0 | ITU-T Y.3815 | 2023-09-29 | 13 | 11.1002/1000/15643 |
+
+## Keywords
+
+Conceptual model, overview, QKD network (QKDN), quantum key distribution (QKD), resilience.
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID.
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+### NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents/software copyrights, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the appropriate ITU-T databases available via the ITU-T website at .
+
+© ITU 2023
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | Page |
+|-----------------------------------------------|-------------|
+| 1 Scope ..... | 1 |
+| 2 References..... | 1 |
+| 3 Definitions ..... | 1 |
+| 3.1 Terms defined elsewhere..... | 1 |
+| 3.2 Terms defined in this Recommendation..... | 2 |
+| 4 Abbreviations and acronyms ..... | 2 |
+| 5 Conventions ..... | 2 |
+| 6 Introduction ..... | 3 |
+| 7 Protection of key supply in QKDN ..... | 4 |
+| 7.1 Protection in quantum layer..... | 4 |
+| 7.2 Protection in key management layer ..... | 6 |
+| 8 Recovery of key supply in QKDN..... | 6 |
+| Bibliography..... | 8 |
+
+
+
+# Recommendation ITU-T Y.3815
+
+# Quantum key distribution networks – Overview of resilience
+
+## 1 Scope
+
+This Recommendation gives an overview of resilience and the conceptual models of protection and recovery for quantum key distribution networks (QKDNs).
+
+This Recommendation includes the following:
+
+- an introduction to resilience in QKDNs;
+- protection of key supply in QKDNs;
+- recovery of key supply in QKDNs.
+
+## 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+- [ITU-T Y.3800] Recommendation ITU-T Y.3800 (2019), *Overview on networks supporting quantum key distribution*.
+- [ITU-T Y.3801] Recommendation ITU-T Y.3801 (2020), *Functional requirements for quantum key distribution networks*.
+- [ITU-T Y.3802] Recommendation ITU-T Y.3802 (2020), *Quantum key distribution networks – Functional architecture*.
+- [ITU-T Y.3803] Recommendation ITU-T Y.3803 (2020), *Quantum key distribution networks – Key management*.
+- [ITU-T Y.3804] Recommendation ITU-T Y.3804 (2020), *Quantum key distribution networks – Control and management*.
+
+## 3 Definitions
+
+### 3.1 Terms defined elsewhere
+
+This Recommendation uses the following terms defined elsewhere:
+
+**3.1.1 key manager (KM)** [ITU-T Y.3800]: A functional module located in a quantum key distribution (QKD) node to perform key management in the key management layer.
+
+**3.1.2 key relay** [ITU-T Y.3800]: A method to share keys between arbitrary quantum key distribution (QKD) nodes via intermediate QKD node(s).
+
+**3.1.3 key supply** [ITU-T Y.3800]: A function providing keys to cryptographic applications.
+
+**3.1.4 key supply agent-key (KSA-key)** [ITU-T Y.3803]: Key data stored and processed in a key supply agent (KSA), and securely shared between a KSA and a matching KSA.
+
+**3.1.5 quantum key distribution** [b-ETSI GR QKD 007]: Procedure or method for generating and distributing symmetrical cryptographic keys with information theoretical security based on quantum information theory.
+
+**3.1.6 quantum key distribution key (QKD key)** [ITU-T Y.3802]: A pair of symmetric random bit strings generated by a pair of quantum key distribution (QKD) modules, particularly referring to random bit strings before being resized and formatted in a key manager (KM).
+
+**3.1.7 quantum key distribution link** [ITU-T Y.3800]: A communication link between two quantum key distribution (QKD) modules to operate the QKD.
+
+NOTE – A QKD link consists of a quantum channel for the transmission of quantum signals, and a classical channel used to exchange information for synchronization and key distillation.
+
+**3.1.8 quantum key distribution module** [ITU-T Y.3800]: A set of hardware and software components that implements cryptographic functions and quantum optical processes, including quantum key distribution (QKD) protocols, synchronization, distillation for key generation, and is contained within a defined cryptographic boundary.
+
+NOTE – A QKD module is connected to a QKD link, acting as an endpoint module in which a key is generated. These are two types of QKD modules, namely, the transmitters (QKD-Tx) and the receivers (QKD-Rx).
+
+**3.1.9 quantum key distribution network (QKDN)** [ITU-T Y.3800]: A network comprised of two or more quantum key distribution (QKD) nodes connected through QKD links.
+
+**3.1.10 quantum key distribution network controller** [ITU-T Y.3800]: A functional module, which is located in a quantum key distribution (QKD) network control layer to control a QKD network.
+
+**3.1.11 quantum key distribution network manager** [ITU-T Y.3800]: A functional module, which is located in a quantum key distribution (QKD) network management layer to monitor and manage a QKD network.
+
+**3.1.12 quantum key distribution node** [ITU-T Y.3800]: A node that contains one or more quantum key distribution (QKD) modules protected against intrusion and attacks by unauthorized parties.
+
+NOTE – A QKD node can contain a key manager (KM).
+
+**3.1.13 user network** [ITU-T Y.3800]: A network in which cryptographic applications consume keys supplied by a quantum key distribution (QKD) network.
+
+### **3.2 Terms defined in this Recommendation**
+
+None.
+
+## **4 Abbreviations and acronyms**
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|------|----------------------------------|
+| KM | Key Manager |
+| KML | Key Management Layer |
+| KSA | Key Supply Agent |
+| QKD | Quantum Key Distribution |
+| QKDN | Quantum Key Distribution Network |
+| QL | Quantum Layer |
+
+# **5 Conventions**
+
+None.
+
+# 6 Introduction
+
+The capability against failures, commonly referred to as resilience, is of positive significance for the construction of QKDN as described in [ITU-T Y.3800]. Resilience for QKDN, called "QKDN resilience" in this Recommendation, is the ability to provide and maintain an acceptable service level in the face of failures based on prepared facilities, which can be supported by protection and recovery of key supply in QKDN, thereby maintaining seamless key supply even in the case of network failures. This Recommendation gives an overview of resilience in QKDN, mainly from the aspects of protection and recovery of key supply, which is supported by functions specified in [ITU-T Y.3801], [ITU-T Y.3802], [ITU-T Y.3803] and [ITU-T Y.3804].
+
+NOTE – Beyond protection or recovery specified in this Recommendation, there are other options to support resilience.
+
+Providing seamless key supply for a user network is important. Different kinds of failure in QKDN can affect or even interrupt key supply. This Recommendation describes how to protect a QKDN from key supply interruption and how to recover the key supply. For example, if communication on quantum channels are interrupted for reasons such as severed optical fibre, interruption of key supply can occur. Thus, this Recommendation gives an overview of resilience in QKDN to support seamless key supply even if a network fails.
+
+As shown in Figure 1, key supply to cryptographic applications can be interrupted by potential failures occurring in either the key management layer (KML) or the quantum layer (QL). This Recommendation considers the following conceptual models of QKDN resilience support by:
+
+- 1) protection of key supply;
+- 2) recovery of key supply.
+
+
+
+Figure 1 illustrates the architecture of a QKDN and the potential points of key supply failure. The architecture is organized into four main layers:
+
+- Service layer:** Contains two Cryptographic applications connected by an Application link. A Network manager is also present.
+- QKDN control layer:** Contains three QKDN controllers.
+- Key management layer:** Contains three Key Managers (KMA, KMW, KMB) connected by Key Management links (KM links).
+- Quantum layer:** Contains three QKD modules (QKD module A, QKD module W, QKD module B) connected by Quantum links (QKD links). The Quantum layer is divided into three QKD nodes: Trusted node A, Trusted node W, and Trusted node B.
+
+The diagram also shows the following components and connections:
+
+- Network manager:** Connected to the QKDN control layer and the Key management layer.
+- QKDN manager:** Connected to the QKDN control layer and the Key management layer.
+- Key supply interruption:** Indicated by an 'X' mark at the connection points between the QKDN control layer and the Key management layer, and between the Key management layer and the Quantum layer.
+- QKD link interruption:** Indicated by a double line with a break between QKD modules.
+- KM link interruption:** Indicated by a double line with a break between Key Managers.
+
+Legend:
+
+- ←||→ QKD link interruption
+- ←||→ KM link interruption
+- ✕ Key supply interruption
+
+Y.3815(23)
+
+Figure 1: Illustration of key supply failures in a QKDN. The diagram shows four layers: Service layer, QKDN control layer, Key management layer, and Quantum layer. The Service layer contains two Cryptographic applications connected by an Application link, and a Network manager. The QKDN control layer contains three QKDN controllers. The Key management layer contains three Key Managers (KM\_A, KM\_W, KM\_B) connected by Key Management links (KM links). The Quantum layer contains three QKD modules (QKD module A, QKD module W, QKD module B) connected by Quantum links (QKD links). The Quantum layer is divided into three QKD nodes: Trusted node A, Trusted node W, and Trusted node B. The Network manager and QKDN manager are connected to the QKDN control layer and Key management layer. The diagram illustrates various failure points: QKD link interruption (indicated by a double line with a break), KM link interruption (indicated by a double line with a break), and Key supply interruption (indicated by an 'X' mark).
+
+**Figure 1 – Illustration of key supply failures in a QKDN**
+
+# 7 Protection of key supply in QKDN
+
+Protection of key supply in QKDN aims to provide additional QKD modules, QKD links or key relay routes for stability, such as the allocation of backup resources before a failure occurs. Functional enhancement can be supported in QKDNs. In this Recommendation, protection of QKD-key supply and KSA-key supply are described to support resilience. These protection methods can support the prevention of potential key supply interruptions. In addition, the following terms represent the status of QKD modules, QKD links and key relay routes in the QL and KML for protection.
+
+- Working (W) QKD module, QKD link or key relay route: a QKD module, QKD link or key relay route that normally works for key supply.
+- Protection (P) QKD module, QKD link or key relay route: an alternative QKD module, QKD link or key relay route that is pre-set for protection.
+- Protected QKD module, QKD link or key relay route: a working QKD module, QKD link or key relay route that is matched with one for protection. When a failure occurs on a protected QKD module, QKD link or key relay route, it would be replaced by the one for protection.
+
+### 7.1 Protection in quantum layer
+
+A conceptual model for protection of a QKD link in a QL is shown in Figure 2. The protection QKD link can be pre-set to support resilience. When a failure occurs in a working QKD link, the protection QKD link can be enabled for seamless QKD-key supply.
+
+
+
+Y.3815(23)
+
+Figure 2: A conceptual model of protection of QKD link for QKD-key supply in quantum layer. The diagram shows three layers: QKDN control layer, Key management layer, and Quantum layer. In the QKDN control layer, there are QKDN controllers for Trusted node A, Trusted node B, and a central QKDN manager. In the Key management layer, there are key managers KM\_A and KM\_B. In the Quantum layer, there are QKD modules A and B. A 'Working QKD link' connects QKD module A and QKD module B. A 'Protection QKD link' also connects QKD module A and QKD module B. Arrows indicate data flow and control signals between the layers and nodes. A reference 'Y.3815(23)' is noted at the bottom right.
+
+**Figure 2 – A conceptual model of protection of QKD link for QKD-key supply in quantum layer**
+
+A conceptual model for protection of QKD modules in a QL is shown in Figure 3. The protection QKD modules can also be pre-set in QKD nodes to support resilience. When a failure occurs on a working QKD module, the protection QKD module can be enabled for seamless QKD-key supply.
+
+
+
+Figure 3: A conceptual model of protection of QKD modules for QKD-key supply in quantum layer. The diagram shows three layers: QKDN control layer, Key management layer, and Quantum layer. In the QKDN control layer, there are three QKDN controllers. In the Key management layer, there are two key managers, KM\_A and KM\_B. In the Quantum layer, there are two QKD nodes (Trusted node A and Trusted node B). Each node contains two QKD modules: A-W and A-P for node A, and B-W and B-P for node B. A 'Working QKD link' connects the W modules (A-W to B-W). A 'QKDN manager' is connected to all layers. The diagram is labeled Y.3815(23).
+
+**Figure 3 – A conceptual model of protection of QKD modules for QKD-key supply in quantum layer**
+
+A conceptual model for higher-level protection of both QKD modules and a QKD link in a QL is shown in Figure 4. Protection QKD link and modules can both be pre-set to support resilience.
+
+NOTE 1 – Generally, a working QKD link is one between a pair of QKD modules for QKD-key supply. To support QKDN resilience, the QKDN controller can enable multiple QKD modules and links for simultaneous key supply.
+
+NOTE 2 – The protection QKD link can be enabled through optical switching or splitting functions with available QKD modules.
+
+NOTE 3 – The interruption of QKD can be caused by failures in QKD modules or QKD links, including an increase in quantum bit error rate or interruption in key generation. The occurrence of these failures can be monitored through control and management functions in a QL.
+
+
+
+Figure 4: A conceptual model of protection of both QKD modules and a QKD link for QKD-key supply in quantum layer. The diagram shows three layers: QKDN control layer, Key management layer, and Quantum layer. In the QKDN control layer, there are three QKDN controllers. In the Key management layer, there are two key managers, KM\_A and KM\_B. In the Quantum layer, there are two QKD nodes (Trusted node A and Trusted node B). Each node contains two QKD modules: A-W and A-P for node A, and B-W and B-P for node B. A 'Working QKD link' connects the W modules (A-W to B-W). A 'Protection QKD link' connects the P modules (A-P to B-P). A 'QKDN manager' is connected to all layers. The diagram is labeled Y.3815(23).
+
+**Figure 4 – A conceptual model of protection of both QKD modules and a QKD link for QKD-key supply in quantum layer**
+
+### 7.2 Protection in key management layer
+
+In a KML, a protection key relay route can be pre-set, which can be enabled to support seamless key supply for the interrupted working key relay route.
+
+A conceptual model for protection in a KML is shown in Figure 5. A key relay route A-D-B is pre-set for protection of key relay route A-C-B, while the key supply over QKD links A-D and D-B is normal for key relay route A-D-B. When the key relay route A-C-B is interrupted, it can switch to the key supply of key relay route A-D-B when A-D-B is available with enough keys.
+
+To support QKDN resilience with protection, relevant key-supply interruption and switching overheads should be taken into consideration.
+
+
+
+The diagram illustrates a four-layer architecture for QKDN protection in the key management layer (KML).
+- **Service layer:** Contains two 'Cryptographic application' blocks. A key icon is positioned between them.
+- **QKDN control layer:** Contains four 'QKDN controller' blocks, each associated with a specific QKD node.
+- **Key management layer:** Contains key management modules $KM_A$ , $KM_C$ , $KM_D$ , and $KM_B$ . Arrows labeled 'W' and 'P' show key supply paths between these modules.
+- **Quantum layer:** Contains QKD modules for various node pairs: QKD module A-C, QKD module A-D, QKD module C-C, QKD module D-D, QKD module B-C, and QKD module B-D. Arrows labeled 'W' indicate key supply paths.
+- **Management layers:** On the right, a 'User network management layer' (containing a 'Network manager') and a 'QKDN management layer' (containing a 'QKDN manager') are shown, both connected to the main architecture via bidirectional arrows.
+- **Nodes:** The bottom labels identify the QKD nodes: 'QKD node (Trusted node A)', 'QKD node (Trusted node C(W))', 'QKD node (Trusted node D(P))', and 'QKD node (Trusted node B)'.
+
+Figure 5: A conceptual model of protection in key management layer. The diagram shows four layers: Service layer, QKDN control layer, Key management layer, and Quantum layer. The Service layer contains two Cryptographic applications. The QKDN control layer contains four QKDN controllers. The Key management layer contains key management modules KM\_A, KM\_C, KM\_D, and KM\_B. The Quantum layer contains QKD modules for various node pairs: A-C, A-D, C-C, D-D, B-C, and B-D. Arrows indicate key supply paths and control signals. A key icon is shown in the Service layer. The diagram is labeled Y.3815(23) at the bottom right.
+
+**Figure 5 – A conceptual model of protection in key management layer**
+
+# 8 Recovery of key supply in QKDN
+
+Recovery of key supply in QKDN aims to recover the interrupted key supply through control and management functions. Functional enhancement can be supported in a QKDN control layer and management layer. Specifically, a QKDN provides the function of re-routing for recovery as shown in Figure 6. The mechanism of re-routing for a key relay route is similar to the case of protection in a KML as shown in Figure 5. The difference is that the key relay route for protection is pre-set, while the key relay route for recovery can be automatically calculated.
+
+- Key relay route for recovery (R): a new key relay route allocated by control and management functions to support key supply when impairment occurs to the working key relay route.
+
+
+
+Figure 6: A conceptual model of re-routing for QKDN resilience. The diagram shows a multi-layered architecture with four main layers: Service layer, QKDN control layer, Key management layer, and Quantum layer. The Service layer contains two 'Cryptographic application' blocks. The QKDN control layer contains four 'QKDN controller' blocks, some solid and some dashed. The Key management layer contains key management blocks KM\_A, KM\_C, and KM\_B, with curved arrows indicating key relay paths (W and R). The Quantum layer contains various QKD modules (A-C, A-D, B-C, B-D, and module D) connected to four QKD nodes: (Trusted node A), (Trusted node C(W)), (Trusted node D(R)), and (Trusted node B). On the right, a 'User network management layer' contains a 'Network manager' block, and a 'QKDN management layer' contains a 'QKDN manager' block. Bidirectional arrows connect the QKDN control layer, Key management layer, and Quantum layer to the QKDN manager. A key icon is shown near the cryptographic applications. The reference 'Y.3815(23)' is at the bottom right.
+
+**Figure 6 – A conceptual model of re-routing for QKDN resilience**
+
+When a key-supply failure occurs in a QKDN, recovery tries to support key supply through control and management functions. In a KML, it can replace the impaired key relay route by another that is available. As a result, the interrupted key supply to a cryptographic application can be recovered. Based on the scale of key-supply failure(s), the overheads for recovery can differ.
+
+To support QKDN resilience with recovery, the overhead including time delay with re-routing should be taken into consideration.
+
+## Bibliography
+
+- [b-ETSI GR QKD 007] Group Report ETSI GR QKD 007 V1.1.1 (2018), *Quantum key distribution (QKD); Vocabulary*.
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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@@ -0,0 +1,419 @@
+
+
+# Recommendation
+
+## **ITU-T Y.3817 (09/2024)**
+
+SERIES Y: Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+Quantum key distribution networks
+
+---
+
+# **Quantum key distribution network interworking – Requirements for quality of service assurance**
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+## Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+| | |
+|--------------------------------------------------------------------|----------------------|
+| GLOBAL INFORMATION INFRASTRUCTURE | Y.100-Y.999 |
+| General | Y.100-Y.199 |
+| Services, applications and middleware | Y.200-Y.299 |
+| Network aspects | Y.300-Y.399 |
+| Interfaces and protocols | Y.400-Y.499 |
+| Numbering, addressing and naming | Y.500-Y.599 |
+| Operation, administration and maintenance | Y.600-Y.699 |
+| Security | Y.700-Y.799 |
+| Performances | Y.800-Y.899 |
+| INTERNET PROTOCOL ASPECTS | Y.1000-Y.1999 |
+| General | Y.1000-Y.1099 |
+| Services and applications | Y.1100-Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200-Y.1299 |
+| Transport | Y.1300-Y.1399 |
+| Interworking | Y.1400-Y.1499 |
+| Quality of service and network performance | Y.1500-Y.1599 |
+| Signalling | Y.1600-Y.1699 |
+| Operation, administration and maintenance | Y.1700-Y.1799 |
+| Charging | Y.1800-Y.1899 |
+| IPTV over NGN | Y.1900-Y.1999 |
+| NEXT GENERATION NETWORKS | Y.2000-Y.2999 |
+| Frameworks and functional architecture models | Y.2000-Y.2099 |
+| Quality of Service and performance | Y.2100-Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200-Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250-Y.2299 |
+| Enhancements to NGN | Y.2300-Y.2399 |
+| Network management | Y.2400-Y.2499 |
+| Computing power networks | Y.2500-Y.2599 |
+| Packet-based Networks | Y.2600-Y.2699 |
+| Security | Y.2700-Y.2799 |
+| Generalized mobility | Y.2800-Y.2899 |
+| Carrier grade open environment | Y.2900-Y.2999 |
+| FUTURE NETWORKS | Y.3000-Y.3499 |
+| CLOUD COMPUTING | Y.3500-Y.3599 |
+| BIG DATA | Y.3600-Y.3799 |
+| QUANTUM KEY DISTRIBUTION NETWORKS | Y.3800-Y.3999 |
+| INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES | Y.4000-Y.4999 |
+| General | Y.4000-Y.4049 |
+| Definitions and terminologies | Y.4050-Y.4099 |
+| Requirements and use cases | Y.4100-Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250-Y.4399 |
+| Frameworks, architectures and protocols | Y.4400-Y.4549 |
+| Services, applications, computation and data processing | Y.4550-Y.4699 |
+| Management, control and performance | Y.4700-Y.4799 |
+| Identification and security | Y.4800-Y.4899 |
+| Evaluation and assessment | Y.4900-Y.4999 |
+
+For further details, please refer to the list of ITU-T Recommendations.
+
+# Recommendation ITU-T Y.3817
+
+# Quantum key distribution network interworking – Requirements for quality of service assurance
+
+## Summary
+
+Recommendation ITU-T Y.3817 specifies high-level and functional requirements for quality of service (QoS) assurance for quantum key distribution network interworking. The functional requirements include QoS information transfer, QoS negotiation, QoS management and QoS routing.
+
+## History \*
+
+| Edition | Recommendation | Approval | Study Group | Unique ID |
+|---------|----------------|------------|-------------|--------------------|
+| 1.0 | ITU-T Y.3817 | 2023-09-29 | 13 | 11.1002/1000/15645 |
+| 2.0 | ITU-T Y.3817 | 2024-09-13 | 13 | 11.1002/1000/16138 |
+
+## Keywords
+
+QKDN, QKDN interworking, QoS assurance, requirements.
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID.
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, and information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents/software copyrights, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the appropriate ITU-T databases available via the ITU-T website at .
+
+© ITU 2025
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | Page |
+|------------------------------------------------------------------------|------|
+| 1 Scope ..... | 1 |
+| 2 References..... | 1 |
+| 3 Definitions ..... | 1 |
+| 3.1 Terms defined elsewhere..... | 1 |
+| 3.2 Terms defined in this Recommendation..... | 2 |
+| 4 Abbreviations and acronyms ..... | 2 |
+| 5 Conventions ..... | 3 |
+| 6 Introduction to QoS assurance for QKDN interworking..... | 3 |
+| 6.1 QoS assurance at Ak..... | 4 |
+| 6.2 QoS assurance at Kq..... | 5 |
+| 6.3 QoS assurance at Kxi'..... | 5 |
+| 6.4 QoS assurance at Ax..... | 6 |
+| 7 High-level requirements of QoS assurance for QKDN interworking ..... | 6 |
+| 8 Functional requirements of QoS assurance for QKDN interworking ..... | 7 |
+| 8.1 QoS information transfer..... | 7 |
+| 8.2 QoS negotiation..... | 8 |
+| 8.3 QoS management..... | 8 |
+| 8.4 QoS routing ..... | 8 |
+| 9 Security considerations..... | 8 |
+| Bibliography..... | 9 |
+
+
+
+# Recommendation ITU-T Y.3817
+
+# Quantum key distribution network interworking – Requirements for quality of service assurance
+
+## 1 Scope
+
+This Recommendation specifies high-level and functional requirements for quality of service (QoS) assurance for quantum key distribution network (QKDN) interworking. This Recommendation includes the following:
+
+- An introduction to QoS assurance for QKDN interworking (QKDNi);
+- High-level requirements for QoS assurance for QKDNi;
+- Functional requirements for QoS assurance for QKDNi.
+
+## 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+- [ITU-T X.1710] Recommendation ITU-T Y.1710 (2020), *Security framework for quantum key distribution networks*.
+- [ITU-T Y.2701] Recommendation ITU-T Y.2701 (2007), *Security requirements for NGN release 1*.
+- [ITU-T Y.3101] Recommendation ITU-T Y.3101 (2018), *Requirements of the IMT-2020 network*.
+- [ITU-T Y.3801] Recommendation ITU-T Y.3801 (2020), *Functional requirements for quantum key distribution networks*.
+- [ITU-T Y.3802] Recommendation ITU-T Y.3802 (2020), *Quantum key distribution networks – Functional architecture*.
+- [ITU-T Y.3806] Recommendation ITU-T Y.3806 (2021), *Quantum key distribution networks – Requirements for quality of service assurance*.
+- [ITU-T Y.3810] Recommendation ITU-T Y.3810 (2024), *Quantum key distribution network interworking – Framework*.
+- [ITU-T Y.3811] Recommendation ITU-T Y.3811 (2022), *Quantum key distribution networks – Functional architecture for quality of service assurance*.
+
+## 3 Definitions
+
+### 3.1 Terms defined elsewhere
+
+This Recommendation uses the following terms defined elsewhere:
+
+**3.1.1 gateway node (GWN)** [ITU-T Y.3810]: A trusted node which is placed on both sides of the network boundary and includes key manager (KM) and quantum key distribution module (QKD module) for the quantum key distribution network interworking (QKDNi).
+
+**3.1.2 interworking node (IWN)** [ITU-T Y.3810]: A trusted node which is placed at the network boundary and includes key managers (KMs) for the quantum key distribution network interworking (QKDNi).
+
+**3.1.3 key manager (KM)** [b-ITU-T Y.3800]: A functional module located in a quantum key distribution (QKD) node to perform key management in the key management layer.
+
+**3.1.4 key relay** [b-ITU-T Y.3800]: A method to share keys between arbitrary quantum key distribution (QKD) nodes via intermediate QKD node(s).
+
+**3.1.5 quantum key distribution (QKD)** [b-ETSI GR QKD 007]: Procedure or method for generating and distributing symmetrical cryptographic keys with information theoretical security based on quantum information theory.
+
+**3.1.6 quantum key distribution network (QKDN)** [b-ITU-T Y.3800]: A network comprised of two or more quantum key distribution (QKD) nodes connected through QKD links.
+
+NOTE – A QKDN allows sharing keys between the QKD nodes by key relay when they are not directly connected by a QKD link.
+
+**3.1.7 quality of service (QoS)** [b-ITU-T P.10]: The totality of characteristics of a telecommunications service that bear on its ability to satisfy stated and implied needs of the user of the service (see [b-ITU-T E.800]).
+
+**3.1.8 trusted node (TN)** [ITU-T X.1713]: A node that is protected against intrusion and attacks by unauthorized parties, and acts as a boundary protecting all embedded elements against attackers outside the node.
+
+NOTE 1 – A trusted node can contain one or more quantum key distribution (QKD) modules, key managers (KMs), quantum key distribution network (QKDN) managers, QKDN controllers, applications and other possible entities.
+
+NOTE 2 – In [ITU-T X.1710], the description of trusted node (TN) is given as: "To ensure information security of a QKD node, especially to protect the security of keys, the QKD node must be protected against intrusion and attacks by unauthorized parties. A QKD node with such a protection is called a trusted node. A trusted node acts as a boundary protecting all embedded elements against attackers outside the node."
+
+### **3.2 Terms defined in this Recommendation**
+
+None.
+
+## **4 Abbreviations and acronyms**
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|-------|-----------------------------------------------|
+| GWN | Gateway Node |
+| ID | Identifier |
+| IP | Internet Protocol |
+| IWN | Interworking Node |
+| KM | Key Manager |
+| KMA | Key Management Agent |
+| KML | Key Management Layer |
+| QKD | Quantum Key Distribution |
+| QKDN | Quantum Key Distribution Network |
+| QKDNi | Quantum Key Distribution Network interworking |
+| QL | Quantum Layer |
+
+## 5 Conventions
+
+In this Recommendation:
+
+The phrase "is required" indicates a requirement that must be strictly followed and from which no deviation is permitted if conformance to this Recommendation is to be claimed.
+
+The phrase "is recommended" indicates a requirement that is recommended but which is not absolutely required. Thus, this requirement need not be present to claim conformance.
+
+## 6 Introduction to QoS assurance for QKDN interworking
+
+QKDNs are expected to provide optimized support for a variety of different quantum key distribution (QKD) services. From the viewpoint of a cryptographic application in the service layer, quantum key distribution network (QKDN) services involve the distribution of both quantum keys and relevant information. In order to provide the same level of QKDN services that the application requires, end-to-end quality of service (QoS) assurance and interoperability between transmitting and receiving QKD nodes (including QKD module and QKD link) are provided.
+
+Security level and key supply service policies can differ between transmitting and receiving QKD nodes in different QKDNs, especially in terms of QoS assurance. In addition, QoS information of QKD nodes, such as key lifetime, QKD link status and alarm on fault, may be exchanged in order to support QoS assurance. The exchange is carried out in information hiding manner.
+
+[ITU-T Y.3806] specifies high-level and functional requirements for QoS assurance for QKDNs. The requirements of [ITU-T Y.3806] are described in terms of a single, not multiple, QKDN domain. In general, a QKDN is allowed to comprise the QKDN components provided by different vendors, providers and capabilities. This means that QKDN components probably support different QoS and, thus, QoS negotiation is necessary. In addition, QKDN components are related to multiple layers, e.g., application layer, key management layer (KML) and quantum layer (QL). The expressions of QoS information may differ for QKDN components at different layers. In this context, QoS information is translated between different layers and between the same layer in different domains.
+
+For end-to-end QoS assurance of QKDNi, it is essential to know how to provide QoS translation and negotiation. Figure 1 illustrates where QoS translation or negotiation are necessary for QKDNi, indicated by the arrows with circled numbers. End-to-end QoS ranges over multiple QKDNs.
+
+From the cryptographic applications perspective, two reference points are identified. Ak is a reference point connecting a cryptographic application and a key supply function in a KML. QoS information about the key is exchanged between two layers and may be expressed differently according to their characteristics. Translation and negotiation of QoS information is necessary, which is indicated by the arrow labelled 1.
+
+Ax is a reference point connecting two cryptographic applications in a user network. Ax enables two cryptographic applications to exchange their QoS information. Negotiation of QoS information is necessary, which is indicated by the arrow labelled 4.
+
+Kxi is a reference point connecting two key managers (KMs) in each QKD node such as a gateway node (GWN). Kxi' is a reference point connecting two KMs within a QKD node such as an interworking node (IWN). These reference points are specified in [ITU-T Y.3810]. Kxi and Kxi' enable exchange of QoS information and operations for key relay, key synchronization and authentication. QoS information is used to select either a GWN or a KM in an IWN, as indicated by the arrow labelled 3. Figure 1 can be applied to illustrate QoS assurance for QKDNi with a GWN, if an IWN is replaced by a GWN. From the QoS perspective, an IWN and GWN are considered as the same in terms of interworking mechanism.
+
+On the other hand, $K_q$ is a reference point that connects a key storage function in a KML with a QKD-key supply function in a QKD module. QoS translation and negotiation may occur between the KML and QL, which is indicated by the arrow labelled 2.
+
+
+
+The diagram illustrates the QoS assurance for QKDN interworking with IWN. It shows two QKDN providers, QKDN-A and QKDN-B, separated by a Network boundary (IWN). Each provider contains a QKDN controller, a Key Management (KM) module (KSA and KMA), and a QKD module. Cryptographic applications are connected to the QKDNs via reference points $A_k$ . The diagram shows the flow of keys ( $K_x$ , $K_{xi'}$ ) and the negotiation of QoS (arrow 2) between the KML and QKD modules. The reference point $A_x$ is also shown at the top.
+
+Figure 1: Portion of the QoS assurance for QKDN interworking with IWN. The diagram shows two QKDN providers (A and B) connected via a Network boundary (IWN). Each provider contains a QKDN controller, a Key Management (KM) module (KSA and KMA), and a QKD module. Cryptographic applications are connected to the QKDNs via reference points Ak. The diagram illustrates the flow of keys (Kx, Kxi') and the negotiation of QoS (arrow 2) between the KML and QKD modules.
+
+**Figure 1 – Portion of the QoS assurance for QKDN interworking with IWN**
+
+### 6.1 QoS assurance at $A_k$
+
+$A_k$ is a reference point connecting a cryptographic application and a key supply function in a KML. The KML responds to the cryptographic application with a key response message containing key(s) and key identifier(s) (ID(s)) when receiving a key request message from the cryptographic application.
+
+Examples of two types of cryptographic application are banking and cloud computing. They may have a different level of QoS according to the security policy of their respective business. As a result, they can request a desirable number of keys to support multiple QoS levels. In addition, the cryptographic application can obtain multiple keys either simultaneously by transmitting a single key request message or at different times by transmitting multiple key request messages.
+
+From the cryptographic application perspective, the amount of data to encrypt, the number of keys and the replacement cycles of keys, for example, are related to key length, key availability and key generation rate in the KML, respectively. The KML can choose as many best key(s) as possible per cryptographic application. QoS mapping between the cryptographic application and the KML may be necessary.
+
+There are two types of QoS expression, implicit and explicit.
+
+The implicit type utilizes the application name when requesting a key. QoS information in the KML can be identified if an application name is notified. Pre-agreement is required for application name notification.
+
+The explicit type expresses QoS information in the key request message. QoS information may include a key length, key availability and key generation rate. QoS mapping between the cryptographic application and KML may be unnecessary in this case.
+
+From the QoS assurance perspective, the KML can determine as many best key(s) as possible depending on which type of QoS expression is used.
+
+### **6.2 QoS assurance at Kq**
+
+Kq is a reference point connecting a key storage function in a KML with a QKD-key supply function in a QKD module. In the quantum layer (QL), a pair of QKD modules generates a pair of symmetric (identical) random bit strings using an information technology-secure protocol based on QKD. The pair of QKD modules is typically provided from the same vendor in a QKDN. Some pairs of QKD modules from different vendors can also be deployed in a QKDN.
+
+The KML receives QKD-key(s) from one or more QKD modules located within the same QKD node and securely stores them. The lengths of the acquired QKD-keys may differ. The key management agent (KMA) re-formats (by combining or splitting) QKD-keys of different lengths into keys of a prescribed unit length.
+
+Furthermore, the KML is necessary to support operations with multiple QKD modules produced by different vendors. QKD modules may provide different QKD-key lengths depending on their characteristics.
+
+From a QoS assurance perspective, the KML is able to support QoS transformation, e.g., change in key length from the QL to KML. The operation of QoS mapping is also performed in terms of cryptographic applications. For example, keys in the KML can have a variety of key lengths with respect to a number of cryptographic applications.
+
+### **6.3 QoS assurance at Kxi'**
+
+In general, a pair of QKD modules (transmitter and receiver) works using a single technology (such as a QKD protocol, hardware restrictions or strict security requirements). For example, two QKD modules of type 1 at QKD node A and QKD node B are connected by a QKD link type 1. In contrast, two QKD modules of type 3 at QKD node B and QKD node C are connected by a QKD link type 3. When the KMs at QKD node A, QKD node B and QKD node C perform identical operations, such as the same key relay encryption methods, no additional processing is required among them, and they can be considered as a single KMs. Furthermore, QKD module type 1 and QKD module type 3 at QKD node B can support the same capability, such as QoS, and no further modification is necessary.
+
+The QKD link type 1 and the QKD link type 3 have different characteristics for transporting quantum bits if QKD module type 1 and QKD module type 3 support different QoS. This situation allows the QKD node B to perform QKDNi, especially on the QoS aspect. In that sense, KM interworking for QKD module type 1 and QKD module type 3 occurs in QKD node B.
+
+Even if it is not used in the case depicted in Figure 2, the QKDN controller performs QKDNi as described in clause 8.2 of [ITU-T Y.3810].
+
+From the perspective of the QKDN provider's interworking, QKD node B is designed to function as an Interworking Node (IWN).
+
+
+
+Y.3817(23)
+
+Figure 2: QKDN interworking in the QKD modules with different QoS characteristics. The diagram shows three QKD nodes: A, B (IWN), and C. Node A contains a KM and a QKD module type 1. Node B contains two KMs and two QKD modules (type 1 and type 3). Node C contains a KM and a QKD module type 3. Connections include classical links Kx between KMs and QKD links (QKD link #1, QKD link #3) between QKD modules. Vertical ellipses indicate additional modules within each node.
+
+**Figure 2 – QKDN interworking in the QKD modules with different QoS characteristics**
+
+### 6.4 QoS assurance at Ax
+
+This clause provides a brief description of Ax, which is a reference point connecting two cryptographic applications in a user network. The applications may exchange QoS information either when delivering a key ID or when operating independently. Applications can directly learn key characteristics. Examples of QoS information include key lifetime and key generation rate. It is useful for applications to anticipate the key's usage pattern, unless it is pre-configured.
+
+From a QoS assurance perspective, the cryptographic application can understand and anticipate the effective key's duration and when a new key is needed, provided that QoS information is available.
+
+## 7 High-level requirements of QoS assurance for QKDN interworking
+
+The QKDN layered functional architecture and its associated functional components are specified according to [ITU-T Y.3806] and [ITU-T Y.3811]. Basically, the high-level requirements for QoS assurance in [ITU-T Y.3806] should also be applied to QKDNi. Several high-level requirements of [ITU-T Y.3806] are mentioned here to emphasize their importance.
+
+This Recommendation aims to extend functional components to support end-to-end QoS assurance and interoperability in an interworking QKD node (e.g., an IWN).
+
+It is assumed that a QKD node (e.g., an IWN) includes several QKD modules that may have different capabilities such as QoS. Each QKD module is associated with a corresponding KM.
+
+A QKDN topology with two relay QKDNs is illustrated in Figure 3. Cryptographic applications in a user network are connected to QKDN A and QKDN D. A quantum key is relayed between QKDN A and QKDN D through QKDN B or QKDN C.
+
+QKDN A is to choose an appropriate path (or route), e.g., toward QKDN B or toward QKDN C, to relay the key to the application connecting to QKDN D. If the availability of QKDN B is low but QKDN C has high availability, then QKDN A will tend to choose the path toward QKDN C for a successful completion of the relay.
+
+
+
+Figure 3: QKDN topology with two relay QKDNs. The diagram shows four QKDNs (A, B, C, D) arranged in a diamond topology. QKDN A and D are at the top, connected to an 'App' box. QKDN B and C are in the middle, connected to each other and to A and D. Each QKDN contains three nodes (represented by cylinders with red 'X' marks) connected in a triangle. A dashed line separates the 'App' boxes from the QKDNs. The reference Y.3817(23) is noted at the bottom right.
+
+**Figure 3 – QKDN topology with two relay QKDNs**
+
+Consideration of QoS is required across QKDNs that interwork to serve a cryptographic application, as well as within individual QKDNs.
+
+A QKDN is required to support a QoS model and its associated QoS profile in terms of QKDNi.
+
+NOTE 1 – A QoS model and QoS profile are described in [ITU-T Y.3806].
+
+A QKDN is required to support QoS negotiation in terms of QKDNi.
+
+A QKDN is required for a KM to provide an appropriate key to cryptographic applications according to the QoS information in terms of QKDNi.
+
+A QKDN is required to support transformation of QoS information in interworking QKD nodes.
+
+A QKDN is required to support end-to-end QoS assurance in interworking QKD nodes.
+
+A KM is required to exchange the QoS information in interworking QKD nodes.
+
+NOTE 2 – A KM resides in an interworking QKD node (e.g., an IWN).
+
+A KM is required to expose QoS information to other functions (e.g., QKDN controller) in interworking QKD nodes.
+
+A KM may optionally expose QoS information to a cryptographic application.
+
+The QKDN controller is required to select a KM based on QoS requirements from the cryptographic application.
+
+## **8 Functional requirements of QoS assurance for QKDN interworking**
+
+Functional requirements of QoS assurance for QKDNi are extensions of those for a single QKDN. Therefore, [ITU-T Y.3806] is also applied to QKDNi. The requirements in clauses 8.1 to 8.4 are specific to QoS assurance for QKDNi.
+
+NOTE – A KM resides in an interworking QKD node (e.g., an IWN).
+
+### **8.1 QoS information transfer**
+
+A KM submitting key relay requests to a KM in another QKDN through QKDNi is recommended to include QoS information in these requests, including acceptable ranges for QoS values.
+
+### **8.2 QoS negotiation**
+
+The receiving KM is required to reject key relay requests from the transmitting KM if QoS information is not acceptable.
+
+The receiving KM is recommended to send its QoS information to the transmitting KM if the key relay request is rejected.
+
+NOTE – A part of QoS information is exchanged.
+
+### **8.3 QoS management**
+
+A KM is required to be aware of a part of QoS information of corresponding KMs.
+
+A transmitting KM is recommended to select a receiving KM with the assistance of a QKDN controller, in an interworking QKD node (e.g., an IWN).
+
+### **8.4 QoS routing**
+
+A QKDN controller is required to consider QoS requirements from cryptographic applications along with policies of the QKDN in which it resides and ensure that policies agree between interworking QKDNs when deciding QKDNi routes.
+
+NOTE – QoS requirement relates to values of key consumption rate and key availability of QKD nodes.
+
+## **9 Security considerations**
+
+This Recommendation describes high-level and functional requirements of QoS assurance for QKDN interworking. Therefore, security requirements described in [ITU T X.1710], [ITU-T Y.3801] and [ITU-T Y.3802], as well as general network security requirements and mechanisms in IP-based networks described in [ITU-T Y.2701] and [ITU T Y.3101] should be applied. Details are beyond the scope of this Recommendation.
+
+## Bibliography
+
+- [b-ITU-T E.800] Recommendation ITU-T E.800 (2008), *Definitions of terms related to quality of service.*
+- [b-ITU-T P.10] Recommendation ITU-T P.10/G.100 (2017), *Vocabulary for performance, quality of service and quality of experience.*
+- [b-ITU-T X.1713] Recommendation ITU-T X.1713 (2024), *Security requirements for the protection of quantum key distribution nodes*
+- [b-ITU-T Y.3800] Recommendation ITU-T Y.3800 (2019), *Overview on networks supporting quantum key distribution.*
+- [b-ETSI GR QKD 007] Group Report ETSI GR QKD 007 V1.1.1 (2018), *Quantum key distribution (QKD); Vocabulary.*
+
+
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+# Recommendation
+
+## **ITU-T Y.3818 (09/2024)**
+
+SERIES Y: Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+Quantum key distribution networks
+
+---
+
+## **Quantum key distribution network interworking – Architecture**
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+# Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+| | |
+|--------------------------------------------------------------------|----------------------|
+| GLOBAL INFORMATION INFRASTRUCTURE | Y.100-Y.999 |
+| General | Y.100-Y.199 |
+| Services, applications and middleware | Y.200-Y.299 |
+| Network aspects | Y.300-Y.399 |
+| Interfaces and protocols | Y.400-Y.499 |
+| Numbering, addressing and naming | Y.500-Y.599 |
+| Operation, administration and maintenance | Y.600-Y.699 |
+| Security | Y.700-Y.799 |
+| Performances | Y.800-Y.899 |
+| INTERNET PROTOCOL ASPECTS | Y.1000-Y.1999 |
+| General | Y.1000-Y.1099 |
+| Services and applications | Y.1100-Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200-Y.1299 |
+| Transport | Y.1300-Y.1399 |
+| Interworking | Y.1400-Y.1499 |
+| Quality of service and network performance | Y.1500-Y.1599 |
+| Signalling | Y.1600-Y.1699 |
+| Operation, administration and maintenance | Y.1700-Y.1799 |
+| Charging | Y.1800-Y.1899 |
+| IPTV over NGN | Y.1900-Y.1999 |
+| NEXT GENERATION NETWORKS | Y.2000-Y.2999 |
+| Frameworks and functional architecture models | Y.2000-Y.2099 |
+| Quality of Service and performance | Y.2100-Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200-Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250-Y.2299 |
+| Enhancements to NGN | Y.2300-Y.2399 |
+| Network management | Y.2400-Y.2499 |
+| Computing power networks | Y.2500-Y.2599 |
+| Packet-based Networks | Y.2600-Y.2699 |
+| Security | Y.2700-Y.2799 |
+| Generalized mobility | Y.2800-Y.2899 |
+| Carrier grade open environment | Y.2900-Y.2999 |
+| FUTURE NETWORKS | Y.3000-Y.3499 |
+| CLOUD COMPUTING | Y.3500-Y.3599 |
+| BIG DATA | Y.3600-Y.3799 |
+| QUANTUM KEY DISTRIBUTION NETWORKS | Y.3800-Y.3999 |
+| INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES | Y.4000-Y.4999 |
+| General | Y.4000-Y.4049 |
+| Definitions and terminologies | Y.4050-Y.4099 |
+| Requirements and use cases | Y.4100-Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250-Y.4399 |
+| Frameworks, architectures and protocols | Y.4400-Y.4549 |
+| Services, applications, computation and data processing | Y.4550-Y.4699 |
+| Management, control and performance | Y.4700-Y.4799 |
+| Identification and security | Y.4800-Y.4899 |
+| Evaluation and assessment | Y.4900-Y.4999 |
+
+For further details, please refer to the list of ITU-T Recommendations.
+
+# Recommendation ITU-T Y.3818
+
+# Quantum key distribution network interworking – Architecture
+
+## Summary
+
+Recommendation ITU-T Y.3818 specifies functional architecture models for quantum key distribution network interworking (QKDNi), i.e., functional architectures with gateway and interworking nodes. In order to realize these two models, Recommendation ITU-T Y.3818 specifies detailed functional elements, basic operational procedures and architectural configurations for QKDNi.
+
+## History \*
+
+| Edition | Recommendation | Approval | Study Group | Unique ID |
+|---------|----------------|------------|-------------|--------------------|
+| 1.0 | ITU-T Y.3818 | 2023-09-29 | 13 | 11.1002/1000/15646 |
+| 2.0 | ITU-T Y.3818 | 2024-09-13 | 13 | 11.1002/1000/16139 |
+
+## Keywords
+
+Interworking, QKD, QKDN (QKD network).
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID.
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, and information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents/software copyrights, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the appropriate ITU-T databases available via the ITU-T website at .
+
+© ITU 2024
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | Page |
+|------------------------------------------------------|-------------|
+| 1 Scope ..... | 1 |
+| 2 References..... | 1 |
+| 3 Definitions ..... | 1 |
+| 3.1 Terms defined elsewhere..... | 1 |
+| 3.2 Terms defined in this Recommendation..... | 2 |
+| 4 Abbreviations and acronyms ..... | 3 |
+| 5 Conventions ..... | 3 |
+| 6 Functional architecture for QKDNI ..... | 3 |
+| 6.1 Functional architecture for QKDNI with GWNs..... | 3 |
+| 6.2 Functional architecture for QKDNI with IWN..... | 5 |
+| 7 Functional elements for QKDNI..... | 7 |
+| 7.1 Functional elements in GWNs..... | 7 |
+| 7.2 Functional elements in IWN..... | 8 |
+| 8 Interworking architectural configurations ..... | 8 |
+| 8.1 Configurations of QKDNI with GWNs..... | 8 |
+| 8.2 Configurations of QKDNI with IWN ..... | 10 |
+| 9 Basic operational procedures for QKDNI..... | 13 |
+| 9.1 Operational procedures for QKDNI with GWNs ..... | 13 |
+| 9.2 Operational procedures for QKDNI with IWN ..... | 16 |
+| 10 Security considerations..... | 18 |
+| Bibliography..... | 19 |
+
+
+
+# Recommendation ITU-T Y.3818
+
+# Quantum key distribution network interworking – Architecture
+
+# 1 Scope
+
+This Recommendation specifies functional architectures for quantum key distribution network interworking (QKDNi). In particular, this Recommendation includes the following:
+
+- A functional architecture model for QKDNi;
+- Functional elements for QKDNi;
+- Interworking architectural configurations;
+- Basic operational procedures for QKDNi.
+
+# 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+- [ITU-T Y.3800] Recommendation ITU-T Y.3800 (2019), *Overview on networks supporting quantum key distribution*.
+- [ITU-T Y.3802] Recommendation ITU-T Y.3802 (2020), *Quantum key distribution networks – Functional architecture*.
+- [ITU-T Y.3810] Recommendation ITU-T Y.3810 (2024), *Quantum key distribution network interworking – Framework*.
+- [ITU-T Y.3813] Recommendation ITU-T Y.3813 (2024), *Quantum key distribution network interworking – Functional requirements*.
+
+# 3 Definitions
+
+## 3.1 Terms defined elsewhere
+
+This Recommendation uses the following terms defined elsewhere:
+
+**3.1.1 gateway node (GWN)** [ITU-T Y.3810]: A trusted node which is placed on both sides of the network boundary and includes key manager (KM) and quantum key distribution module (QKD module) for the quantum key distribution network interworking (QKDNi).
+
+**3.1.2 interworking function (IWF)** [ITU-T Y.3810]: A function which is located at the interworking node (IWN) to support interworking interfaces.
+
+**3.1.3 interworking node (IWN)** [ITU-T Y.3810]: A trusted node which is placed at the network boundary and includes key managers (KMs) for the quantum key distribution network interworking (QKDNi).
+
+**3.1.4 key manager (KM)** [ITU-T Y.3800]: A functional module located in a quantum key distribution (QKD) node to perform key management in the key management layer.
+
+**3.1.5 key relay** [ITU-T Y.3800]: A method to share keys between arbitrary quantum key distribution (QKD) nodes via intermediate QKD node(s).
+
+**3.1.6 key transfer** [ITU-T Y.3810]: A method to share keys between key managers (KMs) in an interworking node (IWN)
+
+NOTE – Since keys are shared in the secure environment of an IWN, encryption may not be required.
+
+**3.1.7 quantum key distribution (QKD)** [b-ETSI GR QKD 007]: Procedure or method for generating and distributing symmetrical cryptographic keys with information theoretical security based on quantum information theory.
+
+**3.1.8 quantum key distribution link** [ITU-T Y.3800]: A communication link between two quantum key distribution (QKD) modules to operate the QKD.
+
+NOTE – A QKD link consists of a quantum channel for the transmission of quantum signals, and a classical channel used to exchange information for synchronization and key distillation.
+
+**3.1.9 quantum key distribution module** [ITU-T Y.3800]: A set of hardware and software components that implements cryptographic functions and quantum optical processes, including quantum key distribution (QKD) protocols, synchronization, distillation for key generation, and is contained within a defined cryptographic boundary.
+
+NOTE – A QKD module is connected to a QKD link, acting as an endpoint module in which a key is generated. These are two types of QKD modules, namely, the transmitters (QKD-Tx) and the receivers (QKD-Rx).
+
+**3.1.10 quantum key distribution network (QKDN)** [ITU-T Y.3800]: A network comprised of two or more quantum key distribution (QKD) nodes connected through QKD links.
+
+NOTE – A QKDN allows sharing keys between the QKD nodes by key relay when they are not directly connected by a QKD link.
+
+**3.1.11 quantum key distribution network controller** [ITU-T Y.3800]: A functional module, which is located in a quantum key distribution (QKD) network control layer to control a QKD network.
+
+**3.1.12 quantum key distribution network manager** [ITU-T Y.3800]: A functional module, which is located in a quantum key distribution (QKD) network management layer to monitor and manage a QKD network.
+
+**3.1.13 quantum key distribution node** [ITU-T Y.3800]: A node that contains one or more quantum key distribution (QKD) modules protected against intrusion and attacks by unauthorized parties.
+
+NOTE – A QKD node can contain a key manager (KM).
+
+**3.1.14 trusted node (TN)** [b-ITU-T X.1713]: A node that is protected against intrusion and attacks by unauthorized parties, and acts as a boundary protecting all embedded elements against attackers outside the node.
+
+NOTE 1 – A trusted node can contain one or more quantum key distribution (QKD) modules, key managers (KMs), quantum key distribution network (QKDN) managers, QKDN controllers, applications and other possible entities.
+
+NOTE 2 – In [b-ITU-T X.1710], the description of trusted node (TN) is given as: "To ensure information security of a QKD node, especially to protect the security of keys, the QKD node must be protected against intrusion and attacks by unauthorized parties. A QKD node with such a protection is called a trusted node. A trusted node acts as a boundary protecting all embedded elements against attackers outside the node."
+
+## **3.2 Terms defined in this Recommendation**
+
+None.
+
+# 4 Abbreviations and acronyms
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|-------|------------------------------------------------------------|
+| FCAPS | Fault, Configuration, Accounting, Performance and Security |
+| GWN | Gateway Node |
+| IWF | Interworking Function |
+| IWN | Interworking Node |
+| KM | Key Manager |
+| KMA | Key Management Agent |
+| KML | Key Management Layer |
+| KMLM | Key Manager Layer Management |
+| KSA | Key Supply Agent |
+| QCLM | QKDN Control Layer Management |
+| QKD | Quantum Key Distribution |
+| QKDN | Quantum Key Distribution Network |
+| QKDNI | Quantum Key Distribution Network Interworking |
+| QL | Quantum Layer |
+| QoS | Quality of Service |
+| XLMO | Cross-Layer Management Orchestration |
+
+# 5 Conventions
+
+None.
+
+# 6 Functional architecture for QKDNI
+
+A quantum key distribution network (QKDN) is a cryptographic infrastructure designed to provide secure symmetric keys to cryptographic applications within user networks. A large-scale QKDN that covers a wide area may consist of multiple QKDNs, which interwork.
+
+An overview of quantum key distribution network interworking (QKDNI) including interworking QKDNs, reference models, and functional models of gateway functions and interworking functions (IWFs) for QKDNI is given in [ITU-T Y.3810]. Moreover, QKDNI functional requirements are identified in [ITU-T Y.3813].
+
+Based on the conceptual models of QKDNI illustrated in [ITU-T Y.3810] and the QKDNI functional requirements identified in [ITU-T Y.3813], two functional architectures for QKDNI with gateway nodes (GWNs) and interworking node (IWN) are shown in Figures 1 and 2, respectively.
+
+## 6.1 Functional architecture for QKDNI with GWNs
+
+The functional model for QKDNI with gateway nodes (GWNs) is specified in [ITU-T Y.3810], and the layer structure for QKDN is outlined in [ITU-T Y.3800]. Detailed descriptions of the layers in the structure for QKDNI follow.
+
+- Quantum layer (QL): The functional elements include the QKD link and the QKD module.
+- Key management layer (KML): The functional elements include the key management agent (KMA) and key supply agent (KSA). Keys can be relayed between GWNs through KML,
+
+and key manager (KM) can exchange control and management messages with the key relay between QKDNs.
+
+- QKDN control layer: The functional element is the QKDN controller, which supports the interworking of key relay routing and rerouting between GWNs. Key relay routing is performed independently in the QKDN according to the policies of the service provider.
+- QKDN management layer: The functional element is the QKDN manager, which manages and supports fault, configuration, accounting, performance and security (FCAPS) functions between GWNs, and supports user network management.
+
+Most of the reference points in Figure 1 are specified in [ITU-T Y.3802]; this Recommendation specifies new reference points between QKDNs.
+
+The newly added reference points are as follows:
+
+- **Cxi**: A reference point connecting the control and management functions of two QKDN controllers between the QKDNs. Cxi enables the two QKDN controllers to communicate interworking control information to each other.
+- **Kxi-1**: A reference point connecting two KMAs between the QKDNs via an interworking KMA link. Kxi-1 enables the exchange of information and operations required for key relay, key synchronization and authentication between QKDNs.
+- **Kxi-2**: A reference point connecting two KSAs between the QKDNs via an interworking KSA link. Kxi-2 enables the exchange of information and operations required for synchronization and authentication of the keys shared between QKDNs.
+- **Mxi**: A reference point connecting two QKDN managers between the QKDNs. Mxi enables the two QKDN managers to share QKDN management information.
+
+
+
+Figure 1: A functional architecture for QKDNi with GWNs. The diagram shows four main layers: Service layer, User network management layer, QKDN control layer, and QKDN management layer. The Service layer contains a Cryptographic application (APP) with interfaces Ax and Ma. The User network management layer contains a User network manager with interface Mu. The QKDN control layer contains a QKDN controller with sub-components: Routing control, Session control, Configuration control, Access control, Policy based control, and QKDN controller control and management. It has interfaces Cx, Cxi, and Ck. The Key management layer contains a Key manager (KM) with sub-components: KSA (Key supply, Key combination), KM control and management, KMA (Key relay, Key storage, Key life cycle management), and interfaces Kxi-1, Kxi-2, Kx-1, Kx-2, Kq-1, Kq-2, and Cq. The Quantum layer contains a QKD module with sub-components: Key distillation, QKD-key supply, QKD module control and management, Quantum channel synchronization, RNG, Quantum communication, and Channel multiplexing. It has interfaces Qdist, Qsync, Qqc, Cqrp, Cops, Mqrp, and Mops. The QKDN management layer contains a QKDN manager with sub-components: FCAPS functions\*, Control layer management, Key management layer management, and Quantum layer management. It has interfaces Mxi, Mx, Mk, and Mq. A vertical bar on the right represents Cross-layer management orchestration. The diagram is labeled Y.3818(23) at the bottom right.
+
+**Figure 1 – A functional architecture for QKDNi with GWNs**
+
+## 6.2 Functional architecture for QKDNi with IWN
+
+The functional model for QKDNi with IWN is specified in [ITU-T Y.3810] and the layer structure for QKDN in [ITU-T Y.3800]. Detailed descriptions of the layers in the structure for QKDNi follow.
+
+- QL: The functional elements include the QKD link and the QKD module.
+NOTE – In the IWN, there is no Qx between two QKD modules.
+- KML: The functional elements include the KMA and KSA. Keys can be transferred in the IWN through the KML, and KMs can also exchange control and management messages related to key transfer between QKDNs.
+
+- QKDN control layer: The functional element is the QKDN controller, which supports the interworking of key transfer in the IWN. Key transfer is performed independently within the QKDN according to the policies of the service provider.
+- QKDN management layer: The functional element is the QKDN manager, which manages and supports FCAPS functions within the IWN, and also supports user network management.
+
+Most of the reference points in Figure 2 are specified in [ITU-T Y.3802]; this Recommendation specifies new reference points within the IWN.
+
+
+
+Figure 2: A functional architecture for QKDNi with IWN. The diagram shows four main layers: Service layer, QKDN control layer, Key management layer, and Quantum layer, all interacting with a User network management layer and a QKDN management layer. The Service layer contains a Cryptographic application (APP) with reference points Ax and Ma. The QKDN control layer contains a QKDN controller with sub-components: Routing control, Session control, Configuration control, Access control, Policy based control, and QKDN controller control and management. It has reference points Ak, Cxi', Cx, and Ck. The Key management layer contains a Key manager (KM) with sub-components: KSA (Key supply, Key combination), KM control and management, KMA (Key transfer, Key storage, Key life cycle management). It has reference points Kxi-2', Kx-2, Kxi-1', Kx-1, Kq-1, Kq-2, and Cq. The Quantum layer contains a QKD module with sub-components: Key distillation, QKD-key supply, QKD module control and management, Quantum channel synchronization, RNG, Quantum communication, and Channel multiplexing. It has reference points Qdist, Qsync, Qqc, Mq, Cqrp, Cops, Mqrp, and Mops. The User network management layer contains a User network manager with reference points Ma and Mu. The QKDN management layer contains a QKDN manager with sub-components: FCAPS functions\*, Control layer management, Key management layer management, and Quantum layer management. It has reference points Mxi', Mx, Mk, and Mops. A vertical bar on the right indicates 'Cross-layer management orchestration'.
+
+**Figure 2 – A functional architecture for QKDNi with IWN**
+
+The newly added reference points are as follows:
+
+- **Cxi'**: A reference point connecting the control and management functions of two QKDN controllers in the IWN. Cxi' enables the two QKDN controllers to exchange interworking control information. It exists in the IWN when QKDN controllers of both QKDNs are accommodated in the IWN. Otherwise, Cxi (see clause 6.1) can be used.
+
+- **Kxi-1'**: A reference point connecting two KMAs in the IWN via an interworking KMA link. Kxi-1' enables the exchange of information and operations required for key transfer, key synchronization and authentication between QKDNs.
+- **Kxi-2'**: A reference point connecting two KSAs in the IWN via an interworking KSA link. Kxi-2' enables the exchange of information and operations required for synchronization and authentication of the keys shared between QKDNs.
+- **Mxi'**: A reference point connecting two QKDN managers in the IWN. Mxi' enables the two QKDN managers to share QKDNi management information. It exists when two QKDN managers are accommodated within the IWN, allowing them to share information. Otherwise, Mxi (see clause 6.1) can be used.
+
+# 7 Functional elements for QKDNi
+
+## 7.1 Functional elements in GWNs
+
+GWNs are trusted to support interworking interfaces between QKDNs in the functional architecture for QKDNi with GWNs. GWNs are located at the border of each QKDN, and each consists of a KM, QKD modules, or a QKDN controller. Two GWNs are connected to each other by links identified as Cxi, Kxi, Mxi and Qx. The GWNs are further composed of the following functional elements.
+
+- **Key relay function**: This function relays the keys between two QKDNs through Kxi-1 in a highly secure manner using information theoretically secure encryption.
+- **Key supply function**: This function synchronizes and authenticates the keys shared between different KSAs through Kxi-2 and supplies keys to cryptographic applications.
+- **Session control function**: This function supports KMAs and controls the session procedures of interworking key relay.
+- **Routing control function**: This function provisions an appropriate key relay route between QKDNs, and performs rerouting of key relay by sharing fault, performance or availability status of the corresponding QL or KML, to ensure the continuation of interworking key relay and interworking key supply.
+- **Policy-based control function**: This function shares QKDN resources based on the quality of service (QoS) between QKDNs with encryption.
+- **Configuration control function**: This function supports the QKDN controller in provisioning of key relay routes between QKDNs if they support key relay.
+- **Fault management function**: This function supports the QKDN manager for routing and rerouting control of key relay between QKDNs as needed in case of the faults.
+- **Configuration management function**: This function supports the QKDN manager in provisioning of key relay routes between QKDNs if they support key relay.
+- **Accounting management function**: This function shares the usage of key supply services and support a charging or billing system to determine the costs of key usage by cryptographic applications between QKDNs.
+- **Performance management function**: This function monitors and analyses the performance status of QKDN managed resources, and shares related information with encryption between QKDNs.
+- **Security management function**: This function collects or receives security-related management information from the QKDN, and shares related information with encryption between QKDNs.
+
+## 7.2 Functional elements in IWN
+
+The IWN is a trusted node that supports interworking interfaces between QKDNs in the functional architecture for QKDNi with IWN. The IWN is located outside both interworking QKDNs and in between them, and it consists of KMs, QKD modules or QKDN controllers. In the IWN, the KMs and the QKDN controllers are connected with each other by links identified as Kxi' and Cxi' respectively. The QKD modules in the IWN are not connected with each other. The IWN is further composed of the following functional elements.
+
+- **Key transfer function:** This function transfers the keys between QKDNs through Kxi-1'. It also supports key relay within a QKDN.
+- **Key supply function:** This function synchronizes and authenticates the keys shared between different KSAs through Kxi-2', and supplies the keys to cryptographic applications.
+- **Session control function:** This function supports KMAs and controls the session procedures for interworking key transfer.
+- **Routing control function:** This function provisions an appropriate key transfer route between QKDNs, also performs rerouting of key transfer via sharing fault, performance or availability status of the corresponding QL or KML.
+- **Policy-based control function:** This function shares QKDN resources based on QoS between QKDNs with encryption.
+- **Configuration control function:** This function supports the QKDN controller in provisioning key transfer routes between QKDNs.
+- **Fault management function:** This function supports the QKDN manager for the routing and rerouting control of key transfer between QKDNs as needed in case of faults.
+- **Configuration management function:** This function supports the QKDN manager in provisioning key transfer routes between QKDNs.
+- **Accounting management function:** This function shares the usage of key supply services and support a charging or billing system to determine the costs of key usage by cryptographic applications between QKDNs.
+- **Performance management function:** This function monitors and analyses the performance status of QKDN managed resources and shares related information with encryption between QKDNs.
+- **Security management function:** This function collects or receives security-related management information from the QKDN and shares related information with encryption between QKDNs.
+
+# 8 Interworking architectural configurations
+
+There are multiple possible configurations for QKDNi depending on its functional model (QKDNi with either GWNs or an IWN), architectures of interworking QKDNs (distributed or centralized control), or implementation schemes of functional elements for QKDNi. Clauses 8.1 and 8.2 describe several examples of configurations for QKDNi.
+
+## 8.1 Configurations of QKDNi with GWNs
+
+### 8.1.1 Configurations of QKDNi with GWNs for two distributed QKDNs
+
+Figure 3 shows a functional model of a configuration of QKDNi with GWNs for two distributed QKDNs.
+
+
+
+Figure 3: Interworking of distributed QKDNs with GWNs. This diagram shows two QKDN providers, A and B, separated by a network boundary. Each provider consists of a QKDN, a QKDN controller, a Key Management (KM) module (containing KSA and KMA), and two QKD modules. Cryptographic applications are connected to the QKDNs via Ak. The QKDNs are connected to the controllers via Cx. The controllers are connected to the KM modules via Cq and Ck. The KM modules are connected to the QKD modules via kq. The QKD modules are connected to the network boundary via Qx. The network boundary is labeled with Kxi-1 and Kxi-2. The diagram is labeled Y.3818(23) at the bottom right.
+
+**Figure 3 – Interworking of distributed QKDNs with GWNs**
+
+### 8.1.2 Configurations of QKDNi with GWNs for a distributed QKDN and a centralized QKDN
+
+Figure 4 shows a functional model of a distributed QKDN and a centralized QKDN, with separate KMs in the GWNs.
+
+
+
+Figure 4: Interworking of a centralized QKDN and a distributed QKDN with GWNs. This diagram shows a centralized QKDN (A) and a distributed QKDN (B) separated by a network boundary. The centralized QKDN (A) consists of a QKDN, a QKDN controller, a Key Management (KM) module (containing KSA and KMA), and two QKD modules. The distributed QKDN (B) consists of a QKDN, a QKDN controller, a Key Management (KM) module (containing KSA and KMA), and two QKD modules. Cryptographic applications are connected to the QKDNs via Ak. The QKDNs are connected to the controllers via Cx. The controllers are connected to the KM modules via Cq and Ck. The KM modules are connected to the QKD modules via kq. The QKD modules are connected to the network boundary via Qx. The network boundary is labeled with Kxi-1 and Kxi-2. The diagram is labeled Y.3818(23) at the bottom right.
+
+**Figure 4 – Interworking of a centralized QKDN and a distributed QKDN with GWNs**
+
+### 8.1.3 Configurations of QKDNi with GWNs for two centralized QKDNs
+
+Figure 5 illustrates a functional model for interworking of two centralized QKDNs.
+
+
+
+```
+
+ graph TD
+ subgraph App_A [Cryptographic application A]
+ CA_A[Cryptographic application]
+ end
+ subgraph App_B [Cryptographic application B]
+ CA_B[Cryptographic application]
+ end
+
+ subgraph QKDN_Provider_A [QKDN-A / QKDN provider-A]
+ QKDN_A((QKDN))
+ subgraph GWN_A [GWN-A / Trusted node]
+ subgraph KM_A [KM-A]
+ KSA_A[KSA]
+ KMA_A[KMA]
+ end
+ QKDM_A1[QKD module-A1]
+ QKDM_A2[QKD module-A2]
+ end
+ end
+
+ subgraph QKDN_Provider_B [QKDN-B / QKDN provider-B]
+ QKDN_B((QKDN))
+ subgraph GWN_B [GWN-B / Trusted node]
+ subgraph KM_B [KM-B]
+ KSA_B[KSA]
+ KMA_B[KMA]
+ end
+ QKDM_B1[QKD module-B1]
+ QKDM_B2[QKD module-B2]
+ end
+ end
+
+ CA_A -- Ax -- CA_B
+ CA_A -- Ak -- QKDN_A
+ CA_B -- Ak -- QKDN_B
+ QKDN_A -- Ck -- KSA_A
+ QKDN_B -- Ck -- KSA_B
+ QKDN_A -- Kx -- KM_A
+ QKDN_B -- Kx -- KM_B
+ QKDN_A -- Qx -- QKDM_A1
+ QKDN_B -- Qx -- QKDM_B1
+
+ KSA_A -- Kxi-1 -- KSA_B
+ KMA_A -- Kxi-2 -- KMA_B
+ QKDM_A2 -- Qx -- QKDM_B1
+
+ KSA_A -- kq -- QKDM_A1
+ KSA_A -- kq -- QKDM_A2
+ KSA_B -- kq -- QKDM_B1
+ KSA_B -- kq -- QKDM_B2
+
+ style QKDN_A fill:none
+ style QKDN_B fill:none
+
+```
+
+**Figure 5 – Interworking of centralized QKDNs with GWNs**
+
+Figure 5 – Interworking of centralized QKDNs with GWNs
+
+### 8.2 Configurations of QKDNi with IWN
+
+#### 8.2.1 Configurations of QKDNi with IWN for two distributed QKDNs
+
+Figure 6 shows a functional model of a configuration of QKDNi with IWN for two distributed QKDNs, each with separate KMs and separate QKDN controllers in IWN. Key transfer is performed within the IWN. In this configuration, QKD module-A and QKD module-B interact with KM-A and KM-B respectively, and each KM IWF interacts with the corresponding QKDN controller IWF.
+
+10 Rec. ITU-T Y.3818 (09/2024)
+
+
+
+Figure 6: Interworking of distributed QKDNs. The diagram shows two QKDN providers, QKDN-A and QKDN-B, separated by a network boundary. Each provider contains a QKDN controller, a Key Management (KM) module (KM-A and KM-B), and a QKD module. QKDN-A is labeled as 'QKDN-A (QKDN provider-A)' and QKDN-B as 'QKDN-B (QKDN provider-B)'. The central area is labeled 'IWN (Trusted node)'. A red dashed line represents the 'Network boundary'. Cryptographic applications are connected to each QKDN via an 'Ak' interface. The QKDN controllers are connected to the KM modules via 'Ck' and 'Cq' interfaces. The KM modules are connected to the QKD modules via 'kq' interfaces. The QKD modules are connected to the QKDNs via 'Qx' interfaces. The QKDNs are connected to the IWN via 'Cx' and 'Cx'' interfaces. The IWN is connected to the QKDNs via 'Kxi-1'' and 'Kxi-2'' interfaces. The diagram is labeled 'Y.3818(23)' in the bottom right corner.
+
+**Figure 6 – Interworking of distributed QKDNs**
+
+### 8.2.2 Configurations of QKDNi with IWN for a distributed QKDN and a centralized QKDN
+
+Figure 7 shows a functional model of a configuration of a distributed QKDN and a centralized QKDN, each with separate KMs in the IWN. In this configuration, QKD module-A and QKD module-B interact with KM-A and KM-B respectively. Since QKDN-A is centralized, the KM IWF interacts with QKDN controller-A. In addition, since QKDN-B is distributed, the KM IWF interacts with QKDN controller-B.
+
+
+
+Y.3818(23)
+
+Figure 7: Interworking of a centralized QKDN and a distributed QKDN. The diagram shows two QKDN providers, QKDN-A and QKDN-B, separated by a network boundary. Each provider contains a QKDN controller and a Key Management (KM) module (KM-A for QKDN-A, KM-B for QKDN-B). The KM modules contain a Key Set Administrator (KSA) and a Key Management Agent (KMA). QKDN-A also includes a QKD module-A, and QKDN-B includes a QKD module-B. Cryptographic applications are connected to the QKDNs via interfaces Ak. The QKDNs are connected to each other via interfaces Ax, Cxi, Cx, Kxi-2', Kxi-1', Kx, and Qx. The KM modules are connected to the QKD modules via interface kq. The entire system is labeled as IWN (Trusted node).
+
+**Figure 7 – Interworking of a centralized QKDN and a distributed QKDN**
+
+### 8.2.3 Configurations of QKDNi with IWN for two centralized QKDNs
+
+Figure 8 illustrates a functional model of a configuration of two centralized QKDNs, each with separate KMs in the IWN. In this configuration, QKD module-A and QKD module-B interact with KM-A and KM-B, respectively. Since both QKDN-A and QKDN-B are centralized, KM-A interacts with QKDN controller-A, and KM-B interacts with QKDN controller-B.
+
+NOTE – In Figure 8, QKDN controllers and Cq interfaces are not described in order to avoid complexity.
+
+
+
+
+
+```
+
+sequenceDiagram
+ participant QKD_A as QKD module-A
+ participant KM_A as KM-A
+ participant QKDN_CA as QKDN controller-A
+ participant QKDN_MA as QKDN manager-A
+ participant QKDN_MB as QKDN manager-B
+ participant QKDN_CB as QKDN controller-B
+ participant KM_B as KM-B
+ participant QKD_B as QKD module-B
+
+ Note over QKD_A, KM_A, QKDN_CA, QKDN_MA: GWN-A
+ Note over QKDN_MB, QKDN_CB, KM_B, QKD_B: GWN-B
+
+ KM_A->>QKDN_CA: Request the interworking key relay route
+ activate QKDN_CA
+ QKDN_CA->>QKDN_CA: Compute the interworking route
+ QKDN_CA-->>KM_A: Interworking route information
+ deactivate QKDN_CA
+ QKDN_CA->>KM_B: Relay keys to KM-B via interworking key relay route
+ KM_A->>QKDN_MA: Send metadata for interworking key life cycle management
+ QKDN_CB->>QKDN_MB: Send metadata for interworking key life cycle management
+ KM_A->>KM_A: Deleting the key data from or preserving the key data in storage
+ KM_B->>KM_B: Deleting the key data from or preserving the key data in storage
+
+```
+
+Y.3818(23)
+
+Sequence diagram showing key relay for interworking between two QKDN providers with GWNs. The diagram is divided into two main sections: GWN-A and GWN-B. GWN-A contains QKD module-A, KM-A, QKDN controller-A, and QKDN manager-A. GWN-B contains QKDN manager-B, QKDN controller-B, KM-B, and QKD module-B. The process starts with an 'Interworking key relay route requirement' box in GWN-A. A message 'Request the interworking key relay route' goes from KM-A to QKDN controller-A. A process box 'Compute the interworking route' is in QKDN controller-A. A message 'Interworking route information' goes from QKDN controller-A to KM-A. A message 'Relay keys to KM-B via interworking key relay route' goes from QKDN controller-A to KM-B. A message 'Send metadata for interworking key life cycle management' goes from KM-A to QKDN manager-A. A message 'Send metadata for interworking key life cycle management' goes from QKDN controller-B to QKDN manager-B. Two process boxes 'Deleting the key data from or preserving the key data in storage' are shown at the bottom, one for KM-A and one for KM-B. The diagram is labeled Y.3818(23) at the bottom right.
+
+**Figure 9 – An example of key relay for interworking between two QKDN providers with GWNs**
+
+#### 2) Key generation and rerouting control for interworking
+
+Figure 10 illustrates an example of a procedure for key generation and rerouting control for interworking between QKDNs with GWNs.
+
+Each QKDN controller requests status information from QKD modules, QKD links and KMs. These modules then send the related information to their respective controller. Next, QKDN controller-A and QKDN controller-B check and share these messages for subsequent operations.
+
+In terms of interworking rerouting, QKD modules send status information, and optionally a QKD link, to their respective controllers. QKDN controller-A and QKDN controller-B analyse the provided information and determine whether interworking key relay rerouting is necessary. They then share information to change rerouting path simultaneously. After confirming that the commands from both controllers are consistent, they send interworking rerouting information to KM-A and KM-B.
+
+
+
+```
+
+sequenceDiagram
+ participant QKD_A as QKD module-A
+ participant KM_A as KM-A
+ participant QKDN_CTRL_A as QKDN controller-A
+ participant QKDN_MGR_A as QKDN manager-A
+ participant QKDN_MGR_B as QKDN manager-B
+ participant QKDN_CTRL_B as QKDN controller-B
+ participant KM_B as KM-B
+ participant QKD_B as QKD module-B
+
+ QKD_A->>QKDN_CTRL_A: Report QKD device and link information
+ KM_A->>QKDN_CTRL_A: Report the status of KM-A
+ QKDN_CTRL_A->>QKDN_MGR_A: Status information and optionally of QKD interworking link
+ QKDN_MGR_A->>QKDN_CTRL_A: Analyse the information and decide the interworking reroute path
+ QKDN_CTRL_A->>QKDN_CTRL_B: Check and share the status and information
+ QKDN_CTRL_B->>QKDN_MGR_B: Status information and optionally of QKD interworking link
+ QKDN_MGR_B->>QKDN_CTRL_B: Analyse the information and decide the interworking reroute path
+ QKDN_MGR_A->>QKDN_CTRL_B: Share reroute information to change interworking path simultaneously
+ QKDN_CTRL_B->>QKD_B: Interworking reroute information
+ QKDN_CTRL_A->>QKD_A: Interworking reroute information
+
+```
+
+GWN-A GWN-B Y.3818(23)
+
+Sequence diagram showing key generation and rerouting control for interworking between two QKDNs with GWNs. The diagram is divided into two main sections: GWN-A and GWN-B. GWN-A contains QKD module-A, KM-A, QKDN controller-A, and QKDN manager-A. GWN-B contains QKDN manager-B, QKDN controller-B, KM-B, and QKD module-B. The process starts with QKD modules reporting device and link information to their respective QKDN controllers. Then, KM-A reports its status to QKDN controller-A, and KM-B reports its status to QKDN controller-B. The controllers then check and share status and information with each other. Next, QKDN controllers send status information and optionally QKD interworking link information to their respective QKDN managers. The managers then analyse the information and decide the interworking reroute path. Finally, the managers share reroute information to change the interworking path simultaneously, and the QKDN controllers send the interworking reroute information back to their respective QKD modules.
+
+**Figure 10 – An example of key generation and rerouting control for interworking between two QKDNs with GWNs**
+
+#### 3) Fault management of key relay failure for interworking
+
+Figure 11 shows an example of a QKDNi fault management procedure between two QKDNs with GWNs. If there is an issue with the interworking relay, the key manager layer management-A (KMLM-A) reports the relay failure to cross-layer management orchestration-A (XLMO-A). XLMO-A then forwards this information to XLMO-B. Both XLMO-A and XLMO-B report the interworking relay failure diagnosis information to the corresponding QKDN control layer management (QCLM), which makes the next decision.
+
+In addition, management in each layer sends a performance report and security information to XLMO-A. These are packed by XLMO-A and then sent to XLMO-B.
+
+
+
+```
+
+sequenceDiagram
+ participant QLM_A as QLM-A
+(Quantum layer management)
+ participant KMLM_A as KMLM-A
+(KM layer management)
+ participant QCLM_A as QCLM-A
+(QKDN control layer management)
+ participant XLMO_A as XLMO-A
+(Cross layer management orchestration)
+ participant XLMO_B as XLMO-B
+(Cross layer management orchestration)
+ participant QCLM_B as QCLM-B
+(QKDN control layer management)
+ participant KMLM_B as KMLM-B
+(KM layer management)
+ participant QLM_B as QLM-B
+(Quantum layer management)
+
+ Note over KMLM_A: Interworking relay failure?
+ KMLM_A->>XLMO_A: Yes Report relay failure
+ KMLM_A->>QLM_A: No
+ QLM_A->>QCLM_A: Quantum layer performance report, security Info.
+ KMLM_A->>QCLM_A: KM layer performance report, security Info.
+ QCLM_A->>XLMO_A: Interworking relay failure diagnosis Info.
+ QCLM_A->>XLMO_A: Security Info.
+ XLMO_A->>XLMO_A: Pack information
+ XLMO_A->>XLMO_B: Report relay failure
+ XLMO_B->>QCLM_B: Report relay failure
+ QCLM_B->>QCLM_B: Interworking relay failure diagnosis Info.
+ XLMO_A->>XLMO_B: Send to QKDN manager-B
+
+```
+
+QKDN manager-AQKDN manager-BY.3818(23)
+
+Sequence diagram illustrating fault management of key relay failure for interworking between two QKDNs with GWNs. The diagram shows the interaction between QKDN manager-A and QKDN manager-B, involving Quantum layer management (QLM), KM layer management (KMLM), QKDN control layer management (QCLM), and Cross layer management orchestration (XLMO).
+
+**Figure 11 – An example of fault management of key relay failure for interworking between two QKDNs with GWNs**
+
+## 9.2 Operational procedures for QKDNi with IWN
+
+### 1) Key transfer for interworking
+
+Figure 12 illustrates an example of a key transfer procedure of interworking between QKDNs with IWN.
+
+In this procedure, KM-A receives an interworking key transfer requirement and sends it to QKDN controller-A. Next, controller-A checks the status of key resources between KM-A and KM-B. If there are sufficient keys to be provided, controller-A determines the transfer link and keys. After receiving a message from controller-A, KM-A transfers the keys to KM-B via an interworking key transfer link. To ensure information synchronization, KM-A and KM-B send metadata for key lifecycle management to their respective controllers, and either delete or store the key data.
+
+
+
+Sequence diagram for key transfer between two QKDNs with IWN. The diagram shows two main sections: QKDN-A (left) and QKDN-B (right), separated by a dashed line labeled 'IWF'. QKDN-A contains QKD module-A, KM-A, QKDN controller-A, and QKDN manager-A. QKDN-B contains QKDN manager-B, QKDN controller-B, KM-B, and QKD module-B. The process starts with KM-A sending an 'Interworking key transfer link requirement' to QKDN controller-A. QKDN controller-A then sends 'Request the interworking key transfer route' to QKDN manager-A. QKDN manager-A sends 'Check key resources of transfer link' to QKDN controller-A. QKDN controller-A then sends 'Determine the transfer link and key resources' to QKDN manager-A. QKDN manager-A sends 'Transfer keys to KM-B via interworking key transfer link' to KM-B. QKDN manager-A also sends 'Send metadata for transfer key life cycle management' to QKDN controller-A. QKDN controller-A sends 'Deleting the key data from or preserving the key data in storage' to KM-A. QKDN controller-B sends 'Send metadata for transfer key life cycle management' to QKDN manager-B. QKDN manager-B sends 'Deleting the key data from or preserving the key data in storage' to KM-B. The diagram is labeled 'IWF' at the bottom and 'Y.3818(23)' at the bottom right.
+
+**Figure 12 – An example of key transfer for interworking between two QKDNs with IWN**
+
+### 2) Key generation control for interworking
+
+Figure 13 illustrates an example of a procedure for key generation and rerouting control for interworking between QKDNs with IWN.
+
+This procedure is similar to that shown in Figure 12. Each QKDN controller is responsible for collecting information from the QKD module and KM, and sharing information with the other controller. In contrast, when a fault occurs, QKDN controller-A and QKDN controller-B receive the related information and decide on the rerouting paths for key transfer.
+
+
+
+Sequence diagram for key generation and rerouting control between two QKDNs with IWN. The diagram shows two main sections: QKDN-A (left) and QKDN-B (right), separated by a dashed line labeled 'IWF'. QKDN-A contains QKD module-A, KM-A, QKDN controller-A, and QKDN manager-A. QKDN-B contains QKDN manager-B, QKDN controller-B, KM-B, and QKD module-B. The process starts with QKD module-A sending 'Report QKD device and link information' to QKDN controller-A. KM-A sends 'Report the status of KM-A' to QKDN controller-A. QKDN controller-A sends 'Status information and optionally of QKD interworking link' to QKDN manager-A. QKDN manager-A sends 'Check and share the status and information' to QKDN controller-B. QKDN controller-B sends 'Status information and optionally of QKD interworking link' to QKDN manager-B. QKDN manager-B sends 'Share fault information to reroute of key transfer' to QKDN controller-A. QKDN controller-A sends 'Interworking rerouting information' to KM-A. QKDN controller-B sends 'Report QKD device and link information' to QKDN manager-B. KM-B sends 'Report the status of KM-B' to QKDN controller-B. QKDN controller-B sends 'Status information and optionally of QKD interworking link' to QKDN manager-B. QKDN manager-B sends 'Interworking rerouting information' to KM-B. The diagram is labeled 'IWF' at the bottom and 'Y.3818(23)' at the bottom right.
+
+**Figure 13 – An example of key generation and rerouting control for interworking between two QKDNs with IWN**
+
+### 3) Fault management of key transfer failure for interworking
+
+Figure 14 shows an example of a fault management procedure of key transfer failure for interworking between QKDNs with IWN.
+
+If there is an issue with the interworking key transfer, KMLM-A reports the relay failure to XLMO-A, which then forwards it to XLMO-B. Both XLMO-A and XLMO-B report interworking key transfer failure diagnosis information to the corresponding QCLM, which makes the next decision.
+
+
+
+The diagram illustrates the fault management procedure for a key transfer failure between two Quantum Key Distribution Networks (QKDNs) with Interworking Network (IWN). The process is divided into two main sections: QKDN manager-A and QKDN manager-B, separated by a dashed line labeled IWF.
+
+**QKDN manager-A components:**
+
+- QLM-A (Quantum layer management)
+- KMLM-A (KM layer management)
+- QCLM-A (QKDN control layer management)
+- XLMO-A (Cross layer management orchestration)
+
+**QKDN manager-B components:**
+
+- XLMO-B (Cross layer management orchestration)
+- QCLM-B (QKDN control layer management)
+- KMLM-B (KM layer management)
+- QLM-B (Quantum layer management)
+
+**Procedure Flow:**
+
+- A decision diamond asks "Interworking transfer failure?".
+- If "Yes", KMLM-A reports the transfer failure to XLMO-A.
+- XLMO-A reports the transfer failure to XLMO-B.
+- Both XLMO-A and XLMO-B report interworking transfer failure diagnosis information to their respective QCLM (QCLM-A and QCLM-B).
+- QCLM-A sends Quantum layer performance report, security Info. to QLM-A.
+- QCLM-A sends KM layer performance report, security Info. to KMLM-A.
+- QCLM-A sends Security Info. to QCLM-B.
+- QCLM-B packs the information and sends it to QCLM-A.
+- QCLM-B sends the packed information to QCLM-A.
+- QCLM-A sends the packed information to QCLM-B.
+- QCLM-A sends the packed information to QCLM-B.
+- QCLM-A sends the packed information to QCLM-B.
+
+Sequence diagram showing fault management of key transfer failure for interworking between two QKDNs with IWN.
+
+**Figure 14 – An example of fault management of key transfer failure for interworking between two QKDNs with IWN**
+
+# 10 Security considerations
+
+To mitigate security threats and potential attacks, such as issues of confidentiality, integrity, authenticity, non-repudiation, availability and traceability need to be addressed. Additionally, appropriate security and privacy protection schemes should be considered for the QKDN, the user network and the interfaces between the two networks. Details lie outside the scope of this Recommendation.
+
+# Bibliography
+
+- [b-ITU-T X.1710] Recommendation ITU-T X.1710 (2020), *Security framework for quantum key distribution networks*.
+- [b-ITU-T X.1713] Recommendation ITU-T X.1713 (2024), *Security requirements for the protection of quantum key distribution nodes*.
+- [b-ETSI GR QKD 007] Group Report ETSI GR QKD 007 V1.1.1 (2018), *Quantum key distribution (QKD); Vocabulary*.
+
+
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+# ITU-T
+
+TELECOMMUNICATION
+STANDARDIZATION SECTOR
+OF ITU
+
+## Y.4119
+
+(03/2018)
+
+SERIES Y: GLOBAL INFORMATION
+INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS,
+NEXT-GENERATION NETWORKS, INTERNET OF
+THINGS AND SMART CITIES
+
+Internet of things and smart cities and communities –
+Requirements and use cases
+
+# --- **Requirements and capability framework for IoT-based automotive emergency response system**
+
+Recommendation ITU-T Y.4119
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+## GLOBAL INFORMATION INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS, NEXT-GENERATION NETWORKS, INTERNET OF THINGS AND SMART CITIES
+
+## GLOBAL INFORMATION INFRASTRUCTURE
+
+| | |
+|-------------------------------------------|-------------|
+| General | Y.100–Y.199 |
+| Services, applications and middleware | Y.200–Y.299 |
+| Network aspects | Y.300–Y.399 |
+| Interfaces and protocols | Y.400–Y.499 |
+| Numbering, addressing and naming | Y.500–Y.599 |
+| Operation, administration and maintenance | Y.600–Y.699 |
+| Security | Y.700–Y.799 |
+| Performances | Y.800–Y.899 |
+
+## INTERNET PROTOCOL ASPECTS
+
+| | |
+|--------------------------------------------------------------------|---------------|
+| General | Y.1000–Y.1099 |
+| Services and applications | Y.1100–Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200–Y.1299 |
+| Transport | Y.1300–Y.1399 |
+| Interworking | Y.1400–Y.1499 |
+| Quality of service and network performance | Y.1500–Y.1599 |
+| Signalling | Y.1600–Y.1699 |
+| Operation, administration and maintenance | Y.1700–Y.1799 |
+| Charging | Y.1800–Y.1899 |
+| IPTV over NGN | Y.1900–Y.1999 |
+
+## NEXT GENERATION NETWORKS
+
+| | |
+|-------------------------------------------------------------------|---------------|
+| Frameworks and functional architecture models | Y.2000–Y.2099 |
+| Quality of Service and performance | Y.2100–Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200–Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250–Y.2299 |
+| Enhancements to NGN | Y.2300–Y.2399 |
+| Network management | Y.2400–Y.2499 |
+| Network control architectures and protocols | Y.2500–Y.2599 |
+| Packet-based Networks | Y.2600–Y.2699 |
+| Security | Y.2700–Y.2799 |
+| Generalized mobility | Y.2800–Y.2899 |
+| Carrier grade open environment | Y.2900–Y.2999 |
+
+## FUTURE NETWORKS
+
+Y.3000–Y.3499
+
+### CLOUD COMPUTING
+
+Y.3500–Y.3999
+
+### INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES
+
+| | |
+|---------------------------------------------------------|----------------------|
+| General | Y.4000–Y.4049 |
+| Definitions and terminologies | Y.4050–Y.4099 |
+| Requirements and use cases | Y.4100–Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250–Y.4399 |
+| Frameworks, architectures and protocols | Y.4400–Y.4549 |
+| Services, applications, computation and data processing | Y.4550–Y.4699 |
+| Management, control and performance | Y.4700–Y.4799 |
+| Identification and security | Y.4800–Y.4899 |
+| Evaluation and assessment | Y.4900–Y.4999 |
+
+*For further details, please refer to the list of ITU-T Recommendations.*
+
+## Recommendation ITU-T Y.4119
+
+# Requirements and capability framework for IoT-based automotive emergency response system
+
+## Summary
+
+Recommendation ITU-T Y.4119 provides an overview of an Internet of things (IoT)-based automotive emergency response system (AERS), identifies requirements of the AERS for aftermarket devices, and provides a capability framework of the AERS.
+
+## History
+
+| Edition | Recommendation | Approval | Study Group | Unique ID* |
+|---------|----------------|------------|-------------|---------------------------------------------------------------------------|
+| 1.0 | ITU-T Y.4119 | 2018-03-01 | 20 | 11.1002/1000/13497 |
+
+## Keywords
+
+AERS, automotive emergency response system.
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID. For example, .
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had received notice of intellectual property, protected by patents, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the TSB patent database at .
+
+© ITU 2018
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | | Page |
+|---|----------------------------------------------------------------------------------|-------------|
+| 1 | Scope..... | 1 |
+| 2 | References..... | 1 |
+| 3 | Definitions ..... | 1 |
+| | 3.1 Terms defined elsewhere..... | 1 |
+| | 3.2 Terms defined in this Recommendation..... | 1 |
+| 4 | Abbreviations and acronyms ..... | 2 |
+| 5 | Conventions ..... | 3 |
+| 6 | Overview of the IoT-based automotive emergency response system ..... | 3 |
+| 7 | Requirements of the IoT-based automotive emergency response system..... | 5 |
+| | 7.1 Automotive emergency detection device requirements..... | 5 |
+| | 7.2 Automotive emergency response centre requirements..... | 5 |
+| 8 | Capability framework of the IoT-based automotive emergency response system ..... | 6 |
+| 9 | Automotive emergency response system workflows ..... | 7 |
+| | 9.1 EA dispatch request..... | 7 |
+| | 9.2 User cancellation using AEDD ..... | 8 |
+| | 9.3 Cancellation during proxy AERC FE confirmation ..... | 8 |
+| | 9.4 MSD transmission testing..... | 9 |
+| | Appendix I – Implementation examples ..... | 11 |
+| | I.1 AEDD without data and voice communication capabilities..... | 11 |
+| | I.2 AEDD with data communication capability..... | 11 |
+| | I.3 AEDD with data and voice communication capabilities..... | 12 |
+| | Bibliography..... | 13 |
+
+
+
+## Recommendation ITU-T Y.4119
+
+# Requirements and capability framework for IoT-based automotive emergency response system
+
+# 1 Scope
+
+The objective of this Recommendation is to identify requirements of an Internet of things (IoT)-based automotive emergency response system (AERS) for aftermarket devices and to provide a capability framework of the AERS.
+
+In particular, the scope of this Recommendation includes:
+
+- Overview of the AERS
+- Requirements of the AERS
+- Capability framework of the AERS
+
+AERS for original equipment manufacturer (OEM) pre-installed devices, such as the pan-European eCall [b-CEN EN 16072], is out of scope of this Recommendation.
+
+NOTE – AERS can be considered as a third party service provider (TPSP) system [b-CEN EN 16102] in the pan-European eCall.
+
+Also, the operation of the emergency authority (EA) is out of scope of this Recommendation.
+
+## 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+[ITU-T Y.4000] Recommendation ITU-T Y.4000/Y.2060 (2012), *Overview of the Internet of things*.
+
+## 3 Definitions
+
+### 3.1 Terms defined elsewhere
+
+This Recommendation uses the following term defined elsewhere:
+
+**3.1.1 Internet of things (IoT)** [ITU-T Y.4000]: A global infrastructure for the information society, enabling advanced services by interconnecting (physical and virtual) things based on existing and evolving interoperable information and communication technologies.
+
+NOTE 1 – Through the exploitation of identification, data capture, processing and communication capabilities, the IoT makes full use of things to offer services to all kinds of applications, whilst ensuring that security and privacy requirements are fulfilled.
+
+NOTE 2 – From a broader perspective, the IoT can be perceived as a vision with technological and societal implications.
+
+### 3.2 Terms defined in this Recommendation
+
+This Recommendation defines the following terms:
+
+**3.2.1 automotive emergency detection device (AEDD):** A unit (or a set of units) expected to perform at least the following functions:
+
+- receiving sensing data, from internal sensors and/or vehicle sensors, for determining whether or not the accident occurred needs emergency recovery or receiving manual triggering signals,
+- determining whether or not the accident occurred needs emergency recovery,
+- receiving information about, or determining, the vehicle location,
+- sending a minimum set of data (MSD) which is related to the accident and
+- providing bidirectional voice communication.
+
+**3.2.2 automotive emergency response centre (AERC):** A centre managed by a public authority or a private organization, responsible for:
+
+- answering each automotive emergency response request,
+- confirming whether or not the accident occurred and
+- notifying the emergency authority (EA) if EA dispatch is necessary.
+
+NOTE – Considering the features of aftermarket devices, AERC is equipped with false alarms filtering functions.
+
+**3.2.3 internal sensor:** Sensor installed in or physically connected to an aftermarket automotive emergency detection device (AEDD) to provide information for automotive accident detection.
+
+**3.2.4 minimum set of data (MSD):** Data related to the accident sent from an automotive emergency detection device (AEDD) to an automotive emergency response centre (AERC).
+
+**3.2.5 vehicle sensor:** Sensor such as collision sensor, accelerometer, airbag deployment sensor, etc., that is installed in the vehicle to be used for automotive accident detection.
+
+**3.2.6 user:** Person in the vehicle using an automotive emergency detection device (AEDD).
+
+## **4 Abbreviations and acronyms**
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|--------|---------------------------------------|
+| ACK | Acknowledgement |
+| AEDD | Automotive Emergency Detection Device |
+| AERC | Automotive Emergency Response Centre |
+| AERS | Automotive Emergency Response System |
+| EA | Emergency Authority |
+| FE | Functional Entity |
+| GNSS | Global Navigation Satellite System |
+| IoT | Internet of Things |
+| MSD | Minimum Set of Data |
+| OBD-II | On-Board Diagnostic System-II |
+| OEM | Original Equipment Manufacturer |
+| PSAP | Public Safety Answering Point |
+| TPSP | Third Party Service Provider |
+| VIN | Vehicle Identification Number |
+
+## 5 Conventions
+
+In this Recommendation:
+
+- The keywords "is required to" indicate a requirement which must be strictly followed and from which no deviation is permitted, if conformance to this Recommendation is to be claimed.
+- The keywords "is recommended" indicate a requirement which is recommended but which is not absolutely required. Thus, this requirement need not be present to claim conformance.
+
+## 6 Overview of the IoT-based automotive emergency response system
+
+Every year, more than 1 million people die from automobile accidents [b-WHO GSR RS]. To reduce mortalities, automobile industries have developed technologies so that accidents can be avoided or their severity reduced. However, to reduce mortalities, when a serious accident cannot be avoided, proper and efficient accident respond-rescue procedures are necessary so that victims can be transferred to hospital within the critical "golden" timeframe.
+
+An IoT-based [ITU-T Y.4000] automotive emergency response system (AERS) reports automobile accidents to an automotive emergency response centre (AERC) by an automotive emergency detection device (AEDD) using vehicle sensors of the automobile and/or internal sensors installed on aftermarket devices such as the navigation system, dash cam, smartphone, etc.
+
+As shown in Figure 1, employing the AERS is expected to reduce automobile accident detection (T1) and report (T2) time using automatic accident detection-report procedures. Furthermore, since sensor assisted geographical positioning allows the emergency authority (EA) to pinpoint the exact location of an accident, the arrival time at the scene will be shortened significantly (T4).
+
+
+
+The diagram illustrates the timing of an IoT-based automotive emergency response system. It features a horizontal timeline with seven key events marked by colored dots: Accident (red), AEDD report (red), AERC reception (red), EA dispatch (purple), Arrival at the scene (purple), Transfer beginning (purple), and Arrival at the emergency room (purple). Below the timeline, six time intervals are defined: T1 (Automatic detection), T2 (Automatic report), T3 (EA dispatch), T4 (Exact location), T5 (Arrival at the scene), and T6 (Transfer). These intervals are grouped into four main phases: Detection-report time (T1+T2), Reaction time (T3+T4), Action time (T5), and Transfer time (T6). The diagram is labeled Y.4119(18)\_F01 in the bottom right corner.
+
+Timing diagram of an IoT-based automotive emergency response system showing the sequence of events from accident to arrival at the emergency room.
+
+**Figure 1 – Timing diagram of an IoT-based automotive emergency response system**
+
+The AERS is designed to bring rapid assistance to driver and/or passengers involved in an accident. It includes the AEDD, the AERC and the EA. In the event of a serious road accident, the AEDD in the vehicle automatically connects to the AERC and gives emergency operators information relating to the accident, including global navigation satellite system (GNSS) coordinates, the time of the accident and the vehicle identification number (VIN) [b-ISO 3779].
+
+Figure 2 shows an overview of the AERS.
+
+
+
+Figure 2 – Overview of the AERS. The diagram shows a vehicle with a GNSS satellite above it. Inside the vehicle, there are 'Vehicle sensors' and 'Internal sensors' connected to the 'AEDD' (Automotive Emergency Detection Device). The AEDD is connected to the 'AERC' (Automotive Emergency Response Centre) via a dashed line (Voice) and a solid line (Data). The AERC is also connected to a 'Legacy system' and an 'EA' (Emergency Assistance) unit. A legend at the bottom indicates that dashed lines represent Voice and solid lines represent Data. The text 'Y.4119(18)\_F02' is located at the bottom right of the diagram.
+
+**Figure 2 – Overview of the AERS**
+
+AEDD is a unit (or a set of units) expected to perform at least the following functions:
+
+- receiving sensing data, from internal sensors and/or vehicle sensors, for determining whether or not the accident occurred needs emergency recovery or receiving manual triggering signals,
+- determining whether or not the accident occurred needs emergency recovery,
+- receiving information about, or determining, the vehicle location,
+- sending minimum set of data (MSD) which is related to the accident and
+- providing bidirectional voice communication.
+
+AEDD can be any type of device equipped with sensors for shock detection and a GNSS receiver, which can be installed after the purchase of the vehicle, for example, a navigation system or dash cam. The AEDD falls into three categories in terms of data and voice communication capability with the AERC:
+
+- device without data and voice communication capability,
+- device with data communication capability only,
+- device with data and voice communication capability.
+
+For AEDD without data and voice communication capability or with data communication capability only, a cell phone is needed for providing voice communication between driver or passengers and AERC.
+
+AERC is a centre, managed by a public authority or a private organization, responsible for:
+
+- answering each automotive emergency response request,
+- confirming whether or not the accident occurred and
+- notifying the EA if the request reports an accident.
+
+AERC can have interfaces to legacy automotive emergency response systems such as a public safety answering point (PSAP) in the pan-European eCall.
+
+NOTE 1 – In the case of PSAP in the pan-European eCall, the AERS can be considered as a TPSP system of the pan-European eCall.
+
+NOTE 2 – Considering the features of aftermarket devices, the AERC is equipped with false alarms filtering functions.
+
+## **7 Requirements of the IoT-based automotive emergency response system**
+
+### **7.1 Automotive emergency detection device requirements**
+
+The following are the AEDD requirements for the AERS:
+
+- 1) Information collection requirements:
+ - AEDD is required to collect geographical location, geographical heading, accident-related time and acceleration information from vehicle sensors and/or internal sensors.
+ - AEDD is recommended to collect VIN, fuel type, the number of passengers, freight type, vehicle speed, vehicle orientation and wheel speeds from vehicle and/or internal sensors.
+- 2) Information processing and transmission requirements:
+ - AEDD is required to detect automotive accidents based on the collected sensor information.
+ - AEDD is required to generate and transmit an MSD to AERC if an accident is detected.
+ - AEDD is required to detect an accident, generate an MSD and transmit an MSD even when the main power source of the vehicle has been cut off.
+- 3) Voice call capability requirements:
+ - AEDD is required to have voice call capability to be connected to the AERC.
+ - AEDD is required to identify its phone number.
+- 4) User interface requirements:
+ - AEDD is required to have a user interface to test MSD transmission.
+ - AEDD is required to have a user interface to manually transmit an MSD to request emergency response.
+ - AEDD is required to have a user interface to cancel emergency response request.
+ - AEDD is required to have a user interface to notify its status, i.e., power source, network connection, sensor malfunction, AERC connectivity, etc.
+ - AEDD is required to have a user interface to notify user the emergency response request status.
+
+### **7.2 Automotive emergency response centre requirements**
+
+The following are the AERC requirements for the AERS:
+
+- 1) General operation requirements:
+ - AERC is required to have a capability to filter out false alarms before connecting AEDD with AERC.
+ - AERC is required to record emergency response request related time information such as MSD recipient time, voice call initiation time, voice call connection time and voice call termination time.
+ - AERC is recommended to display and manage the emergency response process from the time of MSD arrival to emergency response completion.
+ - AERC is required to be ready to receive MSDs from AEDD at all times.
+- 2) Information processing requirements:
+ - AERC is required to extract a call back phone number from the MSD and wait for a time period predefined by AERC for a cancel request message. If the cancel request message is not received, AERC shall initiate a voice call to the extracted call back phone number.
+ - AERC is required to present vehicle's location and heading on a map using information extracted from the MSD.
+
+- AERC is recommended to be able to define the severity of the accident using information extracted from the MSD.
+ - AERC is required to distinguish different accidents from multiple MSDs sent by the same AEDD.
+ - AERC is recommended to be able to identify the same accident from MSDs transmitted by multiple AEDDs.
+- 3) Information transmission requirements:
+- AERC is required to transmit an acknowledgement (ACK) to AEDD when an MSD is received.
+ - AERC is required to transmit an ACK to AEDD when a test MSD is received.
+ - AERC is required to notify EA if the call is not answered for a predefined duration.
+ - AERC is required to forward accident related information to EA.
+ - AERC is recommended to be able to collect and transfer additional information obtained during a voice call to EA.
+- 4) Requirements for personally identifiable information:
+- AERC is required to delete the MSD immediately in case EA response is not needed.
+ - AERC is required to encrypt personally identifiable information contained in the MSD when it is needed to be stored.
+
+## 8 Capability framework of the IoT-based automotive emergency response system
+
+Figure 3 shows the capability framework of the AERS.
+
+
+
+Figure 3: Capability framework of AERS. The diagram shows the interaction between the AEDD (Automotive Emergency Detection and Diagnosis) and the AERC (Automotive Emergency Response Center). The AEDD box contains components: Vehicle sensors (connected to SOS button, Vehicle status monitoring FE, and Internal sensors), Location FE, MSD generating FE, Voice call FE, and Audio device. The AERC box contains Proxy AERC FE, AERC FE, and EA. Data flow (solid lines) goes from Vehicle sensors to SOS button, Vehicle status monitoring FE, and Internal sensors; from Location FE to MSD generating FE; from MSD generating FE to AERC FE; and from Voice call FE to AERC FE. Voice flow (dashed lines) goes from SOS button to Proxy AERC FE, and from Voice call FE to Proxy AERC FE. The EA is connected to AERC FE. A legend at the bottom indicates '----- Voice' and '—— Data'. The identifier 'Y.4119(18)\_F03' is at the bottom right.
+
+**Figure 3 – Capability framework of AERS**
+
+- SOS button: enables manual EA response request.
+- Vehicle sensor: sensors such as collision sensor, accelerometer, airbag deployment sensor, etc., that are installed in the vehicle to be used in automotive accident detection for providing information needed for vehicle accident detection.
+- Internal sensor: sensor installed in or physically connected to AEDD to provide information for automotive accident detection.
+- Vehicle status monitoring functional entity (FE): obtains information from vehicle sensors to aid AEDD. On-board diagnostic system-II (OBD-II) scanner is an example of the implementation of this FE.
+
+- Location FE: obtains geographical location information of the vehicle using satellites or cellular network.
+- MSD generating FE: generates an MSD if AEDD detects automotive accidents or SOS button is pressed.
+- Voice call FE: receives a voice call from the proxy AERC FE or AERC FE.
+- Proxy AERC FE: receives an MSD from AEDD, confirms, including filtering out false alarms, whether an accident occurs or not by using the automated system (voice, text, etc.), forwards the MSD to AERC FE and transfers the call to AERC FE if EA dispatch is necessary.
+- AERC FE: finalizes the analysis of accident and requests EA dispatch if necessary.
+
+## 9 Automotive emergency response system workflows
+
+### 9.1 EA dispatch request
+
+Figure 4 shows the AERS workflow in case of the EA dispatch request.
+
+
+
+```
+
+sequenceDiagram
+ participant AEDD
+ participant User
+ participant Proxy AERC FE
+ participant AERC FE
+ participant EA
+
+ AEDD->>AEDD: 1. Critical sensors / SOS button
+ AEDD->>AEDD: 2. MSD
+ AEDD->>Proxy AERC FE: 3. MSD
+ Proxy AERC FE-->>AEDD: 4. Ack of receiving
+ AEDD->>User: 5. Confirm request
+ AEDD->>AEDD: 6. Time out
+ Proxy AERC FE->>Proxy AERC FE: 7. Time out
+ Proxy AERC FE->>AEDD: 8. Voice connection
+ User-->>Proxy AERC FE: 9. Talking (ARS)
+ Proxy AERC FE->>AERC FE: 10. MSD /call transfer
+ Proxy AERC FE->>Proxy AERC FE: 11. End of sequence
+ Proxy AERC FE-->>User: 12. Talking
+ AERC FE->>EA: 13. Dispatch
+ AEDD->>Proxy AERC FE: 14. Hangup
+ AEDD->>AEDD: 15. End of sequence
+ AERC FE->>AERC FE: 15. End of sequence
+
+```
+
+Y.4119(19)\_F04
+
+Sequence diagram showing the AERS workflow in case of an EA dispatch request. The participants are AEDD, User, Proxy AERC FE, AERC FE, and EA. The steps are: 1. Critical sensors / SOS button (AEDD self), 2. MSD (AEDD self), 3. MSD (AEDD to Proxy AERC FE), 4. Ack of receiving (Proxy AERC FE to AEDD), 5. Confirm request (AEDD to User, dashed), 6. Time out (AEDD self), 7. Time out (Proxy AERC FE self), 8. Voice connection (Proxy AERC FE to AEDD), 9. Talking (ARS) (User to Proxy AERC FE, dashed), 10. MSD /call transfer (Proxy AERC FE to AERC FE), 11. End of sequence (Proxy AERC FE self), 12. Talking (Proxy AERC FE to User, dashed), 13. Dispatch (AERC FE to EA), 14. Hangup (AEDD to Proxy AERC FE), 15. End of sequence (AEDD self and AERC FE self).
+
+**Figure 4 – AERS workflow in case of EA dispatch request**
+
+(Step 1–4) In case of accident detection or manual EA dispatch request, AEDD generates an MSD and transmits it to the proxy AERC FE repeatedly until ACK is received.
+
+(Step 5) AEDD notifies user accident detection event and asks for confirmation.
+
+(Step 6, 7) AEDD or proxy AERC FE automatically confirms accident if a user fails to confirm within the time out period.
+
+(Step 8, 9) Using the information in the MSD, the proxy AERC FE initiates call back using an automated system. If the call is not answered within the time out period, it confirms the accident.
+
+(Step 10, 11) Based on the accident confirmation, the proxy AERC FE forwards the MSD to AERC FE and transfers the call to AERC FE.
+
+(Step 12) AERC obtains additional information from the user to confirm the accident.
+
+(Step 13) If the accident is confirmed, AERC requests EA dispatch based on information in the MSD.
+
+(Step 14, 15) The call is terminated once EA dispatch arrival on the site is recognized.
+
+### 9.2 User cancellation using AEDD
+
+Figure 5 shows the AERS workflow in case of user cancellation using the AEDD.
+
+
+
+```
+
+sequenceDiagram
+ participant AEDD
+ participant User
+ participant Proxy AERC FE
+ participant AERC FE
+ participant EA
+
+ AEDD->>Proxy AERC FE: 1. Critical sensors / SOS button
+ AEDD->>Proxy AERC FE: 2. MSD
+ AEDD->>Proxy AERC FE: 3. MSD
+ Proxy AERC FE-->>AEDD: 4. Ack of receiving
+ AEDD->>User: 5. Confirm request
+ User->>Proxy AERC FE: 6. Cancel
+ User->>Proxy AERC FE: 7. Cancel
+ Proxy AERC FE-->>AEDD: 8. Ack of cancellation
+ AEDD->>Proxy AERC FE: 9. End of sequence
+ Proxy AERC FE->>Proxy AERC FE: 9. End of sequence
+
+ Note over Proxy AERC FE: Time out
+
+```
+
+Y.4119(19)\_F05
+
+Sequence diagram showing the AERS workflow in case of user cancellation using AEDD. The participants are AEDD, User, Proxy AERC FE, AERC FE, and EA. The sequence of events is: 1. Critical sensors / SOS button (AEDD to Proxy AERC FE), 2. MSD (AEDD to Proxy AERC FE), 3. MSD (AEDD to Proxy AERC FE), 4. Ack of receiving (Proxy AERC FE to AEDD), 5. Confirm request (AEDD to User), 6. Cancel (User to Proxy AERC FE), 7. Cancel (User to Proxy AERC FE), 8. Ack of cancellation (Proxy AERC FE to AEDD), 9. End of sequence (AEDD to Proxy AERC FE). A 'Time out' period is indicated between steps 6 and 8. The EA participant is present but has no messages.
+
+**Figure 5 – AERS workflow in case of user cancellation using AEDD**
+
+(Step 1–4) In case of accident detection or manual EA dispatch request, AEDD generates an MSD and transmits it to the proxy AERC FE repeatedly until ACK is received.
+
+(Step 5) AEDD notifies user accident detection event and asks for confirmation.
+
+(Step 6) A cancellation request is sent by the user.
+
+(Step 7, 8) AEDD forwards cancellation request to the proxy AERC FE repeatedly within the time out period until ACK is received.
+
+(Step 9) EA dispatch request is cancelled.
+
+### 9.3 Cancellation during proxy AERC FE confirmation
+
+Figure 6 shows the AERS workflow in case of the EA dispatch cancellation during the proxy AERC FE confirmation stage.
+
+
+
+```
+
+sequenceDiagram
+ participant AEDD
+ participant User
+ participant Proxy AERC FE
+ participant AERC FE
+ participant EA
+
+ AEDD->>AEDD: 1. Critical sensors
+ AEDD->>AEDD: 2. MSD
+ AEDD->>Proxy AERC FE: 3. MSD
+ Proxy AERC FE->>AEDD: 4. Ack of receiving
+ AEDD->>User: 5. Confirm request
+ AEDD->>AEDD: 6. Time out
+ Proxy AERC FE->>Proxy AERC FE: 7. Time out
+ Proxy AERC FE->>AEDD: 8. Voice connection
+ User->>Proxy AERC FE: 9. Talking (ARS)
+ AEDD->>Proxy AERC FE: 10. Hangup
+ AEDD->>AEDD: 11. End of sequence
+ Proxy AERC FE->>Proxy AERC FE: 11. End of sequence
+
+```
+
+Y.4119(19)\_F08
+
+Sequence diagram showing the AERS workflow in case of EA dispatch cancellation during proxy AERC FE confirmation stage. The diagram involves five participants: AEDD, User, Proxy AERC FE, AERC FE, and EA. The sequence of events is: 1. Critical sensors (AEDD), 2. MSD (AEDD), 3. MSD (AEDD to Proxy AERC FE), 4. Ack of receiving (Proxy AERC FE to AEDD), 5. Confirm request (AEDD to User, dashed), 6. Time out (AEDD), 7. Time out (Proxy AERC FE), 8. Voice connection (Proxy AERC FE to AEDD), 9. Talking (ARS) (User to Proxy AERC FE, dashed), 10. Hangup (AEDD to Proxy AERC FE), 11. End of sequence (AEDD and Proxy AERC FE).
+
+**Figure 6 – AERS workflow in case of EA dispatch cancellation during proxy AERC FE confirmation stage**
+
+(Step 1–4) In case of accident detection or manual EA dispatch request, AEDD generates an MSD and transmits it to the proxy AERC FE repeatedly until ACK is received.
+
+(Step 5) AEDD notifies user accident detection event and asks for confirmation.
+
+(Step 6, 7) AEDD or proxy AERC FE automatically confirms accident if the user fails to confirm within the time out period.
+
+(Step 8) Using the information in the MSD, the proxy AERC FE initiates call back using an automated system.
+
+(Step 9) Using the automated system, the proxy AERC FE requests the user to confirm the accident.
+
+(Step 10, 11) If cancelled in Step 9, EA dispatch request is cancelled.
+
+### **9.4 MSD transmission testing**
+
+Figure 7 shows the workflow in case of MSD transmission testing.
+
+
+
+```
+
+sequenceDiagram
+ participant AEDD
+ participant User
+ participant Proxy AERC FE
+ participant AERC FE
+ participant EA
+
+ AEDD->>Proxy AERC FE: 1. Test signal
+ AEDD->>Proxy AERC FE: 2. MSD
+ AEDD->>Proxy AERC FE: 3. MSD
+ Proxy AERC FE-->>AEDD: 4. Ack of receiving
+ Proxy AERC FE->>User: 5. Voice connection
+ Proxy AERC FE-->>User: 6. Talking (ARS)
+ User->>Proxy AERC FE: 7. Hangup
+ Proxy AERC FE->>AEDD: 8. End of sequence
+ AEDD->>AEDD: 8. End of sequence
+
+```
+
+Y.4119(19)\_F07
+
+Sequence diagram showing the AERS workflow in case of MSD transmission testing. The participants are AEDD, User, Proxy AERC FE, AERC FE, and EA. The steps are: 1. Test signal (AEDD to Proxy AERC FE), 2. MSD (AEDD to Proxy AERC FE), 3. MSD (AEDD to Proxy AERC FE), 4. Ack of receiving (Proxy AERC FE to AEDD), 5. Voice connection (Proxy AERC FE to User), 6. Talking (ARS) (dashed arrow from Proxy AERC FE to User), 7. Hangup (User to Proxy AERC FE), 8. End of sequence (Proxy AERC FE to AEDD).
+
+**Figure 7 – AERS workflow in case of MSD transmission testing**
+
+(Step 1–4) In case of MSD transmission testing, AEDD generates a test MSD and transmits it to the proxy AERC FE repeatedly until ACK is received.
+
+(Step 5, 6) Using the information in the MSD, the proxy AERC FE initiates call back using an automated system and notifies the user for successful MSD transmission testing.
+
+(Step 7, 8) MSD transmission testing is terminated.
+
+## Appendix I
+
+### Implementation examples
+
+(This appendix does not form an integral part of this Recommendation.)
+
+### I.1 AEDD without data and voice communication capabilities
+
+Figure I.1 shows an AERS implementation example with the AEDD, which could be a navigation system or a dash cam, using data communication and voice communication capabilities of the user's phone in the case of MSD transmission. The MSD generating FE should be able to obtain the call back numbers of the user's phone in the vehicle.
+
+
+
+```
+graph LR
+ subgraph AEDD [AEDD]
+ SOS[SOS button]
+ Location[Location FE]
+ MSD[MSD generating FE]
+ Internal[Internal sensors]
+ SOS --- MSD
+ Location --- MSD
+ Internal --- MSD
+ end
+ subgraph Phone [Phone]
+ Voice[Voice call FE]
+ Audio[Audio device]
+ Voice --- Audio
+ end
+ MSD --- Voice
+ Voice -.-> Proxy[Proxy AERC FE]
+ Proxy --- AERC[AERC FE]
+ AERC --- EA[EA]
+```
+
+Y.4119(18)\_Fl.1
+
+Figure I.1: AERS implementation example for AEDD without data and voice communication capabilities. The diagram shows a 'Dash cam/navigation system' (AEDD) containing an 'SOS button', 'Location FE', 'MSD generating FE', and 'Internal sensors'. The 'MSD generating FE' is connected to a 'Phone' (Voice call FE) which is connected to an 'Audio device'. The 'Voice call FE' is connected to a 'Proxy AERC FE', which is connected to an 'AERC FE', which is connected to an 'EA'. The 'MSD generating FE' is also connected to the 'Proxy AERC FE'.
+
+**Figure I.1 – AERS implementation example for AEDD without data and voice communication capabilities**
+
+### I.2 AEDD with data communication capability
+
+Figure I.2 shows an AERS implementation example with the AEDD, which could be a navigation system or a dash cam, using its data communication modem and using the user's phone for voice communications. The MSD generating FE should be able to obtain the call back numbers of the user's phone in the vehicle.
+
+
+
+The diagram illustrates the AERS implementation for AEDD with data communication capability. It is divided into three main sections: the 'Dash cam/navigation system', the 'Phone', and the external network components. The 'Dash cam/navigation system' includes an 'SOS button', 'Location FE', 'MSD generating FE', and 'Internal sensors'. The 'Phone' includes a 'Voice call FE' and an 'Audio device'. A 'modem' is shown as a small red box. The 'Dash cam/navigation system' is connected to the 'Phone' via the 'modem'. The 'Phone' is connected to a 'Proxy AERC FE', which is connected to an 'AERC FE', which is connected to an 'EA'. The entire system is labeled 'AEDD'.
+
+Y.4119(18)\_Fl.2
+
+Figure I.2: AERS implementation example for AEDD with data communication capability. The diagram shows a 'Dash cam/navigation system' (containing SOS button, Location FE, MSD generating FE, and Internal sensors) connected to a 'Phone' (containing Voice call FE and Audio device) via a 'modem'. The 'Phone' is connected to a 'Proxy AERC FE', which is connected to an 'AERC FE', which is connected to an 'EA'. The entire system is labeled 'AEDD'.
+
+**Figure I.2 – AERS implementation example for AEDD with data communication capability**
+
+### I.3 AEDD with data and voice communication capabilities
+
+Figure I.3 indicates an AERS implementation example with the AEDD, which could be a navigation system or a dash cam, using its modem having data and voice communication capabilities.
+
+
+
+The diagram illustrates the AERS implementation for AEDD with data and voice communication capabilities. It is divided into three main sections: the 'Dash cam/navigation system', the 'Phone', and the external network components. The 'Dash cam/navigation system' includes an 'SOS button', 'Location FE', 'MSD generating FE', and 'Internal sensors'. The 'Phone' includes a 'Voice call FE' and an 'Audio device'. A 'modem' is shown as a small red box. The 'Dash cam/navigation system' is connected to the 'Phone' via the 'modem'. The 'Phone' is connected to a 'Proxy AERC FE', which is connected to an 'AERC FE', which is connected to an 'EA'. The entire system is labeled 'AEDD'.
+
+Y.4119(18)\_Fl.3
+
+Figure I.3: AERS implementation example for AEDD with data and voice communication capabilities. The diagram shows a 'Dash cam/navigation system' (containing SOS button, Location FE, MSD generating FE, and Internal sensors) connected to a 'Phone' (containing Voice call FE and Audio device) via a 'modem'. The 'Phone' is connected to a 'Proxy AERC FE', which is connected to an 'AERC FE', which is connected to an 'EA'. The entire system is labeled 'AEDD'.
+
+**Figure I.3 – AERS implementation example for AEDD with data and voice communication capabilities**
+
+## Bibliography
+
+- [b-CEN EN 16072] BS EN 16072 (2015), *Intelligent transport systems – ESafety – Pan-European eCall operating requirements*.
+
+- [b-CEN EN 16102] CEN EN 16102 (2011), *Intelligent transport systems – eCall – Operating requirements for third party support*.
+
+- [b-ISO 3779] ISO 3779 (2009), *Road vehicles – Vehicle identification number (VIN) – Content and structure*.
+
+- [b-WHO GSR RS] *Global Status Report on Road Safety 2015*.
+[www.who.int/violence\\_injury\\_prevention/road\\_safety\\_status/2015/en/](http://www.who.int/violence_injury_prevention/road_safety_status/2015/en/)
+
+
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+# ITU-T
+
+TELECOMMUNICATION
+STANDARDIZATION SECTOR
+OF ITU
+
+# Y.4214
+
+(02/2022)
+
+SERIES Y: GLOBAL INFORMATION
+INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS,
+NEXT-GENERATION NETWORKS, INTERNET OF
+THINGS AND SMART CITIES
+
+Internet of things and smart cities and communities –
+Requirements and use cases
+
+# --- **Requirements of Internet of things based civil engineering infrastructure health monitoring systems**
+
+Recommendation ITU-T Y.4214
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+## GLOBAL INFORMATION INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS, NEXT-GENERATION NETWORKS, INTERNET OF THINGS AND SMART CITIES
+
+## GLOBAL INFORMATION INFRASTRUCTURE
+
+| | |
+|-------------------------------------------|-------------|
+| General | Y.100–Y.199 |
+| Services, applications and middleware | Y.200–Y.299 |
+| Network aspects | Y.300–Y.399 |
+| Interfaces and protocols | Y.400–Y.499 |
+| Numbering, addressing and naming | Y.500–Y.599 |
+| Operation, administration and maintenance | Y.600–Y.699 |
+| Security | Y.700–Y.799 |
+| Performances | Y.800–Y.899 |
+
+## INTERNET PROTOCOL ASPECTS
+
+| | |
+|--------------------------------------------------------------------|---------------|
+| General | Y.1000–Y.1099 |
+| Services and applications | Y.1100–Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200–Y.1299 |
+| Transport | Y.1300–Y.1399 |
+| Interworking | Y.1400–Y.1499 |
+| Quality of service and network performance | Y.1500–Y.1599 |
+| Signalling | Y.1600–Y.1699 |
+| Operation, administration and maintenance | Y.1700–Y.1799 |
+| Charging | Y.1800–Y.1899 |
+| IPTV over NGN | Y.1900–Y.1999 |
+
+## NEXT GENERATION NETWORKS
+
+| | |
+|-------------------------------------------------------------------|---------------|
+| Frameworks and functional architecture models | Y.2000–Y.2099 |
+| Quality of Service and performance | Y.2100–Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200–Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250–Y.2299 |
+| Enhancements to NGN | Y.2300–Y.2399 |
+| Network management | Y.2400–Y.2499 |
+| Computing power networks | Y.2500–Y.2599 |
+| Packet-based Networks | Y.2600–Y.2699 |
+| Security | Y.2700–Y.2799 |
+| Generalized mobility | Y.2800–Y.2899 |
+| Carrier grade open environment | Y.2900–Y.2999 |
+
+## FUTURE NETWORKS
+
+| | |
+|-----------------|---------------|
+| CLOUD COMPUTING | Y.3500–Y.3599 |
+|-----------------|---------------|
+
+### BIG DATA
+
+| | |
+|-----------------------------------|---------------|
+| QUANTUM KEY DISTRIBUTION NETWORKS | Y.3800–Y.3999 |
+|-----------------------------------|---------------|
+
+## INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES
+
+| | |
+|---------------------------------------------------------|----------------------|
+| General | Y.4000–Y.4049 |
+| Definitions and terminologies | Y.4050–Y.4099 |
+| Requirements and use cases | Y.4100–Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250–Y.4399 |
+| Frameworks, architectures and protocols | Y.4400–Y.4549 |
+| Services, applications, computation and data processing | Y.4550–Y.4699 |
+| Management, control and performance | Y.4700–Y.4799 |
+| Identification and security | Y.4800–Y.4899 |
+| Evaluation and assessment | Y.4900–Y.4999 |
+
+For further details, please refer to the list of ITU-T Recommendations.
+
+# Recommendation ITU-T Y.4214
+
+# Requirements of Internet of things based civil engineering infrastructure health monitoring systems
+
+## Summary
+
+Monitoring the safety and integrity of civil engineering infrastructures using objective data collected from the infrastructures themselves with Internet of things (IoT) capabilities is an effective means to supplement inspection and diagnosis for advanced and efficient maintenance work on civil engineering infrastructures. In this Recommendation, an IoT-based system for this purpose is called a civil engineering infrastructure health monitoring system.
+
+Recommendation ITU-T Y.4214 describes the requirements specific to the IoT-based civil engineering infrastructure health monitoring system for the purpose of maintaining civil engineering infrastructures.
+
+## History
+
+| Edition | Recommendation | Approval | Study Group | Unique ID* |
+|---------|----------------|------------|-------------|---------------------------------------------------------------------------|
+| 1.0 | ITU-T Y.4214 | 2022-02-03 | 20 | 11.1002/1000/14824 |
+
+## Keywords
+
+Civil engineering infrastructure, infrastructure health monitoring, Internet of things, IoT.
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID. For example, .
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents/software copyrights, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the appropriate ITU-T databases available via the ITU-T website at .
+
+© ITU 2022
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | Page |
+|--------------------------------------------------------------------------------------------------------------------------|-------------|
+| 1 Scope ..... | 1 |
+| 2 Reference ..... | 1 |
+| 3 Definitions ..... | 1 |
+| 3.1 Terms defined elsewhere ..... | 1 |
+| 3.2 Terms defined in this Recommendation ..... | 2 |
+| 4 Abbreviations and acronyms ..... | 2 |
+| 5 Conventions ..... | 2 |
+| 6 Overview of IoT-based civil engineering infrastructure health monitoring system ..... | 2 |
+| 6.1 Necessity of IoT-based civil engineering infrastructure health monitoring ... | 2 |
+| 6.2 Reference model of IoT-based civil engineering infrastructure health
monitoring system and associated sites ..... | 3 |
+| 7 Requirements of IoT-based civil engineering infrastructure health monitoring
system ..... | 6 |
+| 7.1 Generic requirements ..... | 6 |
+| 7.2 Sensor device requirements ..... | 7 |
+| 7.3 Gateway device requirements ..... | 7 |
+| 7.4 Monitoring platform requirements ..... | 8 |
+| 7.5 Network requirements ..... | 8 |
+| Appendix I – Use cases of IoT-based civil engineering infrastructure health monitoring ..... | 9 |
+| Bibliography ..... | 14 |
+
+
+
+# Recommendation ITU-T Y.4214
+
+## Requirements of Internet of things based civil engineering infrastructure health monitoring systems
+
+# 1 Scope
+
+The term "civil infrastructure" is used to refer to an artificially constructed structure built to support human activities in cities and communities. The term "civil engineering infrastructure" used in this Recommendation specifically refers to the large-scale structures that make up roads, bridges and tunnels.
+
+The maintenance of civil engineering infrastructures is mainly based on periodic visual inspections and diagnoses by specialists to maintain the safety and integrity of the infrastructure. These specialists need a high degree of experience and technical know-how, as maintenance requires relevant human resource allocation and specific education and qualifications. Utilization of objective data collected from the civil engineering infrastructure using Internet of things (IoT) capabilities leads to advanced and more efficient maintenance, while enhancing and rationalizing the human inspections and diagnostic work. In this Recommendation, an IoT-based system for this purpose is called a civil engineering infrastructure health monitoring system.
+
+This Recommendation addresses IoT-based civil engineering infrastructure health monitoring systems specifying the following:
+
+- A reference model of IoT-based civil engineering infrastructure health monitoring systems;
+- Requirements specific to IoT-based civil engineering infrastructure health monitoring systems.
+
+# 2 Reference
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+- [ITU-T Y.4000] Recommendation ITU-T Y.4000/Y.2060 (2012), *Overview of the Internet of things*.
+- [ITU-T Y.4100] Recommendation ITU-T Y.4100/Y.2066 (2014), *Common requirements of the Internet of things*.
+- [ITU-T Y.4113] Recommendation ITU-T Y.4113 (2016), *Requirements of the network for the Internet of things*.
+
+# 3 Definitions
+
+## 3.1 Terms defined elsewhere
+
+This Recommendation uses the following terms defined elsewhere:
+
+**3.1.1 Internet of things (IoT)** [ITU-T Y.4000]: A global infrastructure for the information society, enabling advanced services by interconnecting (physical and virtual) things based on existing and evolving interoperable information and communication technologies.
+
+NOTE 1 – Through the exploitation of identification, data capture, processing and communication capabilities, the IoT makes full use of things to offer services to all kinds of applications, whilst ensuring that security and privacy requirements are fulfilled.
+
+NOTE 2 – From a broader perspective, the IoT can be perceived as a vision with technological and societal implications.
+
+**3.1.2 IoT area network** [ITU-T Y.4113]: A network of devices for the IoT and gateways interconnected through local connections.
+
+NOTE – This definition is based on "Overview of the Internet of things" [ITU-T Y.4000], where clause 6.2 states "devices can communicate with other devices using direct communication through a local network (i.e., a network providing local connectivity between devices and between devices and a gateway, such as an ad-hoc network)".
+
+## **3.2 Terms defined in this Recommendation**
+
+None.
+
+# **4 Abbreviations and acronyms**
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|------|------------------------------|
+| 3D | Three Dimensions |
+| IAN | IoT Area Network |
+| IoT | Internet of Things |
+| SC&C | Smart Cities and Communities |
+| WAN | Wide Area Network |
+
+# **5 Conventions**
+
+In this Recommendation:
+
+The keywords "is required to" indicate a requirement which must be strictly followed and from which no deviation is permitted if conformance to this document is to be claimed.
+
+The keywords "is recommended" indicate a requirement which is recommended but which is not absolutely required. Thus, this requirement need not be present to claim conformance.
+
+The keywords "can optionally" and "may" indicate an optional requirement which is permissible, without implying any sense of being recommended. These terms are not intended to imply that the vendor's implementation must provide the option and the feature can be optionally enabled by the network operator. Rather, it means the vendor may optionally provide the feature and still claim conformance with the specification.
+
+# **6 Overview of IoT-based civil engineering infrastructure health monitoring system**
+
+## **6.1 Necessity of IoT-based civil engineering infrastructure health monitoring**
+
+The maintenance of civil engineering infrastructures is mainly based on periodic visual inspections and diagnoses made by specialists. If any deterioration or damage is found during the inspections, proper diagnoses and appropriate measures are taken to keep the infrastructure sound and minimize the cost of maintenance. This requires a high degree of experience and technical know-how and requires allocating and training human resources.
+
+Civil engineering infrastructure health monitoring is the act of measuring the state of these infrastructures, acquiring and comparing the data to understand the occurrence and progress of deterioration over time. IoT-based civil engineering infrastructure health monitoring is an effective
+
+means to obtain the information necessary for the inspection and diagnosis of infrastructures, and it is expected that streamlining for infrastructure maintenance and management work would be a method to supplement inspection and investigation work.
+
+## 6.2 Reference model of IoT-based civil engineering infrastructure health monitoring system and associated sites
+
+The IoT-based civil engineering infrastructure health monitoring system (hereafter "the system") collects, accumulates and processes objective data on civil engineering infrastructures subject to health monitoring, and provides the data to applications that support the maintenance and operation of the infrastructure. The system has two specific characteristics compared with other IoT systems.
+
+The first characteristic is that the data measured by a sensor alone is meaningless unless the information of the structure being monitored is associated with the measured data. The second characteristic is that civil engineering infrastructures are operated over a very long term, usually up to several decades. During this long-term operation, the system is required to accumulate data continuously.
+
+A reference model of the IoT-based civil engineering infrastructure health monitoring system and associated sites is shown in Figure 1.
+
+
+
+Figure 1: Reference model of the IoT-based civil engineering infrastructure health monitoring system and associated sites. The diagram is organized into three horizontal sections separated by solid lines. The top section, labeled 'Storage and utilization site' on the left, contains a box labeled 'Applications' under the heading 'Reference model'. The middle section, labeled 'Monitoring site' on the left, contains a dashed-line box labeled 'IoT-based civil engineering infrastructure health monitoring system' which includes a 'Monitoring platform' box. Below this is a cloud shape labeled 'Wide area network (WAN)'. The bottom section, labeled 'Sensing site' on the left, contains a 'Gateway device' box, followed by another dashed-line box containing an 'IoT area network (IAN)' cloud and a 'Sensor device' box. At the very bottom is a box labeled 'Civil engineering infrastructure'. The label 'Y.4214(22)' is at the bottom right of the diagram.
+
+**Figure 1 – Reference model of the IoT-based civil engineering infrastructure health monitoring system and associated sites**
+
+#### 6.2.1 Reference model
+
+The reference model of the IoT-based civil engineering infrastructure health monitoring system is composed of five components, a sensor device, gateway device, monitoring platform and the networks connecting these components, i.e., the IoT area network (IAN) and the wide area network (WAN). The dotted line shown in Figure 1 demarcates the reference model of the IoT-based civil
+
+engineering infrastructure health monitoring system. Civil engineering infrastructure(s) and applications are outside the system.
+
+- Civil engineering infrastructure: Represents large-scale structures such as roads, bridges and tunnels that are subject to health monitoring.
+- Sensor device: Represents a device that measures health monitoring indicators (including original data that can be converted into indicators). The sensor device is not only a sensor but also includes assisting devices for communication, temporary storage of data, data processing, and position measurement (e.g., a physical marker or a laser irradiation equipment for calculating an absolute position from a relative position in image data).
+- Gateway device: Represents a communication device that aggregates the data measured by one or more sensor devices and transmits them to the monitoring platform. A gateway device is not always permanently at the sensing site. There are cases where a vehicle with a gateway device patrols the sensing site, and cases where the inspector hand-carries the data temporarily stored in the sensor device offline.
+- Monitoring platform: Represents servers that accumulate the data measured at the sensing site, search and display the accumulated data, perform simple alert detection such as threshold crossing and convert this to data that can be analysed by applications.
+- Applications: Represents servers that compare/analyse data collected in chronological order at a sensing site based on available reference data (e.g., data collected at other sensing sites under similar conditions) to predict deterioration and/or to evaluate the repair method.
+
+NOTE – Digital twin technology may be used to support these goals.
+
+- IAN: Represents a network composed of a gateway device and multiple sensor devices. Which technology is used for transmission within the IAN is outside the scope of this Recommendation.
+- WAN: Represents a network for transmitting the data measured at the sensing site to the monitoring site. Which technology is used for transmission within the WAN is outside the scope of this Recommendation.
+
+This reference model complies with the IoT basic model specified in [ITU-T Y.4113]. The sensor device, gateway device, monitoring platform, applications and WAN in this Recommendation can be mapped to the device, gateway, IoT platform, IoT application server and the combination of core and access network in [ITU-T Y.4113].
+
+#### **6.2.2 Sites associated with the reference model**
+
+The locations of operative responsibility for a part of the system are called "sites" and can be categorized into the following three types: the sensing site, monitoring site and storage and utilization site.
+
+- Sensing site: This manages one or more parts of the civil engineering infrastructure(s) and measures objective data for infrastructure health monitoring by sensor devices. It transmits measured data as appropriate to a corresponding monitoring site. A sensing site has one or more civil engineering infrastructures under its control. Figure 2 shows the aggregation relationship between a sensing site and the civil engineering infrastructure.
+
+
+
+**A sensing site has one or more civil engineering infrastructures**
+
+```
+
+graph TD
+ SS[Sensing site] --- CEI[Civil engineering infrastructure]
+ style CEI fill:none,stroke:none
+ subgraph Stack
+ CEI1[ ]
+ CEI2[ ]
+ CEI3[ ]
+ end
+ style Stack fill:none,stroke:none
+
+```
+
+Y.4214(22)
+
+Diagram showing an aggregation relationship between a Sensing site and Civil engineering infrastructure. A box labeled 'Sensing site' is connected by a vertical line to a stack of three boxes labeled 'Civil engineering infrastructure'. The stack is indicated by overlapping rectangles. The reference 'Y.4214(22)' is at the bottom right.
+
+**Figure 2 – Aggregation relationship between sensing site and civil engineering infrastructure**
+
+- Monitoring site: This administers one or more sensing sites and maintains the parts of infrastructures subject to monitoring. A monitoring site has one or more sensing sites under its observation. Figure 3 shows the aggregation relationship between the monitoring site and sensing site.
+
+
+
+**A monitoring site has one or more sensing sites**
+
+```
+
+graph TD
+ MS[Monitoring site] --- SS[Sensing site]
+ style SS fill:none,stroke:none
+ subgraph Stack
+ SS1[ ]
+ SS2[ ]
+ SS3[ ]
+ end
+ style Stack fill:none,stroke:none
+
+```
+
+Y.4214(22)
+
+Diagram showing an aggregation relationship between a Monitoring site and Sensing site. A box labeled 'Monitoring site' is connected by a vertical line to a stack of three boxes labeled 'Sensing site'. The stack is indicated by overlapping rectangles. The reference 'Y.4214(22)' is at the bottom right.
+
+**Figure 3 – Aggregation relationship between monitoring site and sensing site**
+
+- Storage and utilization site: This provides the data to applications and ensures long-term storage of the data as appropriate. A storage and utilization site collects data from one or more monitoring sites under its control. A monitoring site may not be required to be connected to any storage and utilization site (e.g., when functionalities implemented in the monitoring site are sufficient for users) or can be referred from one or more storage and utilization sites. Figure 4 shows the aggregation relationship between a storage and utilization site and monitoring sites.
+
+
+
+(1) A storage and utilization site has one or more monitoring sites
+
+(2) A monitoring site is not connected to any storage and utilization site
+
+(3) A monitoring site can be referred from one or more storage and utilization sites
+
+Y.4214(22)
+
+Figure 4: Aggregation relationship between storage and utilization site and monitoring sites. The diagram shows three scenarios: (1) A storage and utilization site connected to multiple monitoring sites. (2) A monitoring site not connected to any storage and utilization site. (3) A monitoring site connected to multiple storage and utilization sites.
+
+**Figure 4 – Aggregation relationship between storage and utilization site and monitoring sites**
+
+# 7 Requirements of IoT-based civil engineering infrastructure health monitoring system
+
+High-level requirements of IoT are identified in [ITU-T Y.4000]. Common requirements of IoT are identified in [ITU-T Y.4100]. Requirements of the network for the IoT are identified in [ITU-T Y.4113].
+
+In this Recommendation, requirements specific to the IoT-based civil engineering infrastructure health monitoring system are identified.
+
+## 7.1 Generic requirements
+
+### 7.1.1 Long-term operation
+
+- It is recommended that the system be designed for long-term use.
+NOTE – Civil engineering infrastructures such as roads, bridges and tunnels have been used for more than 50 years, and it is recommended that the operational life of the monitoring system also be significantly longer than general IoT systems.
+- It is recommended that the semantics of data not depend on a particular technology, a platform architecture, a manufacturer, etc.
+- Data continuity is required to be maintained in the case of replacements or model changes of sensor devices during the operational period.
+
+#### 7.1.2 Measured data
+
+- The system is required to have features to collect and store data used for infrastructure health monitoring, such as length, frequency, tilt angle, brightness, infrared, radiation, image, voice, weather data, etc.
+- The system is required to collect and store not only the raw data collected by the sensor device but also the processed data calculated or converted from the raw data by the sensor device, the gateway device or the monitoring platform.
+- The data measured for the same purpose is required to be handled in the same way even if the measuring method is different. There are various methods for measuring data used in health monitoring, but the data measured by any method should be handled as (or converted to) the same data. For example, the displacement can be measured by using a displacement gauge or calculating from a laser, an image, an accelerometer, etc. This equipment should produce the same type of data using the same measurement units and with the same precision.
+
+- The measured data is required to be handled in the same way even if the transmission technology or platform technology is different. Data should be handled in the same way whether the sensor device installed at the sensing site sends data to the monitoring platform via a network or a storage medium containing data is manually carried.
+- The system is required to associate data sets as related to the same event if the target data is composed of data elements measured by multiple devices. For example, in the case of using an auxiliary device to specify relative position information when installing a sensor device, relationship information between the device and the position should be stored.
+
+#### **7.1.3 Information model**
+
+- The specifications of the information model used for processing and storing data are recommended to be followed, in order to enable data continuity and data sharing with the applications or different systems.
+
+NOTE – The information model used is not specified in this Recommendation, and the data formats and communication protocols are left to the implementation of each system.
+
+#### **7.1.4 Location and installation**
+
+- The system is required to record installation information, such as the position, direction and installation method of the sensor device.
+- The system is required to record the association between a sensor device and an element of civil engineering infrastructure.
+- It is recommended that the system record the association between a sensor device and an element of civil engineering infrastructure by using the 3D model representation created during the construction of the civil engineering infrastructure.
+
+## **7.2 Sensor device requirements**
+
+- The sensor device is required to measure data used for health monitoring. For example, data used for infrastructure monitoring is commonly classified as the following types:
+ - Physical quantity: length, frequency, tilt angle, etc.
+ - Electromagnetic quantity: brightness, image, infrared, radiation, etc.
+ - Electrical quantity: current, voltage, etc.
+ - Media data: voice, image, video, etc.
+- The sensor device can optionally have features for communication, temporary data storing, data processing and primary analysis such as conversion of sensor data.
+
+NOTE – The sensor device may implement all the above features in one or more physical devices.
+
+## **7.3 Gateway device requirements**
+
+- The gateway device is required to aggregate data measured by the sensor device installed at the sensing site via the IAN and is required to transmit these data to the monitoring platform via the WAN.
+
+NOTE 1 – The gateway device may not be used if the sensor device communicates directly with the WAN or if the data temporarily stored in the sensor device are collected manually.
+
+- The gateway device is required to receive instructions from the monitoring platform and is required to perform management of the IAN and the sensor devices.
+- The gateway device can optionally have mobility features.
+
+NOTE 2 – The gateway device is generally installed in a fixed location at a sensing site. However, it may be moved to other locations in some scenarios, e.g., when it moves across sensing sites via a vehicle which patrols the sensing sites.
+
+- The gateway device can optionally have features for temporary data storing, data processing and primary analysis such as conversion of sensor data.
+
+## **7.4 Monitoring platform requirements**
+
+- The monitoring platform is required to have a feature to store data in a specified format.
+- The monitoring platform is required to have a feature to search data by any key.
+- The monitoring platform can optionally have a feature to view data on a display or on paper in a human-readable format such as graphs or tables.
+- The monitoring platform is required to manage the sensor device, the gateway device and the IAN in the sensing site and is required to send instructions to the gateway device and/or notifications to the administrator as needed.
+- The monitoring platform can optionally have features to perform simple alert detection such as exceeding a specific threshold and notifying the administrator.
+- The monitoring platform can optionally have features to convert the data collected at the sensing site into a specific format that can be analysed by the application.
+
+## **7.5 Network requirements**
+
+- The IAN and the WAN are required to provide the functions needed by the system and operate in a reliable way.
+
+NOTE – The IAN and the WAN may be a private network, a public network or a combination of both.
+
+## Appendix I
+
+### Use cases of IoT-based civil engineering infrastructure health monitoring
+
+(This appendix does not form an integral part of this Recommendation.)
+
+Clause 8.9 of [b-ITU-T Y-Sup56] introduces the following four examples of civil engineering infrastructure health monitoring as smart cities and communities (SC&C) use cases.
+
+- 1) Crack monitoring with camera images;
+- 2) Crack monitoring with a displacement meter;
+- 3) Crack or strain monitoring with optical fibres;
+- 4) Deformation monitoring with accelerometers.
+
+This appendix shows system configuration examples when the reference model in this Recommendation is applied to these use cases.
+
+- 1) Crack monitoring with camera images
+
+In crack monitoring using camera images, the bottom surface of the floor slab of the road is captured from the ground under the bridge with a camera, and the state of crack(s) on the bottom surface of the floor slab is recorded. The system can monitor the progress of cracks and evaluate the damage status by comparing multiple shots taken at intervals.
+
+- A digital camera is used as the sensor device to capture a picture of the bottom of the road floor slab from the ground under the bridge.
+- Since the size of the crack is very small compared with the civil engineering infrastructure, dozens or hundreds of images are taken for one infrastructure element.
+- Each captured image contains distortion and must be converted to an orthographic projection image for quantitative monitoring. Auxiliary devices such as physical markers, structural feature points and laser irradiators are used as reference points for this conversion. These auxiliary devices are handled as sensor devices.
+- The monitoring platform proceeds to apply the orthographic projection conversion to each captured image as described above, and merges these overlapping images into a single image.
+- The monitoring platform reads and stores the shape and width of the crack from the merged image of the bottom of the floor slab.
+- The application can utilize and analyse the crack information stored in the monitoring platform to detect damage, calculate the degree of damage, predict future damage progress and share data with other systems.
+
+Figure I.1 illustrates crack monitoring with camera images.
+
+
+
+The diagram illustrates a three-tier architecture for crack monitoring with camera images:
+
+- Storage and utilization site:** Contains 'Applications' (under 'Reference model') and processing blocks for 'Damage detection', 'Damage level calculation', 'Deterioration prediction', and 'Data sharing' (under 'Crack monitoring with camera images').
+- Monitoring site:** Features a 'Monitoring platform' and a flow from 'Image regularization' to 'Crack recognition'.
+- Sensing site:** Includes a 'Gateway device', an 'IoT area network (IAN)', and a 'Sensor device'. A 'Wide area network (WAN)' connects the monitoring and sensing sites.
+- Infrastructure:** The sensor device is linked to a 'Camera' and a 'Marker/laser projector'.
+
+Dashed lines indicate data flow between the processing blocks and the monitoring/sensing components.
+
+Y.4214(22)
+
+Figure I.1 – Crack monitoring with camera images. This diagram illustrates a three-tier architecture for crack monitoring. The top tier, 'Storage and utilization site', contains 'Applications' (under 'Reference model') and processing blocks for 'Damage detection', 'Damage level calculation', 'Deterioration prediction', and 'Data sharing' (under 'Crack monitoring with camera images'). The middle tier, 'Monitoring site', features a 'Monitoring platform' and a flow from 'Image regularization' to 'Crack recognition'. The bottom tier, 'Sensing site', includes a 'Gateway device', an 'IoT area network (IAN)', and a 'Sensor device'. A 'Wide area network (WAN)' connects the monitoring and sensing sites. The sensor device is linked to a 'Camera' and a 'Marker/laser projector' at the infrastructure level. Dashed lines indicate data flow between the processing blocks and the monitoring/sensing components.
+
+**Figure I.1 – Crack monitoring with camera images**
+
+### 2) Crack monitoring with a displacement meter
+
+Crack monitoring with a displacement meter measures the displacement between the floor slab where damage is found, and the immovable beam installed under the bridge. This monitoring indicates the damage state of the floor slab by determining the threshold to prevent accidents.
+
+- A displacement meter is used as the sensor device to measure the displacement between the floor slab and the immovable beam.
+- The monitoring platform can store time-series displacement data and alert when displacement exceeds a certain threshold. To detect changes in structural performance, the monitoring platform may perform natural frequency analysis from the displacement data.
+- The application can utilize and analyse the displacement data stored in the monitoring platform to predict future damage progress, determine alert thresholds and share data with other systems.
+
+Figure I.2 illustrates crack monitoring with a displacement meter.
+
+
+
+**Sites Reference model Crack monitoring with a displacement meter**
+
+The diagram illustrates the architecture of a crack monitoring system across three sites: Storage and utilization site, Monitoring site, and Sensing site.
+
+- Storage and utilization site:** Contains Applications, Threshold determination, Deterioration prediction, and Data sharing.
+- Monitoring site:** Contains a Monitoring platform (within an IoT-based civil engineering infrastructure health monitoring system), Threshold exceed alert, and Natural frequency analysis (Optional).
+- Sensing site:** Contains a Gateway device, IoT area network (IAN), Sensor device, and Civil engineering infrastructure.
+
+A Wide area network (WAN) connects the Monitoring site and Sensing site. A Gateway connects the Sensing site to the Monitoring site. A Displacement meter is connected to the Gateway.
+
+Y.4214(22)
+
+Figure I.2 – Crack monitoring with a displacement meter. This diagram illustrates the architecture of a crack monitoring system across three sites: Storage and utilization site, Monitoring site, and Sensing site. The Storage and utilization site contains Applications, Threshold determination, Deterioration prediction, and Data sharing. The Monitoring site contains a Monitoring platform (part of an IoT-based civil engineering infrastructure health monitoring system), Threshold exceed alert, and Natural frequency analysis (Optional). The Sensing site contains a Gateway device, IoT area network (IAN), Sensor device, and Civil engineering infrastructure. A Wide area network (WAN) connects the Monitoring site and Sensing site. A Gateway connects the Sensing site to the Monitoring site. A Displacement meter is connected to the Gateway. Dashed lines show vertical logical connections between the functional blocks across the different sites.
+
+**Figure I.2 – Crack monitoring with a displacement meter**
+
+### 3) Crack or strain monitoring with optical fibres
+
+Crack or strain monitoring with optical fibres detects deterioration and distortion from changes in the transmitted light amount measured by optical fibres comprehensively installed on the underside of the floor slab.
+
+- The sensor device is an optical measuring device that transmits pulses of light over an optical fibre at regular intervals to measure the diffuse reflection return time.
+- The monitoring platform converts the measurement results to physical quantities (displacement, strain, etc.) and stores the data.
+- The application can utilize and analyse the data stored in the monitoring platform to predict future damage progress, determine alert thresholds and share data with other systems.
+
+Figure I.3 illustrates crack or strain monitoring with optical fibres.
+
+
+
+The diagram illustrates the architecture of a monitoring system across three sites: Storage and utilization site, Monitoring site, and Sensing site.
+
+- Storage and utilization site:** Contains Applications, Threshold determination, Deterioration prediction, and Data sharing.
+- Monitoring site:** Contains a Monitoring platform and Physical quantity conversion.
+- Sensing site:** Contains a Gateway device, IoT area network (IAN), Sensor device, and Civil engineering infrastructure.
+
+A Wide area network (WAN) connects the Monitoring and Sensing sites. A Gateway connects the Sensing site to the Monitoring site. Optical fibre and Measurement equipment are connected to the Gateway.
+
+Y.4214(22)
+
+Figure I.3 – Crack or strain monitoring with optical fibres. This diagram illustrates the architecture of a monitoring system across three sites: Storage and utilization site, Monitoring site, and Sensing site. The Storage and utilization site contains Applications, Threshold determination, Deterioration prediction, and Data sharing. The Monitoring site contains a Monitoring platform and Physical quantity conversion. The Sensing site contains a Gateway device, IoT area network (IAN), Sensor device, and Civil engineering infrastructure. A Wide area network (WAN) connects the Monitoring and Sensing sites. A Gateway connects the Sensing site to the Monitoring site. Optical fibre and Measurement equipment are connected to the Gateway.
+
+**Figure I.3 – Crack or strain monitoring with optical fibres**
+
+### 4) Deformation monitoring with accelerometers
+
+Deformation monitoring with accelerometers monitors changes in structural performance by the natural frequency or vibration mode of the structure measured by accelerometers installed in the structure.
+
+- One or more accelerometers are used as the sensor device.
+- The monitoring platform analyses the acceleration data measured by the accelerometer and performs natural frequency analysis or vibration mode analysis.
+- The application can utilize and analyse the data stored in the monitoring platform, predict future damage progress and share data with other systems.
+
+Figure I.4 illustrates deformation monitoring with accelerometers.
+
+
+
+The diagram illustrates the architecture for deformation monitoring with accelerometers, organized into three horizontal layers: Storage and utilization site, Monitoring site, and Sensing site.
+
+- Storage and utilization site:**
+ - Sites:** Storage and utilization site
+ - Reference model:** Applications
+ - Deformation monitoring with accelerometers:** Deterioration prediction, Data sharing
+- Monitoring site:**
+ - Sites:** Monitoring site
+ - Reference model:** IoT-based civil engineering infrastructure health monitoring system (dashed box), Monitoring platform
+ - Deformation monitoring with accelerometers:** Vibration mode analysis, Natural frequency analysis
+- Sensing site:**
+ - Sites:** Sensing site
+ - Reference model:** Wide area network (WAN) (cloud), Gateway device, IoT area network (IAN) (cloud), Sensor device, Civil engineering infrastructure
+ - Deformation monitoring with accelerometers:** Gateway, Accelerometer
+
+Connections are shown as follows:
+
+- Dashed lines connect **Deterioration prediction** and **Data sharing** to **Vibration mode analysis** and **Natural frequency analysis** respectively.
+- A dashed line connects **Vibration mode analysis** and **Natural frequency analysis** to the **Gateway**.
+- A dashed line connects the **Gateway** to the **Accelerometer**.
+
+Architecture diagram for deformation monitoring with accelerometers, showing Sites, Reference model, and Deformation monitoring components across three layers: Storage and utilization site, Monitoring site, and Sensing site.
+
+Y.4214(22)
+
+**Figure I.4 – Deformation monitoring with accelerometers**
+
+# Bibliography
+
+- [b-ITU-T Y.4213] Recommendation ITU-T Y.4213 (2021), *IoT requirements and capability framework for monitoring physical city assets*.
+- [b-ITU-T Y-Sup56] Supplement 56 (2019) to ITU-T Y-series Recommendations, *Supplement on use cases of smart cities and communities*.
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+# Recommendation
+
+## **ITU-T Y.4219 (03/2023)**
+
+SERIES Y: Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+Internet of things and smart cities and communities –
+Requirements and use cases
+
+---
+
+**Accessibility requirements for the user
+interface of smart applications supporting
+Internet of things**
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+## **GLOBAL INFORMATION INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS, NEXT-GENERATION NETWORKS, INTERNET OF THINGS AND SMART CITIES**
+
+## GLOBAL INFORMATION INFRASTRUCTURE
+
+| | |
+|-------------------------------------------|-------------|
+| General | Y.100–Y.199 |
+| Services, applications and middleware | Y.200–Y.299 |
+| Network aspects | Y.300–Y.399 |
+| Interfaces and protocols | Y.400–Y.499 |
+| Numbering, addressing and naming | Y.500–Y.599 |
+| Operation, administration and maintenance | Y.600–Y.699 |
+| Security | Y.700–Y.799 |
+| Performances | Y.800–Y.899 |
+
+## INTERNET PROTOCOL ASPECTS
+
+| | |
+|--------------------------------------------------------------------|---------------|
+| General | Y.1000–Y.1099 |
+| Services and applications | Y.1100–Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200–Y.1299 |
+| Transport | Y.1300–Y.1399 |
+| Interworking | Y.1400–Y.1499 |
+| Quality of service and network performance | Y.1500–Y.1599 |
+| Signalling | Y.1600–Y.1699 |
+| Operation, administration and maintenance | Y.1700–Y.1799 |
+| Charging | Y.1800–Y.1899 |
+| IPTV over NGN | Y.1900–Y.1999 |
+
+## NEXT GENERATION NETWORKS
+
+| | |
+|-------------------------------------------------------------------|---------------|
+| Frameworks and functional architecture models | Y.2000–Y.2099 |
+| Quality of Service and performance | Y.2100–Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200–Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250–Y.2299 |
+| Enhancements to NGN | Y.2300–Y.2399 |
+| Network management | Y.2400–Y.2499 |
+| Computing power networks | Y.2500–Y.2599 |
+| Packet-based Networks | Y.2600–Y.2699 |
+| Security | Y.2700–Y.2799 |
+| Generalized mobility | Y.2800–Y.2899 |
+| Carrier grade open environment | Y.2900–Y.2999 |
+
+## FUTURE NETWORKS
+
+Y.3000–Y.3499
+
+### CLOUD COMPUTING
+
+Y.3500–Y.3599
+
+### BIG DATA
+
+Y.3600–Y.3799
+
+### QUANTUM KEY DISTRIBUTION NETWORKS
+
+Y.3800–Y.3999
+
+### INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES
+
+| | |
+|---------------------------------------------------------|----------------------|
+| General | Y.4000–Y.4049 |
+| Definitions and terminologies | Y.4050–Y.4099 |
+| Requirements and use cases | Y.4100–Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250–Y.4399 |
+| Frameworks, architectures and protocols | Y.4400–Y.4549 |
+| Services, applications, computation and data processing | Y.4550–Y.4699 |
+| Management, control and performance | Y.4700–Y.4799 |
+| Identification and security | Y.4800–Y.4899 |
+| Evaluation and assessment | Y.4900–Y.4999 |
+
+*For further details, please refer to the list of ITU-T Recommendations.*
+
+# Recommendation ITU-T Y.4219
+
+# Accessibility requirements for the user interface of smart applications supporting Internet of things
+
+## Summary
+
+When accessibility is properly designed the use of Internet of things (IoT) can increase the quality of life among persons with disabilities, persons with age-related disabilities and those with specific needs. There are many possible IoT services in various environments that provide accessibility services as well. The IoT also can be used to create tools for persons with many types of disabilities and specific needs, including physical, visual, hearing and cognitive disabilities. IoT services interact with a user through the user interface. To ensure an IoT service is accessible, the user interface must be accessible. An accessible user interface must take into account a user's physical, audio and visual capabilities and consider compatibility with any assistive technology used by the user. Recommendation ITU-T Y.4219 outlines essential requirements for a user interface that must be considered in order to secure the accessibility of smart applications.
+
+## History
+
+| Edition | Recommendation | Approval | Study Group | Unique ID* |
+|---------|----------------|------------|-------------|---------------------------------------------------------------------------|
+| 1.0 | ITU-T Y.4219 | 2023-03-28 | 20 | 11.1002/1000/15482 |
+
+## Keywords
+
+Accessibility, persons with disabilities, smart applications, universal design, user interface.
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID. For example, .
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents/software copyrights, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the appropriate ITU-T databases available via the ITU-T website at .
+
+© ITU 2023
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | | Page |
+|---|--------------------------------------------------------------------------------------------------------------------------------------------------|-------------|
+| 1 | Scope ..... | 1 |
+| 2 | References ..... | 1 |
+| 3 | Definitions ..... | 1 |
+| | 3.1 Terms defined elsewhere ..... | 1 |
+| | 3.2 Terms defined in this Recommendation ..... | 2 |
+| 4 | Abbreviations and acronyms ..... | 2 |
+| 5 | Conventions ..... | 2 |
+| 6 | Accessible smart applications to support IoT ..... | 3 |
+| 7 | User interface accessibility requirements for smart applications ..... | 4 |
+| | 7.1 UI requirements to perceive information ..... | 4 |
+| | 7.2 UI requirements to understand information ..... | 6 |
+| | 7.3 UI requirements to perform operation ..... | 7 |
+| | 7.4 UI requirements for assistive technology ..... | 8 |
+| | Appendix I – Use cases indicating the need for the accessible user interface of smart applications supporting the Internet of things (IoT) ..... | 9 |
+| | I.1 Providing alternative texts ..... | 9 |
+| | I.2 Providing proper focus structure ..... | 10 |
+| | I.3 Providing caption and sign interpretation ..... | 11 |
+| | Bibliography ..... | 14 |
+
+## **Introduction**
+
+The concept of universal design, as addressed in the UN Convention on the Rights of Persons with Disabilities (UNCRPD), is that the design of services should be usable by all people to the greatest extent possible. It stresses explicitly the concept of inclusive design without needing adaptation or specialised design. However, the universal design should not exclude assistive devices for particular groups of persons with disabilities where this is needed. This means that all the smart applications supporting Internet of things (IoT) must be designed to accommodate both persons with and without disabilities. However, in many IoT services, the reality is that developers are not creating smart applications that support the needs of persons with disabilities due to a lack of knowledge of accessible applications or preconceived notion that it is not very necessary. This Recommendation outlines essential requirements for a user interface that must be considered in order to secure the accessibility of smart applications.
+
+# Recommendation ITU-T Y.4219
+
+## Accessibility requirements for the user interface of smart applications supporting Internet of things
+
+## 1 Scope
+
+This Recommendation specifies accessibility requirements for the user interface of smart applications supporting Internet of things (IoT).
+
+The scope of this Recommendation includes:
+
+- accessibility requirements for user interfaces of smart applications supporting the Internet of things (IoT) in order for persons with disabilities, persons with age-related disabilities and those with specific needs to be able to utilise the benefits of IoT services.
+
+## 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+[ITU-T F.790] Recommendation ITU-T F.790 (2007), *Telecommunications accessibility guidelines for older persons and persons with disabilities*.
+
+[ITU-T Y.4000] Recommendation ITU-T Y.4000/Y.2060 (2012), *Overview of the Internet of things*.
+
+[ITU-T Y.4204] Recommendation ITU-T Y.4204 (2019), *Accessibility requirements for the Internet of things applications and services*.
+
+## 3 Definitions
+
+### 3.1 Terms defined elsewhere
+
+This Recommendation uses the following terms defined elsewhere:
+
+**3.1.1 accessibility** [b-ITU-T F.791]: The degree to which a product, device, service or environment (virtual or real) is available to as many people as possible.
+
+**3.1.2 assistive technology (AT)** [b-ITU-T F.791]: Piece of equipment, product system, hardware, software or service that is used to enable, maintain or improve functional capabilities of individuals with disabilities.
+
+**3.1.3 Internet of things (IoT)** [ITU-T Y.4000]: A global infrastructure for the information society, enabling advanced services by interconnecting (physical and virtual) things based on existing and evolving interoperable information and communication technologies.
+
+NOTE 1 – Through the exploitation of identification, data capture, processing and communication capabilities, the IoT makes full use of things to offer services to all kinds of applications, whilst ensuring that security and privacy requirements are fulfilled.
+
+NOTE 2 – From a broader perspective, the IoT can be perceived as a vision with technological and societal implications.
+
+**3.1.4 person with age-related disabilities** [b-ITU-T F.791]: A person with cognitive or physical disabilities caused by the aging process. Examples are impaired eyesight, deafness in varying degrees, reduced mobility or cognitive abilities.
+
+**3.1.5 person with specific needs** [b-ITU-T F.791]: Includes persons with disabilities (PWDs), persons who are not literate, those with learning disabilities, children, indigenous people, older persons with age-related disabilities, and anyone who has a temporary disability.
+
+**3.1.6 screen reader software** [b-ITU-T F.791]: Software application used by a person who is blind or cannot easily read print to identify and interpret what is shown on a video display and read aloud using speech synthesis.
+
+**3.1.7 specific needs** [b-ITU-T F.791]: This replaces the use of the term 'special needs'. This term refers to a wide range of categories including women, children, youth, indigenous people, older persons with age-related disabilities, persons with illiteracy, as well as persons with disabilities (PWDs), see [b-ITU PP Res.175], [b-ITU WTDC Res.58], and [b-ITU WTDC AP] and clause 6.39 of [b-ITU-T F.791].
+
+**3.1.8 universal design** [b-ITU-T Y.4211]: The design of products, environments, programmes and services to be usable by all people, to the greatest extent possible, without the need for adaptation or specialized design. "Universal design" shall not exclude assistive devices for particular groups of persons with disabilities where this is needed.
+
+NOTE – Paraphrased from [b-UNCRPD].
+
+### **3.2 Terms defined in this Recommendation**
+
+None.
+
+## **4 Abbreviations and acronyms**
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|-----|------------------------------------------|
+| AAC | Alternative Augmentative Communication |
+| ASR | Automated Speech Recognition |
+| AT | Assistive Technology |
+| ICT | Information and Communication Technology |
+| IoT | Internet of Things |
+| PWD | Persons with Disabilities |
+| TTS | Text-to-Speech |
+| UI | User Interface |
+
+## **5 Conventions**
+
+In this Recommendation:
+
+The expression "**is required to**" indicates a requirement that must be strictly followed and from which no deviation is permitted if conformance to this Recommendation is to be claimed.
+
+The expression "**is recommended**" indicates a requirement that is recommended but which is not absolutely required. Thus, this requirement need not be present to claim conformance.
+
+## 6 Accessible smart applications to support IoT
+
+The concept of universal design, as addressed in the UN Convention on the Rights of Persons with Disabilities (UNCRPD) [b-UNCRPD], is that the design of services should be usable by all people, to the greatest extent possible. It specifically stresses the concept of inclusive design, without the need for adaptation or specialized design. However, the universal design should not exclude assistive devices for particular groups of persons with disabilities where this is needed. This means that all the smart applications supporting IoT must be designed to accommodate both persons with and without disabilities.
+
+However, in many cases, it is a reality that developers are not creating smart applications that support the needs of persons with disabilities due to a lack of knowledge of the accessible application or a preconceived notion that it is not very necessary. This Recommendation outlines essential requirements that a user interface must consider in order to secure the accessibility of smart applications.
+
+As identified in [ITU-T Y.4204], there are many possible IoT services in various environments that provide accessibility services such as home automation services, IoT for work environments, transport services, etc. The use of IoT, when properly designed, may increase the quality of life among persons with disabilities, persons with age-related disabilities and those with specific needs. The IoT also can be used to create tools for persons with many types of disabilities and specific needs, including physical, visual, hearing and cognitive disabilities.
+
+Figure 1 depicts the concept of accessible IoT services.
+
+
+
+The diagram illustrates the concept of accessible IoT services, showing the relationship between user requirements and the IoT reference model layers.
+
+**Users:** Persons with disabilities, persons with age-related disabilities and those with specific needs.
+
+**Layers of accessibility requirements:**
+
+- Interface layer:** Contains **IoT applications**. A dashed arrow points from this layer to the text "Accessibility requirements for user interfaces".
+- Information layer:** Contains the **Service support and application support layer**, which includes **Generic support capabilities** and **Specific support capabilities**. A dashed arrow points from this layer to the text "Accessibility requirements for specific verticals".
+
+**IoT reference model (Source Y.4000) layers:**
+
+- Management capabilities:** Includes **Generic management capabilities** and **Specific management capabilities** (vertical stack on the left).
+- Security capabilities:** Includes **Generic security capabilities** and **Specific security capabilities** (vertical stack on the right).
+- Network layer:** Includes **Networking capabilities** and **Transport capabilities**.
+- Device layer:** Includes **Device capabilities** and **Gateway capabilities**.
+
+Y.4219(23)
+
+Figure 1: Concept of accessible IoT services. The diagram illustrates the relationship between user requirements and the IoT reference model layers.
+
+**Figure 1 – Concept of accessible IoT services**
+
+As introduced in [b-ITU-T Y.4211], the concept of a two-layer structure of accessible IoT services is presented here. The information layer of accessible IoT services is mainly concerned with the service support and applications support layer of the IoT reference model [ITU-T Y.4000]. The
+
+accessible information should be prepared concerning the user's physical, audio, visual, linguistic and cognitive abilities. For public transport, accessibility requirements are addressed in [b-ITU-T Y.4211].
+
+On the other hand, the interface layer of accessible IoT services is mainly concerned with the application layer of the IoT reference model [ITU-T Y.4000]. When an IoT service prepares accessibility information, it should be presented to the user through the user interface. To ensure an IoT service is accessible, the user interface must also be accessible. The accessible user interface must take into account a user's physical, audio and visual capabilities, and consider compatibility with any assistive technology used by the user. This Recommendation directly addresses the accessibility requirements for user interfaces of smart applications supporting IoT.
+
+Smart applications may include but are not limited to, applications for mobile, tablets, wearables, embedded panels and interactive digital signage that are part of IoT services. However, the physical interface is not of interest here although it may be a part of IoT services.
+
+# **7 User interface accessibility requirements for smart applications**
+
+In this clause, user interface (UI) accessibility requirements are listed. Requirements are categorised according to [ITU-T Y.4204].
+
+### **7.1 UI requirements to perceive information**
+
+This clause identifies requirements of UI on users' ability to perceive information and that the users equally recognise all application contents regardless of disabilities.
+
+- 1) Alternative text is required to be provided along with non-text content.
+
+NOTE 1 – Alternative text is a textual substitute for non-text content. The alternative text should be specific and succinct. The alternative text may be converted into a voice using screen reader software and be used as a basis for sign interpretation.
+
+- 2) Both caption and sign interpretation are required to be provided along with the audio contents or visual contents with auditory information.
+
+NOTE 2 – A display with a small screen, such as a wearable device or an embedded panel, may exceptionally omit the sign interpretation.
+
+NOTE 3 – Since it is difficult for persons with hearing disabilities to recognise information provided by audio, caption or sign interpretation is required. It is necessary to provide both because each person may have different specific needs.
+
+- 3) Caption and sign interpretation are required to maintain their physical size large enough for a user to recognise it.
+
+NOTE 4 – When caption and sign interpretation are displayed on a small screen, securing a size that the user can sufficiently recognise is essential. In addition, visual content and its accompanying captions and sign interpretation should be arranged together to be recognised on one screen.
+
+- 4) Caption and sign interpretation are required not to obscure important information on the screen.
+
+NOTE 5 – Caption and sign interpretation need to have separate spaces to not overlap with visual content. Still, if they need to be overlapped due to screen size constraints, it must be ensured that important visual information is displayed well.
+
+- 5) When text appearing on the screen in visual content has meaning, a separate voice commentary explaining the text content is required to be provided.
+
+NOTE 6 – In particular, when the text information displayed on the screen requires a separate explanation, it is necessary to explain it rather than just stating it.
+
+- 6) Automated speech recognition (ASR) captioning is recommended to be used only in limited situations where a human captioner cannot intervene.
+
+NOTE 7 – ASR captioning cannot wholly replace human captioners and should be regarded as complementary, not alternative.
+
+- 7) Sign interpretation using avatars is recommended to be used only in limited situations where real human sign language interpreters cannot.
+
+NOTE 8 – Sign intervention using avatars cannot clearly express non-manual signals, which are essential elements of sign language, and have limitations in not being interactive. Like ASR, it should be considered complementary, not alternative.
+
+- 8) It is required to provide a voice commentary explaining visual content provided without audio or text information.
+
+NOTE 9 – Since it is difficult for persons with visual disabilities to recognise visual information of visual contents, voice commentary is required if there is text information on the screen that is not explained by audio information.
+
+- 9) All information displayed on the screen is required to be recognisable regardless of colour.
+
+NOTE 10 – All information provided by the content should be made recognisable to users who cannot distinguish a particular colour, users of black-and-white displays, users who view black-and-white prints, and users in high contrast mode.
+
+- 10) All information displayed on the screen is required to be kept in a sufficient brightness contrast ratio so that foreground and background colours can be distinguished.
+
+NOTE 11 – All user interface components and text displayed on the screen are required to be provided with a brightness contrast ratio of 4.5:1 or higher so that foreground and background colours can be distinguished [b-Yan].
+
+- 11) Instruction for a user to take a specific action is required to be provided distinctly even when the user utilizes alternative technologies.
+
+NOTE 12 – When users recognise information using alternative text (i.e., using screen readers), the names of terms and components used in the alternative text should be consistently provided so that instructions can be clearly communicated. For example, when creating buttons for user consent, the name of the buttons should be consistent throughout the applications. Possible candidates of the button name, in this case, are "ok", "yes" and "accept". However, only one of them should be used consistently within an application to avoid confusion.
+
+- 12) Instruction for a user to take a specific action is recommended to be recognisable regardless of shape, size, location, orientation, colour or sound.
+
+NOTE 13 – In particular, it is essential to ensure consistency so that users with various specific needs can easily understand instructions when using recognised and clearly identified symbols.
+
+- 13) Notification information is required to be provided in various ways, such as using screen display, sound, vibration, etc.
+
+NOTE 14 – For users with cognitive disabilities, simultaneous use of various senses such as hearing, vision and touch for important notification information is preferred. In addition, to meet the diverse specific needs of different users, it is desirable to provide notification information so that the user may select a method suitable for the user.
+
+- 14) When providing audio content, the appropriate volume and speed are recommended to be maintained.
+
+NOTE 15 – It is not suitable for the user to continuously adjust the volume to identify the audio content. It is also necessary to maintain an appropriate audio content level so that it is not too fast or too late. To this end, the opinions of various users must be reflected.
+
+- 15) When providing audio content, it is recommended to minimise noise.
+
+NOTE 16 – It is necessary to minimise noise, especially for users who use hearing aids, headsets, etc.
+
+### 7.2 UI requirements to understand information
+
+This clause identifies the requirements of UI on the user's ability to understand the information. It concerns providing that the user understands the content provided in the application regardless of disabilities.
+
+- 1) When using the input form, a method to prevent or correct input errors is required to be provided.
+
+NOTE 1 – The input format is required to provide alternative information to identify its intended use and purpose. Also, explanatory information on the input content should be provided to prevent input errors in the input format with a different input method. When there is an error in the user input value, a method should be provided to inform the user of the error content to be understood and corrected. Moreover, it is desirable to move the focus to the point where the error occurred so that it is easy to correct the error contained in the input form.
+
+- 2) Controls with similar functions within the application are required to be provided consistently.
+
+NOTE 2 – For those with cognitive disabilities, different controls with similar functions within the application may confuse users. The same type of controls should be used throughout the application to avoid confusion.
+
+- 3) It is recommended that no blinking or flashing content be provided.
+
+NOTE 3 – Content that has a blinking effect on the screen may cause photosensitive seizures. Inevitably used, content that provides a blink is required to be informed in advance and equipped with a way to avoid it.
+
+- 4) It is recommended that no automatic background sound be used.
+
+NOTE 4 – Using the background sound that is automatically played should be avoided. In the case of using a background sound, a means for the user to control it, such as stopping, pausing, and controlling volume should be provided.
+
+- 5) When a screen is switched or an event such as a pop-up is executed, a method of predicting it is required to be provided.
+
+NOTE 5 – Especially when a user is using a screen reader, the user needs to know the transition of the screen when a screen is switched automatically or at an event such as a pop-up is executed.
+
+- 6) If an application is switched to an external application, it is required to provide a way to predict it.
+
+NOTE 6 – Users using screen readers may not be aware of the transition of the application in a visual way. In this case, confusion can be reduced only when the screen is clearly notified before switching.
+
+- 7) The content placed on the screen is recommended to be consistently arranged in the same order.
+
+NOTE 7 – When the arrangement of content is dynamically changed, the user should be able to see that the structure of the content is dynamically changed. In addition, content that dynamically changes its placement should allow the user to know the placement criteria.
+
+- 8) All text used on the screen is required to use clear expressions, symbols, and abbreviations.
+
+NOTE 8 – Clear expressions, symbols, and abbreviations should be used for users with developmental disabilities or who speak a non-native language. In particular, explanations should be included when using abbreviations so that the original meaning can be grasped.
+
+- 9) Visual contents such as images and photos are required to be easily understood without an additional sentence description.
+
+NOTE 9 – In particular, even when text descriptions are included in visual contents such as images and photos, the meaning should be grasped only by the image and the picture itself.
+
+- 10) If two or more functions need to be used continuously to perform a single action, a clear explanation is required to be given to users.
+
+NOTE 10 – When providing the ability to perform an action using sequential functions, an explanation is required to be provided so that the user knows the meaning of each function and the consequences of each detailed action step.
+
+- 11) If feedback is provided to the user, the functionality is required to be provided to clarify that the user is aware.
+
+NOTE 11 – Identifying the user's perception is not just a wrong message, but it is necessary to determine whether it is recognised through the user's secondary feedback.
+
+- 12) When using voice recognition technology, a means for the user to verify the recognised content is required to be provided.
+
+NOTE 12 – Since speech recognition technology faces inherent error possibilities, it is essential to present the recognised content to the user to determine whether it is recognised as intended by the user.
+
+- 13) When providing a complementary alternative augmentative communication (AAC) function, a training information is required to be provided so that the user can learn the AAC function.
+
+NOTE 13 – AAC can be used as an alternative for users with speech disabilities. When using AAC as a UI, the application must allow the user to master the function thoroughly.
+
+### **7.3 UI requirements to perform operation**
+
+This clause identifies the requirements of UI on the user's ability to perform the required operations. It concerns the user can operate all the functions provided by the application regardless of disabilities.
+
+- 1) All user interface components with meaning or function are required to be focused on.
+
+NOTE 1 – The focus determines the reading order of the screen reader. All user interface components with meaning or function must be focused because the screen reader ignores content that is not focused.
+
+- 2) The focus is required to move in a logical order so that the user can predict it.
+
+NOTE 2 – Since the screen reader user recognises the arrangement of the content in the order of focus, the focus must be moved in the order in which the user can understand the composition of the content.
+
+- 3) The focus is required not to be shifted to user interface components invisible on the screen or having no logical meaning.
+
+NOTE 3 – Components used for the visual embellishments must not to be focused to prevent confusion in content recognition through screen readers.
+
+- 4) The area of focus displayed is required to be provided to match the location and size of the content.
+
+NOTE 4 – The area of focus is the same as the visual size and position since it serves as a reference for touch input for persons with visual disabilities.
+
+- 5) All controls on a touch-based mobile device are required to be controllable by a pressing action.
+
+NOTE 5 – Complex pressing operations such as multi-touch operations that require the use of two or more fingers simultaneously (e.g., pan, drag and drop, etc.) must provide an alternative simple pressing operation as well.
+
+- 6) The response time for content with time limits is required to be adjustable.
+
+NOTE 6 – If the UI presents content that requires the user's response within the time limit, the UI must provide a means to extend or cease the time limit. If it is inevitable, the user must be informed in advance that there is a time limit. Also, the UI must notify the user that the time is up when the response time reaches its limit.
+
+- 7) When video or animation content is played automatically, the UI is required to provide means to control the content play.
+
+NOTE 7 – The means to control video or animation content may include moving forward, backwards, pausing, and stopping.
+
+8) Controls are required to be provided in sufficient size and spacing.
+
+NOTE 8 – If the controls have no clear borders, sufficient clearance between controls must be provided.
+
+NOTE 9 – Exceptions are the controls provided by default to the operating system.
+
+9) Regardless of the device's screen size, it is recommended that the horizontal and vertical sizes of the controls are large enough to make it comfortable to be touched with a finger.
+
+NOTE 10 – To prevent the user's mistake, sufficient gaps between controls need to be secured for those who have difficulty in precise hand movements.
+
+10) When displaying numerical information, it is recommended to be provided in a way that does not require calculation by the user.
+
+NOTE 11 – For example, if the current time and the expected completion time are displayed when expressing the time, the user needs to calculate the elapsed time or remaining time directly. In such cases, numerical information that may be verified without calculation must be displayed to meet the purpose of displaying the information.
+
+### **7.4 UI requirements for assistive technology**
+
+This clause identifies the requirements of UI on the user's ability to use suitable assistive technology. It concerns providing users with access to content provided by the application regardless of technology.
+
+1) Text content is required to provide a way to utilize font-related functions provided by the operating system.
+
+NOTE 1 – Text content must be provided to allow adjustment of the font size. It is desirable to use a general-purpose font to use font-related functions.
+
+NOTE 2 – When adjusting the font size, the adjustment is applied within the range where the screen layout can be maintained.
+
+2) User interface components are required to be made available using assistive technology.
+
+NOTE 3 – It is desirable to make the most of the primary user interface components provided by the operating system. If essential user interface components are unavoidably unavailable, assistive technologies provided by the operating system need to be made available. If a critical component is equipped with a function different from its original function, information about the function must be provided so that the user can understand the function of the control.
+
+3) When providing a communication function between users or with an operator, the communication function is recommended to be designed to enable connection with a relay service.
+
+NOTE 4 – A relay service is a sign interpretation service over the telephone and other communications methods. For further information on incorporating the relay service, see [b-ITU-T F.930].
+
+## Appendix I
+
+### **Use cases indicating the need for the accessible user interface of smart applications supporting the Internet of things (IoT)**
+
+(This appendix does not form an integral part of this Recommendation.)
+
+In this appendix, use cases will be presented as examples to illustrate the needs for accessibility requirements for the user interface of smart applications supporting the Internet of things (IoT) in order for persons with disabilities, persons with age-related disabilities and those with specific needs to utilize the benefits of IoT services.
+
+### **I.1 Providing alternative texts**
+
+When smart devices are used on IoT services, persons with visual disabilities have difficulty reading and understanding the information displayed on the screen. Also, it is difficult for them to locate buttons or enter information using the screen digitizer of the smart device. To address this problem, smart applications need to provide an alternative means to replace the information displayed on the screen so that it can be understood without visually perceiving the screen. As an alternative means of converting visual information into auditory information, screen reader software can be used in smart devices. This screen reader software uses the text-to-speech (TTS) function to read the screen to the user. Many mobile operating systems provide built-in screen reader software. Users can also install and use a third-party screen reader software of their choice.
+
+In general, screen reader software can convert textual information into auditory information using the TTS function. In addition, for non-text information such as images and videos, the TTS functionality can be used by adding appropriate alternative information as annotations to images or videos.
+
+In order to express appropriate alternative auditory information for visual content, appropriate principles must be consistently applied. Also, semantic equivalence between the visual information provided through the screen and the auditory alternative through the screen reader software should be maintained.
+
+In the case of one-to-one conversion that simply relies on the function of TTS, the alternative auditory output may result in missing, distorted or implicitly expressed information or instructions. Consider a screen that receives a user ID and password input for membership authentication. The visual screen can consist of two simple input components that ask for a user ID and password. However, converting it to audio using the screen reader software may not clearly explain what each of the input components are for. Hence, extra instructions may need to be provided for clarification.
+
+In some cases, an icon of a magnifying glass may be used for searches. Utilizing icons is very effective at compactly presenting information visually, but when converting to auditory information, it is often difficult to transcribe information clearly without appropriate explanation.
+
+Therefore, during the development process of the smart applications, the contents displayed on the screen needs to ensure the semantic equivalence between the two aspects, – one, the visually provided information, and two, the auditory alternative information provided by the screen reader software.
+
+
+
+The figure consists of two side-by-side screenshots of a mobile application interface, illustrating incorrect button labeling for accessibility.
+
+**Original Screen (Left):** This screen has a dark blue header with a 'Back' button and the text 'Check Balance / Wire Transfer'. The main content area is light blue and contains six buttons with descriptive labels: 'Account Balance', 'Wire Transfer', 'Manage Account', 'Transaction History', 'Automatic Payments', and 'One-touch Payments'. The bottom navigation bar is dark blue and contains five buttons: 'News', 'Customer Service', 'Logo' (with a pink icon), 'Certificate', and 'Logout'.
+
+**Label of Buttons (Right):** This screen shows the same layout as the original, but the buttons are labeled with generic text for a screen reader. The header 'Back' is labeled 'Button 1'. The six main content buttons are labeled 'Button 2' through 'Button 7' respectively. The bottom navigation bar buttons are labeled 'Button 8' through 'Button 11' respectively, with the 'Logo' button still showing its pink icon.
+
+Figure I.1: Comparison of original and incorrectly labeled mobile app screens.
+
+**Figure I.1 – Example of incorrect button labelling**
+
+The example shown in Figure I.1 shows a person without disabilities who can choose what he/she wants by looking at the buttons listed on the screen. A person with visual disabilities cannot perceive the visual contents of the screen and must read the screen through the screen reader software. Since the buttons are images, the TTS function reads the label of the buttons. If an inexperienced developer leaves the label of said buttons unmodified to the initial value of a "button", the screen reader software will read meaningless information. Examples of what the user will hear would be only "Button 1, Button 2, Button 3, etc." Then, the user would no longer be able to proceed with the application.
+
+### **I.2 Providing proper focus structure**
+
+When auditory information is used as an alternative to visual information, several problems may arise due to the differences between visual and auditory characteristics.
+
+Visual information is represented in two dimensions. This allows multiple pieces of information (i.e., detailed components) to be expressed at once. Usually, visual information is expressed utilizing a variety of visual elements such as text, icons, and pictures. The information is provided to reflect the service provider's intentions through the spatial arrangement of these detailed components.
+
+On the other hand, auditory information displays information in chronological order. Auditory information is mostly commentary expression utilizing various linguistic expressions and various sound signals. Due to the nature of the auditory information in which information is provided over time, the order in which information is presented is important to reflect the intention of the service provider. Auditory alternative information is dependent on the visual information on the screen. Alternative auditory information is provided for the visual information. The goal should be not only to reflect sensory differences between visual and auditory information but also to allow the user to understand the screen and communicate with the device regardless of whether the screen is not visually perceivable.
+
+There are two ways to utilize the screen reader. The first method is a method in which the screen reader reads the content of a specific part when the user touches a specific part of the screen. The second way is for the screen reader to read the screen in order from beginning to end. The issue of the focus structure arises when using the screen reader in the latter way.
+
+To express a two-dimensional screen through a screen reader chronologically, the sequential order in which the screen is read is important. In order for the user to clearly understand the screen, this order should follow the logical order of the information rather than the specific positional order of the screen (i.e., top-to-bottom or left-to-right). In addition, to ensure the semantic equivalence of visual and auditory information, meaningless visual embellishments (e.g., background images or blank images to secure space) should not be read, but, at the same time, visual components with meaning or function should not be omitted.
+
+In which order the screen components are read through the screen reader software is determined by the order in which the components receive focus. Therefore, when composing a screen, the order of focus should be set in consideration of the logical order in which the screen reader software reads the screen.
+
+
+
+Figure I.2: Example of logical focus sequence. The diagram shows two side-by-side representations of a mobile app screen. The left side, titled 'Original Screen', shows a standard UI layout with a 'Back' button, a title bar 'Check Balance / Wire Transfer', and six main menu items: 'Account Balance', 'Wire Transfer', 'Manage Account', 'Transaction History', 'Automatic Payments', and 'One-touch Payments'. At the bottom is a navigation bar with 'News', 'Customer Service', 'Logo', 'Certificate', and 'Logout'. The right side, titled 'Focus Sequence', shows the same screen with a red line indicating the order in which a screen reader would focus elements. The sequence starts at the 'Back' button (1), then moves down through the main menu items in order: 'Account Balance' (2), 'Wire Transfer' (3), 'Manage Account' (4), 'Transaction History' (5), 'Automatic Payments' (6), and 'One-touch Payments' (7). Finally, it moves to the bottom navigation bar, starting with 'News' (8), then 'Customer Service' (9), 'Logo' (10), 'Certificate' (11), and 'Logout' (12). The 'Logo' is highlighted with a purple square, indicating it is an unnecessary embellishment that should be ignored by the screen reader.
+
+**Figure I.2 – Example of logical focus sequence**
+
+Figure I.2 shows an example of a focus sequence when the screen reader reads the whole page. The flow is from the top left to the bottom right consistent with the screen layout. Note that the unnecessary embellishment (i.e., the logo image) at the bottom pane is intentionally ignored.
+
+### **I.3 Providing caption and sign interpretation**
+
+It is difficult for persons with hearing disabilities to recognise auditory information of multimedia contents, and for persons who do not speak the language of the meeting as their native language. Consequently, alternative information such as the use of captions or sign interpretation (either in real-time or recorded) of the content should be provided to assist in recognising the content.
+
+There is a difference between captions that are automated and real-time human-generated captions. The latter is preferred as it is more explicit in giving an exact replication of all spoken contents
+
+accurately in real-time. Automated speech recognition (ASR) captioning, is less accurate because it is not good at differentiating unusual accents, i.e., foreign accents or the voices of persons who are deaf and hard of hearing. Human captioners are more accurate and faster.
+
+Real human sign language interpreters are preferred over the use of avatars. A wider choice of languages can be provided by human sign language interpreters spontaneously and since there is at least one sign language for every country, more accurately. Avatars are only able to communicate one way and have to be pre-recorded. Though there is work being done, avatars cannot operate in real-time two-way situations and can be expensive to create. Human sign language interpreters work just like spoken language voice interpreters. They are able to interpret for individuals and larger audiences such as meetings or one-to-one arrangements. Avatars cannot interpret for a live human being, particularly when a participant in a large gathering asks a question. Real human sign language interpretation is two-way communication.
+
+There is a signed communication called an international sign, which is not a sign language as it is created on the spot by highly trained sign language interpreters and which changes by virtue of the different sign language requirements of the participants for every single meeting.
+
+Such alternative information can be helpful in noisy environments and when persons with disabilities or persons whose language is not the language of the meeting are in attendance. It is also helpful to have quiet environments where extraneous and unnecessary sound is not present.
+
+Pre-produced content as in pre-recorded videos and live broadcasts that have pre-planned content can be provided with captions or sign interpretation in advance. However, in the IoT and Smart City environments, some video information may be inserted and used spontaneously. This content can be obtained from various sources. It may include various content produced and provided by the users. Independently provided content by users may make it difficult to insert captions or sign interpretations retrospectively.
+
+Abstract expressions such as background sounds or audible alarms can be difficult to express with captions unless they are human real-time produced captions and not ASR captions. It is possible to express background sound and audible alarms in real-time human sign language.
+
+In addition, it is insufficient to provide alternative information only in one interpretation, i.e., captions or sign interpretation. Both captions and sign interpretation must be provided as some users may not read captions or understand sign interpretation.
+
+For smart devices, captions or sign interpretation may be difficult to understand visually when they are displayed in a small corner of the screen. The limitations of the physical size of the display may make it difficult for some to understand captions or sign interpretation. In addition, especially for ASR and automatically generated content, care needs to be taken to ensure that captions and sign interpretation does not obscure important information on the screen.
+
+
+
+A screenshot of a mobile application interface for a train announcement. The status bar at the top shows the time 3:28 and signal/battery icons. The app has a purple header with a hamburger menu icon and the title '< Train announcement sign and caption'. Below the header is a purple rounded rectangle containing white text: 'Your attention, please! We just made an emergency stop due to a fire in carriages 5 and 6. Passengers, please stay calm, and move in an orderly manner covering your nose and mouth with a handkerchief or piece of cloth, and following the instructions from the crew.' Underneath the text is a video frame showing a man in a light blue shirt performing sign language. At the bottom of the video frame is a purple button labeled 'Replay'.
+
+Y.4219(23)
+
+**Figure I.3 – Example of captions and sign language services through mobile applications**
+
+Figure I.3 is an example of a service where an announcement is made when an accident occurs while using a train service. That in-cabin announcement could be provided as a video with captions and sign interpretation along with audible interpretation using mobile applications. Persons with disabilities can see, read or hear the announcement with captions, sign language, and audible interpretation using mobile applications to understand the situation.
+
+In the IoT environment, diverse interfaces may coexist and provide alternative means to each other. Various services may be provided using these functions. In the case of railway services, multilingual audio and text services may also be provided for foreigners. In the same context, smart services using IoT may include the ability to combine international signs or provide multiple versions of sign interpretation in different sign languages to provide services for foreigners with hearing disabilities. Audible announcements are important in multiple languages for persons who have visual disabilities.
+
+# Bibliography
+
+- [b-ITU-T F.791] Recommendation ITU-T F.791 (2018), *Accessibility terms and definitions*.
+- [b-ITU-T F.930] Recommendation ITU-T F.930 (2018), *Multimedia telecommunication relay services*.
+- [b-ITU-T Y.4211] Recommendation ITU-T Y.4211 (2020), *Accessibility requirements for smart public transport services*.
+- [b-ITU PP Res.175] ITU Plenipotentiary Conference Resolution 175 (Busan, 2014), [Telecommunication/information and communication technology accessibility for persons with disabilities and persons with specific needs](#).
+- [b-ITU WTDC AP] ITU World Telecommunication Development Conference (2014), Action plan. In: *Final Report World Telecommunication Development Conference (WTDC-14)*, Dubai, United Arab Emirates, 2014-03-30/04-10, pp. 43-144.
+Available [viewed 2019-01-09] at
+- [b-ITU WTDC Res.58] ITU World Telecommunication Development Conference Resolution 58 (Rev Dubai 2014), [Telecommunication/information and communication technology accessibility for persons with disabilities, including persons with age-related disabilities](#). In: *Final Report World Telecommunication Development Conference (WTDC-14)*, Dubai, United Arab Emirates, 2014-03-30/04-10, pp. 396-410
+Available [viewed 2019-01-09] at:
+- [b-UNCRPD] United Nations (2006), *Convention on the rights of persons with disabilities*. New York, NY: United Nations. 37 pp. Available [viewed 2021-02-10] from: [https://treaties.un.org/doc/Publication/CTC/Ch\\_IV\\_15.pdf](https://treaties.un.org/doc/Publication/CTC/Ch_IV_15.pdf)
+- [b-Yan] Yan, S., and Ramachandran, P. G. (2019), *The Current Status of Accessibility in Mobile Apps*, *ACM Transaction on Accessible Computing*, Vol. 12, No. 1, pp. 1-31.
+
+
+
+# SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+# Recommendation
+
+## **ITU-T Y.4221 (07/2024)**
+
+SERIES Y: Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+Internet of things and smart cities and communities –
+Requirements and use cases
+
+---
+
+## **Requirements of IoT-based electric power infrastructure monitoring systems**
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+## Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+| | |
+|---------------------------------------------------------|----------------------|
+| GLOBAL INFORMATION INFRASTRUCTURE | Y.100-Y.999 |
+| INTERNET PROTOCOL ASPECTS | Y.1000-Y.1999 |
+| NEXT GENERATION NETWORKS | Y.2000-Y.2999 |
+| FUTURE NETWORKS | Y.3000-Y.3499 |
+| CLOUD COMPUTING | Y.3500-Y.3599 |
+| BIG DATA | Y.3600-Y.3799 |
+| QUANTUM KEY DISTRIBUTION NETWORKS | Y.3800-Y.3999 |
+| INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES | Y.4000-Y.4999 |
+| General | Y.4000-Y.4049 |
+| Definitions and terminologies | Y.4050-Y.4099 |
+| Requirements and use cases | Y.4100-Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250-Y.4399 |
+| Frameworks, architectures and protocols | Y.4400-Y.4549 |
+| Services, applications, computation and data processing | Y.4550-Y.4699 |
+| Management, control and performance | Y.4700-Y.4799 |
+| Identification and security | Y.4800-Y.4899 |
+| Evaluation and assessment | Y.4900-Y.4999 |
+
+*For further details, please refer to the list of ITU-T Recommendations.*
+
+# Recommendation ITU-T Y.4221
+
+## Requirements of IoT-based electric power infrastructure monitoring systems
+
+## Summary
+
+Recommendation ITU-T Y.4221 specifies the requirements for an IoT-based electric power infrastructure monitoring system for the purposes of maintaining the electric power infrastructure.
+
+An Internet of things (IoT)-based electric power infrastructure monitoring system is an effective means to obtain the operational health status of electric power infrastructures. It provides advanced and efficient auxiliary monitoring and diagnosis methods for maintaining the safe and stable operation of an electric power system.
+
+## History\*
+
+| Edition | Recommendation | Approval | Study Group | Unique ID |
+|---------|----------------|------------|-------------|--------------------|
+| 1.0 | ITU-T Y.4221 | 2024-07-10 | 20 | 11.1002/1000/15475 |
+
+## Keywords
+
+Electric power infrastructure, Internet of things, IoT, IoT-based electric power infrastructure monitoring system, IoT-EPIMS.
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID.
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents/software copyrights, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the appropriate ITU-T databases available via the ITU-T website at .
+
+© ITU 2024
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | | Page |
+|---|----------------------------------------------------------------------------------------------------|------|
+| 1 | Scope ..... | 1 |
+| 2 | References..... | 1 |
+| 3 | Definitions ..... | 1 |
+| | 3.1 Terms defined elsewhere..... | 1 |
+| | 3.2 Terms defined in this Recommendation..... | 2 |
+| 4 | Abbreviations and acronyms ..... | 2 |
+| 5 | Conventions ..... | 2 |
+| 6 | Overview of an IoT-based electric power infrastructure monitoring system ..... | 3 |
+| | 6.1 Introduction to an IoT-based electric power infrastructure monitoring system..... | 3 |
+| | 6.2 Reference model of an IoT-based electric power infrastructure monitoring system..... | 3 |
+| 7 | Requirements of an IoT-based electric power infrastructure monitoring system..... | 5 |
+| | 7.1 General requirements..... | 5 |
+| | 7.2 Sensing requirements..... | 5 |
+| | 7.3 IoT area network requirements..... | 6 |
+| | 7.4 Gateway device requirements..... | 6 |
+| | 7.5 Wide area network requirements..... | 6 |
+| | 7.6 IoT management platform requirements ..... | 7 |
+| | 7.7 Data platform requirements ..... | 7 |
+| | 7.8 Security requirements..... | 8 |
+| | Appendix I – Use case of an IoT-based electric power infrastructure monitoring system..... | 10 |
+| | I.1 An IoT-based electric power infrastructure monitoring system in a transformer substation ..... | 10 |
+| | Bibliography..... | 12 |
+
+
+
+## Recommendation ITU-T Y.4221
+
+## Requirements of IoT-based electric power infrastructure monitoring systems
+
+# 1 Scope
+
+This Recommendation specifies the requirements of an Internet of Things (IoT)-based electric power infrastructure monitoring system.
+
+The scope of this Recommendation includes:
+
+- A reference model for an IoT-based electric power infrastructure monitoring system;
+- Requirements specific to an IoT-based electric power infrastructure monitoring system.
+
+A use case of an IoT-based electric power infrastructure monitoring system is provided in the appendix.
+
+# 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+None.
+
+# 3 Definitions
+
+## 3.1 Terms defined elsewhere
+
+This Recommendation uses the following terms defined elsewhere:
+
+**3.1.1 conversion of electricity** [b-IEC 60050-601]: The changing of the characteristics of the form and frequency of voltage and current by means of a converter.
+
+**3.1.2 distribution of electricity** [b-IEC 60050-601]: The transfer of electricity to consumers within an area of consumption.
+
+**3.1.3 electric equipment** [b-IEC 60050-826]: Item used for such purposes as generation, conversion, transmission, distribution or utilization of electric energy, such as electric machines, transformers, switchgear and control gear, measuring instruments, protective devices, wiring systems, and current-using equipment.
+
+**3.1.4 electric power system** [b-IEC 60050-601]: All installations and plants provided for the purpose of generating, transmitting and distributing electricity.
+
+**3.1.5 generation of electricity** [b-IEC 60050-601]: A process whereby electrical energy is obtained from some other form of energy.
+
+**3.1.6 Internet of things (IoT)** [b-ITU-T Y.4000]: A global infrastructure for the information society, enabling advanced services by interconnecting (physical and virtual) things based on existing and evolving interoperable information and communication technologies.
+
+NOTE 1 – Through the exploitation of identification, data capture, processing and communication capabilities, the IoT makes full use of things to offer services to all kinds of applications, whilst ensuring that security and privacy requirements are fulfilled.
+
+NOTE 2 – From a broader perspective, the IoT can be perceived as a vision with technological and societal implications.
+
+**3.1.7 IoT area network** [b-ITU-T Y.4113]: A network of devices for the IoT and gateways interconnected through local connections.
+
+NOTE – This definition is based on "Overview of the Internet of things" [b-ITU-T Y.4000], where clause 6.2 states "devices can communicate with other devices using direct communication through a local network (i.e., a network providing local connectivity between devices and between devices and a gateway, such as an ad-hoc network)".
+
+**3.1.8 transformer substation** [b-IEC 60050-605]: A substation containing power transformers interconnecting two or more networks of different voltages.
+
+**3.1.9 transmission of electricity** [b-IEC 60050-601]: The transfer in bulk of electricity, from generating stations to areas of consumption.
+
+**3.1.10 wide area network** [b-ITU-T Y.4409]: An IP based communication network that covers a wide geographical area including the Internet and accommodates devices and local area networks.
+
+## 3.2 Terms defined in this Recommendation
+
+None.
+
+# 4 Abbreviations and acronyms
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|-----------|-----------------------------------------------------------|
+| API | Application Programming Interface |
+| CAN | Controller Area Network |
+| CoAP | Constrained Application Protocol |
+| EPI | Electric Power Infrastructure |
+| HTTP | Hypertext Transfer Protocol |
+| IAN | IoT Area Network |
+| IoT | Internet of Things |
+| IoT-EPIMS | IoT-based Electric Power Infrastructure Monitoring System |
+| MQTT | Message Queuing Telemetry Transport |
+| PLC | Powerline Communication |
+| RS-485 | Recommended Standard 485 |
+| SDN | Software-Defined Networking |
+| WAN | Wide Area Network |
+
+# 5 Conventions
+
+In this Recommendation:
+
+The keywords "is required to" indicate a requirement which must be strictly followed and from which no deviation is permitted if conformance to this Recommendation is to be claimed.
+
+The keywords "is recommended" indicate a requirement which is recommended but which is not absolutely required. Thus, this requirement need not be present to claim conformance.
+
+The keywords "can optionally" and "may" indicate an optional requirement which is permissible, without implying any sense of being recommended. These terms are not intended to imply that the
+
+vendor's implementation must provide the option and the feature can be optionally enabled by the network operator/service provider. Rather, it means the vendor may optionally provide the feature and still claim conformance with the Recommendation.
+
+# **6 Overview of an IoT-based electric power infrastructure monitoring system**
+
+## **6.1 Introduction to an IoT-based electric power infrastructure monitoring system**
+
+Electric power infrastructures (EPIs) can be categorized into the four processes of an electric power system, which are the generation, conversion, transmission, and distribution of electricity [b-IEC 60050-601]. The EPIs used in each process are typically complex and require daily maintenance and management. The traditional model for EPI maintenance involves physical inspection and diagnosis conducted by specialists on a daily basis. If any damage or abnormalities are found in an inspection, appropriate mitigation measures are taken to ensure proper functioning of the EPI, and to maintain a safe and stable operation of the overall electric power system. This work is resource intensive and requires a significant level of experience and expertise among personnel.
+
+An IoT-based electric power infrastructure monitoring system (IoT-EPIMS) uses IoT devices to collect data on the operational health of EPIs in an electric power system. By tracking and analysing the change in the operational health of EPIs, specialists can proactively maintain the safe and stable operation of the electric power system. Some examples of the indicators that can be used to assess the operational health of EPIs include temperature, humidity, deformation, insulation, fire protection and security.
+
+## **6.2 Reference model of an IoT-based electric power infrastructure monitoring system**
+
+An IoT-EPIMS is responsible for collecting and processing operational health data of EPIs, and transmitting the data to applications and personnel responsible for EPI operation and maintenance. An IoT-EPIMS has three main characteristics as follows.
+
+The first characteristic is that an IoT-EPIMS has a particularly large amount of data. In each of the four processes of an electric power system, there is a large number of complex EPIs. Thus, in the long-term operation process, huge amounts of data are needed to be collected, transmitted and processed continuously.
+
+The second characteristic is that an IoT-EPIMS has high reliability and real-time requirements. The monitoring data of EPIs is closely related to the operation status of the electric power system. In order to ensure reliable operation of the electric power system, an IoT-EPIMS needs to ensure data acquisition accurately and data transmission in real time.
+
+The third characteristic is that an IoT-EPIMS has high requirements for network security and data security protection. Most of the monitoring data of EPIs contain sensitive information, so an IoT-EPIMS needs to use safety protection measures to ensure that sensitive information is not leaked.
+
+A reference model of an IoT-EPIMS and related components is shown in Figure 1.
+
+
+
+Figure 1 – Reference model of an IoT-EPIMS. The diagram shows a hierarchical architecture. At the top, 'Management applications' and 'Data applications' (dotted boxes) connect to an 'IoT management platform' and a 'Data platform' (solid green boxes). These platforms connect to a 'Wide area network (WAN)' (solid green cloud). The WAN connects to four 'Gateway device' (solid green rectangles). Each gateway device connects to an 'IoT area network (IAN)' (solid green cloud). Each IAN connects to two 'Sensing device' (solid green rectangles). Each sensing device connects to a corresponding 'EPIs' (Electric Power Information) (dotted boxes): 'EPIs in generation of electricity', 'EPIs in conversion of electricity', 'EPIs in transmission of electricity', and 'EPIs in distribution of electricity'. The label 'Y.4221(24)' is at the bottom right.
+
+**Figure 1 – Reference model of an IoT-EPIMS**
+
+An IoT-EPIMS includes sensing devices, IoT area networks (IANs), gateway devices, a wide area network (WAN), an IoT management platform and a data platform. The dotted boxes in Figure 1, i.e., management applications, data applications, and EPIs themselves are not part of the IoT-EPIMS. It should be noted that, although the ownership of the WAN may belong to telecom operators, the IoT-EPIMS has special requirements for the WAN.
+
+NOTE 1 – In an electric power system, the physical attributes measured by sensing devices include, but is not limited to, temperature, humidity, deformation, current, voltage, power, wind direction, wind speed and air pressure.
+
+NOTE 2 – The EPIs and requirements of corresponding sensing devices are unique for each of the four processes within the electric power system.
+
+NOTE 3 – The IoT management platform mainly processes static data in an IoT-EPIMS, such as configurations of two platforms, WAN, gateway devices, IANs or sensing devices. The management applications refer to, but are not limited to, remote management, and maintenance and control of IoT devices. These functions are indispensable in the electric power system and are usually provided to electricity suppliers. The management applications are usually developed according to the specific needs, and they can be realized by calling the application programming interfaces (APIs) provided by the IoT management platform.
+
+NOTE 4 – The data platform mainly processes dynamic data collected from sensing devices in an IoT-EPIMS, such as the status data of transformers. The data applications refer to, but are not limited to, operational health and fault monitoring, defect analysis and auxiliary decision-making (such as auxiliary decision on whether the EPI needs to be repaired, replaced or scrapped) of EPIs. The data applications are usually developed according to the specific needs, and they can be realized by calling the APIs provided by the data platform.
+
+# **7 Requirements of an IoT-based electric power infrastructure monitoring system**
+
+## **7.1 General requirements**
+
+- An IoT-EPIMS is required to sense and collect the operational health information of EPIs in real time, accurately and comprehensively.
+- All devices in an IoT-EPIMS are recommended to have a long device life, and to be flexible in terms of deployment location and installation.
+
+NOTE – EPIs can be indoors or outdoors and have different sizes, and the space available for installing IoT devices for different EPIs ranges from large to small. In addition, power supply and data transmission (wired or wireless) modes of sensing devices may vary between devices.
+
+## **7.2 Sensing requirements**
+
+For the EPIs in the four processes, a large number of sensing devices are used. The requirements of sensing devices common to all types are as follows:
+
+- Sensing devices are required to have the functions of data acquisition, IAN connection and data upload.
+- Sensing devices are required to work in harsh environments, to be resistant to high and low temperatures and to electromagnetic interference, and to be waterproof.
+- Sensing devices are recommended to have the ability of data validation, temporary storage and simple data pre-processing.
+- Sensing devices are required to adjust their working parameters (such as data acquisition accuracy, acquisition frequency and data security authentication) on remote instructions from the IoT management platform.
+- Sensing devices are recommended to support high reliability and high sampling rate.
+
+### **7.2.1 Sensing requirements for the generation of electricity**
+
+- Sensing devices are required to obtain operational data of generating sets [b-IEC 60050] in real time, so as to realize the automation, stability and high efficiency of power generation.
+
+NOTE 1 – Certain types of generating sets such as those for wind and solar power are often affected by changes in the environment (e.g., direction and speed of wind, location of the sun in relation to solar panels).
+
+NOTE 2 – The sensing data is obtained in real time which means that every time a sensing device collects a piece of data, it immediately sends data out. Thus, the data at different times is not packaged to meet real-time requirements.
+
+### **7.2.2 Sensing requirements for the conversion of electricity**
+
+- Sensing devices are required to obtain status data of substation equipment in real time so as to reliably protect substation equipment and enhance the capability of intelligent remote monitoring.
+- Sensing devices are recommended to support multiple options for installation and deployment.
+
+NOTE – There are thousands of EPIs in the conversion of electricity. For example, in an ordinary 500 kV transformer substation, there are generally six transformers, six overhead lines, eighteen circuit-breakers, thirty six switch-disconnectors, six lightning arresters and dozens of safety or control devices.
+
+### **7.2.3 Sensing requirements for the transmission of electricity**
+
+- For overhead lines, sensing devices are required at minimum to continuously obtain data of the conductor temperature, line capacitance, insulator pollution, line wind vibration, and pole inclination angle.
+
+- For underground cables, sensing devices are required at minimum to continuously obtain data of the temperature, humidity, fire of the cable tunnel, as well as temperature, insulation, aging degree, and earth leakage current of the cables.
+
+NOTE 1 – The sensing data may be used to analyse and diagnose the damage or abnormality of the transmission line and insulators for rapid repair.
+
+NOTE 2 – As sensing data is continuously obtained, data needs to be completely collected for a long time, and data may be packaged and sent out regularly. So in this case, the real-time requirement is relatively low.
+
+### **7.2.4 Sensing requirements for the distribution of electricity**
+
+- Sensing devices are required to continuously obtain on-site operational data of EPIs and parameters of the power supply, so as to automatically restore the power supply after an electrical fault, thus avoiding large-scale human and material resources investment.
+
+## **7.3 IoT area network requirements**
+
+- IANs are required to be flexibly organized according to the site environment and coverage requirements, and to be compatible with wired and wireless communication modes.
+- IANs are recommended to reliably connect sensing devices in the data collection area to achieve real-time communication between sensing devices and gateway devices.
+- IANs are recommended to support IP and non-IP communication modes, such as Ethernet, powerline communication (PLC) [b-ISO/IEC 12139-1], recommended standard 485 (RS-485) [b-TIA-485], controller area network (CAN) [b-CiA 102], wireless local area network (such as Wi-Fi [b-IEEE 802.11], low power protocol for wide area wireless networks [b-ITU-T Y.4480] and Bluetooth [b-Bluetooth v5.3].
+
+NOTE – A variety of sensing devices are used in IoT-EPIMS. Since these sensing devices may come from different manufacturers and are used for different purposes, their communication modes and interfaces are often diverse.
+
+## **7.4 Gateway device requirements**
+
+- Gateway devices are required to support protocol conversion between IoT area network (IAN) and wide area network (WAN).
+- Gateway devices are recommended to support the following standardized IoT protocols: message queuing telemetry transport (MQTT) [b-ISO/IEC 20922], constrained application protocol (CoAP) [b-IETF RFC 7252] and hypertext transfer protocol (HTTP) [b-IETF RFC 7540].
+- Gateway devices are recommended to be independent devices.
+
+NOTE – In some scenarios, the gateway may be integrated with an edge or fog computing server.
+
+- Gateway devices are recommended to receive instructions issued from the IoT management platform to modify their own configurations.
+- Gateway devices are recommended to have the functions of sensing device access control, traffic filtering, data verification and data caching.
+
+## **7.5 Wide area network requirements**
+
+- WAN is required to support the diversity of communication technologies, services, service coverage, communication capacity and performance.
+- WAN is required to provide reliable data transmission.
+
+NOTE 1 – This can be realized via the adoption of private network and/or public network based communication technologies.
+
+NOTE 2 – The private network technologies include, but are not limited to, optical fibre, wireless and power line communication (PLC). Public network technologies include, but are not limited to, wireless, wired and satellite.
+
+- WAN is recommended to use a mixture of private networks and public networks to improve the flexibility of network connectivity.
+- WAN is recommended to adopt software-defined networking (SDN) [b-ITU-T Y.3300] and network virtualization [b-ITU-T Y.3011] technologies to realize the integration of heterogeneous networks where applicable.
+
+## **7.6 IoT management platform requirements**
+
+- The IoT management platform is required to provide registration, authentication and access for sensing devices and gateway devices.
+- The IoT management platform is required to enable secure access to data from the WAN by means of authentication and audit.
+- The IoT management platform is required to monitor the concurrent connection of millions of sensing devices and gateway devices, and to locate and record the status of their disconnections or abnormal connections.
+- The IoT management platform is recommended to provide remote configuration, software upgrade and firmware upgrade of sensing devices and gateway devices by issuing control commands.
+- The IoT management platform is recommended to have a database to manage the information of all sensing devices and gateway devices and to enable the storage of data.
+
+NOTE – Before receiving and processing the data uploaded from sensing devices, the IoT management platform may use a database to record the information of all sensing devices and gateway devices in advance, including, but not limited to, their brand and model, installation location, installation time, software version and configuration parameters. After that, the system administrator may use the database to query, add, delete and modify this information.
+
+- The IoT management platform is recommended to provide basic support functions with private APIs for developing management applications.
+
+## **7.7 Data platform requirements**
+
+- The data platform is required to provide a timely update service for basic data.
+
+NOTE 1 – Basic data includes the static and dynamic data necessary for platform operation, including attribute data of EPIs and related data of the system organization structure.
+
+- The data platform is required to manage the data reported by various items of equipment, convert the reported data in its different formats into a unified format, and write it into the database which is installed in this platform.
+- The data platform is required to safely and reliably support the integration, storage and query of heterogeneous health data of EPIs.
+
+NOTE 2 – Health data refers to the temperature, humidity, deformation, insulation, fire, security and other important data related to the health status of EPIs.
+
+- The data platform is required to have a standalone backup database.
+- The data platform is required to include mechanisms for secure data backup and recovery to prevent data loss and ensure business continuity.
+- The data platform is required to be able to set up scheduled data backup and restore data.
+- The data platform is recommended to support various types of databases, including relational databases, multidimensional databases, sequential databases and memory databases.
+
+NOTE 3 – Relational databases are suitable for processing data with the logical structure of a two-dimensional table.
+
+NOTE 4 – Multidimensional databases are good at dealing with multisource or multidimensional data.
+
+NOTE 5 – Sequential databases are mainly good at optimally storing and processing data that changes in a timely order.
+
+NOTE 6 – Memory databases put data in memory and operate it directly, which can greatly improve the speed of the data access compared with accessing from a disk.
+
+- The data platform is recommended to support a backup strategy based on a combination of full backup and incremental backup.
+- The data platform is recommended to provide fundamental processing and operation of raw data functions, such as calculation, advanced algorithm calling, cleaning, database record generation, query and operation log generation.
+- The data platform is recommended to provide open APIs for these fundamental processing and operation of raw data functions, so as to simplify the development of data applications.
+
+## 7.8 Security requirements
+
+The security of an IoT-EPIMS includes equipment security, data security and system security.
+
+For equipment security:
+
+- An IoT-EPIMS is required to provide protection measures, such as supporting protective covers to prevent external physical tampering.
+
+NOTE – These protection measures are required to not affect the normal operation of EPIS.
+
+- An IoT-EPIMS is recommended to be equipped with an uninterruptible power supply and enable dual machine hot standby.
+
+For data security:
+
+- An IoT-EPIMS is required to have data protection capabilities, such as database security audit, in order to prevent sensitive data from being illegally exported.
+- An IoT-EPIMS is required to adopt reliable data transmission technology and encrypt the sensitive data in real time by means of soft or hard encryption.
+- An IoT-EPIMS is required to enforce strict access controls and user authentication mechanisms to ensure that only authorized individuals can access and manipulate the data.
+- An IoT-EPIMS is required to incorporate data integrity checks to ensure that data remains unaltered and trustworthy throughout its lifecycle.
+- An IoT-EPIMS is required to support regular security assessments and vulnerability scans to identify and mitigate potential risks to the data.
+
+For system security:
+
+- An IoT-EPIMS is required to upgrade software patches promptly, so as to provide virus intrusion detection and sufficient anti-virus capability.
+- An IoT-EPIMS is required to provide network boundary protection, such as a firewall, isolation device and other equipment, when dealing with communication with external systems.
+- An IoT-EPIMS is required to adopt secure connection control to prevent illegal or fake sensing devices and/or gateway devices from connecting to the IoT-EPIMS.
+- An IoT-EPIMS is recommended to have the function of a user authority management, including authority level division, user authorization, identity authentication and behaviour audit.
+
+- An IoT-EPIMS is recommended to maintain comprehensive logs and conduct regular behaviour audits, aiding in the detection and investigation of suspicious or malicious behaviour.
+
+# Appendix I
+
+## Use case of an IoT-based electric power infrastructure monitoring system
+
+(This appendix does not form an integral part of this Recommendation.)
+
+NOTE – In this appendix, professional terms related to the electric power system are adopted from the international electrotechnical vocabulary (IEV) [b-IEC 60050].
+
+This appendix provides a use case of an IoT-EPIMS in a transformer substation.
+
+## I.1 An IoT-based electric power infrastructure monitoring system in a transformer substation
+
+A substation is a part of an electrical system, confined to a given area, mainly including ends of transmission or distribution lines, electrical switchgear and controlgear, and buildings and transformers [b-IEC 60050-601]. Transformer substations are the most common substations in an electric power system.
+
+The main EPIs of a transformer substation include the transformer, circuit breaker/switch-disconnector and lightning arrester. Through an IoT-EPIMS, the operation data and the environmental status of EPIs are detected and transmitted to the IoT management platform and the data platform, in order to realize real-time monitoring of the whole transformer substation, enhancing the reliability of the conversion of electricity. The basic structure of the IoT-EPIMS in a transformer substation is shown in Figure I.1.
+
+
+
+The diagram illustrates the architecture of an IoT-EPIMS in a transformer substation. At the top, there are two dashed boxes representing management and monitoring functions. The left box contains 'Device management', 'Repair management', 'Device control', and 'IoT setting App'. The right box contains 'Equipment monitoring', 'Active forewarning', and 'Auxiliary decision-making'. These are connected to the 'IoT management platform' and the 'Data platform'. The 'IoT management platform' is connected to the 'Data platform' via a 'Private optical fibre'. Below these platforms is a 'Gateway device' which connects to four substation components: 'Transformer', 'Circuit-breaker/switch-disconnector', 'Lightning arrester', and 'Others'. Each component has a set of sensors and devices: 'Transformer' includes Video camera, Oil status sensor, Leakage protection device, and Pressure sensor; 'Circuit-breaker/switch-disconnector' includes Video camera, Switch status sensor, and Control device; 'Lightning arrester' includes Video camera, Partial discharge sensor, Earth leakage current sensor, and Lightning strike counter; 'Others' includes Fire sensor, Anti-theft device, Thermograph, Hygrograph, and Waterlogging sensor. The diagram is labeled 'Y.4221(24)' in the bottom right corner.
+
+Figure I.1: IoT-EPIMS in transformer substation architecture diagram.
+
+**Figure I.1 – IoT-EPIMS in transformer substation**
+
+Concerning the transformer, one or more video cameras, oil status sensors, leakage protection devices, and pressure sensors are installed to obtain a real picture of its state, amount of insulating oil, leakage of electricity and internal pressure. Concerning the circuit-breaker/switch-disconnector, one or more video cameras and switch sensors are installed to obtain a real picture of its state and on-off state, and one or more control devices are used to remotely control its on-off status. Concerning the lightning arrester, one or more video cameras, partial discharge sensors, earth leakage current sensors, and lightning strike counters are installed to obtain a real picture of its state, partial discharge, earth leakage current and lightning strike times. As well as these, one or more fire sensors, anti-theft
+
+devices, thermograph hygrographs and waterlogging sensors are installed to detect fire and theft, and temperature humidity and water level, the latter of which are environmental information around the EPIs.
+
+The data collected by sensing devices is delivered to the WAN via a gateway device, is then transmitted to the IoT management platform through a private optical fibre network.
+
+By analysing the data and various parameters of EPIs, management applications and data applications can be developed. Specifically, management applications include device management, repair management, device control, and IoT setting applications. Data applications include equipment monitoring, active forewarning, defect analysis, and auxiliary decision-making.
+
+# Bibliography
+
+- [b-ITU-T Y.3011] Recommendation ITU-T Y.3011 (2012), *Framework of network virtualization for future networks*.
+- [b-ITU-T Y.3300] Recommendation ITU-T Y.3300 (2014), *Framework of software-defined networking*.
+- [b-ITU-T Y.4000] Recommendation ITU-T Y.4000/Y.2060 (2012), *Overview of the Internet of things*.
+- [b-ITU-T Y.4113] Recommendation ITU-T Y.4113 (2016), *Requirements of the network for the Internet of things*.
+- [b-ITU-T Y.4409] Recommendation ITU-T Y.4409/Y.2070 (2015), *Requirements and architecture of the home energy management system and home network services*.
+- [b-ITU-T Y.4480] Recommendation ITU-T Y.4480 (2021), *Low power protocol for wide area wireless networks*.
+- [b-Bluetooth v5.3] Bluetooth® Specification (2021), *Bluetooth core specification v5.3*.
+<[https://www.bluetooth.org/DocMan/handlers/DownloadDoc.ashx?doc\\_id=521059](https://www.bluetooth.org/DocMan/handlers/DownloadDoc.ashx?doc_id=521059)>
+- [b-CiA 102] CiA 102 version 3.0.0 (2010), *CAN Physical layer for industrial applications*.
+<[https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://forum.opencyphal.org/uploads/short-url/7Qw4k479Z6xXmf8XJYsCzCIJmYL.pdf&ved=2ahUKEwIw\\_6\\_bm7iIAxWK6KACHYGkNFAQFnoECBwQAQ&usq=AOvVaw04w8mpPIyUAAu-tXdjDQVQ](https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://forum.opencyphal.org/uploads/short-url/7Qw4k479Z6xXmf8XJYsCzCIJmYL.pdf&ved=2ahUKEwIw_6_bm7iIAxWK6KACHYGkNFAQFnoECBwQAQ&usq=AOvVaw04w8mpPIyUAAu-tXdjDQVQ)>
+- [b-IEC 60050] International Electrotechnical Commission IEC 60050 (2024), *Electropedia: The World's Online Electrotechnical Vocabulary*.
+<>
+- [b-IEC 60050-601] International Electrotechnical Commission IEC 60050-601:1985/AMD2:2020, *Amendment 2 – International Electrotechnical Vocabulary (IEV) – Part 601: Generation, transmission and distribution of electricity – General*.
+<>
+- [b-IEC 60050-605] International Electrotechnical Commission IEC 60050-605:1983, *International Electrotechnical Vocabulary (IEV) – Part 605: Generation, transmission and distribution of electricity – Substations*.
+<>
+- [b-IEC 60050-826] International Electrotechnical Commission IEC 60050-826:2022, *International Electrotechnical Vocabulary (IEV) – Part 826: Electrical installations*.
+<>
+- [b-IEEE 802.11] IEEE 802.11-2020, *IEEE Standard for Information Technology – Telecommunications and Information Exchange between Systems – Local and Metropolitan Area Networks – Specific Requirements – Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications*.
+<>
+
+- [b-IETF RFC 7252] IETF RFC 7252 (2014), *The Constrained Application Protocol (CoAP)*.
+<>
+- [b-IETF RFC 7540] IETF RFC 7540 (2015), *Hypertext Transfer Protocol Version 2 (HTTP/2)*.
+<>
+- [b-ISO/IEC 12139-1] ISO/IEC 12139-1:2009, *Information technology – Telecommunications and information exchange between systems – Powerline communication (PLC) – High speed PLC medium access control (MAC) and physical layer (PHY) – Part 1: General requirements*.
+<>
+- [b-ISO/IEC 20922] ISO/IEC 20922:2016, *Information technology – Message Queuing Telemetry Transport (MQTT) v3.1.1*.
+<>
+- [b-TIA-485] TIA-485 (1998), *Electrical Characteristics of Generators and Receivers for Use in Balanced Digital Multipoint Systems*.
+<>
+
+
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..280d44dc7857e144a5f2b001a679e695bd455632
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@@ -0,0 +1,761 @@
+
+
+# ITU-T
+
+TELECOMMUNICATION
+STANDARDIZATION SECTOR
+OF ITU
+
+## Y.4453
+
+(09/2016)
+
+SERIES Y: GLOBAL INFORMATION
+INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS
+AND NEXT-GENERATION NETWORKS, INTERNET OF
+THINGS AND SMART CITIES
+
+Internet of things and smart cities and communities –
+Frameworks, architectures and protocols
+
+# --- **Adaptive software framework for Internet of things devices**
+
+Recommendation ITU-T Y.4453
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+# GLOBAL INFORMATION INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS AND NEXT-GENERATION NETWORKS, INTERNET OF THINGS AND SMART CITIES
+
+| | |
+|--------------------------------------------------------------------|----------------------|
+| GLOBAL INFORMATION INFRASTRUCTURE | |
+| General | Y.100–Y.199 |
+| Services, applications and middleware | Y.200–Y.299 |
+| Network aspects | Y.300–Y.399 |
+| Interfaces and protocols | Y.400–Y.499 |
+| Numbering, addressing and naming | Y.500–Y.599 |
+| Operation, administration and maintenance | Y.600–Y.699 |
+| Security | Y.700–Y.799 |
+| Performances | Y.800–Y.899 |
+| INTERNET PROTOCOL ASPECTS | |
+| General | Y.1000–Y.1099 |
+| Services and applications | Y.1100–Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200–Y.1299 |
+| Transport | Y.1300–Y.1399 |
+| Interworking | Y.1400–Y.1499 |
+| Quality of service and network performance | Y.1500–Y.1599 |
+| Signalling | Y.1600–Y.1699 |
+| Operation, administration and maintenance | Y.1700–Y.1799 |
+| Charging | Y.1800–Y.1899 |
+| IPTV over NGN | Y.1900–Y.1999 |
+| NEXT GENERATION NETWORKS | |
+| Frameworks and functional architecture models | Y.2000–Y.2099 |
+| Quality of Service and performance | Y.2100–Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200–Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250–Y.2299 |
+| Enhancements to NGN | Y.2300–Y.2399 |
+| Network management | Y.2400–Y.2499 |
+| Network control architectures and protocols | Y.2500–Y.2599 |
+| Packet-based Networks | Y.2600–Y.2699 |
+| Security | Y.2700–Y.2799 |
+| Generalized mobility | Y.2800–Y.2899 |
+| Carrier grade open environment | Y.2900–Y.2999 |
+| FUTURE NETWORKS | Y.3000–Y.3499 |
+| CLOUD COMPUTING | Y.3500–Y.3999 |
+| INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES | |
+| General | Y.4000–Y.4049 |
+| Definitions and terminologies | Y.4050–Y.4099 |
+| Requirements and use cases | Y.4100–Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250–Y.4399 |
+| Frameworks, architectures and protocols | Y.4400–Y.4549 |
+| Services, applications, computation and data processing | Y.4550–Y.4699 |
+| Management, control and performance | Y.4700–Y.4799 |
+| Identification and security | Y.4800–Y.4899 |
+| Evaluation and assessment | Y.4900–Y.4999 |
+
+*For further details, please refer to the list of ITU-T Recommendations.*
+
+# Recommendation ITU-T Y.4453
+
+# Adaptive software framework for Internet of things devices
+
+## Summary
+
+Recommendation ITU-T Y.4453 addresses the concept of the adaptive software framework (ASF), identifies high-level requirements and provides a reference functional architecture for Internet of things (IoT) devices. The ASF is a framework to manage and control adaptive IoT applications in real-time and in a dynamic way and enables optimal quality of service (QoS) performance. The adaptive IoT application is an IoT application that changes performance by altering system resource allocation (e.g., the number of central processing unit (CPU) cores, graphics processing unit (GPU) utilization, network bandwidth, etc.). Therefore, the ASF can provide optimal working of applications on IoT devices. The ASF is based on the IoT reference model described in Recommendation ITU-T Y.4000.
+
+## History
+
+| Edition | Recommendation | Approval | Study Group | Unique ID* |
+|---------|----------------|------------|-------------|---------------------------------------------------------------------------|
+| 1.0 | ITU-T Y.4453 | 2016-09-13 | 20 | 11.1002/1000/13028 |
+
+## Keywords
+
+Adaptive software framework, Internet of things, IoT.
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID. For example, .
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had received notice of intellectual property, protected by patents, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the TSB patent database at .
+
+© ITU 2016
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | Page |
+|------------------------------------------------------------|-------------|
+| 1 Scope..... | 1 |
+| 2 References..... | 1 |
+| 3 Definitions ..... | 1 |
+| 3.1 Terms defined elsewhere ..... | 1 |
+| 3.2 Terms defined in this Recommendation..... | 1 |
+| 4 Abbreviations and acronyms ..... | 2 |
+| 5 Conventions ..... | 2 |
+| 6 Overview of the adaptive software framework ..... | 2 |
+| 7 ASF features and high-level requirements ..... | 3 |
+| 7.1 ASF features ..... | 4 |
+| 7.2 High-level requirements ..... | 5 |
+| 8 Functional architecture of the ASF ..... | 6 |
+| 8.1 Application monitoring manager function ..... | 7 |
+| 8.2 System information manager function ..... | 9 |
+| 8.3 Policy manager function..... | 14 |
+| Appendix I – An example use case and workflow for ASF..... | 17 |
+| Bibliography..... | 19 |
+
+
+
+## Recommendation ITU-T Y.4453
+
+# Adaptive software framework for Internet of things devices
+
+# 1 Scope
+
+This Recommendation describes the high-level requirements and functional architecture of the adaptive software framework (ASF) for Internet of things (IoT) devices.
+
+In particular, the scope of this Recommendation includes:
+
+- an overview of the ASF;
+- features and high-level requirements of the ASF: monitoring capability, policy decision capability and management capability;
+- functional architecture of the ASF: application monitoring manager function, system information manager function and policy manager function.
+
+# 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+[ITU-T Y.4000] Recommendation ITU-T Y.4000/Y.2060 (2012), *Overview of the Internet of things*.
+
+# 3 Definitions
+
+## 3.1 Terms defined elsewhere
+
+This Recommendation uses the following terms defined elsewhere:
+
+**3.1.1 application** [b-ITU-T Y.2091]: A structured set of capabilities, which provide value-added functionality supported by one or more services, which may be supported by an API interface.
+
+**3.1.2 Internet of things (IoT)** [ITU-T Y.4000]: A global infrastructure for the information society, enabling advanced services by interconnecting (physical and virtual) things based on existing and evolving interoperable information and communication technologies.
+
+NOTE 1 – Through the exploitation of identification, data capture, processing and communication capabilities, the IoT makes full use of things to offer services to all kinds of applications, whilst ensuring that security and privacy requirements are fulfilled.
+
+NOTE 2 – From a broader perspective, the IoT can be perceived as a vision with technological and societal implications.
+
+## 3.2 Terms defined in this Recommendation
+
+This Recommendation defines the following terms:
+
+**3.2.1 adaptive software framework:** Middleware used to enable optimal QoS performance for each adaptive IoT application by using static/dynamic information regarding applications and system resources in IoT devices.
+
+**3.2.2 adaptive IoT application:** A special IoT application working in the ASF. The application's performance is changed by altering system resource allocation (e.g., the number of CPU cores, GPU utilization, network bandwidth).
+
+# **4 Abbreviations and acronyms**
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|------|--------------------------------------|
+| AP | Access Point |
+| API | Application Programming Interface |
+| ASF | Adaptive Software Framework |
+| CPU | Central Processing Unit |
+| DVFS | Dynamic Voltage/Frequency Scaling |
+| FE | Functional Entity |
+| GPU | Graphics Processing Unit |
+| ICT | Information Communication Technology |
+| IoT | Internet of Things |
+| IP | Internet Protocol |
+| IPC | Inter-Process Communication |
+| OS | Operating System |
+| PID | Process Identification |
+| QoS | Quality of Service |
+| STB | Set-Top-Box |
+| TCP | Transmission Control Protocol |
+
+# **5 Conventions**
+
+The following conventions are used in this Recommendation:
+
+- The keywords "is required to" indicate a requirement which must be strictly followed and from which no deviation is permitted, if conformance to this Recommendation is to be claimed.
+- The keywords "is recommended" indicate a requirement which is recommended but which is not absolutely required. Thus, this requirement need not be present to claim conformance.
+
+# **6 Overview of the adaptive software framework**
+
+With the rapid development of Internet of things (IoT) technologies, a large number of different IoT devices are entering the market. Usually, these IoT devices have varying hardware and software capabilities; therefore typical IoT applications need to be modified or customized to meet these diverse capabilities. It is necessary to manage and control these IoT applications to address this issue. The adaptive software framework (ASF) can manage and control adaptive IoT applications in real-time and in a dynamic way to enable optimal QoS performance. A conceptual diagram of the ASF consists of the IoT application layer, the adaptive software framework layer and the system resource layer, as shown in Figure 6-1. The ASF layer exists between the application layer and the system resource layer. The ASF performs monitoring for application and system monitoring, application and system management and analysis and policy decision-making.
+
+
+
+The diagram illustrates the architecture of the Adaptive Software Framework (ASF) across three layers:
+
+- IoT applications layer:** Contains three 'Adaptive IoT application' components.
+- Adaptive software framework layer:** Contains three functional blocks: 'Application and system monitoring', 'Application and system management', and 'Analysis and policy decision'.
+- System and resources layer:** Contains three resource components: 'CPU/GPU', 'Memory', and 'Network'.
+
+Arrows indicate the flow of data and control between the layers, showing a bidirectional relationship between the IoT applications layer and the Adaptive software framework layer, and between the Adaptive software framework layer and the System and resources layer.
+
+Y.4453(16)\_F6-1
+
+A conceptual diagram of the ASF (Adaptive Software Framework) showing three layers: IoT applications layer, Adaptive software framework layer, and System and resources layer. The IoT applications layer contains three 'Adaptive IoT application' boxes. The Adaptive software framework layer contains three boxes: 'Application and system monitoring', 'Application and system management', and 'Analysis and policy decision'. The System and resources layer contains three circles: 'CPU/GPU', 'Memory', and 'Network'. Arrows indicate bidirectional communication between the layers.
+
+**Figure 6-1 – A conceptual diagram of the ASF**
+
+The ASF gets more meaningful values under the current IoT service, because it enables resource-limited IoT devices to achieve high performance and compatibility over typical IoT systems. The ASF allows for the development of resource-managed IoT applications without a user's control. Also, the ASF provides functionalities to monitor and control application/system resources for IoT service interoperability. These functionalities make it easy to extend existing IoT systems.
+
+The ASF enables developers to achieve high-performance, low power for applications. In addition, it can not only reduce typical software development complexity, but can also resolve the emerging complexities in diverse IoT applications and devices.
+
+# 7 ASF features and high-level requirements
+
+This clause describes the ASF features in accordance with the IoT reference model illustrated in Figure 7-1, as given by [ITU-T Y.4000] and high-level requirements of the ASF.
+
+
+
+(ITU-T Y.4000)
+
+Y.4453(16)\_F7-1
+
+Figure 7-1 – IoT reference model per ITU-T Y.4000. The diagram shows a four-layer architecture: Application layer, Service support and application support layer, Network layer, and Device layer. The Application layer contains IoT applications. The Service support and application support layer contains Generic support capabilities and Specific support capabilities. The Network layer contains Networking capabilities and Transport capabilities. The Device layer contains Device capabilities and Gateway capabilities. On the left, Management capabilities (Application layer) and Specific management capabilities (Service support and application support layer, Network layer, Device layer) are listed. On the right, Security capabilities (Application layer) and Specific security capabilities (Service support and application support layer, Network layer, Device layer) are listed. A legend indicates that a box represents (ITU-T Y.4000).
+
+**Figure 7-1 – IoT reference model per ITU-T Y.4000**
+
+## 7.1 ASF features
+
+### 7.1.1 Application layer
+
+The application layer considers adaptive IoT applications for the ASF.
+
+- Internal adaptive IoT applications: The internal adaptive IoT application is an application that contains control codes.
+- External adaptive IoT applications: The external adaptive IoT application is an application whose performance can be changed by the ASF.
+
+### 7.1.2 Service support and application support layer
+
+The service support and application support layer considers specific capabilities regarding application monitoring capabilities and policy managing capabilities for the ASF.
+
+- Application monitoring capability: Monitors adaptive IoT applications in real-time by monitoring their QoS.
+- Policy decision capability: Controls system resources such as CPU, memory and network status and decides adaptive IoT application's control by using static/dynamic information regarding applications and system resources.
+
+### 7.1.3 Network layer
+
+The ASF utilizes the network-related capabilities provided by the entities in the network layer.
+
+### 7.1.4 Device layer
+
+The device layer considers two kinds of devices for the ASF, small scale devices and large scale devices.
+
+- Small scale devices: Terminal-node type of devices that are dependent on large scale devices, e.g., smart glasses.
+- Large scale devices: Gateway devices and wired/wireless access point (AP) devices used in embedded and IoT devices, e.g., a set-top-box (STB).
+
+### **7.1.5 Management capabilities**
+
+The management capabilities contain system information managing capability for the ASF.
+
+- The system information managing capability has generic and specific management features. This collects and manages system information and application information. System information consists of static/dynamic data regarding CPU, memory and network status. Application information also consists of static/dynamic data regarding an application's user requirements and the application's QoS.
+- The system information managing capability includes managing heterogeneous/homogeneous systems with single-core and multi-core processors. This can also have three managing features: management which receives the state of cores included in single-processor and/or multi-core processors of heterogeneous/homogeneous systems, determination which decides which core is to be allocated to execute an application based on the received states of the cores among these cores and allocation which allocates the determined core to execute the application.
+
+### **7.1.6 Security capabilities**
+
+The security capabilities provide secure execution for the ASF.
+
+- Security features include detecting and controlling execution requests of commands and services according to a security policy (e.g., a secure password is provided for the detected commands and services) and examining for the possibility of hacking behaviour for the execution of commands and services. If the commands and services are deemed secure as a result of a safety check of the commands and services, the secure command and services are executed and, if the commands and services are deemed unsafe, they are verified as secure through both a password check and a hacking behaviour examination executed in sequence.
+
+## **7.2 High-level requirements**
+
+For development of adaptive IoT applications, it is recommended to:
+
+- manage the development and execution environments of the typical applications;
+- develop as a managed application distinctively for adaptive IoT application;
+- separate the application's setting information and logic;
+- provide a standard package format for application delivery.
+
+### **7.2.1 Requirements for monitoring capability**
+
+For monitoring capability, it is recommended to:
+
+- provide monitoring interfaces by internal and/or external method;
+- manage monitoring (e.g., start and finish) by internal and/or external method;
+- measure performance and/or resource utilization for instant and/or average sampling periods.
+
+### **7.2.2 Requirements for policy decision capability**
+
+For policy decision capability, it is recommended to:
+
+- provide parameter setup functionality for an internal adaptive IoT application to update an application's QoS;
+- pre-define the priority of an application according to characteristics and provide the functionality to perform in sequence;
+- support the dynamic setup for system resources (e.g., CPU, memory, network).
+
+### 7.2.3 Requirements for management capability
+
+For management capability, it is recommended to:
+
+- provide mechanisms for collecting static and dynamic information about the system resources (e.g., CPU, GPU, memory, network) in real-time;
+- support third-party modules that collect information (e.g., power, internal kernel status) from external modules and external devices.
+
+# 8 Functional architecture of the ASF
+
+The ASF can support heterogeneous/homogeneous types of embedded IoT devices and can include application/system manager functions (see Figure 8-1). These functions can adjust to allocate optimal system resources according to performance requirements of the adaptive IoT applications and system resources.
+
+
+
+The diagram illustrates the functional architecture of the Adaptive Software Framework (ASF) across three layers:
+
+- Adaptive IoT application:** Contains 'Application logics' and 'Monitoring interfaces'. It sends 'Information' down to the manager function and receives 'Control' up from it.
+- Adaptive software framework:** Contains three main components:
+ - Application monitoring manager function:** Receives information from the application and sends control back to it.
+ - System information manager function:** Receives information from the system resources and sends it to the policy manager function.
+ - Policy manager function:** Receives information from the system information manager function and sends control signals to the system resources.
+- System and resources:** Contains 'CPU/GPU', 'Memory', and 'Network'. It sends 'Information' up to the system information manager function and receives 'Control' down from the policy manager function.
+
+Control signals are also shown as a direct path from the Policy manager function back to the Monitoring interfaces in the Adaptive IoT application layer.
+
+Y.4453(16)\_F8-1
+
+Functional architecture of ASF diagram
+
+**Figure 8-1 – Functional architecture of ASF**
+
+The ASF is composed of three functions:
+
+- 1) the application monitoring manager function,
+- 2) the system information manager function, and
+- 3) the policy manager function.
+
+The adaptive IoT application consists of application logic and monitoring capabilities providing information to the application monitoring manager function. The ASF gets information from the adaptive IoT application and the system and resources layers, and sends control signals (such as execution commands) to the systems and applications. The ASF optimizes computing performance for adaptive IoT applications.
+
+## 8.1 Application monitoring manager function
+
+The application monitoring manager function, shown in Figure 8-2, is the foundational part of the ASF. This function gets static and dynamic information from the adaptive IoT applications and then transfers this information in real-time to the system information manager function. Thus, if the system information manager function does not receive the adaptive IoT application's information, the ASF can't manage and control the adaptive IoT application. The application monitoring manager function receives an application's information through monitoring interfaces exposed by the adaptive IoT application and other information is generated by the application monitoring manager function. These two kinds of information are sent to the system information manager function using network protocols, e.g., inter-process communication (IPC) and/or transmission control protocol (TCP)/Internet protocol (IP). The application monitoring manager function is composed of three functional entities (FEs): application information gathering, QoS measurement and information processing.
+
+
+
+The diagram illustrates the architecture of the Application Monitoring Manager Function (AMF) within the Adaptive Software Framework (ASF). It is organized into three main layers:
+
+- Adaptive IoT application layer:** Contains multiple application instances. Each instance has two components: **Application logics** and **Monitoring interfaces**.
+- Adaptive software framework layer:** This layer contains the **Application monitoring manager function** (highlighted in yellow).
+ - An arrow labeled "Application static Info. and application PID" points from the **Monitoring interfaces** of the applications to the AMF.
+ - The AMF consists of three functional entities (FEs): **Application Info. gathering FE**, **QoS measurement FE**, and **Information processing FE**.
+ - An arrow labeled "Application static/dynamic Info. and application PID" points from the AMF to the **System information manager function** and **Policy manager function** located below it.
+- System and resources layer:** Contains three resource components: **CPU/GPU**, **Memory**, and **Network**.
+
+Y.4453(16)\_F8-2
+
+Figure 8-2: Application monitoring manager function in ASF. The diagram shows the flow of information from Adaptive IoT applications through the Adaptive software framework to System and resources.
+
+**Figure 8-2 – Application monitoring manager function in ASF**
+
+### 8.1.1 Application information gathering FE
+
+The application information gathering FE recognizes adaptive IoT applications by receiving their static information transferred through network protocols, e.g., IPC or TCP/IP. The following static information is necessary for adaptive IoT applications:
+
+- max QoS value: maximum performance of application;
+- min QoS value: minimum performance of application;
+- target QoS value: performance desired by users;
+- application process identification (PID): process identifier allocated by the system during the application's execution.
+
+### 8.1.2 QoS measurement FE
+
+The QoS measurement FE supports QoS performance. When adaptive IoT applications execute on systems, the QoS measurement FE generates a QoS performance rate. The QoS rate can be
+
+generated differently according to the current system state. Thus, in order to measure an application's performance, the QoS measurement generally provides three types of rates: global QoS rate, window QoS rate and instant QoS rate:
+
+- global QoS rate: The entire average QoS rate calculated from the starting point and the ending point of the adaptive IoT application;
+- window QoS rate: The average QoS rate calculated from the window size;
+- instant QoS rate: The QoS rate calculated within a set time period.
+
+For measuring QoS performance, the QoS measurement FE consists of five components: application registration which registers adaptive IoT applications, function explorer which detects user-defined functions in the application codes, loop-statement explorer which detects do-loop and for-loops in the application code, user-defined location explorer which detects locations (e.g., a line number) marked by a user in the application code and QoS generation which measures QoS performance corresponding to functions, loop-statements and user-defined locations detected in the application code.
+
+### 8.1.3 Information processing FE
+
+The information processing FE combines an application's static information such as its PID with the application's dynamic information such as its QoS; this combined information is then transferred to the system information manager function. According to a system's environment, the application monitoring manager function must provide a communication environment in which to send the static/dynamic information to the system information manager function. In order to provide transmission, the communication mechanisms are as follows:
+
+- message queue: Message queues provide an asynchronous communications protocol, where the sender and receiver of the message do not need to interact with the message queue at the same time;
+- shared memory: Shared memory is a very fast way of communicating. However, actions must be taken to avoid issues if processes sharing memory are running on separate CPUs and the underlying architecture is not cache coherent;
+- sockets: Sockets provide point-to-point, two-way communication between two processes. Sockets are very versatile and are a basic component of inter-process and inter-system communications. A socket is a communication endpoint to which a name can be bound. It has a type and one or more associated processes.
+
+### 8.1.4 Functionality for application monitoring manager function
+
+The application monitoring manager function supports functionality to control adaptive IoT applications. Table 8-1 shows functionality for the application monitoring manager function.
+
+**Table 8-1 – Functionality for application monitoring manager function**
+
+| Functionality | Description | Parameters | Return value |
+|---------------------------------------------|------------------------------------------------------------------------------------------------------------------------|-------------------------------|---------------------------------------------|
+| Requirement extraction of users and systems | An adaptive IoT application's PID is acquired.
User and system requirements corresponding to the PID are extracted. | PID of a running application. | Character string including the requirement. |
+
+**Table 8-1 – Functionality for application monitoring manager function**
+
+| Functionality | Description | Parameters | Return value |
+|----------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|
+| Registration of adaptive IoT applications in the system information manager function | Adaptive IoT applications are registered into the system information manager function if a network connection is established. | Character string of information extracted in user and system requirements. | Message identifier generated to communicate between the adaptive IoT applications and the system information manager function |
+| Transmission of adaptive IoT application's status information to the system information manager function | Status information generated in adaptive IoT applications is transferred to the system information manager function. | Process ID,
Communication ID,
QoS ID,
Window QoS rate,
Instant QoS rate,
Global QoS rate,
Timestamp (nanoseconds). | None |
+| Adaptive IoT application receiving control result of the system information manager function | An adaptive IoT application receives a control result transmitting in the system information manager function. | QoS information. | Index of function point |
+| Control of an adaptive IoT application | An adaptive IoT application performs a proper function by using received control results. | QoS information,
Point of registered functions. | Return value regarding success or failure |
+| Disconnection of an adaptive IoT application and the application monitoring manager function | An adaptive IoT application and the system information manager function cease network communication. | PID | None |
+
+## 8.2 System information manager function
+
+The system information manager function, shown in Figure 8-3, gathers the system's static/dynamic information necessary for policy decision-making and transfers the relevant information to the policy manager function. It also includes a light-weight system information managing module for diverse IoT devices. This function includes the hardware's static information and can decide on the possible adaptive IoT application's execution and it allows the adaptive IoT application to decide compatibility and optimization.
+
+The system information manager function is used to collect and manage system information in order to raise the execution efficiency of the adaptive IoT applications. The collected information is a criterion used to decide on the workflow of the adaptive IoT applications. In addition, the manager helps the applications to execute optimally by managing system information as well as process and QoS information.
+
+
+
+Y.4453(16)\_F8-3
+
+Figure 8-3: System information manager function in ASF. The diagram shows a layered architecture. At the top is the 'Adaptive IoT application' layer containing 'Application logics' and 'Monitoring interfaces'. Below this is the 'Adaptive software framework' layer, which contains the 'System information manager function'. This function is composed of three sub-functions: 'Data coordination FE', 'Information collection FE' (which lists 'Applications', 'System', and 'Third party'), and 'Data provision FE'. Above the 'System information manager function' are the 'Application monitoring manager function' and the 'Policy manager function'. Arrows indicate data flow: 'Application static/dynamic Info. and application PID' flows from the 'Application monitoring manager function' to the 'System information manager function'; 'Application/system Info.' flows from the 'System information manager function' to the 'Policy manager function'; and 'System static/dynamic Info.' flows from the 'System and resources' layer to the 'System information manager function'. The 'System and resources' layer at the bottom contains three components: 'CPU/GPU', 'Memory', and 'Network'.
+
+**Figure 8-3 – System information manager function in ASF**
+
+The system information manager function consists of three FEs: data coordination FE, information collection FE and data provision FE. The system information manager function has two information inputs and one information output. The information is of two types: system static/dynamic information and application static/dynamic information. Static information is updated just once whenever the system information manager function is executed and dynamic information is updated periodically.
+
+### 8.2.1 Data coordination FE
+
+The data coordination FE reorganizes information acquired from systems (e.g., system static/dynamic information) and the application monitoring manager function (e.g., application static/dynamic information). Static information has one data structure corresponding to instant data. These data are classified as application, system and third-party type in real-time. Dynamic information is divided into two data structures: instant data and calculation data. The instant data (e.g., CPU activity) can be used in other modules immediately, while the calculation data (e.g., utilization) can be used with additional operations.
+
+### 8.2.2 Information collection FE
+
+The information collection FE gathers static and dynamic information in real-time for applications, systems and third parties. The system information also includes third party information collected by external modules or devices. System static information refers to fixed values regarding hardware resources (e.g., CPU, memory, network) and this information is set just once when a system begins. In general, system static information has a unique value in the system as long as hardware specific resources are not changed. This value is managed through one-time collection. System dynamic information refers to changeable values according to the system's status. Most of these values are different according to system overhead and they are updated periodically at every setup time for information collection.
+
+#### 8.2.2.1 System information
+
+The system static information, shown in Table 8-2, is in regard to CPU core, CPU frequency, memory and network. The system static information is fixed information about the hardware. If the hardware capabilities are changed, system static information is also updated. This information includes the data structure corresponding to each hardware system. The system static information is updated once whenever the system information manager function is executed.
+
+**Table 8-2 – System static information**
+
+| Information | Description |
+|---------------------|----------------------------------------------------------------|
+| The number of cores | The number of CPU cores of a current system. |
+| Max freq. of core | Maximum frequency by CPU core. |
+| Min freq. of core | Minimum frequency by CPU core. |
+| Core MIPS | Core performance presented with MIPS. |
+| Core cluster | Core cluster in CPU environment (e.g., big.LITTLE Core). |
+| Available freq. | The number of available frequency and frequency lists by core. |
+| System memory | Memory usage of system. |
+| Network interface | Network interface list to use in system. |
+
+The system dynamic information, shown in Table 8-3, is in regard to a CPU core's current state, CPU utilization, memory and network. The dynamic information can be changed according to the system's current state or users change system's resource values so that dynamic information is changed in real-time.
+
+**Table 8-3 – System dynamic information**
+
+| Information | Description |
+|-------------------------|---------------------------------------------|
+| Core activity status | Activity or inactivity of current core. |
+| Core current freq. | Frequency configured in each core. |
+| The number of threads | The number of threads to work on cores. |
+| The number of processes | The number of processes to work on cores. |
+| Core utilization | Core utilization allocated in current core. |
+| Core time | Core usage time by core managing in OS. |
+| System memory | Memory usage used in systems. |
+| Network packet | Network Tx and Rx used in systems. |
+
+#### 8.2.2.2 Application information
+
+The ASF uses the application information to decide on and find optimal solutions. For supporting the framework, the information collection FE collects and manages information regarding adaptive IoT applications registered in the framework. The application information can be static or dynamic.
+
+The adaptive IoT application's static information, shown in Table 8-4, is collected through the system information manager function. The static information consists of fixed information allocated from the OS during the adaptive IoT application's execution. This information corresponds to user requirements regarding an adaptive IoT application. The system information manager function can recognize the start and termination of an adaptive IoT application so that the function can find out exactly the period of time for which to get static information for the application. The information value manages QoS of adaptive IoT applications and the configuration information is used for tuning-up current QoS of the adaptive IoT applications. This information is set by users before the applications are executed and it is not changed until they are terminated.
+
+**Table 8-4 – Adaptive IoT application static information**
+
+| Information | Description |
+|---------------------------|----------------------------------------------------------|
+| Application program ID | Application program ID allocated by OS. |
+| Program name | Execution name of application. |
+| Program path | Absolute path of a running program. |
+| Parent process ID | Parent ID for existing parent process. |
+| Message queue ID | Message queue ID generated for information transmission. |
+| Application process type | Application type of internal or external. |
+| Max QoS | Maximum QoS available for application. |
+| Min QoS | Minimum QoS available for application. |
+| Target QoS | Target QoS to achieve in application. |
+| Application window size | Window size in QoS framework. |
+| Application sampling time | Sampling time to generate QoS. |
+| Log file | File name of logging data. |
+| Heartbeat buffer length | Buffer length of QoS record. |
+
+The adaptive IoT application's dynamic information, shown in Table 8-5, is collected through the system information manager function. The dynamic information is divided into information of the adaptive IoT application itself and the dynamic QoS of the adaptive IoT applications. The former information is updated by the OS or user configuration and the latter information is dependent on the application. The adaptive IoT application dynamic information consists of CPU, core, memory, network and QoS corresponding to the running applications.
+
+**Table 8-5 – Adaptive IoT application dynamic information**
+
+| Information | Description |
+|-----------------------|------------------------------------------------------------------------|
+| Allocated core | Core allocated in application program. |
+| The number of threads | The number of threads allocated in application program. |
+| Thread list | Thread ID list of application program. |
+| Program status | Current status of application program. |
+| Priority | Application program's priority allocated through OS. |
+| Program time | Total time used in application program. |
+| Program utilization | Utilization regarding core allocated in application program. |
+| Memory utilization | Memory utilization used in application program. |
+| Network information | Network usage used in application program. |
+| QoS timestamp | Generation time of heartbeat in application program. |
+| QoS window rate | QoS rate per time within window size allocated in application program. |
+| QoS instant rate | QoS rate per time. |
+| QoS global rate | QoS rate per time between start and current. |
+
+#### 8.2.2.3 Third-party information
+
+The third-party information, shown in Table 8-6, is provided by external modules or external devices. For example, a system's power is measured by an external device power-measuring system and the measured power-consumption data is transferred to the ASF. Besides these, other third-party information can be included whenever the information is needed by the ASF.
+
+**Table 8-6 – Example of third-party information**
+
+| Information | Description |
+|---------------------------|-----------------------------------------------------------------------------------------------|
+| Power | Power consumption used in system. |
+| Program characteristic | Program model analysed by program analyser. |
+| Kernel inside information | Kernel information such as CPU scheduler and network stack provided by kernel module program. |
+
+### 8.2.3 Data provision FE
+
+The data provision FE gets static/dynamic information regarding systems and applications from the information collection module. The data provision FE has communication facilities that efficiently transfer information gathered by the information collection module to the policy manager function. These facilities are implemented with various methods (e.g., message queue, shared memory, socket). The system information manager function should communicate with the policy manager function because the system information manager function plays an important role in deciding the optimal policy regarding adaptive IoT applications. The application/system information must be accurate in the aspect of time synchronization; this also provides information to the policy manager function for adaptive IoT applications.
+
+### 8.2.4 Functionality of system information manager function
+
+The resource monitoring interface transfers collected information to external modules, e.g., the policy manager, effectively by the system information manager. It includes two types of interfaces: system interfaces and application interface. Table 8-7 shows the functionality of the system information manager function.
+
+**Table 8-7 – Functionality of system information manager function**
+
+| Functionality | Description | Parameters | Return value |
+|-------------------------------------------|--------------------------------------------------------------------------------------|-------------|---------------------------------|
+| Transmission of system static information | This functionality reads system static information and returns the information. | None | System static information. |
+| Supply of system utilization | This functionality provides total system utilization or core utilization. | Core number | System utilization. |
+| Supply of system frequency | This functionality provides core frequency. | Core number | Frequency. |
+| Supply of application static information | This functionality reads application static information and returns the information. | PID | Application static information. |
+| Supply of application utilization | This functionality provides total application utilization or core utilization. | PID | Application utilization. |
+| Supply of application QoS | This functionality provides application QoS. | PID | Application QoS. |
+
+## 8.3 Policy manager function
+
+The policy manager function, shown in Figure 8-4, provides the features of resource estimation, performance profiling for applications and systems and policy actuation. The policy manager function supports the application for optimal system resource allocation in IoT devices. It monitors the system state in real-time and controls optimal system resource allocation.
+
+The policy manager function performs optimal utilization of system resources based on the requests of the adaptive IoT applications and system information manager function. Specifically, it analyses static and/or dynamic performance and power consumption in resources to guarantee high-performance and low power consumption through application monitoring information. It keeps the operational balance between the high-performance requirement and low-power consumption from the adaptive IoT application. Also, according to the application pattern, it predicts the amounts of power utilization and allocates the computing resource. In addition, it considers the information of available resources and details system performance information from the system information manager function.
+
+
+
+Y.4453(16)\_F8-4
+
+Figure 8-4 – Policy manager function in ASF. The diagram shows a three-layer architecture. The top layer is the 'Adaptive IoT application' containing 'Application logics' and 'Monitoring interfaces'. The middle layer is the 'Adaptive software framework' containing an 'Application monitoring manager function' and a 'System information manager function'. Below these is a 'Policy manager function' block (highlighted in yellow) which includes a 'Performance profiling FE' (listing Applications and Systems), a 'Resource estimation FE', and a 'Policy actuation FE'. The bottom layer is 'System and resources' containing 'CPU/GPU', 'Memory', and 'Network'. Arrows show data flow: 'Application/system Info.' from the top manager functions to the Policy manager function; 'System resources (CPU, core, Freq., ...)' from the Policy manager function to the System and resources layer; and a feedback loop from the Policy actuation FE back to the Monitoring interfaces labeled 'Flow change and value change and function change'.
+
+**Figure 8-4 – Policy manager function in ASF**
+
+### 8.3.1 Performance profiling FE
+
+The performance profiling FE provides the adaptive IoT application's optimization. The performance profiling is categorized into two types: adaptive IoT application profiling and system profiling. These two types of profiling are necessary, operating in parallel, to perform the adaptive IoT application's optimization. The two profiling types gather information regularly from the system information manager function.
+
+NOTE – The information includes:
+
+- application profiling information: PID, MAX QoS, MIN QoS, TARGET QoS, QoS rate, program ID;
+- system profiling information: System total CPU throughput, CPU, memory, network packet rate (Tx, Rx), power consumption, PID information (core number, CPU frequency, memory, network packet Tx, Rx, power consumption).
+
+In addition, the performance profiling FE detects various errors, such as race condition and energy bugs occurring in the adaptive IoT applications. It analyses these applications and provides optimal monitoring location candidates on their source code in order to measure QoS of the adaptive IoT applications.
+
+- for detecting these errors, the performance profiling FE consists of two components: scalable race detection is configured to inspect the likelihood of a race of an access event with respect to a shared variable generated in a parallel program to select an access event that is likely to race. Power measuring is configured to measure power consumption when the parallel program is executed, to analyse whether an energy bug has been generated;
+- for analysing monitoring location candidate, the performance profiling FE consists of four components: monitoring location analysis which detects monitoring location candidates in an input application ; monitoring range configuration which generates an analytical application using the application and the candidates; monitoring range analysis which
+
+detects monitoring range of each of the candidates through the analytical application; and monitoring environment configuration which determines which candidate has the greatest execution load (e.g., CPU utilization) as an optimal monitoring location for measuring QoS.
+
+### 8.3.2 Resource estimation FE
+
+The resource estimation FE predicts performance estimation for system resources and external estimation with external modules or third-party information. Performance estimation predicts CPU, memory and network performance. External estimation predicts power consumption from external modules. Resource estimation prediction occurs under the condition of no satisfaction regarding user requirement performance/power and system requirement performance/power.
+
+### 8.3.3 Policy actuation FE
+
+The policy actuation FE provides control for application and/or system resources through the resource estimation to guarantee the QoS performance and power.
+
+The policy actuation FE controls application resources including: program logic flow control, program parameter change and program function change.
+
+The policy actuation FE controls system resources including: CPU core on/off, core frequency, CPU dynamic voltage/frequency scaling (DVFS), memory swap and network bandwidth.
+
+### 8.3.4 Functionality of policy manager function
+
+This functionality supports the control of CPU, memory, network, etc. Table 8-8 shows the functionality of the policy manager function.
+
+**Table 8-8 – Functionality of policy manager function**
+
+| Functionality | Description | Parameters | Return value |
+|--------------------------|--------------------------------------------------------------------------------------------------------|--------------------------------------------------|-----------------|
+| CPU resource control | Performs control operation regarding CPU core operation state, frequency according to user requirement | Core number, User requirement value | Success or Fail |
+| Memory resource control | Performs memory utilization and size | Memory size, utilization rate | Success or Fail |
+| Network resource control | Performs control operation regarding window size change according to user requirement | Running program's process ID, socket information | Success or Fail |
+
+# Appendix I
+
+## An example use case and workflow for ASF
+
+(This appendix does not form an integral part of this Recommendation.)
+
+This appendix explains how the ASF manages and controls adaptive IoT applications. Figure I.1 shows an adaptive IoT application's transition of video quality, according to the application's resource policy and hardware resource conditions. The ASF is supporting, monitoring and controlling the adaptive IoT application's optimal performance. To guarantee the adaptive IoT application's optimal performance, the ASF works with the adaptive IoT application and IoT hardware resource information in real-time and in a dynamic way.
+
+
+
+Adaptive IoT applications
+
+Before
+
+Low quality
+
+ASF API running
+
+After
+
+High quality
+
+ASF API running
+
+Basic profile: fps 102
+Middle profile: fps 150
+Advanced profile: fps 202
+
+Basic profile: fps 102
+Middle profile: fps 150
+Advanced profile: fps 202
+
+Adaptive software framework
+
+Application monitoring manager function
+
+System information manager function
+
+Policy manager function
+
+IoT device
+
+CPU ... Power
+
+Y.4453(16)\_FI.1
+
+Figure I.1: ASF for IoT devices. The diagram illustrates the workflow of the Adaptive Software Framework (ASF) for IoT devices. At the top, 'Adaptive IoT applications' are shown in two states: 'Before' (Low quality) and 'After' (High quality). Both states show 'ASF API running'. To the left of the 'Before' state, the profiles are: Basic profile: fps 102, Middle profile: fps 150, Advanced profile: fps 202. To the right of the 'After' state, the profiles are: Basic profile: fps 102, Middle profile: fps 150, Advanced profile: fps 202. Below the application states is the 'Adaptive software framework' (ASF), which contains three main functions: Application monitoring manager function, System information manager function, and Policy manager function. Below the ASF is the 'IoT device', which includes CPU, ..., and Power. Two line graphs show CPU and Power usage over time, with the 'After' state showing higher usage than the 'Before' state. The diagram is labeled Y.4453(16)\_FI.1.
+
+Figure I.1 – ASF for IoT devices
+
+Figure I.2 shows a general model for an IoT service. The user is running an adaptive IoT application on a device and the device connects with the ASF. The IoT home gateway supports ASF functionality.
+
+
+
+User
+
+IoT devices
+
+ASF
+
+Adaptive SW framework
+
+IoT home gateway
+
+Y.4453(16)\_FI.2
+
+Figure I.2: Conceptual model for IoT service. The diagram shows a User (represented by a person with a cane) connected to IoT devices (represented by a smartphone and a circuit board). The IoT devices are connected to the ASF (Adaptive Software Framework) via an IoT home gateway. The ASF is represented by a box with 'Adaptive SW framework' and a graph. The IoT home gateway is represented by a box with 'IoT home gateway'. The diagram is labeled Y.4453(16)\_FI.2.
+
+Figure I.2 - Conceptual model for IoT service
+
+Figure I.3 shows when main ASF functionality is working and how the ASF is activated.
+
+First, a user sends a service request to an adaptive IoT application and receives a video streaming service from the gateway. The gateway sends high quality video service to the user. However, if the
+
+A/V QoS in the device is down, then the gateway detects heartbeat signals and the application module sends transfer heartbeat signals to the ASF engine in the gateway. Then the gateway transfers the higher-quality video streaming data to the IoT device according to the status information.
+
+
+
+```
+
+sequenceDiagram
+ participant User
+ participant IoT as IoT devices
+Applications | Resource (CPU, power)
+ participant Gateway as Home gateway
+ASF
+
+ User->>IoT: Initial setting
+ Note over IoT, Gateway: [Red dashed box]
+ IoT->>Gateway: Application static/dynamic information, PID, etc.
+ IoT->>Gateway: System resource information
+ IoT->>Gateway: Monitoring_status_detection
+ Note over IoT: Low quality
+ Gateway->>IoT: System resources control (CPU)
+ Gateway->>IoT: Application logics change
+ Note over IoT: High quality
+ IoT->>User: A/V (QoS)
+
+```
+
+The diagram illustrates the ASF procedure across three lifelines: User, IoT devices, and Home gateway. The IoT devices lifeline is divided into 'Applications' and 'Resource (CPU, power)'. The Home gateway lifeline contains the 'ASF' component. The process begins with 'Initial setting' from the User to the IoT devices. A red dashed box encloses the core ASF logic: the IoT devices send 'Application static/dynamic information, PID, etc.' and 'System resource information' to the ASF engine, followed by a 'Monitoring\_status\_detection' (marked with a red heart icon). Upon detecting 'Low quality', the ASF engine sends 'System resources control (CPU)' and 'Application logics change' back to the IoT devices, which then switches to 'High quality' status. Finally, the IoT devices deliver 'A/V (QoS)' data to the User.
+
+Sequence diagram showing the procedure example of ASF between User, IoT devices, and Home gateway.
+
+Y.4453(16)\_F1.3
+
+Figure I.3 – A procedure example of ASF
+
+# **Bibliography**
+
+- [b-ITU-T Y.2091] Recommendation ITU-T Y.2091 (2011), *Terms and definitions for next generation networks*.
+- [b-ITU-T Y.4414] Recommendation ITU-T Y.4414/H.623 (2015), *Web of things service architecture*.
+
+
+
+
+
+# SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | General tariff principles |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Terminals and subjective and objective assessment methods |
+| Series Q | Switching and signalling |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects and next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+# ITU-T
+
+TELECOMMUNICATION
+STANDARDIZATION SECTOR
+OF ITU
+
+## Y.4472
+
+(08/2020)
+
+SERIES Y: GLOBAL INFORMATION
+INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS,
+NEXT-GENERATION NETWORKS, INTERNET OF
+THINGS AND SMART CITIES
+
+Internet of things and smart cities and communities –
+Frameworks, architectures and protocols
+
+# --- **Open data application programming interfaces (APIs) for IoT data in smart cities and communities**
+
+Recommendation ITU-T Y.4472
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+## GLOBAL INFORMATION INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS, NEXT-GENERATION NETWORKS, INTERNET OF THINGS AND SMART CITIES
+
+## GLOBAL INFORMATION INFRASTRUCTURE
+
+| | |
+|-------------------------------------------|-------------|
+| General | Y.100–Y.199 |
+| Services, applications and middleware | Y.200–Y.299 |
+| Network aspects | Y.300–Y.399 |
+| Interfaces and protocols | Y.400–Y.499 |
+| Numbering, addressing and naming | Y.500–Y.599 |
+| Operation, administration and maintenance | Y.600–Y.699 |
+| Security | Y.700–Y.799 |
+| Performances | Y.800–Y.899 |
+
+## INTERNET PROTOCOL ASPECTS
+
+| | |
+|--------------------------------------------------------------------|---------------|
+| General | Y.1000–Y.1099 |
+| Services and applications | Y.1100–Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200–Y.1299 |
+| Transport | Y.1300–Y.1399 |
+| Interworking | Y.1400–Y.1499 |
+| Quality of service and network performance | Y.1500–Y.1599 |
+| Signalling | Y.1600–Y.1699 |
+| Operation, administration and maintenance | Y.1700–Y.1799 |
+| Charging | Y.1800–Y.1899 |
+| IPTV over NGN | Y.1900–Y.1999 |
+
+## NEXT GENERATION NETWORKS
+
+| | |
+|-------------------------------------------------------------------|---------------|
+| Frameworks and functional architecture models | Y.2000–Y.2099 |
+| Quality of Service and performance | Y.2100–Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200–Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250–Y.2299 |
+| Enhancements to NGN | Y.2300–Y.2399 |
+| Network management | Y.2400–Y.2499 |
+| Network control architectures and protocols | Y.2500–Y.2599 |
+| Packet-based Networks | Y.2600–Y.2699 |
+| Security | Y.2700–Y.2799 |
+| Generalized mobility | Y.2800–Y.2899 |
+| Carrier grade open environment | Y.2900–Y.2999 |
+
+## FUTURE NETWORKS
+
+| | |
+|-----------------|---------------|
+| CLOUD COMPUTING | Y.3000–Y.3499 |
+|-----------------|---------------|
+
+| | |
+|----------|---------------|
+| BIG DATA | Y.3500–Y.3599 |
+|----------|---------------|
+
+| | |
+|-----------------------------------|---------------|
+| QUANTUM KEY DISTRIBUTION NETWORKS | Y.3600–Y.3799 |
+|-----------------------------------|---------------|
+
+## INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES
+
+| | |
+|---------------------------------------------------------|----------------------|
+| General | Y.4000–Y.4049 |
+| Definitions and terminologies | Y.4050–Y.4099 |
+| Requirements and use cases | Y.4100–Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250–Y.4399 |
+| Frameworks, architectures and protocols | Y.4400–Y.4549 |
+| Services, applications, computation and data processing | Y.4550–Y.4699 |
+| Management, control and performance | Y.4700–Y.4799 |
+| Identification and security | Y.4800–Y.4899 |
+| Evaluation and assessment | Y.4900–Y.4999 |
+
+For further details, please refer to the list of ITU-T Recommendations.
+
+# Open data application programming interfaces (APIs) for IoT data in smart cities and communities
+
+## Summary
+
+A growing number of smart cities and administrations are inclined to collaborate and mutualize their efforts and resources for IoT deployments and open data sharing. This Recommendation studies the concept and potential of developing a secure open and interoperable API in the context of IoT deployment and open data management in smart cities. It analyses current solutions implemented by administrations around the world, where applicable, including those adopted by smart cities, to share their data through open and interoperable interfaces. It subsequently specifies an open and interoperable API for secure open data architecture, as well as for supporting IoT data interoperability for smart cities.
+
+This Recommendation presents a complete set of Open APIs dedicated to smart cities offering different features covering the needs of interoperable smart city framework development. In order to achieve interoperability between heterogeneous platforms and the development of smart cities, the Recommendation has proposed "interoperability points" in southbound and northbound interfaces in a smart city framework.
+
+It provides a list of core API sets focusing on data interoperability, including context data management APIs, data transactions APIs, data storage APIs and security APIs. Through the mechanism of subscriptions, it is possible to get a performant and scalable context data management. The data storage APIs allow a granular management of the saved data for all cases, in particular both for open data and private data. The data transaction APIs facilitate exposure and access to the data through a data marketplace. In addition, security and privacy APIs are seriously taken into account to provide secure data exchange.
+
+It should be noted that data interoperability with open APIs can be completed by using common data models, which is briefly discussed. Common data models built upon the collaboration with several standard fora and European projects are open for public use.
+
+The development of an interoperable framework makes smart city platforms cost efficient, flexible and extendable. Interoperability is not a choice but a must in smart city systems that embed multiple verticals.
+
+## History
+
+| Edition | Recommendation | Approval | Study Group | Unique ID* |
+|---------|----------------|------------|-------------|------------------------------------------------------------------------------|
+| 1.0 | ITU-T Y.4472 | 2020-08-29 | 20 | 11.1002/1000/14374 |
+
+## Keywords
+
+API, interoperable, IoT, open data.
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID. For example, .
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents/software copyrights, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the appropriate ITU-T databases available via the ITU-T website at .
+
+© ITU 2021
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | Page |
+|--------------------------------------------------------------------------------------------|------|
+| 1 Scope ..... | 1 |
+| 2 References..... | 1 |
+| 3 Definitions ..... | 1 |
+| 3.1 Terms defined elsewhere..... | 1 |
+| 3.2 Terms defined in this Recommendation..... | 1 |
+| 4 Abbreviations and acronyms ..... | 2 |
+| 5 Conventions ..... | 2 |
+| 6 General considerations about open APIs for IoT data in smart cities and communities..... | 2 |
+| 7 Requirements on open APIs for IoT data ..... | 4 |
+| 8 Interoperability points..... | 5 |
+| 8.1 Context Data Management API..... | 5 |
+| 8.2 Data Storage API..... | 7 |
+| 8.3 IoT data transaction management API ..... | 10 |
+| 8.4 Security API ..... | 12 |
+| 8.5 Common data models ..... | 16 |
+| 8.6 IoT device management API suite ..... | 16 |
+| 8.7 IoT service management API suite..... | 17 |
+| Appendix I – Instruction for open API implementation ..... | 18 |
+| Bibliography..... | 21 |
+
+
+
+## Recommendation ITU-T Y.4472
+
+# Open data application programming interfaces (APIs) for IoT data in smart cities and communities
+
+# 1 Scope
+
+This Recommendation proposes open and interoperable APIs for secure open data exchange, as appropriate, as well as for IoT data interoperability for smart cities.
+
+# 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+None.
+
+# 3 Definitions
+
+### 3.1 Terms defined elsewhere
+
+This Recommendation uses the following terms defined elsewhere:
+
+**3.1.1 application programming interface (API)** [b-ITU-T T.170]: A boundary across which a software application uses facilities of programming languages to invoke software services. These facilities may include procedures or operations, shared data objects and resolution of identifiers.
+
+**3.1.2 data marketplace** [b-FG-DPM TS D0.1]: An electronic marketplace whose main product is provisioning of data and/or related services around data.
+
+**3.1.3 data model** [b-ITU-T J.380.8]: A data model is a formal view of the data items contained in an information store to which an information service implementing this standard will provide access and is specified for purposes of formulating and executing queries against the information store's data.
+
+**3.1.4 interoperability** [b-ITU-T Y.101]: The ability of two or more systems or applications to exchange information and to mutually use the information that has been exchanged.
+
+**3.1.5 Internet of things (IoT)** [b-ITU-T Y.4000]: A global infrastructure for the information society, enabling advanced services by interconnecting (physical and virtual) things based on existing and evolving interoperable information and communication technologies.
+
+NOTE 1 – Through the exploitation of identification, data capture, processing and communication capabilities, the IoT makes full use of things to offer services to all kinds of applications, whilst ensuring that security and privacy requirements are fulfilled.
+
+NOTE 2 – From a broader perspective, the IoT can be perceived as a vision with technological and societal implications.
+
+### 3.2 Terms defined in this Recommendation
+
+This Recommendation defines the following terms:
+
+**3.2.1 common data models:** Common data models are schemas representing the format of the data sets. They are interoperability points between the entities exchanging data through the common data models.
+
+**3.2.2 context data (entity):** Structured data that contains status information of context entities and their related attributes and metadata. A context entity can represent everything in the real world such as users, places and devices that can be abstracted and represented using a predefined data model.
+
+**3.2.3 data monetization:** Generation of economic benefits from different data sources.
+
+**3.2.4 northbound interfaces:** Interfaces permitting a given component to communicate with other components located at a higher level.
+
+**3.2.5 open data:** Data that can be publicly accessible to all through open standards and protocols or through other means. The use and redistribution of open data can be subject to rules.
+
+**3.2.6 smart city platform:** A city platform that offers direct integration of city platforms and systems, or through open interfaces between city platforms and third parties, in order to offer urban operation and services supporting the functioning of city services, as well as efficiency, performance, security and scalability.
+
+**3.2.7 southbound interfaces:** Interfaces permitting a given component to communicate with other components located at a lower level.
+
+# 4 Abbreviations and acronyms
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|---------|------------------------------------------------------------|
+| API | Application Programming Interface |
+| ENISA | European Union Agency for Network and Information Security |
+| GSMA | GSM Association |
+| IoT | Internet of Things |
+| JSON | JavaScript Object Notation |
+| JSON-LD | JavaScript Object Notation for Linked Data |
+| M2M | Machine to Machine |
+| OASC | Open & Agile Smart Cities |
+| RDF | Resource Description Framework |
+| TMF | TM Forum |
+| XACML | extensible Access Control Markup Language |
+
+# 5 Conventions
+
+None.
+
+# 6 General considerations about open APIs for IoT data in smart cities and communities
+
+Smart cities are a key driver of large-scale IoT markets where a complex set of diverse technologies, consisting of heterogeneous IoT devices, network infrastructure, cloud systems and multiple IoT platforms, go together to provide a diverse smart city and application. The scale of the smart city use cases varies from a single local network-based system to a large-scaled cross-platform deployment. Various communication technologies are used to support the use case requirements and may include diverse IoT protocols, security and privacy, data analytics and management, service orchestration, business management, etc.
+
+Considering the heterogeneity that a smart city embeds, interoperability is a pivotal index to consider from the design phase. Yet, there are large sets of interoperability solutions that can be applied in different layers of the components, systems, platforms, networks and services. The challenges become greater when it comes to a federation of the smart city systems, while the needs grow.
+
+Instead of adding another complexity to thousands of existing solutions on interoperability of smart cities and further federation of two or more smart city platforms, this Recommendation is focusing on "data". The communication network protocols or protocols for platforms depend on the city infrastructure, budget, engineering, environment, etc. The common goal of the different smart cities is eventually the interoperability of the generated and obtained data for creating services. The need of open application programming interfaces (Open APIs) for IoT data lies on this point. The IoT data includes open data and also private data.
+
+In order to ensure data interoperability between smart city platforms with minimal costs, "interoperability points" are introduced below. The core open APIs are defined to connect the interoperability points.
+
+Interoperability points represent the main technical interfaces between smart cities' platform and external systems. Interoperability points are also a way to access basic smart city IoT functionalities and in particular to consume and provide data. They assure the replicability of solutions (i.e., services, applications) on different smart cities that are compliant to them, and they are completely decoupled from the specific technological implementation and deployment of the architectural components. Interoperability points are the logical and conceptual representation of a set of open APIs that can be concretely instantiated to provide a technologically-specific implementation.
+
+
+
+The diagram illustrates the concept of interoperability points. It is divided into two main sections by dashed lines. The top section, labeled 'Interoperability points', contains three rectangular boxes, each labeled 'API'. The bottom section, labeled 'Technological implementation', contains five circular nodes. Lines connect the API boxes to the circular nodes: the first API box connects to the first two circles, the second API box connects to the third circle, and the third API box connects to the last two circles. This visualizes how a single logical API can be implemented by multiple different technological components.
+
+Y.4472(20)\_F01
+
+Diagram illustrating Interoperability points. It shows three API boxes at the top, each connected by lines to two circles below. The top section is labeled 'Interoperability points' and the bottom section is labeled 'Technological implementation'.
+
+**Figure 1 – Interoperability points**
+
+In general, there are two interoperability points in a generic smart city platform:
+
+- **Southbound interfaces:** represent the main way for interacting with IoT devices/middleware and managing relevant IoT data. They include a set of interfaces used to connect a smart city platform to heterogeneous IoT devices and middleware. The southbound interfaces are intended to be exchanging IoT data with a smart city platform, hiding the complexity of the IoT protocols and communication issues, which are not covered by this Recommendation.
+- **Northbound interfaces:** include a set of interfaces that provide IoT data and its elaboration to the external system and application interacting with the smart city platform. The northbound interfaces described in this Recommendation are not all those possible to be provided by a generic smart city platform, but only the basic ones which constitute an interoperability layer for IoT data provisioning.
+
+
+
+Y.4472(20)\_F02
+
+Figure 2 – Northbound and southbound interfaces. The diagram shows a layered architecture. At the top is a box labeled 'Applications/services'. Below it is a box labeled 'Interoperability points (Northbound)'. Below that is a box labeled 'Smart city platform'. Below that is a box labeled 'Interoperability points (Southbound)'. At the bottom is a box labeled 'IoT devices/middleware'. Double-headed vertical arrows connect 'Applications/services' to 'Interoperability points (Northbound)'. Double-headed vertical arrows connect 'Interoperability points (Southbound)' to 'IoT devices/middleware'. The arrows between 'Interoperability points (Northbound)' and 'Smart city platform', and between 'Smart city platform' and 'Interoperability points (Southbound)', are single-headed and point downwards. The arrows between 'Interoperability points (Southbound)' and 'IoT devices/middleware' are labeled 'IoT data'.
+
+**Figure 2 – Northbound and southbound interfaces**
+
+# 7 Requirements on open APIs for IoT data
+
+The adoption of open APIs in smart cities and communities is a key enabler for the digital transformation of such ecosystems. To address this, stakeholders agree on a set of common expectations that allows the shaping of the following high-level requirements to be met by any open API in the IoT and smart city domain. The stakeholders are firstly the citizens living in smart cities, the authorities, the third-party service providers and any organization involved in the management of smart cities.
+
+**Context awareness and management:** Context information is intended as structured data that contains status information about entities in the real world (e.g., sensor information in a smart city). The APIs have to provide support for (real-time) context management, allowing for instance to publish, consume and subscribe to context information.
+
+**Enable semantic interoperability:** Semantic interoperability is enabled through the support, availability and future extension of data models, ontologies and controlled vocabularies to cover different needs of heterogeneous applicative domains.
+
+**Enabling the deployment of the corresponding data marketplace:** The deployment fosters data transactions and monetization.
+
+**Extensibility:** The API should be extensible to fulfil new functionalities not yet defined.
+
+**Interoperability between heterogeneous technologies feeding information to the data repository:** The API has to be designed to simplify the interoperability between existing smart city and IoT platforms.
+
+**Openness:** The APIs have to be accessible without (or with very limited) restriction by external users (e.g., developers) in order to foster their adoption and the reuse of data.
+
+**Open standards:** The APIs have to be based on open standards that are publicly available and, preferably, promoted by international organizations. This allows to avoid the technological fragmentation of the API specification while supporting the no-vendor lock-in principle.
+
+**Privacy by design:** The APIs should comply with privacy by design and personal data minimization principles. It should ensure compliance with applicable data protection regulations and preserve data subject rights.
+
+**Reliable and resilient accessibility:** The APIs need to consume the exposed contextual data whilst guaranteeing that data is consistent in all its dimensions (time and content).
+
+**Security by design and easy integration with encryption, authentication and authorization frameworks:** The APIs have to comply with the security by design principle and the most relevant standard protocols and techniques to address critical security, integrity and privacy issues. Access to the different APIs mentioned in this Recommendation is ensured by HTTPS transmissions with valid certificates.
+
+**Support for machine-readable data:** The APIs are, by definition, based on a machine-readable format, but it is also necessary that it supports the exchange of machine-readable data and metadata formats (e.g., JSON, XML). Therefore, it will enable data processing by third-party applications and systems.
+
+**Semantic web support:** The APIs have to be designed to satisfy the need for semantic data, including support for semantic languages (e.g., RDF), linked-data data formats (e.g., JSON-LD), and specific query languages.
+
+**Support for data-intensive and real time:** The IoT and smart city domain can be characterized by the intensive (near) real-time data production that requires the use of specific technologies to access data under strict real-time and performance constraints while preserving its accuracy. The APIs have to support these types of technologies.
+
+# 8 Interoperability points
+
+The APIs listed in Table 1 are identified as interoperability points.
+
+**Table 1 – Interoperability points**
+
+| Interoperability points | Description | Southbound/Northbound |
+|-------------------------------------|-------------------------------------------------------------------------------------------|-----------------------|
+| Context Data Management API | Provide interfaces to manage IoT context data information | Southbound/Northbound |
+| Data Storage API | Provide interfaces to access, in a uniform way, different private and open data | Northbound |
+| IoT Data Transaction Management API | Provide interfaces to manage IoT data lifecycle and monetization process | Northbound |
+| Security API | Provide interfaces to manage security primitives such as authorization and authentication | Southbound/Northbound |
+| Common data models | A set of common data models that enable semantic interoperability in IoT data exchange | Southbound/Northbound |
+
+### 8.1 Context Data Management API
+
+The Context Data Management API provides a standard way to manage and publish context information which comes from IoT devices and middleware. Context data represents information about real-world entities provided by several data sources such as IoT devices.
+
+More specifically, the Context Data Management API consists of the set of APIs described in clauses 8.1.1 to 8.1.3:
+
+- **Manage Context API:** provides methods for the creation, modification, and deletion of context entities. Input entities are issued with their attributes, in either a normalized way, by issuing structures, attributes, values and related data types, or in a compact way, by issuing
+
+attributes directly as key-value pairs. In addition, it will be possible either to update or remove one or more entities as well as only specific attributes from each entity.
+
+- **Query Context API:** provides methods for the discovery and retrieval of entities in the context data management component. Filters can be applied to refine the queries and only access entities that match specific metadata (e.g., id, entity type, etc.) or attributes' values. A query could be composed of a list of statements, each of them expressing a matching condition, and return all the entities that match all the matching conditions.
+- **Content Subscription API:** provides methods to manage the subscriptions to asynchronous notification events about entity updates. It allows subscription to specific context entities, so when any update occurs on them, the subscriber application/service receives an asynchronous notification.
+
+
+
+```
+
+sequenceDiagram
+ participant IoT as IoT middleware
+ participant CM as Context management API
+ participant QCA as Query context API
+ participant SA as Subscription API
+ participant App as Application
+
+ IoT->>CM: createEntity(e1)
+ IoT->>CM: updateEntity(e1)
+ App->>QCA: queryEntity(q1)
+ QCA-->>App: e1
+ App->>SA: subscribe(e1)
+ SA->>App: notify(e1)
+
+```
+
+The diagram illustrates the interactions between five components: IoT middleware, Context management API, Query context API, Subscription API, and Application. The IoT middleware sends 'createEntity(e1)' and 'updateEntity(e1)' messages to the Context management API. The Application sends a 'queryEntity(q1)' message to the Query context API, which returns 'e1' as a response. The Application also sends a 'subscribe(e1)' message to the Subscription API, which then sends a 'notify(e1)' message back to the Application.
+
+Sequence diagram showing interactions between IoT middleware, Context management API, Query context API, Subscription API, and Application.
+
+**Figure 3 – Sequence diagram showing the interactions with the Context Data Management API**
+
+#### 8.1.1 Manage Context API
+
+See Table 2.
+
+**Table 2 – Manage Context API**
+
+| Interface | Operation | Parameters |
+|---------------------|------------------------------------------------|-----------------------------|
+| createEntity | allow to create new context data entity | entity |
+| deleteEntity | delete an existing entity | entityId |
+| updateEntity | update/delete entity attributes | entityId, attributes |
+
+#### 8.1.2 Query Context API
+
+See Table 3.
+
+**Table 3 – Query Context API**
+
+| Interface | Operation | Parameters |
+|--------------------|---------------------------------------------------------|-------------------------|
+| getEntity | retrieve a specific entity | entityId |
+| queryEntity | retrieve entities which matches a specific query | entityId, filter |
+
+#### 8.1.3 Subscription API
+
+See Table 4.
+
+**Table 4 – Subscription API**
+
+| Interface | Operation | Parameters |
+|------------------------|---------------------------------------------------------|-------------------------------|
+| subscribeEntity | create a subscription to receive context updates | subscription, entityId |
+| notify | send a notification | notification |
+
+### 8.2 Data Storage API
+
+The Data Storage API provides a standard way to access the data storage management component which allows for storing historical raw and aggregated time series information about the evolution of context data.
+
+The data storage management component provides the functionalities that allow access to different storage technologies (e.g., different databases or cloud repositories) and exposes a uniform data storage interface. Data managed by this component can be classified into two types:
+
+- Public or open data: provided without any restriction or with an open license that explicitly defines the rights to access, use and sharing the data.
+- Private data: provided with strict restrictions (e.g., allow only access and use for specific purposes, sharing is typically not allowed); this category may include personal data, telecommunications data and energy supplier data.
+
+Moreover, data can be distinguished between:
+
+- actual data: with current values;
+- historical data: including historical data over a period of time.
+
+To access these two types of data, the data storage interface often provides two different kinds of APIs:
+
+- **Private Data set API:** enables authorized users to access data through provided methods to retrieve both historical raw and aggregated time series information. These series can be provided according to specific temporal aggregation methods, such as mean, max, min values, etc.
+- **Open Dataset API:** provides a unique access point to search and discover open data sets, including historical data where applicable, which come from different open data management systems (ODMS) portals.
+
+These two APIs are described in clauses 8.2.1 and 8.2.2.
+
+#### 8.2.1 Private Data set API
+
+Data sets are *private*. Table 5 describes the Private Data Set API.
+
+**Table 5 – Private Data Set API**
+
+| Interface | Operation | Parameters |
+|---------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------|
+| search | Get the results of a search.
For example, a search with the query "q=open+street+map" returns these results:
{ "count": 5, "results": ["open-street-map-sample-file", "transport-the-18th-century-cassini-roads-and-cities-dataset", "transport-exports-by-mode-of-transport-1966", "transport-traffic-commissioners-local-bus-service-registration", "food-hygiene-rating-scheme-camden"] } [b-CKAN]
| The query composed by words separated by the "+" character
Respond "403 Unauthenticated" to inform that this is a private data set.
|
+| authenticate | Post the credentials of the user. | User's credentials. |
+
+In most cases, authentication is needed to access private data sets; however, data owners may give access to anyone without any technical barriers or identity control.
+
+Authentication is handled typically by API Proxy using OAuth standards. Generally, OAuth in its actual version 2.0 provides clients with a "secure delegated access" to server resources on behalf of a resource owner.
+
+In the standard case, the server exchanges the authorization code for an access token by making a POST request to the authorization server's token end point: `grant_type=authorization_code`.
+
+#### 8.2.2 Open data set API
+
+Data sets are *public* [b-CKAN]. Table 6 describes the Open data set API.
+
+**Table 6 – Open data set API**
+
+| Interface | Operation | Parameters |
+|---------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------|
+| Search | Get the results of a search.
For example, a search with the query "q=open+street+map" returns these results:
{ "count": 5, "results": ["open-street-map-sample-file", "transport-the-18th-century-cassini-roads-and-cities-dataset", | The query composed by words separated by the "+" character
|
+
+**Table 6 – Open data set API**
+
+| Interface | Operation | Parameters |
+|---------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------|
+| | "transport-exports-by-mode-of-transport-1966", "transport-traffic-commissioners-local-bus-service-registration", "food-hygiene-rating-scheme-camden"]
}
[b-CKAN]
| |
+| Get | Get the data from a specific data set.
For example, the results of the operation are:
{ "count": 32, "display_name": "test-date", "name": "test-date" } [b-CKAN]
| The name of the data set |
+| Update | Update the data of a specific data set.
For example, if a modification is done through this operation, the results are:
{ "count": 32, "display_name": "test-date-updated", "name": "test-date-updated" } [b-CKAN]
| The name of the data set |
+| View | View the content of a specific data set.
For example, this operation displays these results:
{ "count": 32, "display_name": "test-date-updated", "name": "test-date-updated", "tags": "education" } [b-CKAN]
| The name of the data set |
+
+CKAN is in use by numerous governments, organizations and communities around the world; currently the majority of open data sets globally are available and can be exposed via CKAN standards (ckan.org), originally from OKF (okf.org).
+
+The data management via CKAN is described in the Data Management API (REF); in using the API you will be performing HTTP requests to URLs like: /api/rest/dataset with this returning data in the JSON format.
+
+### **8.3 IoT data transaction management API**
+
+The IoT data transaction management API provides visibility and accessibility to data sets and streams gathered in urban environments and published on a data marketplace, which acts as a catalogue for easy sharing and trading. Data available on data transaction systems such as marketplaces adheres to standardized data formats, thus making it easy for application developers, which are data consumers, to move their services across different cities. On top of that, data providers can specify data license agreements and service level agreements when offering their data, which gives data consumers a guarantee of what their rights to use and redistribute data are, as well as what they can expect from the quality of data delivery, improving their trust and confidence to commit to subscribe to data sources.
+
+The conceptual model of a marketplace for IoT data is shown in Figure 4. It captures the core abstractions of its architecture which provide the key concepts enabling interaction with the platform. The figure also includes optional conceptual elements represented in dashed lines: even if not compulsory, their implementation would enrich the basic functionality of the marketplace with features that may be required by a subset of users/stakeholders. At the core of the model is the notion of data offering. A data offering is related to a single data source, a digital asset registered into the marketplace by a data provider. A data source has an end point used to access it. When a data offering is published on the marketplace by a data provider, it becomes discoverable by data consumers, who may acquire access to the end point of the data source that a data offering is related to. Optionally, external data sources (e.g., data sets already published in open data portals) can be imported into the marketplace by data providers which can then publish related offerings. Several data offerings may refer to the same data source and provide different data license agreements and price plans. Optionally, a service level agreement could be defined which gives data consumers a guarantee of what they can expect from data delivery (e.g., number of data messages over a given period, data completeness). The marketplace could optionally provide a reputation feature that allows data consumers to set a rating score to a data offering they acquired access to or update a previous rating score.
+
+
+
+Y.4472(20)\_F04
+
+Figure 4: Conceptual model of the marketplace for IoT data. The diagram shows entities and their relationships: Data provider (1) Has (0..\*) Data source (0..1) and Publishes (0..\*) Data offering (0..\*). External data source (0..\*) Imports (0..\*) Data source. Data source (0..1) Has (0..\*) End point (1). Data offering (0..\*) Has (0..\*) Price plan (1) and (0..\*) Licence (1). Price plan (1) Has (0..\*) Licence (1). Licence (1) Has (0..\*) Data consumer (0..\*). Data offering (0..\*) Discovers (0..\*) Rating (0..\*). Rating (0..\*) Set/update (0..\*) Data consumer (0..\*). Data consumer (0..\*) Access (0..\*) End point (1). Price plan (1) Has (0..\*) Pay per use, Recurring (Subscription), One time, and Free of charge. Service level agreement (0..1) Has (0..\*) Licence (1). Licence (1) is a generalization of Standard licence and Personalized licence.
+
+**Figure 4 – Conceptual model of the marketplace for IoT data.**
+**Optional conceptual elements are represented in dashed lines.**
+**[b-SynchronicityMarketplace]**
+
+The marketplace may be accessible through the IoT Data Transaction Management API which can also expose a web portal where data providers and data consumers can interact with the platform (e.g., publish offerings, discover and acquire offerings). Identity management, authentication, authorization and accounting functionalities are ensured by a security component integrated with the marketplace and discussed in the next section. The main functionalities exposed by the IoT data transaction management API are listed in Table 7.
+
+**Table 7 – Main functionalities exposed by the IoT Data Transaction Management API**
+
+| API | Functionality exposed | Description |
+|-------------------------------------|------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------|
+| IoT Data Transaction Management API | publishDataOffering() | Create a new data offering in the marketplace catalogue. License agreement and price plan is attached to the offering. Optionally, SLA can be set. |
+| | searchDataOffering() | Look up data offerings in the catalogue. Filters (e.g., data type, location) can be applied. |
+| | acquireDataOffering() | Acquire access to a specific data offering by receiving an access token. |
+
+Figure 5 shows two sequence diagrams that illustrate the main interactions of two different types of users, data providers and data consumers, with the IoT Data Transaction Management API.
+
+
+
+The figure contains two sequence diagrams. The left diagram shows a 'Data provider' (actor) interacting with the 'IoT data transaction management API' (boundary). The provider sends a 'publishDataOffering()' message to the API, and the API returns a dashed message: 'Data offering added to the data provider stock/catalogue'. The right diagram shows a 'Data consumer' (actor) interacting with the 'IoT data transaction management API' (boundary). The consumer sends 'searchDataOfferings()' and 'acquireDataOffering()' messages to the API. The API returns dashed messages: 'Available data offerings' and 'Data offering added to the data consumer inventory'. Lifelines for the actors and the API are shown as vertical bars with dashed lines extending downwards.
+
+```
+
+sequenceDiagram
+ actor DP as Data provider
+ participant API as IoT data transaction management API
+ DP->>API: publishDataOffering()
+ API-->>DP: Data offering added to the data provider stock/catalogue
+
+ actor DC as Data consumer
+ participant API2 as IoT data transaction management API
+ DC->>API2: searchDataOfferings()
+ API2-->>DC: Available data offerings
+ DC->>API2: acquireDataOffering()
+ API2-->>DC: Data offering added to the data consumer inventory
+
+```
+
+Y.4472(20)\_F05
+
+Figure 5: Sequence diagrams showing interactions of a data provider (left) and a data consumer (right) with the IoT Data Transaction Management API.
+
+**Figure 5 – Sequence diagrams showing the interactions of a data provider (left) and a data consumer (right) with the IoT Data Transaction Management API**
+
+### 8.4 Security API
+
+The security interface provides a unified approach for the management of security policies as a viable and scalable means to define and enforce security rules consistently among the large variety of accessible resources (e.g., IoT devices, data and services).
+
+With respect to the standard identity management, authentication, authorization and accounting components which reflect the OASIS security standard (e.g., XACML, oneM2M, GSMA, and ENISA) policy management is decoupled from devices and services. Policy can be managed independently, thus focusing on providing business value and compliance to data protection regulations. Key management, encryption, digital signature and data anonymization functionalities are directly linked to resources and governed by the policy management so that implementation of changes and enforcement are simplified by deploying policies on the fly affecting each point of use immediately. The main APIs that constitute the security interface are described next.
+
+**Identity and Authentication Management API:** allows the registration, import and management of users and roles and to perform authentication. Upon successful registration an identifier is assigned to the users. The latter can also be registered by importing information from an external source. The API allows authentication to be performed by receiving user credentials, interacting with the authorization component and issuing authentication tokens. Users with admin privileges can retrieve, update and delete users required to pass the user identifier to the API, specifying which operation has to be performed and the respective additional information. In this case the API will return the outcome of the operation (e.g., success, fail).
+
+**Authorization and Accounting Management API:** grants or denies permission to access resources and to log access requests by communicating with the identity and authentication management and the policy management API.
+
+**Policy Management API:** allows the creation, retrieval, update and deletion of authorization policies. Policies might be simply based on the roles that users have in the system or embed more complex rules specified in a standard mark-up language (e.g., XACML).
+
+**Data Protection and Privacy Management API** provides functionality to ensure confidentiality, authentication, integrity, non-repudiation, data minimization, data retention and consent capabilities around the collection and dissemination of data. It provides methods to encrypt/decrypt data, digitally sign data (and verify signatures), and anonymize data using specific algorithms opportunistically selected. Figure 6 illustrates the sequence diagram of the interactions between the APIs of the security interface in a data access request. A description of such interactions which highlights specific components of the APIs is detailed next.
+
+The data consumer (e.g., a service developer that has acquired access to a specific data source via the marketplace) sends an authentication request (login) to the Identity and Authentication Management API, which then responds with an access token that the user will need to use to access the resource (data source). When the user wants to access a data source, he sends an access request to the authorization and accounting management API. If XACML is used, the request is intercepted by the authorization PEP proxy sub-component which gets authorization info from the token (i.e., the user role) and checks the validity and status of the token through the Identity and Authentication Management API. Eventually, the authorization PDP sub-component evaluates the access request after retrieving the authorization policy from the Policy Management API. Depending on this decision, the PEP proxy blocks or forwards access to the resource (through the context data management API). To track the amount of resources accessed, access information is logged into the accounting sub-component of the Authorization and Accounting API.
+
+
+
+```
+
+sequenceDiagram
+ participant DC as Data consumer
+ participant IAM as Identity and authentication management API
+ participant AAM as Authorization and accounting management API
+ participant PM as Policy management API
+ participant R as Resource
+
+ DC->>IAM: authenticate()
+ IAM-->>DC: Access token
+ DC->>AAM: accessRequest()
+ AAM->>IAM: checkAccessToken()
+ IAM-->>AAM: Response: OK
+ AAM->>PM: retrievePolicy()
+ PM-->>AAM: Policy
+ AAM->>AAM: evaluateAccessRequest()
+ AAM->>R: accessRequest()
+ R-->>DC: Data
+ AAM->>AAM: logAccess()
+
+```
+
+Y.4472(20)\_F06
+
+Sequence diagram showing interactions between APIs of the security interface in a data access request. The diagram involves five lifelines: Data consumer, Identity and authentication management API, Authorization and accounting management API, Policy management API, and Resource. The sequence of interactions is: 1. Data consumer calls authenticate() on Identity and authentication management API. 2. Identity and authentication management API returns Access token to Data consumer. 3. Data consumer calls accessRequest() on Authorization and accounting management API. 4. Authorization and accounting management API calls checkAccessToken() on Identity and authentication management API. 5. Identity and authentication management API returns Response: OK to Authorization and accounting management API. 6. Authorization and accounting management API calls retrievePolicy() on Policy management API. 7. Policy management API returns Policy to Authorization and accounting management API. 8. Authorization and accounting management API performs a self-call evaluateAccessRequest(). 9. Authorization and accounting management API calls accessRequest() on Resource. 10. Resource returns Data to Data consumer. 11. Authorization and accounting management API performs a self-call logAccess().
+
+**Figure 6 – Sequence diagram showing the interactions between the APIs of the security interface in a data access request**
+
+The sequence diagram in Figure 7 shows the interactions between the APIs of the security interface for creating and retrieving a security and privacy policy. The data protection and privacy management API enforces security and privacy measures previously defined, such as encryption and anonymization, defined by a policy admin through the Policy Management API, directly on the resource (e.g., data).
+
+
+
+```
+
+sequenceDiagram
+ participant Client as Policy admin.
+REST client
+ participant PMAPI as Policy
+management
+API
+ participant DPMAPI as Data protection
+and privacy
+management API
+
+ Client->>PMAPI: createPolicy()
+ PMAPI-->>Client: Response: OK
+ DPMAPI->>PMAPI: retrievePolicy()
+ PMAPI-->>DPMAPI: Policy
+
+```
+
+Y.4472(20)\_F07
+
+Sequence diagram showing interactions between Policy admin. REST client, Policy management API, and Data protection and privacy management API. The client calls createPolicy() on the Policy management API, which returns Response: OK. Then, the Data protection and privacy management API calls retrievePolicy() on the Policy management API, which returns Policy.
+
+**Figure 7 – Sequence diagram showing the interactions between the APIs of the security interface for creating and retrieving a security policy**
+
+The main functionalities exposed by the APIs of the security interface are listed in Table 8.
+
+**Table 8 – Main functionalities exposed by the APIs of the security interface**
+
+| API | Functionality exposed | Description |
+|----------------------------------------------------|--------------------------------|--------------------------------------------------------------------------------------------------|
+| Identity and Authentication Management API | register() | Sign up new user |
+| | authenticate() | Sign in user |
+| | checkAccessToken() | Check the validity and status of the access token |
+| Authorization and Accounting Management API | accessRequest() | Handle resource (data) access requests from users |
+| | logAccess() | Log access information |
+| | evaluateAccessRequest() | Evaluate the access request against a specified policy |
+| Policy Management API | createPolicy() | Define authorization policies (e.g., role based) as well as security and privacy measures |
+| | updatePolicy() | Update an authorization policy |
+| | retrievePolicy() | Get a particular authorization policy |
+| | deletePolicy() | Erase an authorization policy |
+| Data Protection and Privacy Management API | encrypt() / decrypt() | Encrypt / decrypt data |
+| | sign() | Digitally sign data |
+| | verify() | Verify signature |
+| | anonymize() | Anonymize data using a specified algorithm |
+
+### 8.5 Common data models
+
+One of the core elements in this Recommendation refers to the adoption of common data models for representing the information linked to the observations. When considering the interoperability as a means for breaking the vertical silos that have been characterizing the urban ecosystems, it is mandatory to adopt homogeneous data models agreed by the different stakeholders. In this way the synergies between services can be put into practice. Just as an example, a waste management company can share real-time information related to the positions of the trucks along the city streets. Sharing that information with the traffic management department allows car drivers to have access, in real time, to information related to those streets which should be avoided due to potential traffic congestion. Further to this, when data is provided with the corresponding ontologies, the closer we are to implementing true autonomic cities. This means that thanks to data interoperability between services, knowledge acquisition is faster and more reliable fostering decision making without human intervention.
+
+In terms of design and implementation, data models have to be conceived to gather most of the usual needs linked to the urban services. Furthermore, they have to be easily scaled according to new requirements imposed by the evolution of the technology and the urban ecosystems' own characteristics.
+
+Last but not least, in the same way that infrastructure federation is becoming a reality, data federation will become a key enabler in optimizing intercity interactions. Thus, providing an optimization opportunity which will go beyond the legacy local approaches.
+
+### 8.6 IoT device management API suite
+
+From a smart city point of view, one of the most fundamental issues is setting up the management of IoT devices. These APIs are managing IoT devices and IoT agents, which are collections or federations of IoT devices. What is important is that the suite provides a normalized interface to configure and manage the IoT device, get alarms, configure and monitor IoT devices, and provide secure access to them. The same set of open APIs can be deployed in the silicon of the IoT device or used by an agent.
+
+It includes APIs for:
+
+- IoT device inventory
+- IoT device onboarding
+- IoT device discovery
+- IoT device type management
+- IoT state management
+- IoT alarm management
+- Streaming of IoT data events
+- Streaming of IoT management events
+- IoT configuration management
+- IoT data multi-protocol data access MQTT and NGSI-LD
+- IoT API authorization
+
+An example of such a suite is the TMF IoT Device Management Suite of APIs. [b-TMF908]
+
+### **8.7 IoT service management API suite**
+
+The ability to create services around all the IoT device data that is collected within the smart city is essential.
+
+The TMF IoT Service Management API allows the building of services based on the data provided by the IoT devices through the IoT device management APIs.
+
+It includes APIs for:
+
+- IoT service inventory
+- IoT service onboarding
+- IoT service discovery
+- IoT service type management
+- IoT service state management
+- IoT service problem management
+- Streaming of IoT service data events
+- Streaming of IoT service management events
+- IoT service configuration management
+- IoT service data multi-protocol data access MQTT and NGSI-LD
+- IoT service test management
+- IoT service API authorization
+
+An example of such a suite is the TMF IoT Service Management Suite of APIs [b-TMF914].
+
+# Appendix I
+
+### Instruction for open API implementation
+
+(This appendix does not form an integral part of this Recommendation.)
+
+This appendix explains implementation guidelines. The technical activities of each smart city platform compliance can vary in terms of both complexity and duration but it is possible to define some milestones: Figure 1 describes this approach presenting four progressive steps with different levels of compliance with the open APIs that can be reached by cities indicating different degrees of interoperability with the platform:
+
+
+
+```
+graph LR; A[Asset identification] --> B[Adaptation of open APIs]; B --> C[Applying common data models]; C --> D[Data services with IoT data transaction];
+```
+
+A horizontal flow diagram showing four progressive steps in blue chevron-shaped boxes: 'Asset identification', 'Adaptation of open APIs', 'Applying common data models', and 'Data services with IoT data transaction'. The boxes are connected by white chevrons pointing to the right. The text 'Y.4472(20)\_FI.1' is located at the bottom right of the diagram.
+
+**Figure I.1 – Compliance levels of the open API framework**
+
+In the following section are described in detail the different phases and potential activities to perform in order to reach the specific compliance level.
+
+| Level 0 – Initial situation: proprietary/specific systems/API |
+|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| The existing smart city platform is made and not compliant with open APIs. The IoT infrastructure and software platforms are managed/owned by the municipality of external providers. The IoT devices communicate with the infrastructure using specific/proprietary protocols. The data is accessible through specific/proprietary API. The data models are specific, not aligned with open standards. All the systems and applications are strictly tailored by the specific municipalities. |
+| Level 1 – Entering interoperability process: asset identification |
+| The cities want to achieve data interoperability with the open APIs and defined a technical interoperability architecture in order to make the existing IoT infrastructure compliant with the specifications of this Recommendation (interoperability points). The cities identified which data sets and services can be brought for the work. |
+| Activities to be performed to achieve the level |
+| The technical activities in this stage should be focused on two different tracks: the identification of the possible interactions between the IoT infrastructure of the city and the open API framework, estimating the minimum technical requirements needed to implement the "interoperability points". In this phase, it should be identified which components (hardware and software) of the existing city infrastructure have to be adapted using specific connectors or data injectors to convert native interfaces (e.g., REST API) to the open APIs. In parallel, it is necessary to investigate and identify which data sets should be exposed following the open API specifications: these data sets can include, for instance, real-time data coming from IoT devices, historical and open data, micro-services data. |
+| Mandatory requirements |
+| Knowledge of the open APIs framework and interoperability points specifications |
+| Optional requirements |
+| N/A |
+
+| |
+|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Level 2 – Implementation of the open APIs |
+| A city implemented the open APIs: city data sets are accessible through open and standard interfaces that represent the main interoperability points with the open APIs framework. |
+| Activities to be performed to achieve the level |
+| The activities inside the city are devoted to the provisioning of the data using open and standard APIs: the city should work together with the technical partners to adapt the existing interfaces to the open APIs, in particular to the context management one. The city can use existing software components or can develop a specific software adapter to inject data into the context data management component. This can be considered the first step to share the city data with the open APIs and be part of the ecosystem. |
+| Mandatory requirements |
+| - • Implementation context management APIs for real-time data provisioning (Interoperability points)
- • Implementation of security APIs to be compliant with the open APIs authentication and authorization (Interoperability points)
|
+| Optional requirements |
+| - • Implementation of data storage API to give access to the city's historical data (Interoperability points) and open data repositories
|
+
+| |
+|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Level 3 – Adoption of common data models |
+| The city adopts common data models to represent the city data. The common data models are domain specific and their usages enable the replicability of the applications and services based on them between different cities. |
+| Activities to be performed to achieve the level |
+| The city has to map its own legacy data models with common data models in order to select the most suitable ones for the specific smart city domains. The common data model can be extended or new ones can be created to represent new entities or attributes which are not covered by the current ones. The ones identified and mapped to the correct data model specific adapters should be implemented to convert the original data in the new format.
As a reference, EU H2020 SynchroniCity project provides tools and guidelines to speed up the mapping and conversion of the city data.
|
+| Mandatory requirements |
+| - • Adoption of common data models (Interoperability points)
|
+| Optional requirements |
+| N/A |
+
+| |
+|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Level 4 – Data transaction ecosystem participation |
+| The city is fully part of the open API ecosystem by actively participating in the data transaction of the city data using the open APIs. The city data is included in a data marketplace catalogue that supports the open APIs and can be accessed by third-party applications and external stakeholders. The marketplace supports also monetization mechanisms allowing, for instance, to sell real-time or specific historical data sets. The active participation to the marketplace enables the concrete realization of a digital single market. |
+| Activities to be performed to achieve the level |
+| From a technical point of view, a city, being compliant with the previous levels, is ready to be part of a marketplace built upon the open APIs. The city can also decide to access an existing data marketplace or to install a specific version customized for the city's local ecosystem. If the city already has a marketplace supporting the open APIs, it could be federated to the other marketplaces using the same open APIs. In this case, limited technical activities will be necessary to implement the federation.
In addition to that, the city will be involved in other business and strategic decisions to define the terms and approaches to be part of the other marketplace (e.g., proper handling of ownership, service access terms, data licenses etc.). It will be possible to have different levels of integration starting from the simple participation to the marketplace catalogue, to promote specific data assets, up to supporting all the other functionalities, such as revenue sharing, feedback collection, SLA management etc.
|
+| Mandatory requirements |
+| - • Compliance with data transaction APIs (Interoperability points)
|
+| Optional requirements |
+| - • Deployment of a local marketplace instance
|
+
+# Bibliography
+
+- [ITU-T J.380.8] Recommendation ITU-T J.380.8 (2011), *Digital program insertion – Advertising systems interfaces – General information service*.
+- [b-ITU-T T.170] Recommendation ITU-T T.170 (1998), *Framework of the T.170-Series of Recommendations*.
+- [b-ITU-T Y.101] Recommendation ITU-T Y.101 (2000), *Global Information Infrastructure terminology: Terms and definitions*.
+- [b-ITU-T Y.4000] Recommendation ITU-T Y.4000/Y.2060 (2012), *Overview of the Internet of things*.
+- [b-CKAN] CKAN (accessed 2020)
+<>
+- [b-FG-DPM TS D0.1] ITU-T Technical Specification D5 (2019), *Data economy: commercialization, ecosystem and impact assessment*.
+<>
+- [b-SynchronicityMarketplace] SynchroniCity Project (accessed 2020), *D.2.5 Advanced data market place enablers*.
+- [b-TMF908] TMF908 (2020), *IoT Agent and Device Component Suite API Specification*, TM Forum.
+<>
+- [b-TMF914] TMF914 (2020), *IoT Service Management API Component Suite v4.0.0*, TM Forum
+<>
+
+
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+# Recommendation
+
+## **ITU-T Y.4497 (07/2024)**
+
+SERIES Y: Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+Internet of things and smart cities and communities – Frameworks, architectures and protocols
+
+---
+
+# **Requirements and functional architecture of smart sharing bicycle service**
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+## Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+| | |
+|---------------------------------------------------------|----------------------|
+| GLOBAL INFORMATION INFRASTRUCTURE | Y.100-Y.999 |
+| INTERNET PROTOCOL ASPECTS | Y.1000-Y.1999 |
+| NEXT GENERATION NETWORKS | Y.2000-Y.2999 |
+| FUTURE NETWORKS | Y.3000-Y.3499 |
+| CLOUD COMPUTING | Y.3500-Y.3599 |
+| BIG DATA | Y.3600-Y.3799 |
+| QUANTUM KEY DISTRIBUTION NETWORKS | Y.3800-Y.3999 |
+| INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES | Y.4000-Y.4999 |
+| General | Y.4000-Y.4049 |
+| Definitions and terminologies | Y.4050-Y.4099 |
+| Requirements and use cases | Y.4100-Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250-Y.4399 |
+| Frameworks, architectures and protocols | Y.4400-Y.4549 |
+| Services, applications, computation and data processing | Y.4550-Y.4699 |
+| Management, control and performance | Y.4700-Y.4799 |
+| Identification and security | Y.4800-Y.4899 |
+| Evaluation and assessment | Y.4900-Y.4999 |
+
+*For further details, please refer to the list of ITU-T Recommendations.*
+
+# Recommendation ITU-T Y.4497Requirements and functional architecture of smart sharing bicycle service
+
+## Summary
+
+Recommendation ITU-T Y.4497 describes the requirements and functional architecture of the smart sharing bicycle (SSB) service intended to meet people's daily travel needs, provide a positive user experience, and create significant market opportunities. This Recommendation includes the service requirements and the functional architecture of the SSB service.
+
+## History\*
+
+| Edition | Recommendation | Approval | Study Group | Unique ID |
+|---------|----------------|------------|-------------|--------------------|
+| 1.0 | ITU-T Y.4497 | 2024-07-10 | 20 | 11.1002/1000/15679 |
+
+## Keywords
+
+Architecture, smart sharing bicycle.
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID.
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents/software copyrights, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the appropriate ITU-T databases available via the ITU-T website at .
+
+© ITU 2024
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | Page |
+|---------------------------------------------------------------------------------------------------|------|
+| 1 Scope ..... | 1 |
+| 2 References..... | 1 |
+| 3 Definitions ..... | 1 |
+| 3.1 Terms defined elsewhere..... | 1 |
+| 3.2 Terms defined in this Recommendation..... | 2 |
+| 4 Abbreviations and acronyms ..... | 2 |
+| 5 Conventions ..... | 2 |
+| 6 Introduction to the SSB service ..... | 2 |
+| 7 Functional requirements of SSB service..... | 3 |
+| 7.1 Application part requirements ..... | 3 |
+| 7.2 Platform part requirements ..... | 4 |
+| 7.3 IoT device part requirements..... | 5 |
+| 8 Functional architecture of the SSB service..... | 6 |
+| 8.1 Application part ..... | 8 |
+| 8.2 Platform part..... | 9 |
+| 8.3 IoT device part..... | 10 |
+| Appendix I – Implementation and deployment model of a smart sharing bicycle (SSB)
service..... | 13 |
+| I.1 SSB user rental flow ..... | 13 |
+| I.2 SSB user payment flow ..... | 14 |
+| I.3 Flow for SSB platform operation management..... | 15 |
+| Bibliography..... | 17 |
+
+
+
+# Recommendation ITU-T Y.4497
+
+## Requirements and functional architecture of smart sharing bicycle service
+
+# 1 Scope
+
+This Recommendation specifies the requirements and functional architecture of the smart sharing bicycle (SSB) service, to effectively promote operation management, enhance customer experience and achieve large-scale deployment.
+
+The scope of this Recommendation includes:
+
+- Introduction of SSB service;
+- Functional requirements of SSB service;
+- Functional architecture of SSB service.
+
+# 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a standalone document, the status of a Recommendation.
+
+None.
+
+# 3 Definitions
+
+## 3.1 Terms defined elsewhere
+
+This Recommendation uses the following terms defined elsewhere:
+
+**3.1.1 application** [b-ITU-T Y.2091]: A structured set of capabilities, which provide value-added functionality supported by one or more services, which may be supported by an API interface.
+
+**3.1.2 capability** [b-ITU-R M.1224-1]: The ability of an item to meet a service demand of given quantitative characteristics under given internal conditions.
+
+**3.1.3 device** [b-ITU-T Y.4000]: With regard to the Internet of things, this is a piece of equipment with the mandatory capabilities of communication and the optional capabilities of sensing, actuation, data capture, data storage and data processing.
+
+**3.1.4 functional entity** [b-ITU-T Y.2012]: An entity that comprises an indivisible set of specific functions. Functional entities are logical concepts, while groupings of functional entities are used to describe practical, physical implementations.
+
+**3.1.5 Internet of things** [b-ITU-T Y.4000]: A global infrastructure for the information society, enabling advanced services by interconnecting (physical and virtual) things based on existing and evolving, interoperable information and communication technologies.
+
+**3.1.6 service** [b-ITU-T Y.2091]: A set of functions and facilities offered to a user by a provider.
+
+## 3.2 Terms defined in this Recommendation
+
+This Recommendation defines the following terms:
+
+**3.2.1 smart sharing bicycle (SSB) user:** A person that uses a smart sharing bicycle (SSB) user device to make use of the SSB service.
+
+**3.2.2 smart sharing bicycle (SSB) user device:** A device such as a smartphone or a tablet that can be used to access a smart sharing bicycle service.
+
+**3.2.3 smart sharing bicycle (SSB) device:** Shared bicycle equipped with an Internet of things device used by the smart sharing bicycle service.
+
+# 4 Abbreviations and acronyms
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|------|------------------------------------|
+| FE | Functional Entity |
+| GIS | Geographic Information System |
+| GNSS | Global Navigation Satellite System |
+| IoT | Internet of Things |
+| NFC | Near-Field Communication |
+| QR | Quick Response |
+| SSB | Smart Sharing Bicycle |
+
+# 5 Conventions
+
+In this Recommendation:
+
+The keywords "is required to" indicate a requirement which must be strictly followed and from which no deviation is permitted if conformance to this Recommendation is to be claimed.
+
+The keywords "is recommended" indicate a requirement which is recommended but which is not absolutely required. Thus, this requirement need not be present to claim conformance.
+
+The keyword "may" indicates an optional requirement which is permissible, without implying any sense of being recommended. This term is not intended to imply that the vendor's implementation must provide the option, and the feature can be optionally enabled by the network operator/service provider. Rather, it means the vendor may optionally provide the feature and still claim conformance with the specification.
+
+# 6 Introduction to the SSB service
+
+The development of telecommunication technology has provided a suitable environment for SSB service. Compared with traditional public bicycle rental services, SSB service can better meet people's daily travel needs, provide a positive user experience, and create huge market opportunities.
+
+## 1) Convenient service procedure
+
+With the improvements in business automation, the opening, exchange and cancellation of SSB service can be achieved online.
+
+### 2) Positive user experience
+
+When using SSB service, people can easily find a nearby SSB as well as a suitable place around their destination to park it. This greatly optimizes the user experience.
+
+### 3) Achieving large-scale deployment
+
+The SSB service platform can collect the status information and riding information from SSBs. Using big data service analysis, the target delivery of SSBs and the identification of faulty bicycles can be easily realized. Therefore, SSB service is conducive to the large-scale development of SSB service and effectively resolves the last kilometre problem.
+
+As shown in Figure 1, the framework of SSB service consists of the following parts:
+
+- the application part, where an SSB user uses the SSB application installed in the SSB user device to enjoy the service;
+- the platform part, where the SSB platform supplies the SSB service;
+- the Internet of things (IoT) device part, i.e., the SSB device.
+
+These parts are composed of the following layers: either the application or the service layer; either the application support layer or the service support layer; and the device layer. Communication networks and third-party platforms are out of the scope of this Recommendation.
+
+
+
+The diagram illustrates the framework of SSB service, organized into three main parts: Application part, Platform part, and IoT device part, connected via communication networks.
+
+- Application part:** Contains three layers: Application layer, Application support layer, and Device layer.
+- Platform part:** Contains three layers: Service layer, Service support layer, and Device layer.
+- IoT device part:** Contains three layers: Application layer, Application support layer, and Device layer.
+
+The parts are connected as follows:
+
+- The Application part and Platform part are connected by a bidirectional arrow.
+- The Platform part and IoT device part are connected by a bidirectional arrow.
+- The Application part and Platform part are connected to a central Communication network (cloud icon) via dashed lines.
+- The Platform part and IoT device part are connected to a central Communication network (cloud icon) via dashed lines.
+- The SSB application (mobile phone icon) is connected to the top Communication network.
+- The SSB device (bicycle icon) is connected to the bottom Communication network.
+- The SSB platform is connected to the top Communication network.
+- The Third-party platform is connected to the SSB platform.
+
+Y.4497(24)
+
+Figure 1 – Framework of SSB service. The diagram illustrates the architecture of the SSB service framework, divided into three main parts: Application part, Platform part, and IoT device part, connected via communication networks.
+
+**Figure 1 – Framework of SSB service**
+
+# 7 Functional requirements of SSB service
+
+## 7.1 Application part requirements
+
+The following are the generic capability requirements for the application part:
+
+- 1) User registration requirements:
+ - The application part is required to support user registration.
+- 2) User deregistration requirements:
+ - The application part is required to support user deregistration.
+- 3) User login requirements:
+ - The application part is required to support user login.
+- 4) User logout requirements:
+ - The application part is required to support user logout.
+- 5) Shared bicycle rental requirements:
+ - The application part is required to obtain the identity information of the SSB device.
+ - The application part is required to request the permission of the SSB platform to unlock the SSB device automatically.
+
+NOTE 1 – The identity information of SSB devices may be acquired manually or obtained by a quick response (QR) code, Bluetooth, or near-field communication (NFC).
+
+- 6) Finding nearby bicycles requirements:
+ - It is recommended that the application part be able to send the position of the SSB user device when receiving a request to search for nearby SSB devices.
+ - It is recommended that the application part display the physical distribution and status information of nearby SSB devices on the geographic information system (GIS)-based map.
+- 7) User account management requirements:
+ - The application part is required to create a user account based on the user registration request.
+ - The application part is required to delete a user account based on the user deregistration request.
+- 8) User feedback requirements:
+ - It is recommended that the application part supports the sending of the SSB user feedback to the SSB platform.
+- 9) Parking guidance requirements:
+ - It is recommended that the application part shows nearby parking areas based on the geographic location of the SSB user device.
+ - It is recommended that the application part indicates the unavailability of parking space based on the geographic location of the SSB user device.
+- 10) Payment interface requirements:
+ - The application part is required to support charging for the use of SSB devices through a payment interface.
+
+NOTE 2 – Payment interface may be supplied by SSB service vendors or a third party.
+
+## **7.2 Platform part requirements**
+
+The following are the capability requirements for the platform part:
+
+- 1) User account management requirements:
+ - The platform part is required to support the addition, modification or deletion of an SSB user account.
+ - The platform part is required to support updating the SSB user status if it is changed.
+
+- 2) Bicycle management requirements:
+ - The platform part is required to support the addition, modification or deletion of an SSB device.
+ - The platform part is required to monitor the status information of the SSB device, such as working state, battery level, geographic location, etc.
+ - The platform part is required to monitor the abnormal working status of the SSB device, such as equipment failure, dismantling alarms, insufficient voltage, etc.
+ - The platform part is required to identify and confirm the alarm report from the SSB device.
+ - The platform part is required to create, modify and delete the status report policies, the alarm report policies, and the fault report policies remotely.
+ - The platform part is required to send the updated firmware to the relevant SSB device.
+- 3) Accounting management requirements:
+ - The platform part is required to support the payment interface to charge for the use of an SSB device.
+ - The platform part is required to provide the detailed information of the SSB user account when the SSB user queries his/her account.
+- 4) Parking management requirements:
+ - It is recommended that the platform part provide information on nearby parking areas based on the geographic location of the SSB application.
+ - It is recommended that the platform part provide information on the unavailability of parking space based on the geographic location of the SSB application.
+ - The platform part may monitor the status information of the electronic fence in the parking area.
+- 5) Customer service management requirements:
+ - It is recommended that the platform part obtain user feedback.
+ - The platform part may provide an interface for manual customer service.
+- 6) Operation management requirements:
+ - The platform part is required to support an interface to send to maintenance personnel the operation and maintenance requirements of SSB devices, such as SSB device recycling and rebalancing in different areas, etc.
+- 7) Statistics and analysis requirements:
+ - It is recommended that the platform part support an interface to analyse the physical distribution information, the working status information, and the fault and alarm information, for better maintenance and improved service.
+- 8) External platform access requirements:
+ - It is recommended that the platform part provide the interfaces with external platforms.
+
+## **7.3 IoT device part requirements**
+
+The following are the capability requirements for the IoT device part:
+
+- 1) Status reporting requirements:
+ - The device part is required to collect the status information of the SSB device, such as SSB device position information, remaining battery power, network signal strength, etc.
+
+- The device part is required to regularly send the status information of the SSB device, according to the period configured by the SSB platform.
+- The device part is required to send the status information of the SSB device, in response to the query from the SSB platform.
+
+### 2) Alarm reporting requirements:
+
+- The device part is required to monitor the movement of the SSB device when the SSB device is locked.
+- The device part is required to automatically trigger an alarm once the pre-set movement conditions are reached.
+- The device part is required to send an alarm to the SSB platform once the pre-set movement conditions are reached.
+
+### 3) Fault reporting requirements:
+
+- The device part is required to collect the abnormal working status of an SSB device, such as equipment failure, dismantling alarms, insufficient voltage, etc.
+- The device part is required to send fault reports to the SSB platform.
+
+### 4) Identity requirements:
+
+- The device part is required to have unique identity information.
+
+NOTE – The identity information, which can be acquired by QR code, Bluetooth or NFC, may be printed on the SSB device directly or it may be embedded in the SSB device.
+
+### 5) Unlock requirements:
+
+- The device part is required to receive the unlock command from the SSB platform to unlock itself automatically.
+
+### 6) Lock requirements:
+
+- The device part is required to send lock status reports and geographic location information to the SSB platform.
+
+### 7) Power management requirements:
+
+- The device part is required to monitor the battery power, charge and discharge information of the SSB device.
+- The device part may take a low-power communication mechanism based on the SSB platform command or existing policies.
+
+### 8) Positioning requirements:
+
+- The device part is required to supply the global navigation satellite system (GNSS) positioning information or base station positioning information.
+
+### 9) Online remote update requirements:
+
+- The device part is required to receive the status report policies, the alarm report policies, and the fault report policies from the SSB platform.
+- The device part is required to receive the firmware image from the SSB platform and update the system.
+
+# 8 Functional architecture of the SSB service
+
+As shown in Figure 2, the functional architecture of the SSB service also consists of the following parts:
+
+- The application part, which consists of capabilities that the SSB application is required to satisfy.
+
+- The platform part, which consists of capabilities that the SSB platform is required to satisfy.
+- The IoT device part, which consists of capabilities that the SSB devices are required to satisfy.
+- The network part is out of the scope of this Recommendation.
+
+
+
+```
+
+graph TD
+ subgraph Application_part [Application part]
+ A1[User registration FE] --- A2[User deregistration FE] --- A3[User login FE] --- A4[User logout FE]
+ A5[Sharing bicycle rental FE] --- A6[Finding nearby bicycles FE] --- A7[User account management FE] --- A8[User feedback FE]
+ A9[Parking guidance FE] --- A10[Payment interface FE]
+ end
+
+ subgraph Network_part_1 [Network part]
+ end
+
+ subgraph Platform_part [Platform part]
+ P1[User account management FE] --- P2[Bicycle management FE] --- P3[Accounting management FE] --- P4[Parking management FE]
+ P5[Customer service management FE] --- P6[Operation management FE] --- P7[Statistics and analysis FE] --- P8[External platform access FE]
+ end
+
+ subgraph Network_part_2 [Network part]
+ end
+
+ subgraph IoT_device_part [IoT device part]
+ I1[Status reporting FE] --- I2[Alarm reporting FE] --- I3[Fault reporting FE] --- I4[Identity FE]
+ I5[Unlock FE] --- I6[Lock FE] --- I7[Power management FE] --- I8[Positioning FE]
+ I9[Online remote update FE]
+ end
+
+ Application_part --- Network_part_1 --- Platform_part --- Network_part_2 --- IoT_device_part
+
+```
+
+The diagram illustrates the functional architecture of the SSB service, organized into three main sections: Application part, Platform part, and IoT device part, each separated by a Network part (indicated by dashed lines).
+
+**Application part:**
+
+- User registration FE
+- User deregistration FE
+- User login FE
+- User logout FE
+- Sharing bicycle rental FE
+- Finding nearby bicycles FE
+- User account management FE
+- User feedback FE
+- Parking guidance FE
+- Payment interface FE
+
+**Platform part:**
+
+- User account management FE
+- Bicycle management FE
+- Accounting management FE
+- Parking management FE
+- Customer service management FE
+- Operation management FE
+- Statistics and analysis FE
+- External platform access FE
+
+**IoT device part:**
+
+- Status reporting FE
+- Alarm reporting FE
+- Fault reporting FE
+- Identity FE
+- Unlock FE
+- Lock FE
+- Power management FE
+- Positioning FE
+- Online remote update FE
+
+Functional architecture of the SSB service diagram showing Application, Platform, and IoT device parts separated by Network parts.
+
+Y.4497(24)
+
+**Figure 2 – Functional architecture of the SSB service**
+
+NOTE – The main functions of the identity functional entity (FE) are to provide the SSB device identity information to the SSB application, so the SSB application can send this information to the SSB platform to operate this SSB device.
+
+## **8.1 Application part**
+
+The application part includes a user registration FE, user deregistration FE, user login FE, user logout FE, sharing bicycle rental FE, finding nearby bicycles FE, user account management FE, user feedback FE, parking guidance FE and payment interface FE.
+
+#### **8.1.1 User registration FE**
+
+The main functions of the user registration FE are as follows:
+
+- Obtain SSB username and password to initiate user registration.
+- Receive the result of user registration from the SSB platform and show it to the user.
+
+NOTE – User registration may need deposit.
+
+#### **8.1.2 User deregistration FE**
+
+The main functions of the user deregistration FE are as follows:
+
+- Trigger user deregistration based on the SSB user operation.
+- Trigger the refund of the SSB user deposit procedure.
+- Receive the result of user deregistration from the SSB platform and show it to the SSB user.
+
+#### **8.1.3 User login FE**
+
+The main functions of the user login FE are as follows:
+
+- Obtain SSB username and password to initiate user login.
+- Receive the result of the user login from the SSB platform and show it to the SSB user.
+
+#### **8.1.4 User logout FE**
+
+The main functions of the user logout FE are as follows:
+
+- Trigger user logout based on the SSB user operation.
+- Receive the result of the user logout from the SSB platform and show it to the SSB user.
+
+#### **8.1.5 Sharing bicycle rental FE**
+
+The main functions of the sharing bicycle rental FE are as follows:
+
+- Show the position and state of SSB devices on the map in the SSB application.
+- Use a camera, Bluetooth or NFC to obtain the identity information of the SSB device and unlock it automatically.
+- Obtain the identity information of the SSB device, input by the SSB user manually, and unlock it.
+
+#### **8.1.6 Finding nearby bicycles FE**
+
+The main function of the finding nearby bicycles FE is as follows:
+
+- Show on the map the number and the position of nearby bicycles around the current position.
+
+#### **8.1.7 User account management FE**
+
+The main functions of the user account management FE are as follows:
+
+- Query the details of the SSB user account.
+- Recharge the balance of the SSB user account.
+- Refund the deposit of the SSB user account.
+
+#### **8.1.8 User feedback FE**
+
+The main functions of the user feedback FE are to collect and classify the SSB user feedback and send it to the SSB platform.
+
+NOTE – User feedback may be classified as the SSB device fault, SSB device unlock/lock failed, SSB device long unlock/lock time, and so on.
+
+#### **8.1.9 Parking guidance FE**
+
+The main functions of parking guidance management FE are as follows:
+
+- Show the recommended nearby parking areas.
+- Show no parking area.
+
+#### **8.1.10 Payment interface FE**
+
+The main functions of payment interface FE are to supply payment functions, as follows:
+
+- Use prepayment service or the balance in the SSB user account to pay for the use of the SSB device.
+- Notify the SSB user to choose other payment methods to continue the payment when the traditional payment method fails.
+
+### **8.2 Platform part**
+
+The platform part includes the user account management FE, bicycle management FE, accounting management FE, parking management FE, customer service management FE, operation management FE, statistics and analysis FE, and external platform access FE.
+
+#### **8.2.1 User account management FE**
+
+The main functions of the user account management FE are to provide user account management of SSB users, as follows:
+
+- Add, modify or delete the SSB user account.
+- Update SSB user status.
+
+#### **8.2.2 Bicycle management FE**
+
+The main functions of bicycle management FE are as follows:
+
+- Add, modify or delete the SSB device.
+- Monitor the status information of the SSB device, such as working state, battery level, and geographic location.
+- Monitor the abnormal working status of the SSB device, such as equipment failure, dismantling alarms, and insufficient voltage.
+- Identify and confirm the alarm report from the SSB device.
+- Update the configuration profile of SSB devices.
+- Create, modify and delete the status report policies, the alarm report policies, and the fault report policies.
+- Send the commands or policies to the relevant SSB device.
+- Send the updated firmware to the relevant SSB device.
+- Provide the statistics and analysis FE and operation management FE with the status and alarm information.
+
+#### **8.2.3 Accounting management FE**
+
+The main functions of the accounting management FE are as follows:
+
+- Charge for the use of the SSB device.
+- Provide detailed information on the SSB user account.
+- Handle the balance recharge of the SSB user account.
+- Handle the deposit refund of the SSB user account.
+
+#### **8.2.4 Parking management FE**
+
+The main functions of the parking management FE are as follows:
+
+- Provide information on parking areas.
+- Provide information on no parking area.
+- Monitor the status information of the electronic fence in the parking area.
+- Provide the statistics and analysis FE with the parking information of SSB users.
+
+#### **8.2.5 Customer service management FE**
+
+The main functions of the customer service management FE are as follows:
+
+- Obtain the classified user feedback, such as the SSB device fault, SSB device unlock/lock failed, and SSB device long unlock/lock time.
+- Reply to the user feedback.
+- Provide manual customer service.
+- Provide the statistics and analysis FE with information from the user feedback.
+
+#### **8.2.6 Operation management FE**
+
+The main function of the operation management FE is:
+
+- Send the operation and maintenance requirements of SSB devices, such as the SSB device recycling and rebalancing in different areas, to the maintenance personnel.
+
+#### **8.2.7 Statistics and analysis FE**
+
+The main functions of the statistics and analysis FE are to provide relevant reports for better maintenance and service improvement, as follows:
+
+- Obtain real-time data from the bicycle management FE, accounting management FE, parking management FE, and customer service management FE.
+- Analyse statistics for better maintenance and service improvement.
+- Provide reports according to big data analysis.
+
+#### **8.2.8 External platform access FE**
+
+The main functions of the external platform access FE are as follows:
+
+- Connect with third-party platforms via interfaces.
+- Exchange the relevant information or content with third-party platforms.
+
+## **8.3 IoT device part**
+
+The IoT device part includes the status reporting FE, alarm reporting FE, fault reporting FE, identity FE, unlock FE, lock FE, power management FE, positioning FE and online remote update FE.
+
+#### **8.3.1 Status reporting FE**
+
+The main functions of the status reporting FE are to send the status information of SSB devices to the SSB platform, as follows:
+
+- Collect the status information of the SSB device, such as SSB device position information, remaining battery power, network signal strength, etc.
+- Regularly send the status information of the SSB device to the SSB platform, according to the period configured by the platform.
+- Send the status information of the SSB device to the SSB platform, in response to the query from the platform.
+
+#### **8.3.2 Alarm reporting FE**
+
+The main functions of the alarm reporting FE are to provide an alarm to the SSB platform, as follows:
+
+- Monitor the movement of the SSB device when the SSB device is locked.
+- Automatically trigger an alarm on the buzzer once the pre-set movement conditions are reached.
+- Send an alarm to the SSB platform once the pre-set movement conditions are reached.
+
+#### **8.3.3 Fault reporting FE**
+
+The main functions of the fault reporting FE are to send the fault information to the SSB platform, as follows:
+
+- Collect the abnormal working status of the SSB device, such as equipment failure, dismantling alarm, and insufficient voltage.
+- Send fault reports to the SSB platform.
+
+#### **8.3.4 Identity FE**
+
+The main function of the identity FE is to provide the identity information to the SSB application, as follows:
+
+- Supply identity information based on QR code, NFC, Bluetooth, or other technologies.
+
+#### **8.3.5 Unlock FE**
+
+The main functions of the unlock FE are to support remote automatic unlocking or user manual unlocking, as follows:
+
+- Receive the unlock command from the SSB platform to unlock the SSB device automatically.
+- Acquire the unlock password input by a user to unlock the SSB device manually.
+
+#### **8.3.6 Lock FE**
+
+The main function of the lock FE is to send a lock status report and SSB device position information to the SSB platform to indicate whether the SSB device is successfully locked after the SSB user has locked the SSB device.
+
+#### **8.3.7 Power management FE**
+
+The main functions of the power management FE are to manage the power, as follows:
+
+- Monitor the battery power, charge, and discharge information of the SSB device.
+- Provide the battery power information to the status reporting FE and fault reporting FE.
+- Implement a low-power communication mechanism based on the SSB platform command or the existing policies.
+
+#### **8.3.8 Positioning FE**
+
+The main function of the positioning FE is to acquire GNSS positioning information or base station positioning information for the SSB devices.
+
+#### **8.3.9 Online remote update FE**
+
+The main functions of the online remote update FE are as follows:
+
+- Receive the configuration profile from the SSB platform and replace the existing configuration profile inside the SSB device.
+- Receive the reporting policies from the SSB platform and replace the existing policies inside the SSB device.
+- Receive the firmware image from the SSB platform and update the system.
+
+# Appendix I
+
+## Implementation and deployment model of a smart sharing bicycle (SSB) service
+
+(This appendix does not form an integral part of this Recommendation.)
+
+This appendix provides an implementation and deployment model for an SSB service as illustrated in Figure I.1.
+
+
+
+Hot-spot areas
+
+Community Mall School Warehouse Subway station
+
+SSB device
+
+SSB user device SSB user
+
+SSB platform
+
+Maintenance personnel
+
+Y.4497(24)
+
+Figure I.1 – Implementation and deployment model of SSB service. The diagram illustrates the system architecture. At the top, a box labeled 'Hot-spot areas' contains icons for Community, Mall, School, Warehouse, and Subway station. Below this, SSB devices (bicycles) are shown connected to an SSB platform (cloud icon). The SSB platform is also connected to SSB user devices (smartphones) and SSB users (person icons). Maintenance personnel (person icon with a cap) are shown connected to the SSB platform and a damaged SSB device (bicycle with an 'x' on the wheel). A reference code 'Y.4497(24)' is located at the bottom right of the diagram.
+
+**Figure I.1 – Implementation and deployment model of SSB service**
+
+In this model, SSB devices can be connected to the SSB platform via a wired or wireless communication network. They can be deployed in many hot-spot areas, e.g., communities, malls, schools, warehouses and subway stations, and the deployment of the SSB devices may be adjusted by the SSB platform based on the number of SSB users. SSB users can use an SSB user device to enjoy sharing the bicycle rental service conveniently, as shown in Figure I.2 and Figure I.3. SSB devices can obtain the status/alarm/fault information and send it to the SSB platform, and the damaged SSB devices can be recycled by maintenance personnel through the SSB platform, as shown in Figure I.4. To ensure that this model works well, such service flows have been outlined in clauses I.1 to I.3.
+
+## I.1 SSB user rental flow
+
+When an SSB user wants to use the SSB service, the rental flow outlined here can be referenced. The SSB user rental flow is shown in Figure I.2, and the main steps are outlined below:
+
+Step 1: SSB application logs in to the SSB platform.
+
+Step 2: SSB application establishes a direct connection to obtain the identity information of the SSB device.
+
+NOTE 1 – The SSB application may use the camera to recognize the QR code of the SSB device to obtain the identity information of the SSB device.
+
+Step 3: The SSB application sends a request to the SSB platform to unlock the SSB device, including the SSB device identity information.
+
+Step 4: After the SSB platform validates the SSB user and the SSB device identity information, it sends an unlock command to the SSB device.
+
+NOTE 2 – This command may be sent to the SSB device via the SSB application.
+
+Step 5: After the SSB device receives an unlock command from the SSB platform, it performs the unlock operation and sends a reply with an "SSB device unlocked" indication to the SSB platform.
+
+NOTE 3 – This indication may be sent to the SSB platform via the SSB application.
+
+Step 6: The SSB platform sends an "SSB device unlocked" indication to the SSB application.
+
+
+
+```
+sequenceDiagram
+ participant SSB_device as SSB device
+ participant SSB_application as SSB application
+ participant SSB_platform as SSB platform
+
+ SSB_application->>SSB_platform: 1. Login successfully
+ SSB_device->>SSB_application: 2. Establish a direct connection to obtain the identity information of SSB device
+ SSB_application->>SSB_platform: 3. Request to unlock SSB device
+ Note right of SSB_platform: SSB user and SSB device identity information validated
+ SSB_platform->>SSB_device: 4. Unlock SSB device command
+ SSB_device->>SSB_device: SSB device unlock
+ SSB_device->>SSB_platform: 5. SSB device unlock indication
+ SSB_platform->>SSB_application: 6. SSB device unlocked success indication
+```
+
+Y.4497(24)
+
+Sequence diagram showing the flow for an SSB user rental between SSB device, SSB application, and SSB platform.
+
+**Figure I.2 – Flow for an SSB user rental**
+
+## **I.2 SSB user payment flow**
+
+When an SSB user wants to lock the SSB and finish the SSB service, the following payment flow can be referenced:
+
+The SSB user payment flow is shown in Figure I.3, and the main steps are outlined below:
+
+Step 1: SSB application logs in to the SSB platform.
+
+Step 2: After the SSB user performs the lock operation, the SSB device sends a lock status report to the SSB platform, including geographic position information, remaining battery power and network signal strength.
+
+NOTE – The status report may be sent to the SSB platform via an SSB application.
+
+Step 3: After the SSB platform validates the SSB device locked status report and the SSB user account, the SSB platform performs the payment operation, then it sends the SSB device locked status report and payment result to the SSB application.
+
+
+
+```
+
+sequenceDiagram
+ participant SSB_device as SSB device
+ participant SSB_application as SSB application
+ participant SSB_platform as SSB platform
+
+ SSB_device->>SSB_device: SSB user perform lock operation
+ SSB_device->>SSB_platform: 2. SSB device locked status report upload
+ SSB_platform->>SSB_application: 1. Login successfully
+ SSB_platform->>SSB_application: 3. Reply SSB device locked status and payment result
+ SSB_platform->>SSB_platform: SSB device locked status report and SSB user account validation, and perform payment operation
+
+```
+
+Y.4497(24)
+
+Sequence diagram showing the flow for SSB user payment between SSB device, SSB application, and SSB platform.
+
+**Figure I.3 – Flow for SSB user payment**
+
+## **I.3 Flow for SSB platform operation management**
+
+When an SSB device obtains status/alarm/fault information, it sends this information to the SSB platform, and the damaged SSB devices can be recycled by maintenance personnel through the SSB platform. This procedure is shown in Figure I.4, and the main steps are outlined below:
+
+Step 1: SSB device sends status/alarm/fault report to the SSB platform.
+
+Step 2: If the SSB platform has detected an abnormal SSB device, it then sends a recovery command to the maintenance personnel.
+
+Step 3: Based on the recovery command, the abnormal SSB device is checked and recycled by the maintenance personnel.
+
+
+
+```
+
+sequenceDiagram
+ participant SSB_device as SSB device
+ participant SSB_platform as SSB platform
+ participant Maintenance_personnel as Maintenance personnel
+
+ SSB_device->>SSB_platform: 1. Status/alarm/fault information upload
+ activate SSB_platform
+ SSB_platform->>SSB_platform: The abnormal SSB device is detected
+ SSB_platform->>Maintenance_personnel: 2. Recovery command
+ activate Maintenance_personnel
+ Maintenance_personnel->>SSB_device: 3. SSB device has been recycled
+ deactivate Maintenance_personnel
+ deactivate SSB_platform
+
+```
+
+The diagram illustrates the flow for SSB platform operation management. It involves three main entities: SSB device, SSB platform, and Maintenance personnel. The process begins with the SSB device uploading status, alarm, or fault information to the SSB platform. Upon receiving this information, the SSB platform detects an abnormal SSB device. It then issues a recovery command to the maintenance personnel. Finally, the maintenance personnel confirm that the SSB device has been recycled, and this information is communicated back to the SSB device.
+
+Sequence diagram for SSB platform operation management showing interactions between SSB device, SSB platform, and Maintenance personnel.
+
+Y.4497(24)
+
+**Figure I.4 – Flow for SSB platform operation management**
+
+# Bibliography
+
+- [b-ITU-T Y.2012] Recommendation ITU-T Y.2012 (2010), *Functional requirements and architecture of next generation networks*.
+- [b-ITU-T Y.2091] Recommendation ITU-T Y.2091 (2011), *Terms and definitions for next generation networks*.
+- [b-ITU-T Y.4000] Recommendation ITU-T Y.4000/Y.2060 (2012), *Overview of the Internet of things*.
+- [b-ITU-R M.1224-1] Recommendation ITU-R M.1224-1 (2012), *Vocabulary of terms for International Mobile Telecommunications (IMT)*.
+
+
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|----------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+# Recommendation
+
+## **ITU-T Y.4498 (07/2024)**
+
+SERIES Y: Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+Internet of things and smart cities and communities –
+Frameworks, architectures and protocols
+
+---
+
+## **Framework of city-level energy data sharing and analytics among buildings**
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+## Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+| | |
+|---------------------------------------------------------|----------------------|
+| GLOBAL INFORMATION INFRASTRUCTURE | Y.100-Y.999 |
+| INTERNET PROTOCOL ASPECTS | Y.1000-Y.1999 |
+| NEXT GENERATION NETWORKS | Y.2000-Y.2999 |
+| FUTURE NETWORKS | Y.3000-Y.3499 |
+| CLOUD COMPUTING | Y.3500-Y.3599 |
+| BIG DATA | Y.3600-Y.3799 |
+| QUANTUM KEY DISTRIBUTION NETWORKS | Y.3800-Y.3999 |
+| INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES | Y.4000-Y.4999 |
+| General | Y.4000-Y.4049 |
+| Definitions and terminologies | Y.4050-Y.4099 |
+| Requirements and use cases | Y.4100-Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250-Y.4399 |
+| Frameworks, architectures and protocols | Y.4400-Y.4549 |
+| Services, applications, computation and data processing | Y.4550-Y.4699 |
+| Management, control and performance | Y.4700-Y.4799 |
+| Identification and security | Y.4800-Y.4899 |
+| Evaluation and assessment | Y.4900-Y.4999 |
+
+*For further details, please refer to the list of ITU-T Recommendations.*
+
+# Recommendation ITU-T Y.4498
+
+## Framework of city-level energy data sharing and analytics among buildings
+
+## Summary
+
+Recommendation ITU-T Y.4498 specifies requirements and architectural models for city-level energy management that facilitates data exchange, sharing and analytics among buildings in smart cities. Recommendation ITU-T Y.4498 also provides use cases to support energy planning, management and energy data sharing through city energy services for smart sustainable cities.
+
+As the sector accounts for a significant portion of total energy consumption, efforts are being made to increase energy efficiency in the built environment through smart solutions in homes, office and commercial premises, and factories. To effectively support energy efficiency in smart cities, it is crucial to have city-level data sharing and analytics for services and intelligent applications. This allows information to be shared among buildings with different consumption patterns or renewable production to increase energy efficiency. To enable city-level data sharing and analytics, standardized specifications for energy data types and exchange methods are essential.
+
+## History\*
+
+| Edition | Recommendation | Approval | Study Group | Unique ID |
+|---------|----------------|------------|-------------|--------------------|
+| 1.0 | ITU-T Y.4498 | 2024-07-10 | 20 | 11.1002/1000/15791 |
+
+## Keywords
+
+Data sharing and analytics, energy, energy management, smart building.
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID.
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents/software copyrights, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the appropriate ITU-T databases available via the ITU-T website at .
+
+© ITU 2024
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | | Page |
+|----|----------------------------------------------------------------------------------|------|
+| 1 | Scope ..... | 1 |
+| 2 | References..... | 1 |
+| 3 | Definitions ..... | 1 |
+| | 3.1 Terms defined elsewhere..... | 1 |
+| | 3.2 Terms defined in this Recommendation..... | 2 |
+| 4 | Abbreviations and acronyms ..... | 2 |
+| 5 | Conventions ..... | 2 |
+| 6 | Overview of city-level energy data sharing and analytics..... | 3 |
+| | 6.1 Conceptual model..... | 3 |
+| | 6.2 Data model..... | 4 |
+| | 6.3 Process model..... | 5 |
+| | 6.4 Users of city-level energy data ..... | 7 |
+| 7 | Requirements of city-level energy data sharing and analytics ..... | 8 |
+| | 7.1 Interface requirements ..... | 8 |
+| | 7.2 Functional requirements ..... | 9 |
+| 8 | Architectural model ..... | 10 |
+| | 8.1 Reference architectural model of CL-EMP ..... | 10 |
+| | 8.2 Interconnection function..... | 11 |
+| | 8.3 Data or knowledge function ..... | 11 |
+| | 8.4 Interface function..... | 12 |
+| | 8.5 Service support function..... | 12 |
+| | 8.6 Security and management function ..... | 12 |
+| 9 | Energy data processing and operation for city energy services..... | 12 |
+| | 9.1 Energy data value chain model in energy data collection and processing ..... | 12 |
+| | 9.2 Types and exchange methods of energy data ..... | 13 |
+| | 9.3 Energy data analytics..... | 14 |
+| | 9.4 Energy data sharing among stakeholders involved in city energy services ... | 14 |
+| 10 | Security and privacy considerations ..... | 15 |
+| | Appendix I – Use cases for city energy services ..... | 16 |
+| | I.1 Use case 1: Integrated building energy management..... | 16 |
+| | I.2 Use case 2: Open API-based city energy data sharing..... | 17 |
+| | I.3 Use case 3: GIS-based city energy planning ..... | 17 |
+
+
+
+# Recommendation ITU-T Y.4498
+
+## Framework of city-level energy data sharing and analytics among buildings
+
+# 1 Scope
+
+This Recommendation establishes a framework for city-level data sharing and analytics for energy consumed and produced by services and intelligent applications among buildings to support smart sustainable cities.
+
+This Recommendation includes:
+
+- an overview of city-level energy data sharing and analytics among buildings;
+- requirements for energy data sharing and analytics for city services and intelligent applications;
+- architectural models, specification of functions and interfaces;
+- energy data processing and operation for city services.
+
+Appendix I provides use cases for city energy services to support energy planning, management and energy data sharing for smart sustainable cities.
+
+NOTE 1 – This Recommendation considers buildings of three types, i.e., residential, office and commercial premises, and industrial.
+
+NOTE 2 – Energy data related to personally identifiable information (PII) is limited to that which can be used publicly with the consent of each individual. Issues such as detailed data collection method and anonymization of PII may be related to regulation in some countries. Therefore, non-functional aspects related to regulation lie outside the scope of this Recommendation.
+
+# 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+- | | |
+|----------------|------------------------------------------------------------------------------------------------------------------------|
+| [ITU-T Y.4200] | Recommendation ITU-T Y.4200 (2018), Requirements for the interoperability of smart city platforms . |
+| [ITU-T Y.4201] | Recommendation ITU-T Y.4201 (2017), High-level requirements and reference framework of smart city platforms . |
+| [ITU-T Y.4900] | Recommendation ITU-T Y.4900/L.1600 (2016), Overview of key performance indicators in smart sustainable cities . |
+
+# 3 Definitions
+
+## 3.1 Terms defined elsewhere
+
+This Recommendation uses the following term defined elsewhere:
+
+**3.1.1 smart sustainable city** [ITU-T Y.4900]: A smart sustainable city is an innovative city that uses information and communication technologies (ICTs) and other means to improve quality of life, efficiency of urban operation and services and competitiveness, while ensuring that it meets the needs
+
+of present and future generations with respect to economic, social, environmental, as well as cultural aspects.
+
+## 3.2 Terms defined in this Recommendation
+
+This Recommendation defines the following terms:
+
+**3.2.1 city-level energy management platform:** A platform to facilitate the collection, sharing and analytics of energy consumption and production information necessary for city services and intelligent applications.
+
+**3.2.2 region-level energy management platform:** A platform to support regional consumption and production entities such as buildings that provides a city-level energy management platform with the information necessary to achieve optimum performance.
+
+# 4 Abbreviations and acronyms
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|--------|------------------------------------------|
+| AI | Artificial Intelligence |
+| API | Application Programming Interface |
+| CL-EMP | City-Level Energy Management Platform |
+| DER | Distributed Energy Resource |
+| DR | Demand Response |
+| EI | Energy Interoperation |
+| EMP | Energy Management Platform |
+| ESP | Energy Service Provider |
+| GIS | Geographic Information System |
+| ICT | Information and Communication Technology |
+| IDC | Internet Data Centre |
+| PII | Personally Identifiable Information |
+| P2P | Peer-to-Peer |
+| RL-EMP | Region-Level Energy Management Platform |
+| SCP | Smart City Platform |
+| VPP | Virtual Power Plant |
+
+# 5 Conventions
+
+In this Recommendation:
+
+The phrase "is required" indicates a requirement that must be strictly followed and from which no deviation is permitted, if conformance to this Recommendation is to be claimed.
+
+The phrase "is recommended" indicates a requirement that is recommended but which is not absolutely required. Thus, this requirement need not be present to claim conformance.
+
+# 6 Overview of city-level energy data sharing and analytics
+
+## 6.1 Conceptual model
+
+Buildings in a smart city are used for residential, office and commercial premises, or industrial purposes. In most countries, energy consumption in the building sector accounts for a significant portion of a city's total energy consumption. In order to increase the efficiency of energy consumption, efforts are being made in the building sector to implement smart solutions in such locations as the home, public buildings and factories. To effectively support these efforts, it is essential to establish for energy city-level data sharing and analytics for city services and intelligent applications. This enables buildings with different consumption patterns or renewable production of energy to share their consumption and production information for city usage efficiency. Standardized energy data types and exchange methods are essential to facilitate the city-level data sharing and analytics.
+
+The city-level energy management platform (CL-EMP) aims to achieve optimum performance within the smart city energy sector. There is an increasing need for technologies that enable supply-side management, demand-side management, and integrated management of energy sources to effectively meet energy demand for smart sustainable cities [ITU-T Y.4900]. Furthermore, many studies are underway to improve operational efficiency by leveraging data sharing and analytics with energy management platforms (EMPs) for diverse purposes.
+
+Figure 1 shows a conceptual model of city-level data sharing and analytics for energy among buildings for city services and intelligent applications. In this model, the region-level energy management platform (RL-EMP) of each building acts as the primary actor, while the energy service provider (ESP) and the city Internet data centre (IDC) serve as the secondary actors to provide convergence services. They are connected to the CL-EMP. The RL-EMP consists of residential building EMP, office and commercial building EMP, and industrial building EMP, depending on the specific purpose of each building. It supports a standardized energy interoperation (EI) interface for exchanging data with the CL-EMP. The CL-EMP receives energy data from each RL-EMP, as well as citywide demand and supply data from the ESP for each energy source. In addition, it exchanges publicly available data, such as geographic data and climate data, with the city IDC to facilitate city-level energy services. To support the development of intelligent applications, the CL-EMP acts as a data platform, collecting and analysing data, and sharing them with other city platforms and users through an open application programming interface (API).
+
+With this conceptual model, it becomes feasible not only to save energy within a city, but also to develop city-level energy plans using a geographic information system (GIS) and enhance the utilization of the EMPs. Moreover, the model facilitates the emergence of new energy businesses, such as demand response (DR), virtual power plant (VPP), peer-to-peer (P2P) energy exchange, and CO2 emissions management.
+
+
+
+The diagram illustrates a conceptual model of city-level energy data sharing and analytics. It is organized into three main vertical sections: Region-level EMP, City-level EMP, and City energy services.
+
+- Region-level EMP:** Contains three sub-sections: Residential building EMP, Office and commercial building EMP, and Industrial building EMP. These are grouped within a dashed box.
+- City-level EMP:** Contains a stack of components: City energy services, Open API, Data analytics (AI, big data), and a Data flow process (collecting → Processing → Sharing). Below this stack are two data sources: ESP (Electric, Gas, Water, Thermal) and City IDC (Public data).
+- City energy services:** A list of services including GIS based energy planning, RL-EMP consulting services, DR, VPP, P2P, CO2 emission, and various Energy services (#1, #2, ..., #n).
+
+Arrows indicate data flow: from Region-level EMP to City-level EMP via an "Energy interoperation interface"; from ESP and City IDC to the Data flow process; and from City energy services to the City-level EMP stack. A green arrow also points from the City energy services section to the City energy services list on the right.
+
+Figure 1: A conceptual model of city-level energy data sharing and analytics. The diagram shows a flow from Region-level EMP (Residential, Office, Industrial) through an Energy interoperation interface to City-level EMP. City-level EMP includes City energy services, Open API, Data analytics (AI, big data), and a Data flow (collecting, Processing, Sharing). Data is sourced from ESP (Electric, Gas, Water, Thermal) and City IDC (Public data). City energy services include GIS based energy planning, RL-EMP consulting services, DR, VPP, P2P, CO2 emission, and various Energy services (#1, #2, ..., #n).
+
+**Figure 1 – A conceptual model of city-level energy data sharing and analytics**
+
+## 6.2 Data model
+
+The city-level energy data model is abstract and expresses all the purposes of the CL-EMP while providing a standardized expression of resources. The data model supports the integration of energy-related systems and their applications at the city-level.
+
+The city-level energy data model includes information that is not only electricity related, but also about non-electric power sources such as water, gas and heat. It extends the common information model, i.e., a model designed for electricity-related information and its exchange as specified in [b-IEC 61970-301] [b-IEC 60870-5-4] [b-IEC 61968-11] and [b-IEC 62325-301], to include information about non-electric power sources and city operations. However, the specific details of the city-level energy data model lie outside the scope of this Recommendation.
+
+As shown in Figure 2, the city-level data model is composed of the basic data for the operation and management of the energy of buildings within a city, the statistics data and the carbon management data derived from the basic data, the prediction data and the optimization data for optimizing the energy demand and supply of buildings.
+
+The basic data consists of the raw data for operating building energy at the city-level. It includes city and building energy information collected from the RL-EMP and the ESP, as well as energy-related public information from the city IDC. The data includes power facility and load information [b-IEC 61970-301], advanced metering infrastructure [b-IEC 60870-5-4], metering and distribution management information [b-IEC 61968-11], and disaster, environmental and meteorological information [b-IEC 62325-301]. Any information that is not covered by existing standards is specified in this Recommendation.
+
+| Basic data | | | | |
+|---------------------------|-----------------------------------|----------------------------------------------|--------------------------------------------|----------------------------------------------|
+| Base information (RL-EMP) | Operation information (RL-EMP) | Statistical analytics information (RL-EMP) | Energy supply information (ESP) | Public information (City IDC) |
+| Equipment | Energy consumption amount | Energy baseline and saving target level | Energy quality (Blackout, outage) | Weather measurements |
+| Measurements | Energy generation amount | Total amount of energy consumption | Energy supply amount of each building | GIS data |
+| Data points | Energy storage amount | Total amount of energy saving | Energy consumption amount of each building | Statistical geographic city information |
+| Building information | Energy trade amount | Energy performance (Potential saving amount) | Energy supply amount of city | Energy Gen./consumption of public facilities |
+| EV charger information | Indoor environmental measurements | Energy cost | Energy consumption amount of city | |
+| Energy source information | Operational status of equipment | Estimated carbon emission amount | | |
+
+
+
+| Statistics data | | | | Carbon management data |
+|-----------------------------------------|-------------------------------|--------------------------------------------|---------------------------|----------------------------------|
+| City energy demand status | City energy supply status | Building energy demand status | City energy index | City carbon management |
+| Monthly/daily/yearly consumption status | ESP supply status | Energy consumption status of all buildings | City energy independence | Estimated carbon emission amount |
+| Regional energy consumption status | Building supply status | Energy consumption status of each building | City energy saving amount | |
+| | Public facility supply status | | | |
+| | Regional energy supply status | | | |
+
+
+
+| Prediction data | | Optimization data | |
+|--------------------------------|--------------------------------------|--------------------------------------------|-------------------------------------------|
+| Energy demand prediction | Energy supply prediction | Energy demand control | Energy supply control |
+| Energy consumption amount | Renewable energy generation amount | Consumption amount to be increased/reduced | Generation amount to be increased/reduced |
+| Energy peak consumption amount | Optimal energy storage amount | | |
+| | Renewable energy Gen. maximum amount | | |
+
+Y.4498(24)
+
+**Figure 2 – City-level energy data model**
+
+## 6.3 Process model
+
+The process model of the CL-EMP for sharing and analysing city-level energy data is illustrated in Figure 3. A description of this process model follows.
+
+The CL-EMP collects basic data from the RL-EMP, the city IDC and the ESP. The data obtained from the RL-EMP for each building includes energy-related base information, operational information and statistical analytics information. If a building does not have an RL-EMP, data on energy supply and consumption of the building can be collected from the ESP. To ensure privacy protection, any personal information that could identify residents of a building is either removed or de-identified. The data on city and regional weather measurements, GIS data, city statistics (e.g., population, area, economy), and energy consumption and generation amount of public facilities (e.g., road and transportation facilities) are collected from the city IDC. The ESP provides data on energy quality (e.g., energy quality of blackout or outage), supply and consumption for each building and the city as a whole.
+
+The collected data undergoes pre-processing that includes cleaning and normalization before storage. These data are initially expressed in the proprietary data format specified by data sources such as the RL-EMP, the city IDC and the ESP. In order to handle the data within the CL-EMP, it is translated both syntactically and semantically into the common format specified by the CL-EMP.
+
+From the basic data, the statistics data and the carbon management data are generated. The statistics data includes energy demand and supply amounts at the city and region-level, energy supply statistics for each source within a city, energy independence target and energy-saving amount based on the city energy index. For city energy management, the statistics data provides statistics information on the total energy consumption of the building sector, massive energy-consuming buildings such as high-rise buildings or factories. The city energy index [b-ITU-T Y.4903] in the statistics data includes city energy independence and city energy saving amount. Carbon management data includes information about emission estimates and reductions.
+
+Prediction data are used to forecast energy demand and supply for a city and its regions in the short, medium and long term.
+
+To predict energy demand, various factors are considered, including energy consumption amounts from the previous day, week, month or year, historical climate and population data, and industrial production and consumption data. Additionally, other data are taken into account, such as population size, number of buildings, industrial production information, forecast or target size of green area, goals of energy self-reliance and carbon emission reduction for a city and its regions.
+
+To predict energy supply, various data are used, including the energy supply amount of the previous day, week, month or year, operation data of energy supply facilities, the historical and forecast weather data, the new energy supply facility plan of each building, the future energy supply plan of the ESP, and the energy and incentive support plans of central and local government.
+
+Big data and machine learning tools can be used to efficiently analyse a large amount of energy data and make accurate predictions.
+
+Optimization data are used to achieve an optimum balance of energy demand and supply, as well as energy independence within a city. This data contains information to control energy generation and consumption. In terms of generation control, it includes details on adjustments to renewable energy generation, discharge of energy storage systems and energy generation using hydrogen fuel cells in buildings. On the other hand, in terms of consumption control, it includes details on adjustments to energy consumption based on surplus or deficit of total energy generated within a city. Methods for increasing energy consumption may include increasing green hydrogen production or energy storage level, while reducing consumption may include adjusting indoor temperature of buildings, decreasing energy storage level or improving overall energy efficiency.
+
+To achieve energy optimization, the CL-EMP recommends that the RL-EMP take appropriate action based on the optimization data. This includes providing the optimization data to the RL-EMP.
+
+
+
+The diagram illustrates the process model of city-level energy data sharing and analytics. It is divided into two main sections: RL-EMP (Real-time Energy Management Platform) and CL-EMP (City-level Energy Management Platform).
+
+**RL-EMP** includes an **Actuator** and a **Sensor**. The **Sensor** feeds data into the **CL-EMP** process.
+
+**CL-EMP** is a dashed box containing the following steps:
+
+- Collection and pre-process of energy data**: Receives data from the sensor.
+- Translation of the collected data into basic data of common format**: Converts data into a common format.
+- Analytics of basic data**: Analyzes the basic data.
+- Prediction of energy demand and supply**: Uses big data and machine learning for prediction.
+- Decision making for optimized energy demand and supply**: Makes decisions based on predictions.
+- Optimization**: Optimizes energy demand and supply.
+
+**City-level energy data** is stored in a database and includes:
+
+- Basic data**
+- Statistics data, carbon mgmt data**
+- Prediction data**
+- Optimization data**
+
+The **City-level energy data** is shared via an **Open API** to a **City-level energy data user**.
+
+A **Recommendation** loop connects the **Optimization** step back to the **Actuator** in the **RL-EMP**.
+
+**Data flow** is indicated by arrows.
+
+Y.4498(24)
+
+Figure 3: Process model of city-level energy data sharing and analytics. The diagram shows a flow from RL-EMP (Actuator, Sensor) and City IDC, ESP to CL-EMP. CL-EMP includes steps: Collection and pre-process of energy data, Translation of the collected data into basic data of common format, Analytics of basic data, Prediction of energy demand and supply (Using big data and machine learning), Decision making for optimized energy demand and supply, and Optimization. City-level energy data (Basic data, Statistics data, carbon mgmt data, Prediction data, Optimization data) is stored and shared via Open API to City-level energy data user. A Recommendation loop connects Optimization back to RL-EMP. A legend indicates Data flow with an arrow.
+
+**Figure 3 – Process model of city-level energy data sharing and analytics**
+
+## 6.4 Users of city-level energy data
+
+The city-level energy data are made available to users through an open API, as shown in Figure 3, for easy access. Users can include building energy management business operators, city energy managers, building energy managers and citizens.
+
+To effectively balance energy demand and supply in a city, close cooperation among energy prosumers (entities that both produce and consume energy) in a city, public organizations operating under local governments and the ESP is crucial. The CL-EMP facilitates this cooperation by providing the necessary city-level energy data.
+
+Building energy management business operators can use the city-level energy data to manage multiple buildings with diverse energy characteristics, such as amounts, patterns and peaks of energy consumption and generation. By leveraging city-level energy data, these operators can offer recommendations for energy consumption and generation control to building energy managers in accordance with the overall plan. This enables the activation of energy business models, such as DR, distributed energy resource (DER), and P2P energy exchange.
+
+Managers can use city-level data to establish energy plans that aim to improve building energy efficiency, promote new and renewable energy generation, facilitate the installation of energy storage
+
+devices, and optimize the energy supply chain within a city. Additionally, the plans can include the expansion of hydrogen supply facilities, parks and green spaces throughout a city.
+
+Building energy managers can effectively reduce costs and maximize energy efficiency in their buildings by leveraging city-level energy data, city energy plans and subsidy plans from the city energy manager, and the recommendations from the building energy management business operator.
+
+Citizens can use city-level energy data to propose energy policies to their communities, local or central governments. Furthermore, they can have opportunities to discover energy-related business ideas and generate profits.
+
+# **7 Requirements of city-level energy data sharing and analytics**
+
+## **7.1 Interface requirements**
+
+### **7.1.1 Interaction with RL-EMP**
+
+The RL-EMP provides the CL-EMP with the information necessary to achieve energy performance at the city-level as follows.
+
+- a) The foundation of the type of data provided by the RL-EMP to the CL-EMP is recommended to be base information, operation information, and statistical analytics information in Figure 2.
+
+NOTE 1 – Since the data model depicted in Figure 2 is based on the office and commercial building EMP, it may not be directly applicable to the residential or industrial building EMP.
+
+- b) The CL-EMP is recommended to be able to get data from the RL-EMP either in real time or at periodic intervals.
+
+NOTE 2 – "Real-time" means immediate transmission and reception of data generated within a specified time period (e.g., 5 min, 1 h or 1 day).
+
+- c) The CL-EMP is required to get operation information from the RL-EMP in real time in the city-level energy data model depicted in Figure 2.
+- d) A guarantee of security for users and data is required.
+- e) Data exchange is recommended to follow an EI interface standard.
+
+### **7.1.2 Interaction with ESP**
+
+In order to bill a building for its energy consumption, the ESP periodically measures the amount of energy consumed by the building along with the necessary information. To support this, the CL-EMP has the following requirements.
+
+- a) The CL-EMP is recommended to get the energy supply information from the ESP in the city-level energy data model shown in Figure 2.
+- b) The ESP is recommended to provide data to the CL-EMP either in real time (e.g., energy quality) or at periodic intervals.
+
+NOTE – "Real-time" means immediate transmission and reception of data generated within a specified time period (e.g., 1 day or 1 month).
+
+- c) A guarantee of security for users and data is required.
+- d) Data exchange is recommended to follow an EI interface standard.
+
+### **7.1.3 Interaction with city IDC**
+
+The city IDC acts as the smart city platform (SCP) as specified in [ITU-T Y.4200] in terms of data resources and provides the data to the CL-EMP. In order to interact with the city IDC, the CL-EMP has the following requirements.
+
+- a) The CL-EMP is recommended to get public information from the city IDC in the city-level energy data model depicted in Figure 2.
+- b) The CL-EMP is recommended to be able to get data from the city IDC either in real time or at periodic intervals, considering the characteristics of the data.
+
+NOTE 1 – Weather measurement in the public information is transmitted in real time.
+
+NOTE 2 – Energy generation and consumption data of public facilities in the public information is provided at periodic intervals.
+
+## 7.2 Functional requirements
+
+The CL-EMP has the following functional requirements to support city-level energy data sharing and analytics for city energy services using the collected energy data.
+
+- Energy data collection:
+ - a) the CL-EMP is required to provide an interconnection interface for system-to-system connectivity with the RL-EMP, the ESP, and the city IDC;
+ - b) the CL-EMP is required to collect data either in real time or at periodic intervals;
+ - c) the CL-EMP is required to provide data pre-processing function to support the data analysis process.
+- Energy data analysis:
+ - a) the CL-EMP is required to support a data model (e.g., the city-level energy data model) that allows users to understand the syntactical structure and meaning of the data;
+ - b) the CL-EMP is required to be able to perform translation, storage, retrieval, history management and quality inspection of the collected data using the supported data model.
+- Energy knowledge-based decision making:
+ - a) the CL-EMP is recommended to provide the prediction and optimization data depicted in Figure 2 using analysis tools such as machine learning;
+ - b) the CL-EMP is required to support decision-making of the RL-EMP based on the prediction and optimization data.
+- Energy data sharing and interface:
+ - a) the CL-EMP is required to provide an open API-based data portal for sharing data with users;
+ - b) the CL-EMP is required to provide an interoperability interface to connect to other platforms;
+ - c) the CL-EMP is required to provide data to users in their preferred manner, such as on demand, periodically or in real-time.
+- City energy service support:
+ - a) the CL-EMP is recommended to provide development tools to support city energy services;
+ - b) the CL-EMP is required to provide a service interface that ensures secure access.
+- Security and management:
+ - a) the CL-EMP is required to anonymize the data so that the data provider cannot be identified;
+ - b) the CL-EMP is required to support periodic management or inspection to ensure stable system operation.
+
+# **8 Architectural model**
+
+## **8.1 Reference architectural model of CL-EMP**
+
+The reference architectural model of the CL-EMP is based on the reference framework of the SCP specified in [ITU-T Y.4201], as shown in Figure 4.
+
+The CL-EMP consists of the following five functions:
+
+- services support function (see clause 8.5);
+- interface function (see clause 8.4);
+- data or knowledge function (see clause 8.3);
+- interconnection function (see clause 8.2);
+- security and management function (see clause 8.6).
+
+The CL-EMP has the following external interfaces.
+
+- Service interface: This interface facilitates the connection between the building ESP and the CL-EMP (see clause 8.5).
+- Interoperability interface: This interface enables the CL-EMP interconnect with other city platforms (see clause 8.4).
+- Interconnection interface: This interface is necessary for the CL-EMP to collect data from the data sources (see clause 8.2). The CL-EMP uses this interface to establish connections to the data sources that are in the form of a system or a platform. The CL-EMP does not acquire data directly from sensor devices using the acquisition interface specified in [ITU-T Y.4201] because the CL-EMP is not directly connected to the devices.
+
+NOTE – The functions and external interfaces shown in Figure 4 are the recommended elements that CL-EMP should support from a requirements perspective. However, in the actual implementation, these functions and external interfaces can be optimized through removal, downsizing, or functional consolidation. This optimization takes into account factors such as cost, the role of CL-EMP, and the size and environment of the cities or communities.
+
+
+
+**Building energy services**
+Integrated building energy management
+Open API-based city energy data sharing
+GIS-based city energy planning
+
+Service interface
+
+**Open data portal**
+
+**CL-EMP**
+
+Security and management function
+
+Service support function
+Building energy service support
+
+Interface function
+Data sharing
+
+Data and knowledge function
+
+Optimization
+Decision making
+Prediction
+Analytics
+Translation
+
+City-level energy data
+Optimization data
+Prediction data
+Statistics data
+Basic data
+
+Interconnection function
+Data collection and pre-process
+
+Interoperability interface
+
+Other city platforms
+
+Interconnection interface
+
+**Data sources**
+RL-EMP
+ESP
+City IDC
+
+Figure 4 – Reference architectural model of the CL-EMP. The diagram shows a multi-layered architecture. At the top is 'Building energy services' (Integrated building energy management, Open API-based city energy data sharing, GIS-based city energy planning) connected via a 'Service interface' to an 'Open data portal'. Below this is the 'CL-EMP' block, which includes a 'Security and management function' and several other functions: 'Service support function' (Building energy service support), 'Interface function' (Data sharing), 'Data and knowledge function' (a vertical stack of Translation, Analytics, Prediction, Decision making, and Optimization), and 'Interconnection function' (Data collection and pre-process). The 'Data and knowledge function' is linked to 'City-level energy data' (Optimization data, Prediction data, Statistics data, Basic data). The 'Interconnection function' is connected via an 'Interconnection interface' to 'Data sources' (RL-EMP, ESP, City IDC). The 'Interface function' is connected via an 'Interoperability interface' to 'Other city platforms'.
+
+Y.4498(24)
+
+**Figure 4 – Reference architectural model of the CL-EMP**
+
+## 8.2 Interconnection function
+
+The interconnection function is responsible for collecting and pre-processing energy data from sources (e.g., the RL-EMP, the city IDC and the ESP as explained in clause 6.3). It consists of single process, namely data collection and pre-processing.
+
+## 8.3 Data or knowledge function
+
+The data or knowledge function is responsible for generating and managing the energy database based on the city-level energy data model using the following four processes.
+
+- Translation process: This process generates the basic data by translating the raw data collected from energy sources into the common data format of the city-level energy data model.
+
+- Analytics process: This process generates the statistics data, the carbon management data by analysing the basic data.
+- Prediction process: This process generates the prediction data to forecast the energy demand and supply by using big data and machine learning tools.
+- Decision making process: This process generates optimization data to support decision making for optimized energy demand and supply.
+
+## **8.4 Interface function**
+
+The interface function supports the interoperability interface based on open API, enabling connectivity between the CL-EMP and other platforms in a city.
+
+It corresponds to the interface function of the SCP specified in [ITU-T Y.4201] and provides energy data according to an EI interface standard.
+
+## **8.5 Service support function**
+
+The service support function supports services and businesses, as well as value-added applications related to building energy, through the following:
+
+- deployment of command centres based on user profiles and permissions;
+- application of integrated maintenance contract management.
+
+The building energy services, described in the use cases in Appendix I, can be developed by external providers. This function facilitates the deployment of these services in the CL-EMP. The services developed by external providers can access the necessary information and services of the CL-EMP via this function.
+
+## **8.6 Security and management function**
+
+This function corresponds to the security and management function of the SCP specified in [ITU-T Y.4201].
+
+# **9 Energy data processing and operation for city energy services**
+
+## **9.1 Energy data value chain model in energy data collection and processing**
+
+The value chain model of energy data in energy data collection and processing is shown in Figure 5.
+
+When stakeholders use the energy data of the CL-EMP, the following values are generated.
+
+- Value is generated by the cost that the data user pays to use the data (see clause 6.4).
+- By using the data, the data users can generate values, such as energy use efficiency. For example, RL-EMP operators use optimization data for energy management of their buildings, resulting in value generation through improved building energy efficiency.
+
+The city-level energy data model in the CL-EMP includes four types of data within a value chain, as follows.
+
+- Basic data: Raw data collected from the RL-EMP, the ESP, and the city IDC are translated into a common data model, forming the basic data in the city-level energy data model. This basic data holds value in its versatility for various analyses and predictions.
+- Statistics and carbon management data: Derived from the basic data through analytic processes, the statistics and carbon management data are generated for individual buildings, building types and regions over different time periods (hourly, daily, monthly or yearly, etc.). These data hold value as they can be utilized for accurate prediction.
+
+- Prediction data: By analysing the statistics and carbon management data with big data and machine learning tools, prediction data are generated for individual buildings, building types, and regions. This data includes forecasts for future energy production and consumption, carbon emissions. This data holds value as it can be used to make effective and clear decisions.
+- Optimization data: Using the prediction data, the optimization data are calculated. These data include energy consumption and production management tailored to each building. The optimization data carry value as they can be used to improve the city's energy efficiency.
+
+
+
+The diagram illustrates the Energy data value chain model within the CL-EMP framework. It shows the flow of data from collection to use, categorized into process flow, data input, and data output.
+
+**CL-EMP Framework:**
+
+- Basic data** (Chevron shape) → **Statistics and carbon data** (Chevron shape) → **Prediction data** (Chevron shape) → **Optimization data** (Chevron shape) → **City-level energy data** (Text)
+
+**Process Flow (Solid Blue Arrows):**
+
+- Data collection** → **Translation** → **Analytics** → **Prediction** → **Decision making** → **Optimization**
+
+**Data Input (Dashed Red Arrows):**
+
+- From **Translation** to **Basic data**
+- From **Analytics** to **Statistics and carbon data**
+- From **Prediction** to **Prediction data**
+- From **Decision making** to **Optimization data**
+- From **Optimization** to **City-level energy data**
+
+**Data Usage and Sharing (Red Arrows):**
+
+- Data sharing** (Red line) connects **Basic data**, **Statistics and carbon data**, and **Prediction data** to **Data use** (Blue box) and **Data user** (Grey box).
+- Recommendation** (Red line) connects **Optimization** to **Data use** (Blue box) and **RL-EMP, ESP, City IDC** (Grey box).
+
+**Legend:**
+
+- Process flow
+- > Data input
+- Data usage
+- > Data output
+
+Y.4498(24)
+
+Figure 5: Energy data value chain model in energy data collection and processing. The diagram illustrates the flow of data from collection to use, categorized into process flow, data input, and data output.
+
+**Figure 5 – Energy data value chain model in energy data collection and processing**
+
+## 9.2 Types and exchange methods of energy data
+
+Figure 6 shows the relationship between data flows and functional processes within the energy data value chain of the CL-EMP.
+
+The CL-EMP collects data from the data sources and improves the quality of the data through pre-processing. The translation process transforms the collected data into common data format of the city-level energy data model because the data formats may vary among different data sources. This generation process leads to generation of the basic data.
+
+
+
+Figure 6: Energy data processing and operation of the CL-EMP. The diagram illustrates the data flow and processing within the CL-EMP system. On the left, 'Data sources' (RL-EMP, ESP, City IDC) feed into an 'Interconnection' block. This block connects to the 'Data collection and pre-process' function (Interconnection function) within the 'Data and knowledge function' block. The process flow continues through 'Translation', 'Analytics', 'Prediction', 'Decision making', and 'Optimization'. Data outputs are shown as cylinders: 'Basic data', 'Statistic and carbon data', 'Prediction data', and 'Optimization data'. These outputs are used for 'Data sharing' (Interface function) and 'Building energy support' (Service support function). A 'Security and management function' is also present. A feedback loop labeled 'Data use (Recommendation data to RL-EMP)' returns from the 'Optimization' step to the 'Interconnection' block. A legend at the bottom defines the arrow types: red solid for Data usage, black solid for Process flow, black dashed for Data output, and red dashed for Data input. Reference Y.4498(24) is noted in the bottom right.
+
+**Figure 6 – Energy data processing and operation of the CL-EMP**
+
+## 9.3 Energy data analytics
+
+The data or knowledge function in Figure 6 performs energy data analytics, which consist of three processes: statistical analysis; prediction; and decision-making.
+
+The analytics process is responsible for performing statistical analysis on the energy data collected from the RL-EMP, the ESP, and the city IDC by using various statistical techniques. The statistics data generated by this analytics process is made available to users through the open API of the data portal or used for building energy services and city energy planning through the service interface.
+
+The city data that can affect consumption and operation of energy is used for prediction. These data include population composition, weather and environmental conditions, policies and institutions, and operational status of facilities. The prediction process uses this city data along with historical daily, weekly, monthly and annual energy consumption data to predict future energy demand. Artificial intelligence (AI) and big data tools can be used to ensure efficient analysis and accurate prediction. The energy demand prediction includes future average and peak energy consumption. These forecast data are generated at hourly, daily, weekly, monthly and yearly intervals, and are updated hourly.
+
+The decision-making process analyses patterns derived from the predictions of average and peak energy consumption, and incorporates them into energy planning and operations. Additionally, the accuracy of the predictions is evaluated by comparing predicted with actual values.
+
+## 9.4 Energy data sharing among stakeholders involved in city energy services
+
+This operation is performed by the interface function in Figure 6.
+
+Stakeholders involved in city energy services include city energy managers, building energy managers, citizens and ESPs involved in energy transactions such as DR, VPP and P2P. Building energy managers can be both consumers and producers of energy data. The CL-EMP shares energy data with stakeholders.
+
+Through the open API of the data portal, stakeholders have access to basic, statistics, demand and supply prediction and optimization data.
+
+The optimization process utilizes optimization data to provide recommendations for efficient building energy management to the RL-EMP.
+
+# **10 Security and privacy considerations**
+
+When sharing and analysing city-level energy data of buildings, security consideration should be in line with the security requirements specified in [b-ITU-T X.1111] and [b-ITU-T Y.2701]. The general security requirements and technologies described in [b-ITU-T X.1111] apply to the functional components of the CL-EMP.
+
+In order to ensure physical security, system security, and operational security, the city-level energy data sharing and analytics among buildings should address the following issues:
+
+- verification of the identity of an entity (e.g., user, process, or device) seeking access to platform resources, such as the city-level energy data;
+- determination of the appropriateness of security requirements and ensuring compliance with the established security policies and procedures;
+- grant of authorization to use platform services;
+- support for cryptography techniques and validation mechanisms for data integrity;
+- privacy concerns.
+
+# Appendix I
+
+## Use cases for city energy services
+
+(This appendix does not form an integral part of this Recommendation.)
+
+This appendix provides use cases for city energy services to support energy planning, management and energy data sharing for a smart sustainable city.
+
+### I.1 Use case 1: Integrated building energy management
+
+#### I.1.1 Overview
+
+Integrated building energy management aims to manage the energy of buildings within a city in an integrated way using the CL-EMP. Such management involves managing the energy situations of different building types or specific buildings by considering the energy demand and supply data of each building.
+
+In this use case, the energy efficiency of buildings is maximized by facilitating energy sharing and trading through comparative analysis of energy supply and demand status of each building. Through the energy data-sharing feature of the CL-EMP, integrated building energy management contributes to the activation of beneficial energy applications such as DR, DER, P2P energy exchange and carbon trading.
+
+#### I.1.2 Scenario
+
+Figure I.1 shows the relationships among the actors involved in this use case.
+
+The CL-EMP collects the necessary data for the integrated building energy management from the city IDC, the ESP and the RL-EMP, and stores it in the smart city energy database. Data from sources such as GIS, a city master plan, buildings and climate are collected from the city IDC. The ESP provides supply and consumption data for electricity, water, gas and heat energy per month or year. Energy consumption data and renewable energy production data are collected from the RL-EMP.
+
+A building manager shares building energy data with other data users through the CL-EMP, and gets optimum energy management data and recommendations for an energy-trading partner from the CL-EMP.
+
+An energy-trading broker develops energy-trading business by receiving energy trading information from the CL-EMP.
+
+
+
+```
+graph LR
+ subgraph CL_EMP [CL-EMP]
+ IBEIM[Integrated building energy management]
+ CED[(City energy data)]
+ end
+ BM[Building manager] -- "Energy management and trading data" --> CL_EMP
+ ETB[Energy trading broker] -- "Energy trading data" --> CL_EMP
+ RL_EMP1[RL-EMP] -- "Energy data" --> CL_EMP
+ RL_EMP2[RL-EMP] -- "Energy data" --> CL_EMP
+ ESP[ESP] -- "Energy data" --> CL_EMP
+ CIDC[City IDC] -- "Public data" --> CL_EMP
+```
+
+Diagram illustrating the relationships among actors in the integrated building energy management use case. The central actor is CL-EMP, which contains an Integrated building energy management module and a City energy data database. Data flows include: Energy management and trading data from Building manager to CL-EMP; Energy trading data from Energy trading broker to CL-EMP; Energy data from RL-EMP to CL-EMP; Energy data from ESP to CL-EMP; and Public data from City IDC to CL-EMP.
+
+Y.4498(24)
+
+Figure I.1 – A use case of integrated building energy management
+
+### I.2 Use case 2: Open API-based city energy data sharing
+
+#### I.2.1 Overview
+
+Open API-based city energy data sharing enables energy data users to conveniently monitor the energy consumption status of buildings in a city and share city energy data through the open API provided by the CL-EMP.
+
+This use case allows city energy data users to participate in energy saving and carbon emission reduction activities in a city. In addition, these users can develop useful applications to improve the energy efficiency of the city.
+
+#### I.2.2 Scenario
+
+Figure I.2 shows the relationships among the actors involved in this use case.
+
+The CL-EMP collects and analyses city energy data, and makes the data available to energy data users through the open API of its data portal. The city energy data are composed of basic data, statistical data, carbon management data, prediction data and optimization data, as described in clause 6.2.
+
+Energy data users can use the city energy data to create additional profitable business models, such as energy trading.
+
+
+
+```
+graph LR; subgraph CL-EMP; DP[Data portal]; CED[(City energy data)]; end; EDU[Energy data user]; DP -- "City energy data (Open API)" --> EDU;
+```
+
+Diagram illustrating the use case of open API-based city energy data sharing. The diagram shows an 'Energy data user' box on the left and a larger 'CL-EMP' box on the right. Inside the 'CL-EMP' box, there is a dashed box labeled 'Data portal' and a cylinder labeled 'City energy data'. An arrow labeled 'City energy data' points from the 'Data portal' to the 'Energy data user' box. The text 'Open API' is written vertically next to the arrow. The identifier 'Y.4498(24)' is located at the bottom right of the diagram.
+
+**Figure I.2 – A use case of open API-based city energy data sharing**
+
+### I.3 Use case 3: GIS-based city energy planning
+
+#### I.3.1 Overview
+
+In order to achieve low carbon emissions in a city, several factors affecting energy demand and supply should be considered during the city planning stage. GIS data, which includes urban spatial information and environmental geographic information, is needed to prevent energy demand and supply imbalance, and reduce greenhouse gas emissions.
+
+A GIS-based city energy plan can utilize this GIS data to predict the local microclimate within a city and forecast urban energy demand based on this prediction. In addition, by leveraging GIS data, this use case visually allows the selection of low-carbon energy sources such as unused energy and renewable energy, identify optimum locations for renewable energy generation, and optimize supply scenario of city energy. Figure I.3 shows an example of a GIS-based visualization of city energy information.
+
+
+
+Figure I.3: GIS-based visualization of current electricity usage status by region in a city. The top part is a map showing heatmaps of electricity usage across different city districts. The bottom part is a bar chart showing electricity usage (MWh) over a 24-hour period from 0:00 to 23:00. The usage peaks around 14:00 and 18:00.
+
+**Figure I.3 – An example of GIS-based visualization of the current electricity usage status information by region in a city**
+
+#### I.3.2 Scenario
+
+Figure I.4 shows the relationships among the actors involved in this use case.
+
+The CL-EMP collects the necessary data for city energy planning from the city IDC, the ESP, and the RL-EMP and stores them in the smart city energy database. The data details are described in clause I.1.2.
+
+Based on this data, the CL-EMP performs GIS-based city energy planning using analytical tools such as AI-based simulation and statistical analysis.
+
+The city energy manager obtains GIS-based city energy data required for city planning from the CL-EMP, establishes an energy plan, and delivers it to the city planner.
+
+
+
+```
+
+graph LR
+ subgraph CL_EMP [CL-EMP]
+ GISP[GIS-based city energy planning]
+ CED[(City energy data)]
+ end
+ RL_EMP[RL-EMP] -- "Energy data" --> CL_EMP
+ ESP[ESP] -- "Energy data" --> CL_EMP
+ City_IDC[City IDC] -- "Public data" --> CL_EMP
+ CL_EMP -- "GIS-based city energy data" --> CEM[City energy manager]
+ CEM -- "Energy plan" --> CP[City planner]
+
+```
+
+Y.4498(24)
+
+Figure I.4: A use case of GIS-based city energy planning. The diagram shows the flow of data and planning between various entities. On the right, data sources (RL-EMP, ESP, City IDC) provide 'Energy data' or 'Public data' to the CL-EMP. The CL-EMP contains a 'GIS-based city energy planning' module and a 'City energy data' database. The CL-EMP sends 'GIS-based city energy data' to the 'City energy manager', who then provides an 'Energy plan' to the 'City planner'.
+
+**Figure I.4 – A use case of GIS-based city energy planning**
+
+## Bibliography
+
+- [b-ITU-T X.1111] Recommendation ITU-T X.1111 (2007), *Framework of security technologies for home network*.
+- [b-ITU-T Y.2701] Recommendation ITU-T Y.2701 (2007), *Security requirements for NGN release 1*.
+- [b-ITU-T Y.4903] Recommendation ITU-T Y.4903 (2022), *Key performance indicators for smart sustainable cities to assess the achievement of sustainable development goals*.
+- [b-IEC 60870-5-4] International Standard IEC 60870-5-4:1993, *Telecontrol equipment and systems – Part 5: Transmission protocols – Section 4: Definition and coding of application information elements*.
+- [b-IEC 61968-11] International Standard IEC 61968-11:2013, *Application integration at electric utilities – System interfaces for distribution management – Part 11: Common information model (CIM) extensions for distribution*.
+- [b-IEC 61970-301] International Standard IEC 61970-301:2022, *Energy management system application program interface (EMS-API) – Part 301: Common information model (CIM) base*.
+- [b-IEC 62325-301] International Standard IEC 62325-301:2018, *Framework for energy market communications Part 301: Common information model (CIM) extensions for markets*.
+
+
+
+
+
+## SERIES OF ITU-T RECOMMENDATIONS
+
+| | |
+|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Series A | Organization of the work of ITU-T |
+| Series D | Tariff and accounting principles and international telecommunication/ICT economic and policy issues |
+| Series E | Overall network operation, telephone service, service operation and human factors |
+| Series F | Non-telephone telecommunication services |
+| Series G | Transmission systems and media, digital systems and networks |
+| Series H | Audiovisual and multimedia systems |
+| Series I | Integrated services digital network |
+| Series J | Cable networks and transmission of television, sound programme and other multimedia signals |
+| Series K | Protection against interference |
+| Series L | Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside plant |
+| Series M | Telecommunication management, including TMN and network maintenance |
+| Series N | Maintenance: international sound programme and television transmission circuits |
+| Series O | Specifications of measuring equipment |
+| Series P | Telephone transmission quality, telephone installations, local line networks |
+| Series Q | Switching and signalling, and associated measurements and tests |
+| Series R | Telegraph transmission |
+| Series S | Telegraph services terminal equipment |
+| Series T | Terminals for telematic services |
+| Series U | Telegraph switching |
+| Series V | Data communication over the telephone network |
+| Series X | Data networks, open system communications and security |
+| Series Y | Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities |
+| Series Z | Languages and general software aspects for telecommunication systems |
\ No newline at end of file
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+
+
+# Recommendation**ITU-T Y.4500.3 (01/2023)**
+
+SERIES Y: Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities
+
+Internet of things and smart cities and communities –
+Frameworks, architectures and protocols
+
+---
+
+**oneM2M – Security solutions**
+
+## ITU-T Y-SERIES RECOMMENDATIONS
+
+# GLOBAL INFORMATION INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS, NEXT-GENERATION NETWORKS, INTERNET OF THINGS AND SMART CITIES
+
+| | |
+|--------------------------------------------------------------------|----------------------|
+| GLOBAL INFORMATION INFRASTRUCTURE | |
+| General | Y.100–Y.199 |
+| Services, applications and middleware | Y.200–Y.299 |
+| Network aspects | Y.300–Y.399 |
+| Interfaces and protocols | Y.400–Y.499 |
+| Numbering, addressing and naming | Y.500–Y.599 |
+| Operation, administration and maintenance | Y.600–Y.699 |
+| Security | Y.700–Y.799 |
+| Performances | Y.800–Y.899 |
+| INTERNET PROTOCOL ASPECTS | |
+| General | Y.1000–Y.1099 |
+| Services and applications | Y.1100–Y.1199 |
+| Architecture, access, network capabilities and resource management | Y.1200–Y.1299 |
+| Transport | Y.1300–Y.1399 |
+| Interworking | Y.1400–Y.1499 |
+| Quality of service and network performance | Y.1500–Y.1599 |
+| Signalling | Y.1600–Y.1699 |
+| Operation, administration and maintenance | Y.1700–Y.1799 |
+| Charging | Y.1800–Y.1899 |
+| IPTV over NGN | Y.1900–Y.1999 |
+| NEXT GENERATION NETWORKS | |
+| Frameworks and functional architecture models | Y.2000–Y.2099 |
+| Quality of Service and performance | Y.2100–Y.2199 |
+| Service aspects: Service capabilities and service architecture | Y.2200–Y.2249 |
+| Service aspects: Interoperability of services and networks in NGN | Y.2250–Y.2299 |
+| Enhancements to NGN | Y.2300–Y.2399 |
+| Network management | Y.2400–Y.2499 |
+| Computing power networks | Y.2500–Y.2599 |
+| Packet-based Networks | Y.2600–Y.2699 |
+| Security | Y.2700–Y.2799 |
+| Generalized mobility | Y.2800–Y.2899 |
+| Carrier grade open environment | Y.2900–Y.2999 |
+| FUTURE NETWORKS | Y.3000–Y.3499 |
+| CLOUD COMPUTING | Y.3500–Y.3599 |
+| BIG DATA | Y.3600–Y.3799 |
+| QUANTUM KEY DISTRIBUTION NETWORKS | Y.3800–Y.3999 |
+| INTERNET OF THINGS AND SMART CITIES AND COMMUNITIES | |
+| General | Y.4000–Y.4049 |
+| Definitions and terminologies | Y.4050–Y.4099 |
+| Requirements and use cases | Y.4100–Y.4249 |
+| Infrastructure, connectivity and networks | Y.4250–Y.4399 |
+| Frameworks, architectures and protocols | Y.4400–Y.4549 |
+| Services, applications, computation and data processing | Y.4550–Y.4699 |
+| Management, control and performance | Y.4700–Y.4799 |
+| Identification and security | Y.4800–Y.4899 |
+| Evaluation and assessment | Y.4900–Y.4999 |
+
+*For further details, please refer to the list of ITU-T Recommendations.*
+
+# Recommendation ITU-T Y.4500.3
+
+## oneM2M – Security solutions
+
+## Summary
+
+Recommendation ITU-T Y.4500.3 provides specifications for machine to machine (M2M) security and privacy protection.
+
+## History
+
+| Edition | Recommendation | Approval | Study Group | Unique ID* |
+|---------|----------------|------------|-------------|---------------------------------------------------------------------------|
+| 1.0 | ITU-T Y.4500.3 | 2023-01-30 | 20 | 11.1002/1000/15076 |
+
+## Keywords
+
+Authentication, authorization, encryption, integrity, oneM2M, privacy, security.
+
+---
+
+\* To access the Recommendation, type the URL in the address field of your web browser, followed by the Recommendation's unique ID. For example, .
+
+## FOREWORD
+
+The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis.
+
+The World Telecommunication Standardization Assembly (WTSA), which meets every four years, establishes the topics for study by the ITU-T study groups which, in turn, produce Recommendations on these topics.
+
+The approval of ITU-T Recommendations is covered by the procedure laid down in WTSA Resolution 1.
+
+In some areas of information technology which fall within ITU-T's purview, the necessary standards are prepared on a collaborative basis with ISO and IEC.
+
+## NOTE
+
+In this Recommendation, the expression "Administration" is used for conciseness to indicate both a telecommunication administration and a recognized operating agency.
+
+Compliance with this Recommendation is voluntary. However, the Recommendation may contain certain mandatory provisions (to ensure, e.g., interoperability or applicability) and compliance with the Recommendation is achieved when all of these mandatory provisions are met. The words "shall" or some other obligatory language such as "must" and the negative equivalents are used to express requirements. The use of such words does not suggest that compliance with the Recommendation is required of any party.
+
+## INTELLECTUAL PROPERTY RIGHTS
+
+ITU draws attention to the possibility that the practice or implementation of this Recommendation may involve the use of a claimed Intellectual Property Right. ITU takes no position concerning the evidence, validity or applicability of claimed Intellectual Property Rights, whether asserted by ITU members or others outside of the Recommendation development process.
+
+As of the date of approval of this Recommendation, ITU had not received notice of intellectual property, protected by patents/software copyrights, which may be required to implement this Recommendation. However, implementers are cautioned that this may not represent the latest information and are therefore strongly urged to consult the appropriate ITU-T databases available via the ITU-T website at .
+
+© ITU 2023
+
+All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU.
+
+## Table of Contents
+
+| | Page |
+|--------------------------------------------------------------------------------|-------------|
+| 1 Scope ..... | 1 |
+| 2 References ..... | 1 |
+| 3 Definitions ..... | 4 |
+| 3.1 Terms defined elsewhere ..... | 4 |
+| 3.2 Terms defined in this Recommendation ..... | 4 |
+| 3.3 Abbreviations and acronyms ..... | 10 |
+| 3.4 Symbols ..... | 12 |
+| 4 Conventions ..... | 12 |
+| 5 Security architecture ..... | 13 |
+| 5.1 Overview ..... | 13 |
+| 5.2 Security layers ..... | 16 |
+| 5.3 Integration within overall oneM2M architecture ..... | 17 |
+| 6 Security services and interactions ..... | 17 |
+| 6.1 Security integration in oneM2M flow of events ..... | 17 |
+| 6.2 Security functions layer ..... | 20 |
+| 6.3 Secure environment and secure environment abstraction ..... | 25 |
+| 7 Authorization ..... | 26 |
+| 7.1 Access control mechanism ..... | 26 |
+| 7.2 AE impersonation prevention ..... | 36 |
+| 7.3 Dynamic authorization ..... | 38 |
+| 7.4 Role based access control ..... | 50 |
+| 8 Security frameworks ..... | 54 |
+| 8.1 General introductions to the security frameworks ..... | 54 |
+| 8.2 Security association establishment frameworks ..... | 60 |
+| 8.3 Remote security provisioning frameworks ..... | 71 |
+| 8.4 End-to-end security of primitives (ESPrim) ..... | 123 |
+| 8.5 End-to-end security of data (ESData) ..... | 136 |
+| 8.6 Remote security frameworks for end-to-end security ..... | 146 |
+| 8.7 End-to-end certificate-based key establishment (ESCertKE) ..... | 154 |
+| 8.8 MAF security framework details ..... | 157 |
+| 9 Security framework procedures and parameters ..... | 171 |
+| 9.0 Introduction ..... | 171 |
+| 9.1 Security association establishment framework procedures and parameters ... | 171 |
+| 9.2 Remote security provisioning framework procedures and parameters ..... | 174 |
+| 10 Protocol and algorithm details ..... | 181 |
+| 10.1 Certificate-based security framework details ..... | 181 |
+| 10.2 TLS and DTLS details ..... | 184 |
+
+| | Page |
+|----------------------------------------------------------------------------------------|-------------|
+| 10.3 Key export and key derivation details..... | 186 |
+| 10.4 Credential-ID details ..... | 189 |
+| 10.5 KpsaID ..... | 189 |
+| 10.6 KmID format..... | 190 |
+| 10.7 Enrolment expiry ..... | 190 |
+| 11 Privacy protection architecture using privacy policy manager (PPM) ..... | 190 |
+| 11.1 Introduction..... | 190 |
+| 11.2 Relationship between components of PPM and oneM2M..... | 190 |
+| 11.3 Privacy policy management in oneM2M architecture ..... | 191 |
+| 11.4 Privacy policy manager implementation models ..... | 197 |
+| 12 Security-specific oneM2M data type definitions ..... | 199 |
+| 12.1 Introduction..... | 199 |
+| 12.2 Simple security-specific oneM2M data types..... | 200 |
+| 12.3 Enumerated security-specific oneM2M data types ..... | 200 |
+| 12.4 Complex security-specific oneM2M data types ..... | 204 |
+| Annex A – Blank annex..... | 207 |
+| Annex B – Blank annex..... | 208 |
+| Annex C – Security protocols associated to specific SE technologies..... | 209 |
+| C.0 Introduction..... | 209 |
+| C.1 UICC ..... | 209 |
+| C.2 Other secure element and embedded secure element with ISO 7816 interface..... | 209 |
+| C.3 Trusted execution environment ..... | 209 |
+| C.4 SE to CSE binding..... | 209 |
+| Annex D – UICC security framework to support oneM2M services ..... | 210 |
+| D.0 Introduction..... | 210 |
+| D.1 Access network UICC-based oneM2M service framework ..... | 211 |
+| D.2 oneM2M service module application for symmetric credentials on UICC (1M2MSM) ..... | 218 |
+| Annex E – Blank annex ..... | 222 |
+| Annex F – Acquisition of location information for location based access control..... | 223 |
+| F.0 Introduction..... | 223 |
+| F.1 Description of region..... | 223 |
+| F.2 Acquisition of location information ..... | 224 |
+| Annex G – Blank annex..... | 227 |
+| Annex H – Blank annex..... | 228 |
+| Annex I – Blank annex ..... | 229 |
+| Annex J – List of privacy attributes ..... | 230 |
+
+| | Page |
+|----------------------------------------------------------------------------------------|-------------|
+| Appendix I – Mapping of 3GPP GBA terminology ..... | 240 |
+| Appendix II – General mutual authentication mechanism ..... | 241 |
+| II.0 Introduction..... | 241 |
+| II.1 Group authentication ..... | 241 |
+| Appendix III – Blank appendix..... | 243 |
+| Appendix IV – Blank appendix..... | 244 |
+| Appendix V – Precisions for the UICC framework to support M2M services ..... | 245 |
+| V.0 Introduction..... | 245 |
+| V.1 Suggested content of the EFs at pre-personalization ..... | 245 |
+| V.2 EF changes via data download or CAT applications ..... | 245 |
+| V.3 List of SFI values at the ADF M2MSM or DF M2M level ..... | 246 |
+| V.4 UICC related tags defined in annex J..... | 246 |
+| Appendix VI – Access control decision request ..... | 247 |
+| Appendix VII – Implementation guidance and index of solutions ..... | 248 |
+| Appendix VIII – Blank appendix..... | 249 |
+| Appendix IX – Blank appendix..... | 250 |
+| Appendix X – Terms and conditions markup language implementation rules ..... | 251 |
+| Appendix XI – Example SCEP implementation ..... | 253 |
+| XI.1 Introduction..... | 253 |
+| XI.2 Certificate provisioning procedures using SCEP ..... | 253 |
+| Bibliography ..... | 258 |
+
+
+
+# Recommendation ITU-T Y.4500.3
+
+# oneM2M – Security solutions
+
+# 1 Scope
+
+This Recommendation defines security solutions applicable within the machine to machine (M2M) system.
+
+The Recommendation contains oneM2M Release 2 specification – oneM2M Security Solutions V2.4.1 and is equivalent to standards of oneM2M partners including ARIB, ATIS [b-ATIS.oneM2M.TS0003], CCSA, ETSI [b-ETSI TS 118 103], TTA, TSDSI [b-TSDSI STD T1.oneM2M TS-0003-2.4.1 V1.0.0], TTA [b-TTAT.MM-TS.0003 v2.4.1] and TTC [b-TTC TS-M2M-0003v2.4.1].
+
+*Editorial note – The structure of this Recommendation, notably clauses 3, 4 and 5, departs slightly from the standard structure of ITU-T Recommendations in order to maintain alignment with the equivalent standards mentioned in this clause. Also, several annexes, appendices and clauses have been intentionally left blank to maintain this alignment.*
+
+# 2 References
+
+The following ITU-T Recommendations and other references contain provisions which, through reference in this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated were valid. All Recommendations and other references are subject to revision; users of this Recommendation are therefore encouraged to investigate the possibility of applying the most recent edition of the Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is regularly published. The reference to a document within this Recommendation does not give it, as a stand-alone document, the status of a Recommendation.
+
+- | | |
+|--------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| [ITU-T X.509] | Recommendation ITU-T X.509 (2019), Information technology – Open Systems Interconnection – The Directory: Public-key and attribute certificate frameworks. |
+| [ITU-T Y.4500.1] | Recommendation ITU-T Y.4500.1 (2018), oneM2M – Functional architecture. |
+| [ITU-T Y.4500.4] | Recommendation ITU-T Y.4500.4 (2018), oneM2M – Service layer core protocol specification. |
+| [ITU-T Y.4500.11] | Recommendation ITU-T Y.4500.11 (2018), oneM2M – Common terminology. |
+| [ITU-T Y.4500.22] | Recommendation ITU-T Y.4500.22 (2018), oneM2M – Field device configuration. |
+| [ITU-T Y.4500.32] | Recommendation ITU-T Y.4500.32 (2018), oneM2M – MAF and MEF interface specification. |
+| [ARIB STD-T64-C.S0078-0] | ARIB STD-T64-C.S0078-0 v1.0 (2006), Secured packet structure for CDMA Card Application Toolkit (CCAT) applications. |
+| [ARIB STD-T64 C.S0079-0] | ARIB STD-T64- C.S0079-0 v1.0 (2006), Remote APDU Structure for CDMA Card Application Toolkit (CCAT) applications. |
+| [ETSI TS 101 220] | ETSI TS 101 220 V16.0.0 (2021), Smart Cards; ETSI numbering system for telecommunication application providers (Release 16). |
+
+- [ETSI TS 102 221] ETSI TS 102 221 V16.2.0 (2020), *Smart Cards; UICC-Terminal interface; Physical and logical characteristics (Release 16)*.
+- [ETSI TS 102 225] ETSI TS 102 225 V11.0.0 (2012), *Smart Cards; Secured packet structure for UICC based applications (Release 11)*.
+- [ETSI TS 102 226] ETSI TS 102 226 V11.0.0 (2012), *Smart Cards; Remote APDU structure for UICC based applications (Release 11)*.
+- [ETSI TS 102 484] ETSI TS 102 484 V11.2.0 (2019), *Smart Cards; Secure channel between a UICC and an end-point terminal (Release 11)*.
+- [ETSI TS 102 671] ETSI TS 102 671 V11.0.0 (2018), *Smart Cards; Machine to Machine UICC; Physical and logical characteristics (Release 11)*.
+- [ETSI TS 131 115] ETSI TS 131 115 V10.1.1 (2013), *Digital cellular telecommunications system (Phase 2+); Universal Mobile Telecommunications System (UMTS); Secured packet structure for (U)SIM Toolkit applications (3GPP TS 31.115 version 10.1.1 Release 10)*.
+- [ETSI TS 131 116] ETSI TS 131 116 V10.3.0 (2012), *Digital cellular telecommunications system (Phase 2+); Universal Mobile Telecommunications System (UMTS); LTE; Remote APDU Structure for (Universal) Subscriber Identity Module (U)SIM Toolkit applications (3GPP TS 31.116 version 10.3.0 Release 10)*.
+- [ETSI TS 133 220] ETSI TS 133 220 V12.3.0 (2014), *Digital cellular telecommunications system (Phase 2+); Universal Mobile Telecommunications System (UMTS); LTE; Generic Authentication Architecture (GAA); Generic Bootstrapping Architecture (GBA) (3GPP TS 33.220 version 12.3.0 Release 12)*.
+- [IETF RFC 2104] IETF RFC 2104 (1997), *HMAC: Keyed-Hashing for Message Authentication*.
+- [IETF RFC 3548] IETF RFC 3548 (2003), *The Base16, Base32, and Base64 Data Encodings*.
+- [IETF RFC 3629] IETF RFC 3629 (2003), *UTF-8, a transformation format of ISO 10646*.
+- [IETF RFC 4279] IETF RFC 4279 (2005), *Pre-Shared Key Ciphersuites for Transport Layer Security (TLS)*.
+- [IETF RFC 4492] IETF RFC 4492 (2006), *Elliptic Curve Cryptography (ECC) Cipher Suites for Transport Layer Security (TLS)*.
+- [IETF RFC 5246] IETF RFC 5246 (2008), *The Transport Layer Security (TLS) Protocol Version 1.2*.
+- [IETF RFC 5280] IETF RFC 5280 (2008), *Internet X.509 Public Key Infrastructure Certificate and Certificate Revocation List (CRL) Profile*.
+- [IETF RFC 5289] IETF RFC 5289 (2009), *TLS Elliptic Curve Cipher Suites with SHA-256/384 and AES Galois Counter Mode (GCM)*.
+- [IETF RFC 5480] IETF RFC 5480 (2009), *Elliptic Curve Cryptography Subject Public Key Information*.
+- [IETF RFC 5487] IETF RFC 5487 (2009), *Pre-Shared Key Cipher Suites for TLS with SHA-256/384 and AES Galois Counter Mode*.
+
+| | |
+|------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| [IETF RFC 5705] | IETF RFC 5705 (2010), Keying Material Exporters for Transport Layer Security (TLS) . |
+| [IETF RFC 5869] | IETF RFC 5869 (2010), HMAC-based Extract-and-Expand Key Derivation Function (HKDF) . |
+| [IETF RFC 6066] | IETF RFC 6066 (2011), Transport Layer Security (TLS) Extensions: Extension Definitions . |
+| [IETF RFC 6347] | IETF RFC 6347 (2012), Datagram Transport Layer Security Version 1.2 . |
+| [IETF RFC 6655] | IETF RFC 6655 (2012), AES-CCM Cipher Suites for Transport Layer Security (TLS) . |
+| [IETF RFC 6920] | IETF RFC 6920 (2013), Naming Things with Hashes . |
+| [IETF RFC 6960] | IETF RFC 6960 (2013), X.509 Internet Public Key Infrastructure Online Certificate Status Protocol – OCSP . |
+| [IETF RFC 6961] | IETF RFC 6961 (2013), The Transport Layer Security (TLS) Multiple Certificate Status Request Extension . |
+| [IETF RFC 7030] | IETF RFC 7030 (2013), Enrollment over Secure Transport . |
+| [IETF RFC 7250] | IETF RFC 7250 (2014), Using Raw Public Keys in Transport Layer Security (TLS) and Datagram Transport Layer Security (DTLS) . |
+| [IETF RFC 7251] | IETF RFC 7251 (2014), AES-CCM Elliptic Curve Cryptography (ECC) Cipher Suites for Transport Layer Security (TLS) . |
+| [IETF RFC 7515] | IETF RFC 7515 (2015), JSON Web Signature (JWS) . |
+| [IETF RFC 7516] | IETF RFC 7516 (2015), JSON Web Encryption (JWE) . |
+| [IETF RFC 7518] | IETF RFC 7518 (2015), JSON Web Algorithms (JWA) . |
+| [IETF RFC 7519] | IETF RFC 7519 (2015), JSON Web Token (JWT) . |
+| [IETF RFC 8824] | IETF RFC 8824 (2020), Simple Certificate Enrolment Protocol . |
+| [ISO/IEC 7816-4] | ISO/IEC 7816-4:2020, Identification cards – Integrated circuit cards – Part 4: Organization, security and commands for interchange . |
+| [NIST EC] | National Institute of Standards and Technology (July 1999), Recommended Elliptic Curves for Federal Government user .
http://csrc.nist.gov/groups/ST/toolkit/documents/dss/NISTReCur.pdf |
+| [OIDF CC] | OpenID Foundation (2014), OpenID Connect Core 1.0 incorporating errata set 1 . |
+| [TIA-1098-A] | TIA-1098-A (2008), Generic Bootstrapping Architecture (GBA) Framework , (3GPP2 S.S0109-A) |
+| [Unicode] | Unicode 5.1.0 (2008), Unicode Standard Annex #15; Unicode Normalization Forms .
http://www.unicode.org |
+| [W3C XMLSIG] | W3C Recommendation (2013), XML Signature Syntax and Processing v1.1 .
http://www.w3.org/TR/xmlsig-core1/ |
+| [W3C XMLENC] | W3C Recommendation (2013), XML Encryption Syntax and Processing v1.1 .
http://www.w3.org/TR/xmlenc-core1/ |
+
+# 3 Definitions
+
+## 3.1 Terms defined elsewhere
+
+For the purposes of this Recommendation the terms and definitions given in [ITU Y.4500.11] and the following apply:
+
+**3.1.1 additional authenticated data** [TIA-1098-A]: Refers to data that is authenticated, but not encrypted by an authenticated encryption with associated data algorithm.
+
+**3.1.2 authenticated encryption with associated data** [TIA-1098-A]: Algorithm providing confidentiality for the plaintext and a way to check its integrity and authenticity while providing the ability to check the integrity and authenticity of some additional authenticated data. In this context plaintext refers to data that is authenticated and encrypted.
+
+**3.1.3 bootstrap server function (BSF)** [ETSI TS 133 220]: BSF is hosted in a network element under the control of a mobile network operator. BSF, home subscriber system (HSS), and user equipment (UEs) participate in generic bootstrapping architecture (GBA) in which a shared secret is established between the network and a UE by running the bootstrapping procedure.
+
+NOTE – The shared secret can be used between NAFs and UEs, for example, for authentication purposes.
+
+**3.1.4 bootstrapping transaction identifier (B-TID)** [ETSI TS 133 220]: Bootstrapping transaction identifier (B-TID) is used to bind the subscriber identity to the keying material in GBA reference points Ua, Ub and Zn.
+
+**3.1.5 CA-Certificate** [b-Menezes]: Certificate created by one certification authority (CA) certifying the public key of another CA.
+
+**3.1.6 digital signature** [b-ITU-T X.510]: The result of a cryptographic transformation of data that, when properly implemented, provides a mechanism for origin authentication, data integrity and signatory non-repudiation.
+
+NOTE – The summary is produced by means of a one-way hash function, while the enciphering is carried out using the private key of the signer.
+
+**3.1.7 personally identifiable information** [ETSI TS 133 220]: Any information about an individual maintained by an agency, including any information that can be used to distinguish or trace an individual's identity, such as name, social security number, date and place of birth, mother's maiden name, or biometric records; and any other information that is linked or linkable to an individual, such as medical, educational, financial, and employment information.
+
+**3.1.8 policy decision point** [b-OASIS XACML]: System entity that evaluates applicable policy and renders an authorization decision.
+
+**3.1.9 policy enforcement point** [b-OASIS XACML]: System entity that performs access control, by making decision requests and enforcing authorization decisions.
+
+**3.1.10 policy information point** [b-OASIS XACML]: System entity that acts as a source of attribute values.
+
+## 3.2 Terms defined in this Recommendation
+
+This Recommendation defines the following terms:
+
+**3.2.1 AE-ID certificate:** Certificate with a certificate chain to a trust anchor certificate and containing an AE-ID in the subjectAltName extension.
+
+NOTE – An AE\_ID certificate can be used to verify that an entity has been assigned the AE-ID in the certificate.
+
+**3.2.2 association configuration:** Phase of a security association establishment framework in which the entity establishing the Security Association (and the Central Key Distribution Server, in
+
+the case of Centralized Security Frameworks), are provided with identities (and any other relevant credentials) to ensure that the security association is established between the intended entities.
+
+**3.2.3 association security handshake:** Phase of a security association establishment framework in which the security association endpoints perform mutual authentication.
+
+**3.2.4 bootstrap credential:** Pre-provisioned credential enabling mutual authentication of the Enrollee and the M2M Enrolment function.
+
+**3.2.5 bootstrap credential configuration:** Phase of a remote security provisioning framework in which the bootstrap credentials are pre-provisioned to the enrollee and the M2M enrolment function.
+
+**3.2.6 bootstrap enrolment handshake:** Phase of a remote security provisioning framework in which the enrollee and M2M enrolment function perform mutual authentication.
+
+**3.2.7 bootstrap instruction configuration:** Phase of a remote security provisioning framework in which the enrollee and M2M enrolment function are provided with identities (and any other relevant credentials) to enable the M2M Enrolment function to establish a master credential between the intended enrollee and M2M Authentication function.
+
+**3.2.8 certificate:** See public key certificate.
+
+**3.2.9 certificate authority:** Certification Authority.
+
+**3.2.10 certificate chain:** Sequence of one or more CA-certificates, where: the public verification key in each CA-certificate is certified in the previous CA-certificate; and the public key of the first CA-Certificate is trusted *a priori*.
+
+NOTE – Trust in the public key in each CA-certificate can be based on trust in the previous CA-Certificate.
+
+**3.2.11 certificate name:** Unique identifier in a name field of a Certificate (e.g., in the ITU-T X.509 "Subject" or "Subject Alternative Name" attribute)
+
+**3.2.12 certificate provisioning (procedure):** Procedure performed by a security principal and a MEF for provisioning the security principal with an MEF-provisioned certificate and certificate(s) of the MEF certificate authority.
+
+NOTE – Additional certificate authority certificates can also be provisioned via other means such as pre-provisioning or [ITU-T Y.4500.22].
+
+**3.2.13 certificate re-provisioning (procedure):** Certificate Provisioning procedure performed when the Security Principal can authenticate itself with a valid Enrolled Certificate.
+
+**3.2.14 certificate signing request:** Message used to request a Public Key Certificate.
+
+**3.2.15 certificate verification:** Process necessary to trust an entity's Certificate.
+
+**3.2.16 certification authority [b-Menezes]:** Authority responsible for establishing and vouching for the authenticity of public keys.
+
+NOTE – This includes binding public keys to distinguished names through signed certificates, managing certificate serial numbers, and certificate revocation.
+
+**3.2.17 content encryption key:** Symmetric key used to encrypt plaintext to produce the ciphertext and generate a message integrity check (MIC).
+
+NOTE – In Authenticated Encryption with Associated Data (AEAD), the content encryption key is used directly, while in other algorithms the content encryption key is used to generate distinct keys for the encryption algorithm and integrity protection algorithm.
+
+**3.2.18 credential configuration:** Phase of a security association establishment framework in which the credentials necessary for the security association establishment framework are configured to the relevant entities and functions.
+
+**3.2.19 Credential-ID type-ID:** Portion of a Credential-ID indicating the type of credential being identified.
+
+**3.2.20 CSE-ID certificate:** Certificate with a certificate chain to a root of trust and containing a CSE-ID in the subjectAltName extension.
+
+NOTE – A CSE\_ID certificate can be used to verify that an entity has been assigned the CSE-ID in the certificate.
+
+**3.2.21 device certificate:** Certificate with a certificate chain to a root of trust and containing at least one globally unique hardware instance identifier in the subjectAltName extension.
+
+NOTE – A device certificate can be used to verify that an entity is executing on the identified hardware instance.
+
+**3.2.22 ESCertKE initiating end-point:** ESCertKE end-point which initiates the ESCertKE procedure.
+
+**3.2.23 ESCertKE Messages:** Messages exchanged between the ESCertKE initiating end-point and ESCertKE terminating end-point as part of end-to-end certificate-based key establishment.
+
+**3.2.24 ESCertKE procedure:** Sequence of exchanged ESCertKE Messages and processing based on those ESCertKE messages, for the purposes of end-to-end certificate-based key establishment.
+
+**3.2.25 ESCertKE terminating end-point:** ESCertKE end-point with which the ESCertKE Initiating End-Point intends to perform the ESCertKE procedure.
+
+**3.2.26 end-to-end certificate-based key establishment:** Interoperable framework for two end-points to use certificates for establishing end-to-end secret symmetric keys for use in other end-to-end security frameworks such as end-to-end security of data (ESData) or end-to-end security of primitives (ESPrim).
+
+**3.2.27 end-to-end security of data:** Interoperable framework for protecting data that ends up transported using oneM2M reference points, in order that transited common service entities (CSEs) do not need to be trusted with that data.
+
+**3.2.28 end-to-end security of primitives:** Interoperable framework for securing the exchange of oneM2M primitives so that CSEs do not need to be trusted with the confidentiality and integrity of the primitives.
+
+**3.2.29 enrollee:** Application entity (AE) or common service entity (CSE) that requires remote provisioning of a symmetric key to be shared with an enrolment target.
+
+**3.2.30 enrolment key:** Symmetric key established between an Enrollee and M2M Enrolment Function following successful mutual authentication.
+
+NOTE – A symmetric key to be shared by the Enrollee and an Enrolment Target may be derived (at the Enrollee and M2M Enrolment Function) from the currently valid Enrolment Key, and the M2M Enrolment Function subsequently securely delivers the symmetric key to the Enrolment Target.
+
+**3.2.31 enrolment key generation:** Phase of remote security provisioning framework in which the enrollee and M2M enrolment function establish an enrolment key and enrolment key identifier.
+
+**3.2.32 enrolment phase:** Step in the lifecycle of an M2M equipment where it becomes provisioned for operation with a specific M2M service provider.
+
+**3.2.33 enrolment target:** M2M authentication function, CSE, or AE with whom an enrollee wishes to establish a symmetric key (master credential or pre-provisioned secure connection key) using remote security provisioning.
+
+**3.2.34 entity identifier:** CSE-ID (or AE-ID respectively) of a CSE (or AE respectively).
+
+**3.2.35 ESData envelope:** Data object containing the result of protecting an end-to-end security of data (ESData) payload using the ESData procedures.
+
+**3.2.36 ESData payload:** Data to be protected using end-to-end security of data (ESData).
+
+**3.2.37 FQDN certificate:** Certificate with a certificate chain to a root of trust and containing a fully qualified domain name (FQDN).
+
+**3.2.38 generic bootstrap architecture:** Set of 3GPP and 3GPP2 specifications providing security features and a mechanism to bootstrap authentication and key agreement for application security from the 3GPP and 3GPP2 underlying network authentication mechanisms.
+
+**3.2.39 initial certificate provisioning (procedure):** Certificate provisioning procedure performed when the security principal cannot authenticate itself with a valid enrolled certificate.
+
+**3.2.40 inner request primitive:** Request primitive to be protected by end-to-end Security of Primitives (ESPrim).
+
+**3.2.41 inner response primitive:** Response primitive to be protected by end-to-end Security of Primitives (ESPrim).
+
+**3.2.42 message integrity code:** Tag computed from a message and a symmetric key, and attached to a message.
+
+NOTE 1 – The purpose of a message integrity code is to facilitate, without the use of any additional mechanisms, assurances regarding both the source of a message and its integrity.
+
+NOTE 2 – A message integrity code is sometimes called a "Message Authentication Code" – "Message Integrity Code" has been used since the abbreviation of "Message Authentication Code" (MAC) might be misunderstood to refer to "Media Access Control". The definition is based on text from [b-Menezes] (p323).
+
+**3.2.43 M2M secure connection key:** Symmetric key established between two entities (CSEs or AEs), by an of M2M Authentication Function, in order to secure the communication between those two entities.
+
+NOTE – This M2M secure connection key results from a successful M2M Security Association Establishment procedure.
+
+**3.2.44 M2M trust enabler:** A stakeholder trusted with enabling authentication of CSEs/AEs to other CSEs/AEs.
+
+**3.2.45 MAF client:** CSE or AE configured to use the services of an M2M authentication function.
+
+**3.2.46 MAF Credential Configuration procedure:** A MAF security framework procedure used for enrolment phase of an end-point by establishing credentials for mutual authentication between an end-point and an MAF.
+
+**3.2.47 MAF handshake procedure:** An M2M authentication function (MAF) security framework procedure in which an entity and the MAF perform mutual authentication and generate a symmetric key which can then be used in the association security handshake for mutual authentication between that entity and other entities.
+
+**3.2.48 MAF key registration procedure:** An M2M authentication function (MAF) security framework procedure in which a Source end-point and the MAF generate a symmetric key which can then be used for mutual authentication between the source end-point and one or more other target end-points.
+
+**3.2.49 MAF key retrieval procedure:** An M2M authentication function (MAF) security framework procedure in which a target end-point retrieves the symmetric key previously generated by the MAF and a source end-point, to enable mutual authentication between the source end-point and the target end-point.
+
+**3.2.50 master credentials:** Credentials used to mutually authenticate between an ASN/MN-CSE and the M2M authentication function (MAF). This is done to secure access to the infrastructure of an M2M service provider.
+
+NOTE – The master credentials are either pre-provisioned or remotely provisioned (without relying on those credentials).
+
+**3.2.51 MEF certificate authority:** Role of a certificate authority which issues MEF-provisioned certificates to a security principal through the M2M enrolment function (MEF).
+
+NOTE – The term is relative to the MEF, so an MEF certificate authority with respect to one MEF is not an MEF certificate authority with respect to another MEF.
+
+**3.2.52 MEF client:** functionality for performing M2M Enrolment Function (MEF) procedures on behalf of an associated CSE or AE, or on behalf of CSE or AE(s) present on an associated node, or an associated M2M authentication function (MAF).
+
+**3.2.53 MEF-provisioned certificate:** Certificate issued by a certificate authority, via an MEF, for authenticating the security principal.
+
+NOTE – The term is relative to the MEF, so a MEF-provisioned certificate with respect to one MEF is not a MEF-provisioned certificate with respect to another MEF.
+
+**3.2.54 (oneM2M) security principal:** CSE or AE or Node or M2M Device which can be authenticated.
+
+NOTE – When the Security Principal is a Node or M2M Device, then Node or M2M Device is acting on behalf of the CSE and/or AE executing on the Node or M2M Device.
+
+**3.2.55 online Certificate Status protocol:** A protocol for requesting a report on the status of one or more ITU-T X.509 certificates [IETF RFC 6960].
+
+**3.2.56 operational phase:** Period in the lifecycle of an M2M equipment where it is actually used for providing M2M services.
+
+**3.2.57 outer request primitive:** Request primitive used to transport the data object containing an inner request primitive to which end-to-end security of primitives (ESPrim) has been applied.
+
+**3.2.58 outer response primitive:** Response primitive used to transport the data object containing an inner response primitive to which end-to-end security of primitives (ESPrim) has been applied.
+
+**3.2.59 policy retrieval point:** System entity that retrieves applicable policy or policy set.
+
+**3.2.60 pre-provisioned secure connection key:** Symmetric key that is pre-provisioned to two entities (which may be AEs or CSEs) to be used for mutual authentication of those entities in Security Association Establishment.
+
+**3.2.61 pre-provisioned secure connection key identifier:** Identifier for a pre-provisioned secure connection key.
+
+**3.2.62 pre-provisioned symmetric enrollee key:** Symmetric key that is pre-provisioned to the Enrollee and M2M Enrolment Function
+
+**3.2.63 pre-provisioned symmetric enrollee key identifier:** Identifier for a pre-provisioned symmetric enrollee key.
+
+**3.2.64 private signing key:** Secret key that can generate signatures that can be verified using a corresponding public verification key.
+
+**3.2.65 public key certificate:** Electronic document that uses a digital signature to bind a public key with an identity.
+
+NOTE – [b-Menezes] A *public-key certificate* is a data structure consisting of a data part and a signature part. The data part contains cleartext data including, as a minimum, a public [verification] key and a string identifying the part (subject entity) to be associated therewith. The signature part consists of the digital signature of a certification authority over the data part, thereby binding the subject entity's identity to the specified public key.
+
+**3.2.66 public key certificate flavour:** Name describing the usage of a public key certificate within the scope of oneM2M.
+
+**3.2.67 public key infrastructure:** Set of hardware, software, people, policies, and procedures needed to create, manage, distribute, use, store, and revoke public key certificates. For more details, see [b-Menezes].
+
+**3.2.68 public verification key:** Credential that can verify digital signatures generated by a corresponding private signing key, but which cannot be used to generate digital signatures.
+
+**3.2.69 raw public key certificate:** Certificate comprising only the SubjectPublicKeyInfo structure of an ITU-T X.509 certificate that carries the parameters necessary to describe the public key [IETF RFC 7250].
+
+**3.2.70 registration authority:** Functional entity responsible for verifying certificate signing requests and authorizing a certification authority to issue a corresponding certificate.
+
+**3.2.71 relative enrolment key identifier:** Part of the enrolment key identifier that is unique within the context of a M2M Enrolment Function.
+
+**3.2.72 security association establishment:** Sequential processing of credential configuration, association configuration and association security handshake between two entities.
+
+**3.2.73 security association establishment framework:** Security framework for security association establishment.
+
+**3.2.74 security bootstrap framework or remote security provisioning framework:** A mechanism for remotely provisioning a master credential and master credential identifier to an enrollee and an M2M authentication function.
+
+**3.2.75 secure environment:** A logical entity that protects sensitive data and sensitive functions from tampering, unauthorized monitoring or execution and that provides access to these sensitive data and sensitive functions to authorized oneM2M entities.
+
+**3.2.76 security framework:** Set of procedures providing security association establishment or remote security provisioning.
+
+**3.2.77 security usage identifier:** Identifies a security feature (e.g., security association establishment framework, end-to-end security of primitives or end-to-end security of data), a protocol used for that security feature, and (where applicable) an option within a single protocol.
+
+NOTE – The security usage identifier is used to limit how a credential may be used.
+
+**3.2.78 sensitive function:** Function processed within the secure environment requiring protection from unauthorized monitoring, tampering or execution and that is operating on sensitive data, i, derivation of keys from M2M long-term service-layer keys and cryptographic algorithms.
+
+**3.2.79 self-signed certificate:** Public key certificate that is signed by the same entity whose identity it certifies.
+
+**3.2.80 source ESData end-point:** Entity producing an end-to-end security data (ESData) envelope from an ESData Payload.
+
+**3.2.81 symmetric key:** Secret key that is shared between two entities.
+
+**3.2.82 target ESData end-point:** Entity producing the verified end-to-end security of data (ESData) payload from an ESData envelope.
+
+**3.2.83 trust anchor certificate:** Certificate that is trusted a priori.
+
+## 3.3 Abbreviations and acronyms
+
+This Recommendation uses the following abbreviations and acronyms:
+
+| | |
+|-------------|---------------------------------------------------|
+| (D)TLS-PSK | (D)TLS Pre-Shared Key (ciphersuites) |
+| AAA | Authentication, Authorization and Accounting |
+| ABAC | Attribute Based Access Control |
+| ACP | AccessControlPolicy Instance |
+| AE | Application Entity |
+| AEAD | Authenticated Encryption with Associated Data |
+| AE-ID | Application Entity Identifier |
+| API | Application Programming Interface |
+| App-ID | Application Identifier |
+| ASN-CSE | CSE which resides in the Application Service Node |
+| BSF | Bootstrapping Server Function |
+| B-TID | Bootstrapping Transaction Identifier |
+| CA | Certification Authority or Certificate Authority |
+| CIDR | Classless Inter-Domain Routing |
+| CoAP | Constrained Application Protocol |
+| CSE | Common Service Entity |
+| CSE-ID | Common Service Entity Identifier |
+| CSR | Certificate Signing Request |
+| DAS | Dynamic Authorization System |
+| DTLS | Datagram Transport Layer Security (Protocol) |
+| EKU | Extended Key Usage |
+| Enrollee-ID | Enrollee Identity |
+| ESCertKE | End-to-End Certificate-based Key Establishment |
+| ESData | End-to-End Security of Data |
+| ESF | End-to-End Security Function |
+| ESPrim | End-to-end Security of Primitives |
+| EST | Enrolment over Secure Transport |
+| FQDN | Fully Qualified Domain Name |
+| GBA_ME | ME-based GBA |
+| GBA_U | GBA with UICC-based enhancements |
+| GUSS | GBA User Security Settings |
+| HLR | Home Location Register |
+| HSS | Home Subscriber System |
+| HTTP | HyperText Transfer Protocol |
+| HW | Hardware |
+
+| | |
+|------------------|----------------------------------------------------------------------------------|
+| ID | Identifier |
+| IdA | Identifier for entity A |
+| IdB | Identifier for entity B |
+| IN | Infrastructure Node |
+| IN-CSE | CSE which resides in the Infrastructure Node |
+| IPv4 | Internet Protocol version 4 |
+| IPv6 | Internet Protocol version 6 |
+| IV | Initialization Vector |
+| JWE | JSON Web Encryption |
+| JWS | JSON Web Signature |
+| JWT | JSON Web Token |
+| Kc | M2M Secure Connection Key |
+| KcID | M2M Secure Connection Key Identifier |
+| Ke | Enrolment Key |
+| KeID | Enrolment Key Identifier |
+| Ker | Enrolment Re-Authentication Key |
+| Km | Master Credential |
+| KmID | Master Credential Identifier |
+| Kpm | pre-provisioned credential for Master Credential provisioning |
+| KpmID | pre-provisioned credential for Master Credential provisioning Identifier |
+| Kpsa | provisioned credential for M2M Security Association Establishment |
+| KpsaID | provisioned credential for M2M Security Association Establishment Identifier |
+| Ks | temporary Key material referred to in GBA |
+| Ks. NAF | Abbreviation of Ks_(int/ext)_NAF |
+| Ks_(ext/int)_NAF | Derived key in GBA_ME or Derived key in GBA_U which remains on UICC |
+| Ks_ext_NAF | Derived key in GBA_U sent to the ME |
+| Ks_int_NAF | Derived key in GBA_U which remains on UICC |
+| Ks_NAF | Derived key in the ME |
+| M2M | Machine to Machine |
+| M2M-SP | M2M Service Provider |
+| MAF | M2M Authentication Function |
+| MAF-ID | M2M Authentication Function Identifier |
+| Mca | Reference Point for M2M Communication with AE |
+| Mcc | Reference Point for M2M Communication with CSE |
+| Mcc' | Reference Point for M2M Communication with CSE of different M2M Service Provider |
+| Mcn | Reference Point for M2M Communication with NSE |
+
+| | |
+|--------|----------------------------------------------|
+| MEF | M2M Enrolment Function |
+| MIC | Message Integrity Code |
+| MN-CSE | CSE which resides in the Middle Node |
+| MTE | M2M Trust Enabler |
+| NAF | Network Application Function |
+| OCSP | Online Certificate Status Protocol |
+| OTA | Over The Air |
+| PDP | Policy Decision Point |
+| PEP | Policy Enforcement Point |
+| PII | Personally Identifiable Information |
+| PIP | Policy Information Point |
+| PKI | Public Key Infrastructure |
+| PRP | Policy Retrieval Point |
+| RA | Registration Authority |
+| RSPF | Remote Security Provisioning Framework |
+| SAEF | Security Association Establishment Framework |
+| SCEP | Simple Certificate Enrolment Protocol |
+| SE | Secure Environment |
+| SUID | Security Usage Identifier |
+| SW | Software |
+| T&C | Terms and Conditions |
+| TEE | Trusted Execution Environment |
+| TEF | Trust Enabling Function |
+| TLS | Transport Layer Security (Protocol) |
+| UE | (3GPP) User Equipment |
+| UICC | Universal Integrated Circuit Card |
+| UNSP | Underlying Network Service Provider |
+| URI | Uniform Resource Identifier |
+| USS | User Security Settings |
+| XACM | extensible Access Control Markup language |
+
+## 3.4 Symbols
+
+For the purposes of this Recommendation, the following symbol applies:
+
+|| Concatenation
+
+# 4 Conventions
+
+The key words "Shall", "Shall not", "May", "Need not", "Should", "Should not" in this Recommendation are to be interpreted as described:
+
+Shall/Should not:
+
+## **Requirements**
+
+- 1) effect on Standard: Standard needs to describe the required feature (i.e., specify a technical solution for the Requirement);
+- 2) effect on products: every implementation (M2M solution that complies to this Recommendation) must support it; and
+- 3) effect on deployments: Every deployment (M2M service based on this Recommendation) must use the Standardized feature where applicable – otherwise, e.g., interoperability problems with other services could arise.
+
+Should/Should not:
+
+## **Recommendation**
+
+- 1) effect on Standard: Standard needs to describe a solution that allows the presence and the absence of the feature;
+- 2) effect on products: an implementation may or may not support it, however support is recommended;
+- 3) effect on deployments: a deployment may or may not use it, however usage is recommended.
+
+May/Need not:
+
+## **Permission/Option**
+
+- 1) effect on Standard: Standard needs to describe a solution that allows the presence and the absence of the required feature;
+- 2) effect on products: an implementation may or may not support it;
+- 3) effect on deployments: A deployment may or may not use it.
+
+# **5 Security architecture**
+
+## **5.1 Overview**
+
+### **5.1.0 Introduction**
+
+Figure 5.1.0-1 provides a high level overview of the Security architecture.
+
+The architecture consists of following layers:
+
+#### **Security Functions layer**
+
+This layer contains a set of security functions that are exposed at reference point Mca and Mcc. These security functions can be classified into six categories; they are Identification, authentication, authorization, security association, sensitive data handling and security administration.
+
+#### **Security environment abstraction layer**
+
+This layer implements various security capabilities such as key derivation, data encryption/decryption, signature generation/verification, security credential read/write from/to the secure environments, and so on. The security functions in the security functions layer invoke these functions in order to protect the operations in the secure environments. In addition, this layer also provides physical access to the secure environments. Implementation of this is out of scope of this Recommendation. This layer is not specified in the present release but is expected to be considered in future releases.
+
+#### Secure environments layer
+
+This layer contains one or multiple secure environments that provide various security services providing adequate protection to sensitive data storage and sensitive function execution. The sensitive data includes secure environment (SE) capability, security keys such as long term symmetric keys and asymmetric private keys, local credentials, security policies, identity information, subscription information, and so on. The sensitive functions include data encryption, data decryption, and so on. Though implementation of secure environments is out of scope of this Recommendation, a reference framework to interface M2M entities with UICCs is provided in Annex D.
+
+Security services: e.g., secure environment abstraction API\*
+
+
+
+The diagram illustrates the high-level overview of the security architecture, organized into three main layers within a large container box:
+
+- Security functions layer** (top section):
+ - Access management** (dashed box): Includes Identification and authentication, Authorization, and Identity management.
+ - Trust enabling security functions** (dashed box): Includes M2M enrolment function (MEF), M2M authentication function (MAF), Dynamic authorization system (DAS), and Privacy policy manager (PPM).
+ - Other components: Security administration, Identity protection, Sensitive data handling, and Security association establishment.
+- Secure environment abstraction layer** (middle section):
+ - Contains a box labeled **Secure environment abstraction\***.
+- Secure environments layer** (bottom section):
+ - Contains multiple stacked boxes representing **Secure environment n**.
+ - Each **Secure environment n** box contains two sub-components: **Sensitive data** and **Sensitive functions**.
+
+Y.4500.3(23)
+
+High level overview of the security architecture diagram
+
+**Figure 5.1.0-1 – High level overview of the security architecture**
+
+#### Design principles
+
+Security services are modular and configurable according to the needs of the hosting common service entity (CSE), its supported reference points and its purpose.
+
+The architecture is split into several components and sub-components providing a modular design. With this design, mapping of the architecture to different nodes and entities is enabled.
+
+Depending on the requirements of each entity, Security consists of components relevant to fulfil the requirements of the respective node or entity and the intended use case.
+
+The architecture needs to be adapted to be suitable for implementation in different entities. For example, the architecture can be mapped to different device classes.
+
+The security administration component is supposed to enable administration of all sensitive resources (data and functions) and also allow configuration and extension of security services itself.
+
+The secure environment within the CSE is accessed via the secure environment abstraction layer and is expected to provide an adequate level of protection to the sensitive information listed in clause 6.2.3.2.
+
+#### **Access management**
+
+The following three components are part of access management layer. Further details are provided in clause 6.2.
+
+### **5.1.1 Identification and authentication**
+
+The identification and authentication function is in charge of identification and mutual authentication of CSEs and application entities (AEs).
+
+Identification is the process of checking if the identity provided for authentication is valid. How to perform an identification process will depend on the purpose of authentication. For example, in the case of resource access, the authentication function can require the identification to check if the AE or CSE has registered with the local CSE; in the case of AE or CSE registration, the authentication function can require the identification to check if the identity provided by an AE or CSE fits a certificate. Once passing this checking process, the AE or CSE is identified, and the identified identity will be supplied to authentication process.
+
+Authentication is the process of validating if the identity supplied in the identification step is associated with a trustworthy credential. How to perform an authentication process will depend on which mutual authentication mechanism is used. For example, in the case of using a certificate based authentication mechanism, the authentication function can require the authentication to verify a digital signature; in the case of using a symmetric key based authentication mechanism, the authentication function can require the authentication to verify a message integrity code (MIC). When this validating process has been completed, the AE or CSE is authenticated.
+
+### **5.1.2 Authorization**
+
+The authorization function is responsible for authorizing services and data access to authenticated entities according to provisioned access control policies (ACPs) and assigned roles.
+
+Access control policy is defined as sets of conditions that define whether entities are permitted access to a protected resource. The authorization function can support different authorization mechanisms, such as access control list (ACL), role based access control (RBAC), etc. The authorization function could need to evaluate multiple access control policies in an authorization process in order to get a final access control decision. This process is further described in clause 7 "Authorization".
+
+Authorization evaluation process is based on the service subscription resource which specifies what M2M services and M2M service roles the authenticated entity has subscribed to and the access control policies associated with the protected resource. The authorization evaluation process can also consider contextual attributes such as time or geographic location.
+
+Prior to authorization mutual authentication between the Originator CSE or AE and hosting CSE can be performed as specified in clause 8. Clause 6.1.2.2.1 describes the conditions under which mutual authentication is mandatory. An access control rule can also include an indicator that the access control rule applies only when mutual authentication has been performed successfully and the result of mutual authentication is still current; see clause 7.1.3 for details.
+
+### **5.1.3 Identity management**
+
+The identity management function provides oneM2M identities/identifiers to the requesting entity in case those identities are stored within the secure environment. oneM2M identifiers as defined in the oneM2M Architecture ([ITU-T Y.4500.1]) can also be treated as sensitive data that are accessible to AEs or CSEs and used independently of authentication or authorization functions.
+
+## **5.2 Security layers**
+
+### **5.2.1 Security functions layer**
+
+This layer provides the following services:
+
+- Access management
+ - Identification and authorization.
+ - Authentication.
+ - Access control.
+- Sensitive data handling:
+ - Sensitive functions protection.
+ - Secure storage.
+- Trust enabling security functions:
+ - MEF (M2M enrolment function).
+ - MAF (M2M authentication function)
+ - DAS (dynamic authorization system)
+ - PPM (privacy policy manager).
+- Security association establishment
+ - Secure connection via secure session establishment.
+ - Secure connection via object security.
+- Security administration (including remote security provisioning).
+- Identity protection.
+
+Each of these services provides functions and resources on the Security Service and Administration application programming interface (API).
+
+### **5.2.2 Secure environment abstraction layer**
+
+The secure environment abstraction layer (not specified in this Recommendation) provides access to the secure environment via a general security transport API. A plug-in associated to the type of secure environment provides physical/logical connectivity to the secure environment. The secure environment abstraction layer also has to be accessible on the service layer.
+
+## 5.3 Integration within overall oneM2M architecture
+
+Security services are provided within the following architectural components and interact on the different reference points as described in [ITU-T Y.4500.1]. Figure 5.3-1 shows oneM2M functional architecture.
+
+
+
+Figure 5.3-1: oneM2M functional architecture diagram. The diagram is divided into two domains by a vertical dashed line: 'Field domain' on the left and 'Infrastructure domain' on the right. In the Field domain, there is a stack of three boxes: 'AE' (Application Entity) at the top, 'CSE' (Common Services Entity) in the middle, and 'NSE' (Network Service Entity) at the bottom. They are connected by vertical lines labeled 'Mca' (between AE and CSE) and 'McN' (between CSE and NSE). In the Infrastructure domain, there is a similar stack: 'AE' at the top, 'CSE' in the middle, and 'NSE' at the bottom, connected by 'Mca' and 'McN' respectively. A horizontal line labeled 'Mcc' connects the 'CSE' box in the Field domain to the 'CSE' box in the Infrastructure domain. Another horizontal line labeled 'Mcc'' connects the 'CSE' box in the Infrastructure domain to a cloud shape labeled 'To infrastructure domain of other service provider'. A diagonal line labeled 'Mca' also connects the 'AE' box in the Field domain to the 'CSE' box in the Infrastructure domain. The reference 'Y.4500.3(23)' is located at the bottom right of the diagram.
+
+Figure 5.3-1 – oneM2M functional architecture
+
+# 6 Security services and interactions
+
+## 6.1 Security integration in oneM2M flow of events
+
+### 6.1.1 Interactions between layers
+
+Before any M2M common services layer procedure can take place, connectivity has to be established in the underlying network services layer, which may involve independent provisioning and service registration procedures specified by the underlying network.
+
+The service layer security provisioning (security pre-provisioning or security bootstrapping) and security association establishment procedures specified in this Recommendation can take place independently (and generally consecutively) from any required network service layer connectivity establishment procedures.
+
+Finally, the security provisioning and security association establishment requirements imposed by M2M application service providers have to be accounted for. At the service layer level, the security association establishment results in a transport layer security (TLS) or datagram transport layer security (DTLS) session which protects messages being exchanged between adjacent AE/CSE, i.e., hop-by-hop. AEs that need to preserve the privacy of their information exchange from untrusted intermediate associations enable the content of resources exchanged between AEs to be encrypted through the service layer. In some scenarios (see clause 8.2.1), security association establishment between adjacent AE/CSE requires separate TLS or DTLS sessions for each transmission direction, i.e., a pair of security associations nodes can be provisioned to support a direct security association between them. Direct security association interactions between layers is detailed in clause 8.5.
+
+### 6.1.2 High level sequence of events
+
+#### 6.1.2.1 Enrolment phase
+
+M2M equipment typically require provisioning and configuration phases before being put in actual operation. This can be performed by a pre-provisioning that can be integrated in the manufacturing or product deployment phase, or by means of a security bootstrapping procedure (i.e., remote security provisioning) that takes place before the equipment starts actual operation.
+
+At the service layer level, such provisioning and configuration requires selection of the stakeholder that will provide services through the equipment, especially the M2M service provider. This enrolment phase requires agreements between the stakeholders.
+
+An enrolment phase may occur several times during the lifecycle of an M2M equipment, but is only repeated when a change in the service provider affects the provisioning or configuration of the equipment.
+
+The security provisioning phase for the different layers can be combined using a common method of security pre-provisioning.
+
+Remote security provisioning frameworks (RSPF) provide post-provisioning of the essential information to establish a security association between a field domain entity and the M2M authentication function of a chosen M2M service provider. The essential security information includes the security credentials and identifiers. Remote security provisioning procedures rely on an M2M enrolment function which can be external to the M2M service provider to establish appropriate credentials.
+
+**Pre-provisioned symmetric Enrollee key remote security provisioning framework:** A symmetric key is pre-provisioned to the enrollee and M2M enrolment function for the mutual authentication of those entities. For more details, see clause 8.3.2.1.
+
+**Certificate-based remote security provisioning framework:** The enrollee and M2M enrolment function are each issued and authenticate themselves with private signing keys and certificates containing the corresponding public verification key. For more details see clause 8.3.2.2.
+
+**GBA-based remote security provisioning framework:** This method of remote provisioning is applicable only to 3rd generation partnership project (3GPP) devices.
+
+In this case, the M2M enrolment function includes the functionality of a GBA bootstrap server function. This framework uses 3GPP or 3rd generation partnership project 2 (3GPP2) symmetric keys to authenticate the Enrollee and the M2M enrolment function (which is also a GBA BSF). The details are specified by 3GPP TS 33.220 [ETSI TS 133 220] and 3GPP2 S.S0109-A [TIA-1098-A]. For more details see clause 8.3.2.3.
+
+NOTE 1 – The use of GBA is intended only to be used in the enrollment phase. It derives a number of symmetric credentials that can be used for any purpose at the application layer, not necessarily for authentication. The oneM2M specifications then use these to further derive a number of symmetric credentials as input to the pre-shared key (PSK) authentication and confidentiality and integrity protection security protocols, specifically (D)TLS-PSK and PSK-based SAEF, ESPrim and ESData as described in clause 8.3.2.3.
+
+NOTE 2 – TS 33.221 "Support for subscriber certificates (SSC)" is not supported in the specification as there are now many other globally recognized ways of deploying certificate in devices since TS33.221 was published. oneM2M supports simple certificate enrolment protocol (SCEP) in clause 8.3.6.3 certificate provisioning procedures using SCEP and enrolment over secure transport (EST) in clause 8.3.6.2 certificate provisioning procedures using EST. For more details see clause 8.3.2.3.
+
+Figure 6.1.2.1-1 illustrates the different remote security provisioning frameworks. Note there is no communication between M2M entities A and B in the remote security provisioning procedure. After successful completion of the remote security provisioning procedure, a security association establishment procedure is applied.
+
+
+
+Figure 6.1.2.1-1: Entities involved in remote security provisioning. The diagram shows four domains: Field domain, UN-SP domain, Third-party domain or M2M-SP infrastructure domain, and M2M-SP infrastructure domain. In the Field domain is an M2M entity. In the UN-SP domain is a GBA BSF. In the Third-party domain is a MEF. In the M2M-SP infrastructure domain is a MAF. Arrows indicate security provisioning flows: GBA-based RSFP from BSF to M2M entity; Certificate-based and PMSCK RSFP from BSF to MEF; Common to all RSFP from BSF to MAF; SAEF after GBA RSFP from BSF to M2M entity; SAEF after RSFP from MAF to M2M entity; and SAEF after RSFP from MAF to M2M entity. A dashed arrow also points from MEF to M2M entity. The reference Y.4500.3(23) is noted at the bottom right.
+
+**Figure 6.1.2.1-1 – Entities involved in remote security provisioning**
+
+#### 6.1.2.2 Operational phase
+
+##### 6.1.2.2.1 M2M service access
+
+M2M services are offered by CSEs to AEs and/or other CSEs. To be able to use M2M services offered by one CSE, the AEs and/or CSEs need to be mutually identified and authenticated with that CSE, in order to provide protection from unauthorized access and denial of service (DoS) attacks. This mutual authentication enables the additional provision of encryption and integrity protection for the exchange of messages across a single Mca, Mcc or Mcc' reference point. In addition, communicating AEs that require similar protection for their own information exchanges can be provisioned to apply the same security method to their communications.
+
+This is the purpose of the security association establishment procedure, which needs to be executed before the service related procedures specified in [ITU-T Y.4500.1] for the corresponding reference point.
+
+On the Mca and Mcc reference points, security association establishment between a field domain AE or CSE respectively, and an IN-CSE is mandatory.
+
+On the Mcc' reference point, security association establishment between IN-CSE and IN-CSE is mandatory.
+
+On the Mca reference point, security association establishment between AE and the CSE in the field domain is strongly recommended.
+
+NOTE 1 – Security association establishment on the Mca interface in a local domain is optional depending on risk assessment, for instance in scenarios where unauthorized access can be prevented by other security measures out of scope of this specification. This includes the following use cases:
+
+AE and CSE (i.e., Mca end-points) are securely integrated on the same physical device (i.e., an ASN).
+
+Secure communication is guaranteed by the underlying network (e.g., WLAN or VPN).
+
+Mca communication takes place on a wire (e.g., Ethernet) in a safe physical environment.
+
+The security association establishment phase of the M2M service layer and M2M application layer are generally independent from similar procedures possibly required by the network layer, though they can rely on the security services provided by the network layer.
+
+The oneM2M system supports the following authentication mechanisms for security association establishment, described in more detail in clause 8.2.1 "Overview on security association establishment frameworks":
+
+**Provisioned symmetric key security association establishment framework:** A symmetric key is pre-provisioned to the security association end-points. For more details see clause 8.2.2.1.
+
+**Certificate-based security association establishment framework:** Security association end-points authenticate themselves using private signing keys and certificates containing the corresponding public verification key. For more details see clause 8.2.2.2.
+
+**M2M authentication function (MAF) security association establishment framework:** For MAF-based SAEF, the centralized key distribution server is a MAF hosted either by a third-party service provider which has a service relationship with the M2M service provider (M2M-SP), or hosted by the M2M-SP itself. The MAF authenticates a field domain entity on behalf of an IN-CSE using a symmetric key. For more details see clause 8.2.2.3.
+
+NOTE 2 – The use of GBA is intended only to be used in the enrollment phase. It derives a number of symmetric credentials that can be used for any purpose at the application layer, not necessarily for authentication. The oneM2M specifications then use these to further derive a number of symmetric credentials as input to the pre-shared key (PSK) authentication and confidentiality and integrity protection security protocols, specifically (D)TLS-PSK and PSK-based SAEF, ESPrim and ESData as described in clause 8.3.2.3.
+
+Figure 6.1.2.2.1-1 illustrates the different use cases and entities involved in the various security association establishment frameworks (SAEF) considered in this Recommendation.
+
+
+
+The diagram illustrates the entities involved in security association establishment (SAEF) across four domains: Field domain, UN-SP domain, Third-party domain or M2M-SP infrastructure domain, and M2M-SP infrastructure domain. The diagram shows two M2M entities in the Field domain and one M2M entity in the M2M-SP infrastructure domain. A MAF (M2M Authentication Function) is located in the Third-party domain or M2M-SP infrastructure domain. Arrows indicate the flow of MAF-based SAEF and Provisioned symmetric key and certificate-based SAEF between the entities and the MAF.
+
+Diagram illustrating the entities involved in security association establishment (SAEF) across four domains: Field domain, UN-SP domain, Third-party domain or M2M-SP infrastructure domain, and M2M-SP infrastructure domain. The diagram shows two M2M entities in the Field domain and one M2M entity in the M2M-SP infrastructure domain. A MAF (M2M Authentication Function) is located in the Third-party domain or M2M-SP infrastructure domain. Arrows indicate the flow of MAF-based SAEF and Provisioned symmetric key and certificate-based SAEF between the entities and the MAF.
+
+**Figure 6.1.2.2.1-1 – Entities involved in security association establishment**
+
+##### 6.1.2.2.2 Authorization to access M2M resources
+
+Once an AE or CSE has been granted access to M2M services, the access control decision procedure specified in clause 7.1.5 of this Recommendation is executed before accessing an M2M resource, as specified in [ITU-T Y.4500.1].
+
+## 6.2 Security functions layer
+
+### 6.2.1 Access management
+
+This component provides authentication services to the application layer. Annex B provides a general description of authentication mechanisms. oneM2M mutual authentication schemes allow oneM2M
+
+entities to prove that they know related credentials such as master credentials, without having to exchange value of those credentials, and sensitive data such as security identities and security identifiers. To prevent reading and copying of credentials, a secure environment within the security CSF provides protection against tampering of those credentials and related processed information.
+
+#### **6.2.1.1 Considerations for long term key storage**
+
+Long term provisioned secure connection keys can pose a security risk if not adequately secured, and for this reason long term provisioned secure connection keys are recommended to be stored in secure environments.
+
+Long term pre-provisioned symmetric enrollee keys can pose a security risk if not adequately secured, and for this reason it is recommended that long term pre-provisioned symmetric enrollee keys are stored in secure environments.
+
+Since by definition, there will be a very wide range of non-3GPP based devices with many different implementations. As these are not likely to be standardised, this is not in the scope of oneM2M or 3GPP. However, security best practice guides are available in [b-ETSI TS 103 645], [b-IoTSF SD-BP], and [b-GSMA IoT-SGA].
+
+### **6.2.2 Authorization**
+
+Figure 6.2.2-1 provides a high level overview of a generic authorization function. This architecture comprises four subcomponents that are described as follows:
+
+Policy enforcement point (PEP):
+
+PEP intercepts resource access requests, makes access control decision requests, and enforces access control decisions. The PEP coexists with the entity that needs authorization services.
+
+Policy decision point (PDP):
+
+PDP interacts with the policy retrieval point (PRP) and policy information point (PIP) to get applicable authorization policies and attributes needed for evaluating authorization policies respectively, and then evaluates the access request using authorization policies for rendering an access control decision. The PDP is located in the authorization service.
+
+Policy retrieval point (PRP):
+
+PRP obtains applicable authorization policies according to an access control decision request. These applicable policies should be combined in order to get a final access control decision. The PRP is located in the authorization service.
+
+Policy information point (PIP):
+
+PIP provides attributes that are needed for evaluating authorization policies, for example the IP address of the requester, creation time of the resource, current time or location information of the requester. The PIP is located in the authorization service.
+
+The authorization service can comprise any of the subcomponents: PDP, PRP and/or PIP. This means that the subcomponents PEP, PRP, PDP and PIP could be distributed across different nodes. For example, the PEP is located in an ASN/MN and the PDP is located in the IN.
+
+The present release does not support separation of PRP and PIP on different CSE from PDP. The generic procedure described below is provided for information and to support further extensions, while clause 7 provides the details of authorization mechanisms in the current release.
+
+
+
+Figure 6.2.2-1: Overview of the authorization function. This block diagram shows the interaction between an Access requester, Policy enforcement point (PEP), Policy decision point (PDP), Policy retrieval point (PRP), and Policy information point (PIP). The Access requester sends an 'Access request' to the PEP, which then grants 'Access' to the Resource. The PEP sends a 'Decision request' to the PDP and receives a 'Decision response' back. The PDP sends a 'Policy request' to the PRP and receives a 'Policy response' back. The PDP sends an 'Attribute request' to the PIP and receives an 'Attribute response' back. The diagram is labeled Y.4500.3(23) at the bottom right.
+
+**Figure 6.2.2-1 – Overview of the authorization function**
+
+The generic authorization procedure is shown in Figure 6.2.2-2.
+
+
+
+Figure 6.2.2-2: Authorization procedure. This sequence diagram shows the steps between a Requester and a Hosting entity (which contains PEP, PDP, PRP, and PIP). Step 1: Mutual authentication between Requester and Hosting entity. Step 2: Access request from Requester to PEP. Step 3: Decision request from PEP to PDP. Step 4: Policy request from PDP to PRP. Step 5: Policy response from PRP to PDP. Step 6: Attribute request from PDP to PIP. Step 7: Attribute response from PIP to PDP. Step 8: Making access control decision (local to PDP). Step 9: Decision response from PDP to PEP. Step 10: Enforcing access control decision (local to PEP). Step 11: Access response from PEP to Requester. The diagram is labeled Y.4500.3(23) at the bottom right.
+
+**Figure 6.2.2-2 – Authorization procedure**
+
+Step 001: Mutual authentication (Pre-requisite).
+
+Step 002: Access requester sends an access request to the PEP.
+
+Step 003: PEP makes an access control decision request according to the requester's access request, and sends the access control decision request to the PDP.
+
+Step 004: PDP sends an access control policy request that is generated based on the access control decision request to the PRP.
+
+Step 005: PRP finds all applicable access control policies to the access request and sends them back to the PDP. When multiple access control policies are involved, the PRP also provides a policy combination algorithm for combining multiple evaluation results into one final result.
+
+Step 006: PDP sends an attribute request to the PIP if any attributes are required for evaluating these access control policies.
+
+Step 007: PIP gets required attributes and sends them back to the PDP.
+
+Step 008: PDP evaluates the access request using access control policies. When there are multiple applicable access control policies, the PEP needs to calculate a final access control decision using the policy combination algorithm.
+
+Step 009: PDP returns the access control decision back to the PEP.
+
+Step 010: PEP enforces the access control decision, i.e., either forwards the access request to the resource or denies this access.
+
+Step 011: PEP returns the access result back to the access requester.
+
+### **6.2.3 Security administration**
+
+#### **6.2.3.0 Introduction**
+
+The security administration service provides the capability to manage the security functions, resources and attributes. This includes management of resources provided via the secure environment. In addition, it can provide functions to manage sensitive data with their associated identifiers and subscriptions on behalf of other entities. Security administration is therefore dependent upon the type of secure environment being used (independent hardware module, integrated trusted execution environment or software protection). Depending on the type of secure environment, distinct existing standards can be used for remote administration of those SEs.
+
+#### **6.2.3.1 Security pre-provisioning of SE**
+
+Several sensitive data and associated objects are often configured by pre-provisioning of a secure environment (see clause 6.3.1 "Secure environment") prior to deploying the M2M device it is associated with.
+
+UICCs specified in [ETSI TS 102 671] and [ETSI TS 102 221] are commonly used for such purpose because their use is required to access some underlying networks, they provide a high security level, and they offer an interoperable transport interface specified in [ETSI TS 102 221]. UICC-based oneM2M pre-provisioning shall follow the framework specified in Annex D to ensure interoperability.
+
+#### **6.2.3.2 Remote security administration of SE**
+
+Security sensitive data and functions that are protected and isolated within the SE may remain remotely accessible to legitimate security administrators after deployment. Remote security administration differs from standard device management by the expectation that a secure channel is intended to be established between the administration server and the secure environment of the M2M node (i.e., the secret used to secure the connection is not available in the M2M node outside of the secure environment). Applicable remote security administration protocols are dependent on the risk level of each M2M application and not just on the underlying network technologies. Widespread technologies that enable remote security administration for the different security levels distinguished in oneM2M TR-0008 [b-oneM2M TR0008] are considered in Annex C.
+
+Since remote security administration requires the target sensitive information to be remotely modifiable, protection of such sensitive information from remote software hacking of the device is particularly critical. In case the secure environment relies on software protection only, remote security administration of the following data should be allowed only where remote access by potential attackers can be mitigated:
+
+Private key and associated identifiers.
+
+Long-term shared symmetric key (compared to expected lifetime of the M2M node) and associated identifiers.
+
+Any process and parameters thereof that manipulates the above information, i.e., security functions.
+
+### **6.2.4 Identity protection**
+
+Identity protection provides services to the application layer such as pseudonyms and protecting the anonymity of transactions.
+
+### **6.2.5 Sensitive data handling**
+
+#### **6.2.5.0 Introduction**
+
+The sensitive data handling service provides certain sensitive functions to the application layer.
+
+Sensitive functions comprise the following functions:
+
+Secure storage.
+
+Cryptographic operations.
+
+Methods for bootstrapping initial secrets (e.g., GBA).
+
+#### **6.2.5.1 Sensitive functions**
+
+This service provides AEs and CSEs with access to sensitive functions of the SE.
+
+#### **6.2.5.2 Secure storage**
+
+This service provides AEs and CSEs with access to the secure storage capability of the SE. Data securely stored by the AE or CSE is intended to be accessible only through the security API and by authorized entities. Secure storage should be managed by the secure environment. Securely stored data is intended to remain under the control of the stakeholder owning the data, i.e., the entity that requested the data to be stored within the secure storage, independently of other stakeholders.
+
+### **6.2.6 Trust enabling security functions**
+
+oneM2M trust enabling architecture may require the presence of security functionalities within the infrastructure domain: an M2M authentication function (MAF) and an M2M enrolment function (MEF), both classified as trust enabling functions (TEF) and serving authentication and end-to-end security purposes, as well as dynamic authorization system (DAS) server or role authorities serving authorization purposes. The M2M authentication function and the M2M enrolment functions shall incorporate the ability to provide for end-to-end credential registration and provisioning. In addition, a privacy policy manager functionality (PPM) may be implemented to protect user's privacy. All of these functions can be either under M2M service provider control or delegated to a M2M trust Enabler (i.e., a party trusted by all involved M2M ecosystem stakeholders).
+
+M2M enrolment function (MEF):
+
+The MEF is used during the enrolment phase and supports the security bootstrap procedure enabling the provisioning of the master credentials to be used to mutually authenticate entities accessing the infrastructure of an M2M service provider. The MEF relies on an initial credential pre-provisioned in the M2M node (e.g., during manufacturing).
+
+The credentials provisioned by an MEF can be used for authentication with an M2M authentication function in the MAF-based security association establishment framework (SAEF), end-to-end security of primitives (ESPrim) or end-to-end security of data (ESData). Alternatively, the provisioned credentials may be used directly in the SAEF, ESPrim or ESData.
+
+M2M authentication function (MAF), used during the operational phase of M2M services:
+
+Master credentials, used to mutually authenticate CSEs/AEs during the operation phase, are securely stored in a specific infrastructure functionality named M2M authentication function (MAF).
+
+The MAF securely contains the set of master credentials that are used for authenticating CSEs/AEs that have been enrolled through the M2M SP or M2M trust enabler. The MAF stores the master credentials and possibly the identifiers of the associated CSE/AE.
+
+A single MAF may support all communication security services (SAEF, ESPrim and ESData) or only a selection of them. An MAF providing MAF-based SAEF is operated by the M2M SP, or by an M2M trust enabler on behalf of the M2M SP. Other MAF can be operated by M2M trust enabler or M2M SP, and there is no assumption of a trust relationship existing between the M2M trust enabler and M2M SP in those cases.
+
+The MAF is also in charge of all security operations involving the usage of the master credentials.
+
+Dynamic authorization system (DAS) server and role authorities: These functionalities manage authorization privileges to access resources that may be assigned during operation and are described in clauses 7.3 and 7.4, respectively.
+
+Privacy policy manager (PPM): This functionality assists in the management of privacy preferences expressed by data subject with respect to service requirements and applicable regulations, and is described in clause 11.
+
+## 6.3 Secure environment and secure environment abstraction
+
+### 6.3.1 Secure environment
+
+The secure environment is a logical entity that provides sensitive functions operating on sensitive data, secure storage and other resources/functions.
+
+The security sensitive data and security functions contained in M2M field domain nodes are intended to be protected from unauthorized access or alteration, as determined by risk analysis. Sensitive data and functions include security credentials and algorithms that manipulate them. The purpose of a secure environment is to provide the required protection level (see Table 6.3.1-1) to sensitive data during storage and usage, including primarily any long term symmetric or asymmetric cryptographic secret used during operation. Additionally, isolation of security sensitive data and functions controlled by different stakeholders within an M2M node can be ensured by distinct secure environments. This is especially critical for M2M nodes that can be remotely or physically accessed by potential attackers.
+
+The choice of a secure environment is guided by a risk analysis considering all layers of an M2M application, though it should leverage where possible on capabilities provided by the M2M service layer or the underlying network, e.g., universal integrated circuit card (UICC) in 3GPP and 3GPP2 networks, or trusted execution environment requirements.
+
+There is no assumption made on the particular implementation of the secure environment. A SE may be implemented as an independent HW security element or as an integrated SW function. Each secure environment can be associated with one certain security level depending on the particular implementation of the SE. Different secure environments provide different security levels and protection levels as indicated in Table 6.3.1-1.
+
+**Table 6.3.1-1 – Classification of protection levels**
+
+| Protection level | Description |
+|------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| 0 | No protection. The data are exposed even without active attacks. |
+| 1 | Low protection, data are protected from passive observers but could be exposed by active attacks, be they local or remote.
E.g., software solutions exist that rely on general purpose processing hardware of the supporting equipment. |
+| 2 | Medium protection, protection of the data from remote attacks is addressed, but local attacks, especially physical attacks, remain possible, i.e., Medium protection provides countermeasures against software attacks only |
+
+**Table 6.3.1-1 – Classification of protection levels**
+
+| Protection level | Description |
+|------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | E.g., Software solutions to protect data and sensitive functions rely on specific processing providing enforced isolation and enables sensitive code and data to be kept away from an unprotected operating environment, software and memory. The code running in the protected environment is cryptographically verified for integrity assurance. |
+| 3 | High protection, addressing both remote and local attacks to access the data, including attacks involving physical access. This includes strong counter measures against software and hardware attacks, such as detection of abnormal operating conditions and scrambling plus hardware masking of the memory and side channel analysis of operations involving sensitive data. |
+
+There is intended to be at least one secure environment in each M2M node providing secure storage to the local CSEs and AEs, however there could be multiple.
+
+### **6.3.2 SE plug-in**
+
+The SE plug-in enables physical access to the respective secure environment. Depending on the type of secure environment, the SE plug-in can be implemented differently for each secure environment.
+
+NOTE – Specification of the SE plug-in is out of scope of this Recommendation.
+
+### **6.3.3 Secure environment abstraction**
+
+This is not specified in this Recommendation.
+
+# **7 Authorization**
+
+## **7.1 Access control mechanism**
+
+### **7.1.1 General description**
+
+The M2M authorization procedure controls access to resources and services hosted by CSEs and AEs. The authorization procedure requires that the Originator of the resource access request message has been identified to the authentication function, and Originator and Receiver are mutually authenticated with each other.
+
+The resource addressed in a request message has an associated *accessControlPolicyIDs* attribute (either included explicitly as an attribute of the resource addressed in the request message, implied from the parent of the resource, or set fixed by the system, see clause 9.6.1 of [ITU-T Y.4500.1]). The *accessControlPolicyIDs* attribute contains a list of identifiers of ** resources applicable to the resource addressed in the request message.
+
+The overall structure of ** resources is described in clause 9.6.2 "Resource type *accessControlPolicy*" of [ITU-T Y.4500.1]).
+
+Each of these ** resources include *privileges* and *selfPrivileges* attributes, which comprise the information, denoted as *access control rules* in this Recommendation, that is evaluated against the parameters associated with the request message to obtain the access decision.
+
+Figure 7.1.1-1 illustrates the relation between ** resource instances (ACP) and the instances of the protected resources, denoted Resource\_1 to Resource\_N.
+
+
+
+Diagram showing the relation between resource instances and access control policies (ACP). Resource\_1 is linked to ACP\_1 and ACP\_2. Resource\_2 is linked to ACP\_2. Resource\_3 is linked to ACP\_2 and ACP\_3. Resource\_N is linked to ACP\_3 and ACP\_4. A callout for Resource\_1 points to a dashed circle containing ACP\_1 and ACP\_2, with text: 'List of IDs in accessControlPolicyIDs attribute of Resource\_1'. A bracket on the right groups ACP\_1 and ACP\_2 with the text: 'Example: ACP set = (ACP\_1, ACP\_2) assigned to Resource\_1'. Below this, text states: 'Each ACP includes one privileges and one selfPrivileges attribute.' and 'privileges and selfPrivileges attributes include a set of access control rules (defined in clause 7.3)'. At the bottom right is the reference 'Y.4500.3(23)'.
+
+**Figure 7.1.1-1 – Relation between resource instances and access control policies**
+
+Access requests to ACP's itself are evaluated against the *selfPrivileges* attribute of that ACP. Access requests to instances of all other resource types, are evaluated against the *privileges* attributes of the ACP set associated with the targeted resource.
+
+For requests to ** resource type, authorization is granted if the request is evaluated to "Permit" for at least one *selfPrivileges* attribute. For other resource types, authorization is granted if the request is evaluated to "Permit" for at least one *privileges* attribute.
+
+The *privileges* and *selfPrivileges* defined in the *accessControlPolicy* resource determine *which request Originator* is allowed to access the resource containing this attribute, for *which specific operation* (i.e., create, retrieve, update, delete, etc.) and *for which specific context constraints* (i.e., constraints regarding access time, Originator's IP address and Originator's location).
+
+The access control approach specified here conforms to the concept of attribute based access control (ABAC) as defined in [b-NIST 800-162].
+
+The policies defined in the ** resources are enforced by an access control mechanism which employs the authorization logical architecture outlined in clause 6.2.2.
+
+The access control mechanism assembles the information needed to render the access decision which consists of:
+
+- Information included in the resource access request message as defined in clause 7.1.2 (Table 7.1.2-1).
+- Contextual information as defined in clause 7.1.2 (Table 7.1.2-2).
+- Tokens (if any) associated with the resource access request.
+- The policies governing the access as defined in clause 7.1.3.
+
+### 7.1.2 Parameters of the request message
+
+This clause specifies the parameters of a request message which are evaluated by the access control mechanism.
+
+The data types applicable to these parameters are defined in clause 6.4 of [ITU-T Y.4500.4].
+
+The parameters are listed in Table 7.1.2-1.
+
+**Table 7.1.2-1 – Parameters indicated in the request message**
+
+| Parameter | Description | Mandatory/
Optional | Usage in access control mechanism |
+|------------------------|-------------------------------------------------------|------------------------|---------------------------------------------------------------------------------------------------------------------|
+| To | URI of target resource | M | Selection of accessControlPolicy associated with the target resource |
+| From | Identifier representing the Originator of the request | M (Note 1) | Evaluated against accessControlOriginators in privileges and selfPrivileges attributes |
+| Role IDs | Role IDs of the Originator | O | Evaluated against accessControlOriginators in privileges and selfPrivileges attributes |
+| Operation | Requested operation | M | Evaluated against accessControlOperations in privileges and selfPrivileges attributes |
+| Resource type | Type of the target resource | O (Note 2) | Evaluated against accessControlObjectDetails in privileges attributes. Applicable to Create operations only. |
+| Filter criteria | filterUsage condition tag in Filter criteria | O | Differentiation between Retrieve and Discovery operations |
+| Tokens | ESData-protected Tokens | O | Contains authorization information (e.g., Role-IDs) to be used in the decision for the request |
+| Token IDs | tokenIDs or Local-Token-ID | O | Identifies Tokens containing authorization information (e.g., Role-IDs) to be used in the decision for the request |
+
+NOTE 1 – The **From** primitive parameter is Mandatory in all requests except for AE registration procedure where it is optional, as specified in [ITU-T Y. 4500.1].
+
+NOTE 2 – The **resource Type** primitive parameter is present in Create request primitives only.
+
+Table 7.1.2-2 lists the context parameters associated with a request message which are evaluated by the access control mechanism. These parameters are not explicitly included in a request message but can be obtained at the receiver and validated against the context policy parameters as given in Table 7.1.2-2.
+
+**Table 7.1.2-2 – Context parameters associated with a request message**
+
+| Parameter | Description | Usage in access control mechanism |
+|-----------------------|-------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------|
+| rq_time | Time stamp when the request message was received at the hosting CSE. Obtained by the hosting CSE's system time clock. | Validated against accessControlTimeWindow parameter in an access control rule, see clause 7.1.3 |
+| rq_loc | Location information about the originator of the request. Obtained over the Mcn reference point. | Validated against accessControlLocationRegion parameter in an access control rule, see clause 7.1.3 |
+| rq_ip | IP source address associated with the IP packets that carry the request message. Obtained over the Mcn reference point. | Validated against accessControlIpAddress parameter in an access control rule, see clause 7.1.3 |
+
+Tokens, as defined in clause 7.3.3.1 "Token structure", may be associated with a request message. A token may be associated with a request as a result of being included in the **Tokens** primitive parameter of the request message or identified in the **Token IDs** primitive parameter of the request message. If
+
+the Hosting CSE obtained a token from the dynamic authorization system (DAS) server using direct dynamic authorization, then this token shall be associated with a request if the holder parameter in the token matches the absolute AE-ID or CSE-ID of the Originator of the request. Dynamic authorization is specified in clause 7.3.
+
+Table 7.1.2-3 lists the security context parameters associated with a request message.
+
+**Table 7.1.2-3 – Security context parameters associated with a request message**
+
+| Parameter | Description | Mandatory/Optional | Usage in access control mechanism |
+|-----------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------|---------------------------------------------------------------------------------------------------------|
+| rq_authn | Boolean value (TRUE/FALSE) indicating if the Originator is considered to have been authenticated by the Hosting CSE, and the From parameter matched the authenticated identity of the Originator. | M | Validated against accessControlAuthenticationFlag parameter in an access control rule, see clause 7.1.3 |
+
+The following criteria shall be applied to determine if an Originator is considered to have been authenticated by the Hosting CSE.
+
+If the Originator is an AE registered to the Hosting CSE, then the criteria for deciding whether the Originator is considered authenticated is deployment and/or implementation specific and depends on the trust guaranteed by the field device's physical and logical embodiment bearing the AE(s) and Hosting CSE (e.g., secure boot and tamper resistance). In many cases it is appropriate to expect a secure channel implying authentication (e.g., a TLS or DTLS session) to be used to protect primitives on the Mca interface, in which case the authentication shall be considered valid for the duration of the TLS session. When this is not the case, e.g., because the physical and logical design is trusted, authentication may be considered to be permanently valid unless it is detected that the device is compromised.
+
+If the Originator is a CSE registered with the Hosting CSE, then the Originator shall be considered authenticated for the duration of a (D)TLS session because the Mcc is always required to be protected by TLS or DTLS according to a security association establishment framework (SAEF) as described in clause 8.2. The other CSE may be the Registrar or Registree with respect to the Hosting CSE.
+
+If the Originator is an AE or CSE registered with a CSE other than the Hosting CSE, then the Originator is considered authenticated by the Hosting CSE if and only if the request primitive is protected using end-to-end security of primitives (ESPrim) as described in clause 8.4.
+
+### 7.1.3 Format of *privileges* and *selfPrivileges* attributes
+
+The *privileges* and *selfPrivileges* attributes exhibit the same data type format which is specified as follows.
+
+Each *privileges* or *selfPrivileges* attribute comprises a set of access control rules. In the following, the set of access control rules is denoted as *acrs* and an individual access control rule in this set as *acr*. The access control rules in *acrs* are indexed with the letter *k*. The number of access control rules in the set is denoted with the letter *K*:
+
+$$acrs = \{ acr(1), acr(2), \dots, acr(k), \dots, acr(K) \}$$
+
+Each access control rule *acr(k)* is comprised of three type of components, denoted accessControlOriginators, accessControlOperations and accessControlContexts. The accessControlContext component is an optional parameter.
+
+Hence, an access control rule $acr(k)$ is either represented as a pair:
+
+$$acr(k) = \{acr(k)\_accessControlOriginators, acr(k)\_accessControlOperations\}$$
+
+or as a 3-tuple:
+
+$$acr(k) = \{acr(k)\_accessControlOriginators, acr(k)\_accessControlOperations, acr(k)\_accessControlContexts\}$$
+
+The generic term "access-control-rule-tuple" is used when referring to a rule $acr(k)$ .
+
+A set $acrs$ of access control rules may consist of a mix of pairs and 3-tuples. For pairs, any context parameters associated with a request message are admissible.
+
+The three component parameters of an access-control-rule-tuple supported in this Recommendation are shown in Table 7.1.3-1.
+
+**Table 7.1.3-1 – Parameters of an access-control-rule-tuple**
+
+| Parameter | Usage description | Mandatory/Optional | Format |
+|----------------------------------|--------------------------------------------------------------------------------------------------------------------|--------------------|------------------------------------------------------------------------------------|
+| accessControlOriginators | Set of Originators that can be authorized | M | List of CSE-IDs and/or AE-IDs, or keyword "all" to grant access to all Originators |
+| accessControlOperations | Set of Operations that can be authorized | M | Enumerated list of operations Create, Retrieve, Update, Delete, Discover, Notify |
+| accessControlContexts | See Table 7.1.3-3 | O | See Table 7.1.3-3 |
+| accessControlObjectDetails | See Table 7.1.3-4 | O | See Table 7.1.3-4 |
+| accessControlAuthentication Flag | Indicates whether the rule applies only to Originators which are considered to be authenticated by the Hosting CSE | O | Boolean |
+
+The accessControlOriginators parameter comprises a list of SP domain names, CSE-IDs, AE-IDs, resource-IDs of resources and/or role IDs of any format defined in [ITU-T Y.4500.1]. If access for all Originators is to be allowed, the reserved keyword "all" may be included into the value space of accessControlOriginators.
+
+Using a SP domain name in accessControlOriginators means all AE-IDs and CSE-IDs matching the given domain name can be authorized.
+
+It is furthermore allowed to use wildcard character "\*", in representations of CSE-ID and AE-ID. The scope of a "\*" is terminated by a following "/" character. Table 7.1.3-2 shows examples of using wildcard characters in CSE-IDs and AE-IDs.
+
+Wildcard characters are not applicable to SP domain names, resource-IDs of resources and role IDs.
+
+**Table 7.1.3-2 – Examples of using wildcard characters in CSE-IDs and AE-IDs of accessControlOriginators**
+
+| | Form of ID | Examples | Meaning |
+|--------|-------------|------------------------------------------------------------|------------------------------------------------------------------|
+| CSE-ID | Absolute | //m2msp.org/myCSEID
//*/myCSEID
//*/myCSE* | Any CSE whose ID matches the wild cards |
+| | SP-relative | /myCSEID
/myCSE* | Any matching CSE from the SP that is hosting the target resource |
+| AE-ID | Absolute | //m2msp.org/S988
//*/myCSEID/C9886
//*/myCSE*/C9886 | Any AE whose ID matches the wild cards |
+| | SP-relative | /myCSEID/C9886
/myCSEID/C98*
/myCSE*/C98*
/SmyAE* | Any matching AE from the SP that is hosting the target resource |
+
+The data type applicable to accessControlOriginators is defined in [ITU-T Y.4500.4].
+
+The accessControlOperations parameter comprises a list of admissible operations which can be any subset of the following elements: create, retrieve, update, delete, discover, and notify. While create, retrieve, update, delete, and notify operations are explicitly indicated in the *op* parameter of a request message, the discovery operation is indicated by *op* = Retrieve in combination with the provisioning of *fc* and *Disrestype* parameters in the request message.
+
+The data type applicable to accessControlOperations is defined in [ITU-T Y.4500.4].
+
+The accessControlContexts parameters are listed in Table 7.1.3-3.
+
+**Table 7.1.3-3 – Parameters of accessControlContexts**
+
+| Parameter | Usage Description | Mandatory/Optional | Formats |
+|-----------------------------|-------------------------------------------------------|--------------------|-----------------------------------------------------------------------------------------------------------------------|
+| accessControlTimeWindow | Set of Time Windows that can be authorized | O | List of time intervals where access can be granted in extended crontab format |
+| accessControlLocationRegion | Set of Location Regions that can be authorized | O | 1) Latitude/longitude coordinates, and a radius defining a circular region around the coordinates
2) Country code |
+| accessControlIpAddress | Set of IPv4 and IPv6 addresses that can be authorized | O | IPv4: dotted-decimal notation with CIDR suffix
IPv6: colon separated groups of hexadecimal digits with CIDR suffix |
+
+The accessControlTimeWindow parameter represents a list of elements that comply with the extended crontab syntax as defined in clause 7.3.8 of [ITU-T Y.4500.4]. It allows definition of periodically recurring time intervals at which access can be granted, when the *rq\_time* parameter associated with the access request message falls into such interval.
+
+For the elements of accessControlLocationRegion there are two representation choices. These can be represented by a 2-letter country code or a circle with radius *R* centred at a point defined in terms of longitude and latitude parameters. Refer to Annex F for detailed information. Each element of
+
+`accessControlLocationRegion` defines an admissible location region, which is compared with the *`rq_loc`* parameter associated with the access request message.
+
+The data types applicable to `accessControlLocationRegion` and *`rq_loc`* are defined in [ITU-T Y.4500.4].
+
+The `accessControlIpAddress` parameter represents a list of IPv4 and IPv6 addresses in dotted-decimal notation with CIDR suffix or colon separated groups of hexadecimal digits with CIDR suffix, respectively. If the *`rq_loc`* parameter associated with the access request message matches one of these addresses, access may be granted with regard to this criterion.
+
+The data types applicable to `accessControlIpAddress` and *`rq_ip`* are defined in [ITU-T Y.4500.4].
+
+The `accessControlAuthenticationFlag` parameter is a Boolean value. If the `accessControlAuthenticationFlag` parameter is not present, then the value is assumed to be FALSE. If the `accessControlAuthenticationFlag` parameter is TRUE, then this indicates that the access control rule applies only to Originators considered to have been authenticated by the Hosting CSE. Clause 7.1.2 specifies the criteria used to decide whether or not the Originator is considered to have been authenticated by the Hosting CSE.
+
+The `accessControlObjectDetails` parameters are listed in Table 7.1.3-4.
+
+**Table 7.1.3-4 – Parameters of `accessControlObjectDetails`**
+
+| Parameter | Usage description | Mandatory/Optional | Formats |
+|--------------------------------|---------------------------------------------------------------------------------|--------------------|-------------------------------------------------------------------------------------------|
+| resourceType | Resource type on which access control rule applies | O | Resource type identifier |
+| specializationID | Identifier of mgmtDefinition or containerDefinition | O | SmgmtDefinition or containerDefinition represented as a string. |
+| childResourceType | Set of resource type identifiers that can be created under the parent resource. | O | Resource type list. |
+
+The `accessControlObjectDetails` attribute specifies a subset of child resource types of the targeted resource to which the access control rule applies. If an access control rule includes *`accessControlObjectDetails`*, then *`childResourceType`* is specified. An access control rule which does not include any *`accessControlObjectDetails`* parameters applies to all child resource types of the target resource. The *`accessControlObjectDetails`* parameter is described in Table 9.6.2.4-1 of [ITU-T Y.4500.1]. Child resource types listed in the *`childResourceType`* component are subject of access control for the Create operation only. Once a child resource is created, the access control policies assigned directly to it apply. The *`resourceType`* and *`specializationID`* elements are optional. If either the *`resourceType`* or *`specializationID`* element is present in *`accessControlObjectDetails`*, the CSE matches the type of resource or specialization of the targeted resource with the value specified in the *`resourceType`* or *`specializationID`* element. Further checking of *`childResourceType`* is done only if the *`resourceType`* or *`specializationID`* match occurs. However, if the *`resourceType`* and *`specializationID`* elements are not provided, then only *`childResourceType`* match is performed.
+
+### 7.1.4 Access control decision
+
+The access decision is derived by comparing the parameters associated with a resource access request message as described in clause 7.1.2 with the access control rules included in the *`privileges`* or *`selfPrivileges`* attributes of all ACP sets assigned to the protected resource by means of the *`accessControlPolicyIDs`*, see Figure 7.1.1-1.
+
+The result of the access decision algorithm, i.e., the access decision, is the overall result of evaluating the applicable set of access control rules, *acrs*, against the parameters associated with the access request message. This access decision can be represented by a value of binary data type. The overall result of the access decision algorithm is denoted here with the variable name *res\_acrs*:
+
+$$res\_acrs = \begin{cases} \text{TRUE or 1} & \text{if the request matches the access control rules} \\ \text{FALSE or 0} & \text{else} \end{cases}$$
+
+The reference access decision algorithm is specified in clause 7.1.5. For any given sets of inputs, an implementation of the access decision processing shall return the same result as the reference access decision algorithm would return for those inputs.
+
+If the access decision algorithm yields the result *res\_acrs* = TRUE, then the access decision for the requested resource shall be "Permit".
+
+If the access decision algorithm yields the result *res\_acrs* = FALSE, or the access decision algorithm is not capable of deriving a final result (e.g., due to indeterminate parameters), then the access decision for the requested resource shall be "Deny".
+
+### 7.1.5 Description of the access decision algorithm
+
+The reference access decision algorithm specified in this clause combines partial access control results obtained for each of the individual access control rules contained in a *privileges* or *selfPrivileges* attribute. Further, if multiple ACP instances are assigned to the protected resource, the reference access decision algorithm combines the partial access control results obtained for the individual ACPs of an ACP set.
+
+The algorithm specified in this clause adopts a "Permit-overrides" combining algorithm with respect to access control rules and ACPs as defined in XACML [b-OASIS XACML]. This algorithm has the following behaviour:
+
+If a decision is "Permit" for only a single access control rule included in the *privileges* (or *selfPrivileges*) attribute of a single ACP, the result is "Permit".
+
+Otherwise, the result is "Deny".
+
+The logic for evaluating a request against a privilege can be described mathematically as follows. A *privileges* or *selfPrivileges* attribute included in an ** resource represents a set of access control rules, *acrs*, which is built as in Figure 7.1.5-1.
+
+
+
+$acrs = \{ acr(1), acr(2), \dots, acr(k), \dots, acr(K) \}$
+
+---
+
+$acr(k) = \{ acr(k)\_accessControlAuthenticationFlag, acr(k)\_accessControlOriginators, acr(k)\_accessControlOperations, acr(k)\_accessControlContexts, acr(k)\_accessControlObjectDetails \}$
+
+**Set of originator parameters. Examples:**
+ {CSE-ID1, AE-ID1, AE-ID2, Role-ID1}
+ {all}
+
+**Set of allowed operations. Examples:**
+ {Create, Retrieve, Update, Delete, Discover, Notify}
+ {Retrieve, Discover, Notify}
+
+**Set (list) of $M_k$ context constraints (number of elements $M_k$ can be different for each $acr(k)$ ):**
+ $\{ acr(k)\_accessControlContext(k, 1), \dots, \dots, acr(k)\_accessControlContext(k, m), \dots, \dots, acr(k)\_accessControlContext(k, M_k) \}$
+
+**Set of context constraints consisting of the 3 elements:**
+ $\{ accessControlTimeWindow(k, m), accessControlLocationRegion(k, m), accessControlIpAddress(k, m) \}$
+
+**Set of time windows defined by start and end time**
+ Example:
+ {daily 04:30 – 06:00, 11:30 – 12:30, 22:15 – 00:30}
+
+**Set of location regions defined by list of objects representing geographical regions.**
+ Example:
+ {geoRegion1, geoRegion2, geoRegion3}
+
+**Set of IP addresses or address blocks.**
+ Example (IPv4):
+ {212.75.201.105, 88.77.0.0/16, 116.27.123.0/24}
+
+**Set of child resource type Ids allowed to be created under the target resource.**
+ Examples:
+ (a) Target resource type = 3 (container)
+ Child resource type = {4} (contentInstance)
+ (b) Target resource type = 2 (AE)
+ Child resource type = {3 23} (container and subscription)
+
+Y.4500.3(23)
+
+Diagram showing the hierarchical structure of access control rules. Arrows point from detailed descriptions of each field to the corresponding field in the acr(k) set definition. The descriptions include examples for originators, operations, contexts, object details, time windows, location regions, and IP addresses.
+
+**Figure 7.1.5-1 – Logic to evaluate privileges in the reference access decision algorithm**
+
+The parameters associated with a request, which are evaluated against the parameters contained in the access control rules are specified in clause 7.1.3.
+
+The access decision $res\_acrs$ defined in clause 7.1.4 is derived by evaluating whether or not the parameters associated with the request message listed in Tables 7.1.2-1 and 7.1.2-2 match any of the access control rules contained in the access control rule set defined in clause 7.1.3 as follows:
+
+$$res\_acrs = res\_acr(1) \text{ OR } res\_acr(2) \dots \text{ OR } res\_acr(k) \dots \text{ OR } res\_acr(K),$$
+
+where $res\_acr(k)$ represents the logical evaluation result (i.e., TRUE/FALSE or 1/0) of the request parameters against the $k^{\text{th}}$ access control rule in the set $acrs$ , which can be expressed as follows:
+
+$$res\_acr(k) = res\_authn(k) \text{ AND } res\_origs(k) \text{ AND } res\_ops(k) \text{ AND } res\_ctxts(k) \text{ AND } res\_objd(k), k = 1 \dots K.$$
+
+The first partial logical result variable $res\_authn(k)$ on the right side of above equation shall be evaluated according to Table 7.1.5-1:
+
+**Table 7.1.5-1 – Evaluating $res\_authn(k)$**
+
+| $acr(k)\_accessControlAuthenticationFlag$ | $rq\_authn$ | $res\_authn$ |
+|-------------------------------------------|-------------|--------------|
+| TRUE | TRUE | TRUE |
+| TRUE | FALSE | FALSE |
+| FALSE | TRUE | TRUE |
+| FALSE | FALSE | TRUE |
+
+The remaining 4 partial logical result variables on the right side of above equation can be defined by using the following set function:
+
+$$\text{ismember}(x, \text{setX}) = \begin{cases} \text{TRUE or 1} & \text{if } x \in \text{setX} \\ \text{FALSE or 0} & \text{else} \end{cases}$$
+
+With this definition:
+
+$$\text{res\_origs}(k) = \text{ismember}(\mathbf{Originator}, \text{acr}(k)\text{\_accessControlOriginators})$$
+
+$$\text{res\_ops}(k) = \text{ismember}(\mathbf{Operation}, \text{acr}(k)\text{\_accessControlOperations})$$
+
+In the above equation, the **Originator** variable refers to the authenticated identity of the originator of the request primitive which matches the **From** parameter.
+
+The third partial logical result $\text{res\_ctxts}(k)$ is derived as follows:
+
+$$\text{res\_ctxts}(k) = \text{res\_context}(k, 1) \dots \text{OR } \text{res\_context}(k, m) \dots \text{OR } \text{res\_context}(k, M\_k),$$
+
+where:
+
+$$\text{res\_context}(k, m) = \text{res\_time}(k, m) \text{ AND } \text{res\_ip}(k, m) \text{ AND } \text{res\_loc}(k, m), \quad k = 1 \dots K, m = 1 \dots M\_k$$
+
+and
+
+$$\text{res\_time}(k, m) = \text{ismember}(\mathbf{rq\_time}, \text{acr}(k)\text{\_accessControlTimeWindow}(m))$$
+
+$$\text{res\_ip}(k, m) = \text{ismember}(\mathbf{rq\_ip}, \text{acr}(k)\text{\_accessControlIpAddress}(m))$$
+
+$$\text{res\_loc}(k, m) = \text{ismember}(\mathbf{rq\_loc}, \text{acr}(k)\text{\_accessControlLocationRegion}(m))$$
+
+The fourth partial logical result $\text{res\_objd}(k)$ applies to Create request primitives only and is derived as
+
+$$\text{res\_objd}(k) = \text{res\_objdetails}(k, 1) \dots \text{OR } \text{res\_objdetails}(k, m) \dots \text{OR } \text{res\_objdetails}(k, M\_k),$$
+
+where:
+
+$$\text{res\_objdetails}(k, m) = \text{res\_resourceType}(k, m) \text{ AND } \text{res\_specializationID}(k, m) \text{ AND } \text{res\_childResource}(k, m),$$
+
+for $m = 1 \dots M\_k$ . The three logical arguments are defined below.
+
+For each given element $\text{acr}(k)\text{\_accessControlObjectDetails}(m)$ in an access control rule determine if the optional *resourceType* parameter is present
+
+$$\text{resourceType} = \text{acr}(k)\text{\_accessControlObjectDetails}(m)/\text{resourceType}$$
+
+Depending on the presence of *resourceType*, $\text{res\_resourceType}(k, m)$ is derived as
+
+$$\text{res\_resourceType}(k, m) = \begin{cases} \text{TRUE or 1,} & \text{if not present in } \text{acr}(k)\text{\_accessControlObjectDetails}(m) \\ \text{TRUE or 1,} & \text{if present and } \text{resourceType} = \text{targetResourceTypeID} \\ \text{FALSE or 0,} & \text{if present and } \text{resourceType} \neq \text{targetResourceTypeID} \end{cases}$$
+
+where *targetResourceTypeID* is the resource type identifier associated with the resource addressed in the **To** parameter of the Create request primitive.
+
+If the value of the *resourceType* element is 13 ( specialization) or 28 ( specialization), the optional *specializationID* element shall also be included in *accessControlObjectDetails*:
+
+$$\text{specializationID} = \text{acr}(k)\text{\_accessControlObjectDetails}(m)/\text{specializationID}$$
+
+If *specializationID* is present, it shall be matched against the *mgmtDefinition* or *containerDefinition* attributes given in the **Content** parameter of the Create request primitive.
+
+$$res\_specializationID(k,m) = \begin{cases} \text{TRUE or 1,} & \text{if } specializationID \text{ not present in } acr(k)\_accessControlObjectDetails(m) \\ \text{TRUE or 1,} & specializationID = mgmtDefinition(resourceType = 13) \\ \text{TRUE or 1,} & specializationID = containerDefinition(resourceType = 28) \\ \text{FALSE or 0,} & specializationID \neq mgmtDefinition(resourceType = 13) \\ \text{FALSE or 0,} & specializationID \neq containerDefinition(resourceType = 28) \end{cases}$$
+
+The *childResourceType* element is mandatory in any given *accessControlObjectDetails* element of an access control rule. It includes a list of $j = 1 \dots J$ child resource type identifiers to which the rule applies. The $j^{\text{th}}$ list element is denoted as follows:
+
+$childResourceType(k, m, j) = acr(k)\_accessControlObjectDetails(m)/childResourceType(j), j = 1 \dots J$
+
+The logical variable *res\_childResource*(*k, m*) is derived as
+
+$$res\_childResource(k, m) = ismember(\mathbf{Resource\ Type}, childResourceType(k, m, j))$$
+
+where **Resource Type** refers to the value of the parameter of the given Create request primitive.
+
+If *resourceType* and *specializationID* are not present in *acr(k)\_accessControlObjectDetails(m)*,
+ $res\_objdetails(k, m) = res\_resourceType(k, m) \text{ AND } res\_specializationID(k, m) \text{ AND } res\_childResource(k, m) = res\_childResource(k, m)$
+
+Thanks to the "Permit-overrides" combining approach, if the access control decision for one access control rule results in $res\_acr = \text{TRUE}$ , the reference access decision algorithm can stop without evaluating any other applicable access control rules of the current ACP or any other ACPs in the ACP set, and the final access decision is "Permit".
+
+## 7.2 AE impersonation prevention
+
+### 7.2.1 Registrar verification of AE-ID
+
+Since several AEs can behave maliciously and pretend to be another AE with their ID changed, the Hosting CSE needs prevention mechanism for AE impersonation. This mechanism works at Registrar CSE since Registrar CSE is an entry point of M2M system.
+
+When the Registrar CSE receives a request, the Registrar CSE shall perform the following procedure shown in Figure 7.2.1-1:
+
+
+
+```
+
+sequenceDiagram
+ participant AE
+ participant Registrar_CSE as Registrar CSE
+ Note over AE, Registrar_CSE: 0. Security Association Establishment
+ AE->>Registrar_CSE: 1. Request
+ Registrar_CSE-->>{2. Is From parameter
+the same as requester ID
+associated in security
+association?}
+ {2. Is From parameter...}&-->AE: 3. Response ("ORIGINATOR_HAS_NOT_REGISTERED") NO
+ {2. Is From parameter...}&-->Registrar_CSE: YES
+ Registrar_CSE-->>: 4. Normal Resource Processing
+
+```
+
+Y.4500.3(23)
+
+Sequence diagram for AE impersonation checking procedure. The diagram shows interactions between an AE and a Registrar CSE. Step 0: Security Association Establishment. Step 1: Request from AE to Registrar CSE. Step 2: Decision diamond 'Is From parameter the same as requester ID associated in security association?'. If YES, Step 4: Normal Resource Processing. If NO, Step 3: Response ('ORIGINATOR\_HAS\_NOT\_REGISTERED') from Registrar CSE to AE. Reference Y.4500.3(23) is at the bottom right.
+
+Figure 7.2.1-1 – AE impersonation checking procedure
+
+0. Security association establishment may be performed. Clause 6.1.2.2.1 describes the scenarios when security association establishment between an AE and CSE is mandatory, and describes the scenarios when security association establishment between an AE and CSE is recommended. The subsequent procedures shall be performed if a security association has been established.
+
+1. The AE sends a request to Hosting CSE via its Registrar CSE as specified in [ITU-T Y.4500.1] (Hosting CSE is not represented on this figure and can either be the Registrar CSE or another CSE).
+
+2. The Registrar CSE checks if the value in the **From** parameter is the same as the ID associated in security association:
+
+3. If the values are not identical, then the Registrar CSE shall send a response with Response Status Code '4106' ("ORIGINATOR\_HAS\_NOT\_REGISTERED").
+
+4. If the values are identical, then the Registrar CSE shall perform the procedures specified in clause 8.2 of [ITU-T Y.4500.1]. Depending on the number of Transit CSEs, the Registrar CSE shall either process the request or forward it to the Hosting CSE or to another Transit CSE.
+
+NOTE – This impersonation verification procedure is not applicable for CSE. This is because when a Transit CSE forwards a request to another CSE, the **From** parameter of the request is the identifier of the Originator which is different from the identifier of the Transit CSE.
+
+### 7.2.2 Verification using end-to-end security of primitives (ESPrim)
+
+End-to-end security of primitives (ESPrim), described in clause 8.4, allows a target (a Hosting CSE or AE) to authenticate the Originator *r* of a request primitives that are handled by other CSEs. ESPrim also provides confidentiality and integrity protection of these request and response primitives. The primitives being protected are called the inner primitives. ESPrim encryption is applied to the inner primitives to form ESPrim objects. Outer primitives are used to transport the ESPrim objects between the Originator and target CSE or AE. The Originator's Registrar cannot view the encrypted inner primitive, and cannot verify that the **From** parameter of the inner primitive is correct. Instead, the target is expected to verify that the **From** parameter of the inner primitive agrees with the authenticated identity of the Originator.
+
+When the target receives an ESPrim-protected request, the target shall perform the following procedure shown in Figure 7.2.2-1.
+
+
+
+```
+
+sequenceDiagram
+ participant Originator
+ participant Target
+ Note over Originator, Target: 0. pairwiseESPrimKey Establishment
+ Originator->>Target: 1. Outer request containing ESPrim encryption of inner request
+ Note over Target: 2. ESPrim decryption
+ Target-->>Originator: 4. Outer response containing inner response indicating "ESPRIM_IMPERSONATION_ERROR"
+ Note over Target: 3. Is From parameter of inner request the same identity associated with pairwiseESPrimKey?
+ Note over Target: YES
+ Note over Target: 5. Normal Resource Processing
+ Note over Target: Y.4500.3(23)
+
+```
+
+The diagram shows a sequence of steps between an Originator and a Target. Step 0 is a mutual establishment of a pairwiseESPrimKey. Step 1 is the Originator sending an outer request with ESPrim encryption to the Target. Step 2 is the Target performing ESPrim decryption. Step 3 is a decision diamond: 'Is From parameter of inner request the same identity associated with pairwiseESPrimKey?'. If 'YES', Step 5 is 'Normal Resource Processing'. If 'NO', Step 4 is the Target sending an outer response with 'ESPRIM\_IMPERSONATION\_ERROR' back to the Originator. A reference 'Y.4500.3(23)' is noted at the bottom right.
+
+Sequence diagram illustrating the AE impersonation checking procedure between an Originator and a Target.
+
+**Figure 7.2.2-1 – AE impersonation checking procedure**
+
+0. The target and Originator have previously established a symmetric pairwiseESPrimKey. The target associates an identity with the symmetric pairwiseESPrimKey.
+
+1. The Originator composes the inner request primitive, encrypts it using ESPrim to form an ESPrim Object, and sends it to the target as described in clause 8.4.
+
+NOTE – Regardless of whether ESPrim is applied, each Mcc "hop" is always protected using an SAEF, and each Mca "hop" is optionally protected using an SAEF; see clause 6.1.2.2.1.
+
+2. The target applies the procedures in clause 8.4 to decrypt the ESPrim Object and obtain the inner request primitive.
+
+3. The target checks if the value in the **From** parameter is the same as the ID associated with the pairwiseESPrimKey:
+
+4. If the values are not identical, then the target shall send a response with Response Status Code '4116' ("ESPRIM\_IMPERSONATION\_ERROR").
+
+5. If the values are identical, then the target shall record that the Originator has been authenticated, and performs procedures specified in clause 8.2 of [ITU-T Y.4500.1].
+
+## 7.3 Dynamic authorization
+
+### 7.3.1 Purpose of the dynamic authorization
+
+The dynamic authorization provides an interoperable framework for an Originator to be dynamically issued with temporary permissions providing the Originator with access to one or more resources on one or more CSEs.
+
+Applicable use cases, requirements and proposals are discussed in oneM2M TR-0019 [b-oneM2M TR0019].
+
+This Recommendation specifies the exchanged dynamic authorization parameters and associated processing at the Originator and Hosting CSE. The transport of dynamic authorization parameters is specified in [ITU-T Y.4500.1] and [ITU-T Y.4500.4].
+
+### 7.3.2 Dynamic authorization stage 2 details
+
+#### 7.3.2.1 Dynamic authorization reference model
+
+The dynamic authorization reference model is shown in Figure 7.3.2.1-1.
+
+
+
+```
+graph TD
+ Originator["Originator (AE/CSE)"] <--> HostingCSE["Hosting CSE"]
+ subgraph DAS_Server ["DAS Server"]
+ AE["AE"]
+ end
+ HostingCSE <--> AE
+ DAS_Server -.->|Details not specified in oneM2M| Originator
+```
+
+Figure 7.3.2.1-1: Dynamic authorization reference model diagram. It shows three main components: Originator (AE/CSE), Hosting CSE, and DAS Server. The Originator and Hosting CSE are connected by a bidirectional arrow. The DAS Server contains an internal AE component. A bidirectional arrow connects the Hosting CSE and the AE inside the DAS Server. A dashed arrow points from the DAS Server to the Originator, labeled 'Details not specified in oneM2M'. The reference Y.4500.3(23) is noted at the bottom right.
+
+**Figure 7.3.2.1-1 – Dynamic authorization reference model**
+
+The dynamic authorization reference model introduces the following systems and entities:
+
+- Dynamic authorization system (DAS): A system supporting dynamic authorization on behalf of resources owners. This Recommendation does not describe the processing and exchange of messages within the dynamic authorization system. This system may reside either internally or externally within the service provider network.
+- Dynamic authorization system (DAS) server: A server configured with policies for dynamic authorization, and provided with credentials for issuing tokens. The DAS server may include an AE for interaction with the oneM2M system.
+
+The following dynamic authorization procedures are specified:
+
+**Direct dynamic authorization** is summarized in Figure 7.3.2.1-2. In this procedure, hosting CSE interacts with the DAS server to obtain dynamic authorization.
+
+
+
+```
+sequenceDiagram
+ participant Originator as Originator (AE/CSE)
+ participant HostingCSE as Hosting CSE
+ participant subgraph DAS_Server [DAS Server]
+ participant AE as AE
+ end
+ Originator->>HostingCSE: 1. Original request*
+ HostingCSE->>AE: 2. Request to DAS Server: Original request parameters, (opt) Role-IDs
+ AE-->>HostingCSE: 3. Response from DAS Server: (opt) dynamicACPInfo, (opt) Token(s)
+ HostingCSE->>HostingCSE: 4. Make access control decision
+```
+
+Figure 7.3.2.1-2: Direct dynamic authorization sequence diagram. It shows the interaction between Originator (AE/CSE), Hosting CSE, and DAS Server (containing AE). Step 1: Originator sends '1. Original request\*' to Hosting CSE. Step 2: Hosting CSE sends '2. Request to DAS Server: Original request parameters, (opt) Role-IDs' to the AE inside the DAS Server. Step 3: The AE inside the DAS Server sends '3. Response from DAS Server: (opt) dynamicACPInfo, (opt) Token(s)' back to the Hosting CSE. Step 4: The Hosting CSE performs a self-loop labeled '4. Make access control decision'. The reference Y.4500.3(23) is noted at the bottom right.
+
+\* Original request may include Tokens or Token IDs. Applicable details in other figures.
+
+**Figure 7.3.2.1-2 – Direct dynamic authorization**
+
+**Indirect dynamic authorization**, summarized in Figure 7.3.2.1-3:
+
+- Steps 1-2: The Hosting CSE may provide the Originator with *Token Request Information* in the unsuccessful response.
+
+- Steps 3: The Originator interacts with the DAS server with the intention that the DAS server issue *Tokens* authorizing the Originator, and the Originator is provided with the token or a Token-ID. The interaction is not described in this Recommendation.
+- Steps 4-7: The Originator provides the Hosting CSE with a *Token*, *Token-ID* to indicate that the token is to be considered in the access decision. In the case of a token-ID, the Hosting CSE retrieves the corresponding token via an AE of the DAS server. These are then used in the access decision. The Hosting CSE may provide the Originator with a *Local-Token-ID* that may be used to identify the token.
+
+
+
+```
+
+sequenceDiagram
+ participant O as Originator (AE/CSE)
+ participant HC as Hosting CSE
+ participant DS as DAS Server
+ participant AE as AE
+
+ O->>HC: (optional) 1. Original request,
+ HC->>O: (optional) 2. Access denied, request adding Token request Info
+ O-->>DS: 3. Obtain Token(s) or Token-ID(s) (Details not specified in oneM2M)
+ O->>HC: 4. Repeat request, adding Token(s) or Token-ID(s)
+ HC->>AE: (If Token-ID provided) 5. Request Token using Token-ID
+ HC->>HC: 6. Make access control decision
+ HC->>O: 7. Response (opt) Hosting CSE-assigned Local-Token-IDs
+
+```
+
+Y.4500.3(23)
+
+Sequence diagram for indirect dynamic authorization showing interactions between Originator (AE/CSE), Hosting CSE, and DAS Server.
+
+**Figure 7.3.2.1-3 – Indirect dynamic authorization**
+
+#### 7.3.2.2 Direct dynamic authorization
+
+This Recommendation specifies the exchanged parameters and associated processing at the hosting CSE. The transport of parameters is specified in clause 11.5.2, [ITU-T Y.4500.1].
+
+The message flow for the direct dynamic authorization is shown in Figure 7.3.2.2-1, and described in the following text.
+
+
+
+```
+
+sequenceDiagram
+ participant O as Originator
+ participant HC as Hosting CSE
+ participant DS as DAS Server
+ participant AE as AE
+
+ O->>HC: 1. Original request
+ Note over HC: 2.1. Performs access decision unable to grant access for original request
+2.2. Obtain DAS Server dynamicAuthorizationPoA and collect Role-Ids (if any).
+ HC->>AE: 2.3. Original request parameters, (opt) Role-Id(s)
+ Note over DS,AE: Steps 3.1: Dynamic Authorization can include
+issue Token(s) and/or generate dynamicACPIInfo
+ AE->>HC: 3.2. (opt) dynamicACPIInfo (opt) Token(s)
+ Note over HC: 4.1. Process (opt) dynamicACPIInfo, (opt) Token(s)
+4.2. Repeat access decision
+4.3. If access is granted, requested operation is performed
+ HC->>O: Response
+
+```
+
+Y.4500.3(23)
+
+Sequence diagram for direct dynamic authorization showing message flow between Originator, Hosting CSE, and DAS Server.
+
+**Figure 7.3.2.2-1 – Message flow for direct dynamic authorization**
+
+1. The Originator sends request (called the request from the Originator for this message flow) to the Hosting CSE. This request may include *Tokens* or *Token-IDs*; see the clause 7.3.2.3 "Indirect Dynamic Authorization".
+
+2. Initial Hosting CSE processing:
+
+2.1 If the request from the Originator includes *Tokens* or *Token-IDs* then these are processed as described in clause 7.3.2.3 "Indirect dynamic authorization". The Hosting CSE evaluates the access decision algorithm, but is unable to grant access for the request from the Originator based on configured access control policies.
+
+2.2 The Hosting HCSE determines the set of DAS server with which direct dynamic authorization may be performed:
+
+2.2.1 The HCSE examines all *accessControlRules* for which request satisfies the *accessControlOperations* and *accessControlContexts* in the ** resources linked to the requested resource. The HCSE collects the set of all *Role-IDs* in the *accessControlOperators* of these *accessControlRules*. This *Role-IDs* are grouped according to the DAS Server AE-ID identified by the *Role-ID*.
+
+NOTE 1 – Regarding the Role-ID(s) parameter: The Originator would be granted access if a token(s) is issued which associates the Originator with one or more of the Role-ID(s). Providing this list to the DAS server allows the DAS server to select a suitable set of one or more Role-ID(s) to associate with the Originator in token(s), thereby authorizing the Originator to access the requested resources. The policies configured to the DAS server would dictate which Role-ID(s) (if any) are included in token(s) issued to the Originator.
+
+2.2.2 The HCSE shall also collect the set of ** resources linked to the requested resource, and group these according to the DAS Server's *dynamicAuthorizationPoA* attribute of the ** resource.
+
+2.3 The Hosting CSE selects a DAS server (from the set determined in step 2.2) and sends a oneM2M request message containing the information described in Table 7.3.2.2-1. The transport of parameters is specified in step 2.3, clause 11.5.2, [ITU-T Y.4500.1].
+
+**Table 7.3.2.2-1 – Information sent from Hosting CSE to DAS Server
+during the Direct Dynamic Authorization**
+
+| Parameter | Description | Mandatory/Optional |
+|-------------------------------------|----------------------------------------------------------------------------|--------------------|
+| Originator | Identifier of the Originator of the request received by the Receiver | M |
+| Originator Resource Type | Type of resource targeted by originated request received by Receiver | M |
+| Operation | Type of operation specified in originated request received by the Receiver | M |
+| Originator IP Address | IP address of Originator of request received by Receiver | O |
+| Originator Location | Location of Originator of request received by Receiver | O |
+| Originator Role IDs | Role IDs of Originator of request received by Receiver | O |
+| Request Timestamp | Timestamp when originated request was received by Receiver | O |
+| targeted Resource ID | Resource ID targeted by originated request received by Receiver | O |
+| Proposed Privileges Lifetime | Proposed lifetime of authorization privileges requested by the Receiver | O |
+
+**Table 7.3.2.2-1 – Information sent from Hosting CSE to DAS Server
+during the Direct Dynamic Authorization**
+
+| Parameter | Description | Mandatory/Optional |
+|---------------------------|-------------------------------------------------------------------------------------------------------------------------|--------------------|
+| Role IDs From ACPs | The set of Dynamic Access Roles in the accessControlDynAuthRole parameters associated with the DAS Server AE-ID. | O |
+| Token IDs | The set of token identifiers associated with the Originator | O |
+
+3 DAS server processing:
+
+3.1 The DAS server processes the received parameters. The DAS server may decide to provide *Token(s)* and/or *dynamicACPIInfo* which will be used by the hosting CSE to create a dynamic ** resource. The DAS server applies the policies with which it is configured to decide on the appropriate actions.
+
+NOTE 2 – The details of this decision are specific to the dynamic authorization system being employed; these details are not visible to the oneM2M system, and are not addressed in this Recommendation.
+
+The token(s) (if any) shall conform to clause 7.3.3.1 "Token structure", with the following profile:
+
+- The "holder" parameter shall contain the Originator's absolute CSE-ID or AE-ID received from the HCSE, and may contain other CSE-IDs and AE-IDS.
+- The "audience" parameter shall contain only the HCSEs CSE-ID.
+
+The DAS server shall apply a ESData protection option to the individual tokens with the following requirements:
+
+- The DAS server may encrypt the token such that the token can be decrypted by the Hosting CSE.
+- The Hosting CSE shall be able to verify that the DAS server issued the token.
+
+The ESData processing results in an ESData envelope which is called the *ESData-protected Token* for the purposes of this message flow.
+
+If the DAS server decides to authorize the Hosting CSE to create a dynamic ** resource, then the DAS server shall form a *dynamicACPIInfo* parameter containing the following information as listed in Table 7.3.2.2-2.
+
+**Table 7.3.2.2-2 – Information included in the *dynamicACPIInfo* parameter**
+
+| Parameter | Description | Mandatory/Optional |
+|---------------------|--------------------------------|--------------------|
+| Granted Privileges | List of granted privileges | O |
+| Privileges Lifetime | Lifetime of granted privileges | O |
+| Tokens | List of issued tokens | O |
+
+3.2 The DAS server shall send the ESData-protected *Token(s)* (if any) and (optional) *dynamicACPIInfo* parameter via the DAS Server AE to the Hosting CSE. The transport of parameters is specified in step 2.3, clause 11.5.2, [ITU-T Y.4500.1].
+
+4 HCSE processing:
+
+4.1 The HCSE processes the ESData-protected *Token(s)* (if present) and *dynamicACPIInfo* parameter (if present):
+
+4.1.1 The HCSE shall perform the following verifications for each ESData-protected *Token*:
+
+4.1.1.1 The HCSE shall apply ESData processing to the ESData-protected *Token* to extract the authenticated Token.
+
+4.1.1.2 The HCSE shall perform the following verifications:
+
+4.1.1.2.1 The "issuer" parameter in the token shall exactly match the identity of the DAS Server.
+
+4.1.1.2.2 The HCSE's CSE-ID shall match the CSE-ID in the "audience" parameter in the Token.
+
+4.1.1.2.3 The "holder" parameter in the token shall exactly matches the absolute CSE-ID or AE-ID of the Originator from whom the request was received.
+
+4.1.1.2.4 The HCSE shall verify that the Token has not expired, by comparing the current time to the "notAfter" parameter in the Token.
+
+4.1.1.3 The HCSE shall cache the verified token, and may later delete the verified token when the token expires (as defined in step 4.1.2.4).
+
+4.1.2 If *dynamicACPIInfo* is provided by the DAS Server, then the Hosting CSE shall create a dynamic ** resource matching the *dynamicACPIInfo*.
+
+4.2 The Hosting CSE repeats the access decision mechanism in clause 7.1.4 "Access control decision".
+
+4.3 If access is granted, then the Hosting CSE performs the operation requested in the request from the Originator, resulting in the Hosting CSE sending a request to the Originator.
+
+#### **7.3.2.3 Indirect dynamic authorization**
+
+This Recommendation specifies the exchanged parameters and associated processing at the Originator and Hosting CSE. The transport of parameters is specified in clause 11.5.3 of [ITU-T Y.4500.1].
+
+The message flow for indirect dynamic authorization is shown in Figure 7.3.2.3-1, and described in the following text.
+
+
+
+```
+
+sequenceDiagram
+ participant Originator
+ participant Hosting CSE
+ participant DAS Server
+ participant AE
+
+ Note over Originator: (opt) 1. Original request
+ Originator->>Hosting CSE: (opt) 1. Original request
+
+ Note over Hosting CSE: (opt) 2.1. Performs access decision. Unable to grant access for original request
+(opt) 2.2. Identified DAS Servers and Role-IDs (if any) for each DAS Server.
+Optionally protect set of Role-IDs for DAS Server by applying ESData.
+ Note over Hosting CSE: (opt) 2.3. List of DAS Servers and ESData-protected Role-IDs (if any) for each DAS Server
+ Hosting CSE-->>Originator: (opt) 2.3. List of DAS Servers and ESData-protected Role-IDs (if any) for each DAS Server
+
+ Note over Originator: (opt) 2.4. Select a DAS Server from list
+ Originator->>DAS Server: 3. Originator requests DAS Server issue Tokens, optionally using information from Role-IDs and parameters from request. DAS Server provides Originator with tokenId(s), and optionally ESData-protected Token(s) and/or other parameters from Token.
+ Note over DAS Server: Optionally apply ESData to ESData-protected Role-IDs
+ DAS Server-->>Originator: 3. Originator requests DAS Server issue Tokens, optionally using information from Role-IDs and parameters from request. DAS Server provides Originator with tokenId(s), and optionally ESData-protected Token(s) and/or other parameters from Token.
+
+ Note over Originator: 4. Request, including new ESData-protected Token(s) or tokenId(s)
+ Originator->>Hosting CSE: 4. Request, including new ESData-protected Token(s) or tokenId(s)
+
+ Note over Hosting CSE: 5.1. TokenID(s),
+ Hosting CSE->>AE: 5.1. TokenID(s),
+ Note over AE: AE
+ AE-->>Hosting CSE: 5.2. ESData-protected Token(s),
+
+ Note over Hosting CSE: 6.1. Verify Tokens.
+6.2. (optional) Assign Local-Token-IDs to Tokens.
+6.3. Perform access decision. If access is granted, requested operation is performed
+
+ Note over Hosting CSE: 7.1. Response
+(opt) (Local-Token-ID, TokenId) pairs
+ Hosting CSE-->>Originator: 7.1. Response (opt) (Local-Token-ID, TokenId) pairs
+
+ Note over Originator: (opt) 7.2. Associate Local-Token-ID Select with TokenId
+ Originator->>Originator: (opt) 7.2. Associate Local-Token-ID Select with TokenId
+
+```
+
+Y.4500.3(23)
+
+Sequence diagram showing the message flow for indirect dynamic authorization between an Originator, Hosting CSE, and DAS Server. The process starts with an optional request from the Originator to the Hosting CSE. The Hosting CSE performs an access decision and, if denied, identifies DAS servers and role-IDs. It then sends a list of these to the Originator. The Originator selects a DAS server and requests tokens. The DAS server issues tokens, optionally protected by ESData. The Originator sends these tokens back to the Hosting CSE. The Hosting CSE verifies the tokens and performs an access decision. Finally, the Hosting CSE sends a response to the Originator, optionally including Local-Token-ID and TokenID pairs. The Originator then associates the Local-Token-ID with the TokenID.
+
+**Figure 7.3.2.3-1 – Message flow for indirect dynamic authorization**
+
+1. (Optional) The Originator sends request to the Hosting CSE. The Originator includes an indication that the Originator is prepared to request tokens from DAS servers for this request. This request may include a combination of *Tokens*, *tokenId*s, *Local-Token-IDs* but this message flow assumes that these do not provide sufficient permissions for accessing the requested resource.
+2. (Optional) Initial Hosting CSE processing:
+ - 2.1 The Hosting CSE performs the access decision for the request from the Originator. This call flow assumes that the request from the Originator is denied as a result of the access decision. The Hosting CSE observes the indication that the Originator prepared to request tokens from DAS servers for this request.
+ - 2.2 The Hosting CSE forms a list of DAS server's and associated Role-ID(s) (if any) as described in step 2.2.1 of the direct dynamic authorization in clause 7.3.2.3 "Direct dynamic authorization".
+For each DAS server, the hosting CSE may apply ESData to the set of Role-IDs for decryption by the DAS server. For example, the ESData may encrypt the set of Role-IDs so they are not visible to the Originator.
+ - 2.3 The Hosting CSE shall send an unsuccessful response to the Originator, including the list of DAS servers and associated set of optionally-ESData-protected Role-IDs.
+ - 2.4 The Originator selects a DAS server identified in the response.
+3. The Originator shall interact with the DAS server to request the issuance of a *Token*. The Originator can provide the optionally-ESData-protected set of Role-IDS to the DAS server, and parameters from the original resource access request. If the set of Role-IDS is protected using ESData,
+
+the DAS server applies ESData to extract the set of Role-IDS. The DAS server issues a Token(s) and provides the tokenID(s) and optionally the ESData-protected token(s) to the originator. The DAS server can also provide the Originator with other parameters from the token; for example, the time window in which the token is valid. This interaction is specific to the dynamic authorization system technology being used.
+
+4. For request that the Originator wishes to have authorized using an issued token, the originator shall add ESData-protected Token provided by the DAS server or *tokenID* (if no ESData-protected token was provided) if the corresponding ESData-protected token(s) was not provided by the DAS server. In particular, if the request at step 1 was unsuccessful at step 2.3, then the Originator may repeat the request with new *Token(s)* and/or *tokenID(s)*. A token may be used in multiple request.
+
+The Originator shall send the request to the Hosting CSE.
+
+5. (Optional) If the request includes *tokenID(s)*, then for each *tokenID* the hosting CSE identifies the corresponding DAS server AE from which to request the corresponding token:
+
+5.1 The Hosting CSE sends the tokenID(s) to the DAS server via a DAS server AE.
+
+5.2 The DAS server shall return the corresponding valid ESData-protected token(s) to the Hosting CSE via the DAS server AE.
+
+6. Hosting CSE processing:
+
+6.1 Token processing:
+
+- The HCSE's CSE-ID shall match one of the absolute CSE-IDs (optionally including wildcards) in the "audience" parameter in the token.
+- The "holder" parameter in the Token shall exactly match the Absolute CSE-ID or AE-ID of the Originator from whom the request was received.
+- The HCSE shall verify that the token is currently valid and not expired, by comparing the current time to the "notBefore" and "notAfter" parameter in the token. If a cached token has expired, then the token may be removed from the cache.
+
+6.1.1 The Hosting CSE shall apply ESData to the ESData-protected Token(s), either provided in the request or retrieved from the DAS Server, to extract the authenticated Token(s).
+
+6.1.2 If a Local-Token-ID was provided in the request, then the Hosting CSE attempts to retrieve the cached token.
+
+6.1.3 The HCSE shall perform the following verifications for each authenticated and cached token associated with the request:
+
+- The HCSE's CSE-ID shall match one of the Absolute CSE-IDs (optionally including wildcards) in the "audience" parameter in the Token.
+- The "holder" parameter in the Token shall exactly match the Absolute CSE-ID or AE-ID of the Originator from whom the request was received.
+- The HCSE shall verify that the Token is currently valid and not expired, by comparing the current time to the "notBefore" and "notAfter" parameter in the Token. If a cached Token has expired, then the Token may be removed from the cache.
+
+6.1.4 If any identified Token could not be retrieved in steps 5 or 6.1.2, or if any ESData-protected Token-ID failed verification at step 6.1.1, or if any Token failed the verification at step 6.1.3, then the Hosting CSE shall respond with an error.
+
+6.1.5 The Hosting CSE may cache any new Token(s).
+
+6.2 The Hosting CSE may assign *Local-Token-ID(s)* to cached token(s).
+
+6.3 The Hosting CSE shall perform the access decision as described in clause 7.1.4, including the information in the token(s) identified in the request. If access is granted, then the requested operation shall be performed.
+
+7. Response:
+
+7.1 The Hosting CSE sends a response to the Originator. For each new *Local-Token-ID*(s) that has been assigned, the Hosting CSE provides the *Local-Token-ID* and corresponding *tokenID* in the response parameters.
+
+7.2 The Originator associates the *Local-Token-ID* with *tokenID*. In subsequent requests, the Originator may use the *Local-Token-ID* instead of the *Token* or *tokenID*.
+
+#### 7.3.2.4 Token structure
+
+A token is used to carry authorization information that can be roles assigned to the token holder or access control policies applicable to the token holder. The structure of token is shown in Figure 7.3.2.4-1, it contains the following data fields:
+
+version: version of the token.
+
+tokenID: unique ID of the token.
+
+holder: ID of the token holder.
+
+issuer: ID of the token issuer.
+
+notBefore: token valid from this time.
+
+notAfter: token expired after this time.
+
+tokenName: optional, human readable name of the token.
+
+audience: optional, list of CSE\_IDs of the CSEs expected to accept the token.
+
+permissions: permissions associated with the token. Its format is specified in clause 9.6.39 of [ITU-T Y.4500.1].
+
+extension: used for store other information, e.g., application-specific information.
+
+
+
+| Access Token | |
+|---------------------------------|--|
+| Access Token Security Mechanism | |
+| version | |
+| tokenID | |
+| issuer | |
+| holder | |
+| notBefore | |
+| notAfter | |
+| tokenName | |
+| audience | |
+| permissions | |
+| extension | |
+
+Y.4500.3(23)
+
+Diagram showing the structure of an Access Token. The outermost box is labeled 'Access Token'. Inside it is a box labeled 'Access Token Security Mechanism'. Inside that is a table with 11 rows: version, tokenID, issuer, holder, notBefore, notAfter, tokenName, audience, permissions, and extension.
+
+Figure 7.3.2.4-1 – Structure of a token
+
+A token shall be protected by the ESData security mechanism. A token shall be signed, encrypted or signed and encrypted.
+
+#### 7.3.2.5 Token evaluation
+
+The generic process of evaluating a token can be described as follows:
+
+Token security validation: Depending on the security mechanism used by a token, the validation may be:
+
+Verifying signed token;
+
+Decrypting encrypted token; or
+
+Decrypting and verifying signed and encrypted token.
+
+After passing the token security validation, the plain text of the token can be used for further validation.
+
+Token content validation: Depending on the content contained in the token, the validation may check:
+
+If the identity of the Originator is equal to the token holder specified in the *holder* data field.
+
+If the token issuer specified in the *issuer* data field is valid.
+
+If this token is not expired according to the *notBefore* and *notAfter* data fields.
+
+If the identifier of the Hosting CSE is in the CSE-ID list specified by the *audience* data field (in case the *audience* data field is not empty).
+
+After passing the token content validation, the permissions associated to this token shall be used for access control.
+
+Token permissions evaluation: Checking the permission element in the permission list one by one until the access request is permitted by one of the permissions or end of the list. For each permission in the list of the permissions the evaluation shall be done as follows:
+
+Checking *resourceIDs* element. If it is present, then the authorization information described in *privileges* and/or *roleIDs* elements shall apply only to the resources specified by this element. If the *privileges* element is present, then this element shall be present.
+
+If the *privileges* element is present, the access control rules held in this element shall be used as applicable access control policy in the current access control decision making process.
+
+If the *roleIDs* element is present, the Role-IDs held in this element shall be used as valid roles in the current access control decision making process.
+
+#### 7.3.2.6 oneM2M JSON web tokens (JWTs)
+
+##### 7.3.2.6.1 Introduction to oneM2M JWTs
+
+oneM2M specifies a JSON web tokens (JWTs) representation [IETF RFC 7519] for tokens used in oneM2M. A JWT compliant with the present clause is called a *oneM2M JWT*.
+
+**Background:** A JWT uses either the JSON web signature (JWS) compact representation, or JSON web encryption (JWE) compact representation, specified in [IETF RFC 7515] and [IETF RFC 7519]. The JWT specification [IETF RFC 7519] also defines an unsecured JWT which is a JWS using the "alg" header parameter value "none" and with the empty string for its JWS signature value.
+
+The JWT specification defines a JSON element which is the structure of the payload of the JWS or JWE when used as a JWT. This payload comprises a set of JWT claims, with [IETF RFC 7519] standardizing an initial set of JWT claim names. IANA maintains a registry of JWT claim names [b-IANA JWT].
+
+##### 7.3.2.6.2 oneM2M JWT profile
+
+**oneM2M JWT claims:** Table 7.3.2.6.2-1 provides the mapping from the JWT claim names, in a oneM2M JWT, to the elements of the m2m:tokenClaimSet complex data type described in [ITU-T Y.4500.4]. Where available, JWT claim names registered with IANA [b-IANA JWT] have been used. [ITU-T Y.4500.4] specifies which elements are mandatory and which elements are optional.
+
+**Table 7.3.2.6.2-1 – The oneM2M JWT claim set and mapping to elements of m2m:tokenClaimSet**
+
+| Token Claimset Object Element Path | Token Claimset Object Element Short Name | oneM2M JWT claim name | Where is this JWT claim name defined? | Additional details for mapping from Token Claimset Object values to JWT Claim values |
+|------------------------------------|------------------------------------------|-----------------------|---------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| version | tkvr | "tkvr" | [ITU-T Y.4500.4] short names | Values shall be identical |
+| tokenID | tkid | "jti" | [IETF RFC 7519] | Values shall be identical |
+| issuer | tkis | "iss" | [IETF RFC 7519] | Values shall be identical |
+| holder | tkhd | "azp" | OpenID Connect Core 1.0 [OIDF CC] | Values shall be identical |
+| notBefore | tknb | "nbf" | [IETF RFC 7519] | Token Claimset Object element "notBefore" is in ISO8601 "Basic Format", see [ITU-T Y.4500.4]. This element shall be mapped to JWT Claim "nbf" which uses NumericDate format [RFC7519]. |
+| notAfter | tkna | "exp" | [IETF RFC 7519] | Token Claimset Object element "notAfter" is in ISO8601 "Basic Format", see [ITU-T Y.4500.4]. This element shall be mapped to JWT Claim "exp" which uses NumericDate format [RFC7519]. |
+| tokenName | tknm | "tknm" | [ITU-T Y.4500.4] short names | Values shall be identical |
+| audience | tkau | "aud" | [IETF RFC 7519] | Token Claimset Object element "audience" is a list of m2m:ID. This list shall be mapped to JWT Claim "aud" comprising an array of case-sensitive strings, each containing a StringOrURI value [RFC7519]. |
+| permissions | tkps | "tkps" | [ITU-T Y.4500.4] short names | Values shall be identical |
+| extension | tkex | "tkex" | [ITU-T Y.4500.4] short names | Values shall be identical |
+
+**oneM2M JWT security profile.** The JWS compact representation and JWE compact representation are both supported by ESData (see clause 8.5.3). A oneM2M JWT may use any ESData security class: Encryption-only, Signature-only or Nested-Sign-then-encrypt. A oneM2M JWT may use any algorithm supported by ESData for the JWS compact representation and JWE compact representation.
+
+A oneM2M JWT may be an unsecured JWT, in which case the oneM2M JWT is considered to use the unsecured ESData security class.
+
+[IETF RFC 7519] discusses security considerations of JWTs, and operators of token issuers (dynamic authorization servers and Authorization Authorities) should consult that text when deciding on ESData security class and algorithms.
+
+**JOSE header parameters of oneM2M JWTs:** When the Encryption-only ESData security class is used, then
+
+The JOSE header of the JWE shall include the "typ" parameters set to "JWT".
+
+The JOSE header of the JWE shall not include the "cty" parameter.
+
+When the Signature-only ESData security class is used, then
+
+The JOSE header of the JWS shall include the "typ" parameters set to "JWT".
+
+The JOSE header of the JWS shall not include the "cty" parameter.
+
+When the Nested-Sign-then-encrypt ESData security class is used, then the JWT claims are the payload of a JWS, and the JWS becomes the payload of a JWE. In this case,
+
+The JOSE header of both the JWS and the JWE shall include the "typ" header parameters set to "JWT".
+
+The JOSE header of the JWE shall include the "cty" parameter set to be "JWT", to indicate that a Nested JWT is carried in this JWT.
+
+The JOSE header of the JWS shall not include the "cty" parameter.
+
+##### **7.3.2.6.3 oneM2M JWT procedures**
+
+**Configuring CSEs for verifying tokens from a token issuer:** In order for a CSE to verify oneM2M JWTs issued by a particular token issuer, the CSE shall be provided with the following information in a secure manner:
+
+The combinations of ESData security classes and algorithms permitted by the token issuer.
+
+Credentials for verifying tokens conforming to those ESData security classes and algorithms, noting that no credentials are needed for verifying tokens using the unsecured ESData security class.
+
+The present specification does not specify mechanisms for providing this information to the CSE. The present specification does not define data structures for storing this information on the CSE. The security level to apply on each particular CSE has to be derived from application specific risk assessment.
+
+**Creating a oneM2M JWT:** When a token issuer is triggered to create a token, then the token issuer shall perform the following steps
+
+The token issuer shall form a token claimset object compliant with data type m2m:tokenClaimSet, with the permission element using the JSON serialization.
+
+The token issuer shall create the corresponding oneM2M JWT claim set using the mapping in Table 7.3.2.6.2-1.
+
+The token issuer shall select an ESData security class, algorithms and corresponding credentials. This step may also be performed before step 1) or between steps 1) and 2).
+
+The token issuer shall create oneM2M JWT using the oneM2M JWT claims, ESData security class, algorithms and corresponding credentials. This step uses the process described for JWTs in [IETF RFC 7519].
+
+The resulting oneM2M JWT has data type m2m:dynAuthJWT.
+
+**Validating a oneM2M JWT.** When a CSE receives a oneM2M JWT for use in an access decision, then the CSE shall perform the following steps:
+
+The CSE shall validate that the oneM2M JWT conforms to the m2m:dynAuthJWT data type.
+
+The CSE shall validate the security of the oneM2M JWT as described in clause 7.3.2.5, using the JWT-specific details in [IETF RFC 7519] and configured credentials (if required). A CSE shall discard a oneM2M JWT which uses a ESData security class or algorithms which are not permitted by the token issuer.
+
+The CSE shall create a token claimset object from the oneM2M JWT claim set by reversing the mapping in Table 7.3.2.6.2-1.
+
+The CSE shall validate the token claimset object as described in clause 7.3.2.5.
+
+The token claimset object permissions element can now be processed as described in clause 7.3.2.5.
+
+## 7.4 Role based access control
+
+### 7.4.1 Role based access control architecture
+
+Figure 7.4.1-1 provides a high level overview of the role based access control architecture in the oneM2M system. The entities related to role issuance and role based access control are described as follows:
+
+**Authorization Authority:** It is responsible for assigning roles to Originators through creating ** and/or ** resources in role and/or token repositories.
+
+**Role Repository:** It is a CSE that is responsible for storing ** resources.
+
+**Token Repository:** It is a CSE that is responsible for storing ** resources.
+
+NOTE 1 – The arrows shown in Figure 7.4.1-1 are the logical relations among the entities and not the registration relations that form the real data paths.
+
+NOTE 2 – The functions of PDP and PIP are combined in the Hosting CSE for the present oneM2M release.
+
+
+
+```
+graph TD
+ Originator["Originator (AE/CSE)"]
+ AuthAuthority["Authorization Authority (CSE)"]
+ RoleTokenRepo["Role/Token Repository (CSE)"]
+ subgraph HostingCSE ["Hosting CSE"]
+ PDP
+ PIP
+ end
+
+ Originator -.->|1. Role assignment request| AuthAuthority
+ AuthAuthority -.->|3.a. Role assignment response| Originator
+ AuthAuthority -.->|3.b. Role assignment notification| Originator
+ AuthAuthority -->|2. Create / resources| RoleTokenRepo
+ RoleTokenRepo -->|7.2. Retrieve / resources| AuthAuthority
+ Originator -->|4. Retrieve / resources| RoleTokenRepo
+ Originator -->|5. Access resource|
+ RoleTokenRepo -->|7.1. Information request| PIP
+ PIP -->|8. Make access control decision| PDP
+ PDP -->|6. Decision request| Originator
+```
+
+PDP and PIP are combined in the Hosting CSE for the present oneM2M Release
+
+Y.4500.3(23)
+
+Figure 7.4.1-1: Role based access control architecture diagram. The diagram shows the interactions between an Originator (AE/CSE), Authorization Authority (CSE), Role/Token Repository (CSE), Hosting CSE, PDP, and PIP. The Originator sends a role assignment request to the Authorization Authority, which responds with role assignment response and notification. The Authorization Authority creates role/token resources and stores them in the Role/Token Repository. The Originator retrieves these resources from the Role/Token Repository and uses them to access a resource. The Originator then sends a decision request to the Hosting CSE, which sends an information request to the PIP. The PIP sends an information request to the PDP, which makes an access control decision and returns it to the PIP. The PDP and PIP are combined in the Hosting CSE for the present oneM2M release.
+
+**Figure 7.4.1-1 – Role based access control architecture**
+
+The generic procedure of this architecture is described as follows:
+
+Step 001: An Originator may apply for a role from an Authorization Authority. This step may not exist in some situations, e.g., the Authorization Authority directly assigns a role to an Originator.
+
+This step is not specified in this Recommendation.
+
+Step 002: The Authorization Authority shall check if the applied privilege can be assigned to the Originator. If it is permitted, the Authorization Authority need to create a ** resource that specifies the role assignment in a role repository, or issue a token that contains the assigned role to the Originator. The issued token may be stored in a ** resource in a token repository.
+
+Step 003: The Authorization Authority informs the Originator on the result of a role assignment. The returned information may contain role ID, token ID, token or the information about the created ** or ** resources. There are two cases to be considered:
+
+- a) In case the Originator sends a role assignment request to the Authorization Authority, the Authorization Authority returns the result of the role assignment via a role assignment response.
+- b) In case the Authorization Authority directly assigns a role to an Originator, the Authorization Authority informs on the result of a role assignment via a role assignment notification.
+
+This step is not specified in this Recommendation.
+
+Step 004: The Originator may retrieve the assigned roles and/or tokens from a role and/or Token Repositories using the information provided by an Authorization Authority in order to get detailed information about the assigned roles and/or tokens.
+
+Step 005: The Originator sends an access request to the target resource in the Hosting CSE. The request may contain the role information that may be the role IDs, tokens or token IDs.
+
+Step 006: The Hosting CSE may send an access control decision request to a PDP.
+
+Step 007: The PDP may need to retrieve the Originator's role assignment information according to the Role-IDs and/or Token-IDs from the Role and/or Token Repositories.
+
+Step 008: The PDP verifies the Originator's roles and/or tokens, and then makes an access control decision according to the access control policies and roles.
+
+### **7.4.2 Role issuing procedure**
+
+#### **7.4.2.1 Introduction**
+
+There are two ways to assign roles to an Originator.
+
+One way is to create a ** resource that describes what role is assigned to the originator. The ** resources are stored in role repositories from which the AEs and CSEs can retrieve ** resources in order to get an Originator's role assignment information.
+
+Another way is to issue a token that describes what role is assigned to the token holder (i.e., the Originator). The issued token may also be stored in a ** resource in a token repository from which the issued token can be retrieved.
+
+A ** resource may also point to a ** resource in which the token that holds the assigned role is stored through the *tokenLink* attribute.
+
+#### **7.4.2.2 Role assignment procedure**
+
+The general procedure of assigning a role to an Originator is shown in Figure 7.4.2.2-1 and described as follows:
+
+
+
+```
+
+sequenceDiagram
+ participant O as Originator (AE/CSE)
+ participant RR as Role Repository (CSE)
+ participant AA as Authorization Authority (CSE)
+
+ O->>AA: 1. Apply for role request
+ Note over AA: 2. Check if the role can be assigned to the Originator
+ AA->>RR: 3. CREATE resource request
+ Note over RR: 4. Creating resource in a role repository
+ RR->>AA: 5. CREATE resource response
+ AA->>O: 6. Apply for role response
+ O->>RR: 7. RETRIEVE resources request
+ RR->>O: 8. RETRIEVE resources response
+
+```
+
+Y.4500.3(23)
+
+Sequence diagram showing the procedure of role assignment between Originator (AE/CSE), Role Repository (CSE), and Authorization Authority (CSE).
+
+**Figure 7.4.2.2-1 – Procedure of role assignment**
+
+The procedure of role assignment is:
+
+1. The Originator may send role assignment request to the Authorization Authority. The specification about this step is however out of scope of this Recommendation.
+2. The Authorization Authority shall check if the applied role can be assigned to the Originator. After passing the privilege authorization check, the Authorization Authority shall assign the role to the Originator.
+3. The Authorization Authority shall send a resource creation request to the Role Repository.
+4. The Role Repository shall create a resource according to the creation request.
+5. The Role Repository shall return the result of resource creation back to the Authorization Authority.
+6. The Authorization Authority shall return the result of the role assignment back to the Originator. The specification about this step is however out of scope of this Recommendation.
+7. The Originator may send resource retrieve request to the Role Repository in order to get the role assignment information.
+8. The Role Repository shall return retrieved content of the resources back to the Originator.
+
+#### 7.4.2.3 Issuing token associated with role
+
+The general procedure of issuing a role token (a token associated with assigned role) to an Originator is shown in Figure 7.4.2.3-1 and described as follows:
+
+
+
+```
+
+sequenceDiagram
+ participant O as Originator (AE/CSE)
+ participant RR as Role Repository (CSE)
+ participant TR as Token Repository (CSE)
+ participant AA as Authorization Authority (CSE)
+
+ TR->>RR: 0. Create resource
+ Note over AA: 1. Issuing a token that contains the role assigned to the Originator
+ AA->>TR: 2. CREATE resource request
+ Note over TR: 3. Creating resource in a token repository
+ TR->>AA: 4. CREATE resource response
+ AA->>RR: 5. Update tokenLink attribute of resource
+ Note over TR: 6.a. NOTIFY token issuance
+ Note over RR: 6.b. NOTIFY token issuance
+ RR->>O: 7. RETRIEVE resources request
+ O->>TR: 8. RETRIEVE resources response
+
+```
+
+Y.4500.3(23)
+
+Sequence diagram showing the procedure of role token issuance between four entities: Originator (AE/CSE), Role Repository (CSE), Token Repository (CSE), and Authorization Authority (CSE).
+
+**Figure 7.4.2.3-1 – Procedure of role token issuance**
+
+The procedure of role token issuance is:
+
+0. The Authorization Authority creates a ** resource in a Role Repository for a role assignment.
+1. The Authorization Authority issues a token that contains the role assigned to the Originator.
+2. The Authorization Authority shall send a ** resource creation request to a Token Repository.
+3. The Token Repository shall create a ** resource according to the creation request.
+4. The Token Repository shall return the result of ** resource creation back to the Authorization Authority.
+5. The Authorization Authority shall update the *tokenLink* attribute of the ** resource with the address of the ** resource.
+6. The token issuance information shall be passed to the Originator. There are two ways to deal with the notification:
+ - (a) The Authorization Authority uses the NOTIFY operation inform the Originator.
+ - (b) The Token Repository NOTIFY the Originator according to the subscription made by the Originator to the ** resource.
+7. The Originator may send a ** resource retrieve request to the Token Repository in order to get the token issuance information.
+8. The Token Repository shall return the retrieved content of the ** resource back to the Originator.
+
+### 7.4.3 Role based access control procedure
+
+The general procedure of using a role in an authorization process is shown in Figure 7.4.3-1 and described as follows:
+
+
+
+```
+
+sequenceDiagram
+ participant Originator
+ participant HostingCSE as Hosting CSE
+ participant PDP
+ participant PIP
+ participant RoleTokenRepository as Role/Token Repository
+
+ Note over HostingCSE, PDP, PIP: PDP and PIP are combined in the hosting CSE for oneM2M Release 2
+
+ Originator->>HostingCSE: 1. Access resource request (Role-IDs, Token-IDs, Tokens)
+ HostingCSE->>RoleTokenRepository: 2. Retrieve / request
+ RoleTokenRepository-->>HostingCSE: 3. Retrieve / response
+ Note over HostingCSE: Role-ID/Token-ID condition:
+ HostingCSE->>HostingCSE: 4. Verifying role/token
+ HostingCSE->>HostingCSE: 5. Making access control decision
+ HostingCSE->>HostingCSE: 6. Performing access decision
+ HostingCSE-->>Originator: 7. Access resource response
+
+```
+
+Y.4500.3(23)
+
+Sequence diagram for Role based access control procedure. The diagram shows the interaction between an Originator, a Hosting CSE (which contains PDP and PIP), and a Role/Token Repository. 1. The Originator sends an 'Access resource request (Role-IDs, Token-IDs, Tokens)' to the Hosting CSE. 2. The Hosting CSE sends a 'Retrieve / request' to the Role/Token Repository. 3. The Role/Token Repository returns a 'Retrieve / response' to the Hosting CSE. 4. The Hosting CSE performs 'Verifying role/token'. 5. The Hosting CSE performs 'Making access control decision'. 6. The Hosting CSE performs 'Performing access decision'. 7. The Hosting CSE returns an 'Access resource response' to the Originator. A note indicates that PDP and PIP are combined in the hosting CSE for oneM2M Release 2.
+
+**Figure 7.4.3-1 – Role based access control procedure**
+
+1. The Originator shall include the applicable Role-IDs, Token-IDs or tokens into the request sent to the Hosting CSE.
+2. In case of Role-IDs or Token-IDs, the Hosting CSE (acting the role of PIP) shall send a ** or ** resource retrieve request to the Role or Token Repository.
+3. The Role Repository or Token Repository shall return the attributes of ** or ** resource back to the Hosting CSE.
+4. The Hosting CSE (acting in the role of PDP) shall verify the received roles and/or tokens, the verification shall include: if a role/token is issued by a valid Authorization Authority, if holder of the role/token is equal to the Originator, and if the role/token is still valid. Only valid roles/tokens shall be used for access control.
+5. The Hosting CSE (acting in the role of PDP) shall evaluate the access request of the Originator using access control policies and/or Role-IDs for making an access control decision as described in clause 7.1.
+6. The Hosting CSE shall enforce the access control decision, i.e., either perform the resource access on behalf of the Originator or deny the resource access.
+7. The Hosting CSE shall return the result of resource access back to the Originator.
+
+# **8 Security frameworks**
+
+## **8.1 General introductions to the security frameworks**
+
+### **8.1.0 General**
+
+To accommodate the variety of deployment scenarios that can be encountered in M2M applications, the present specification supports a diversity of methods to provision and establish security in M2M systems.
+
+### 8.1.1 General introduction to the symmetric key security frameworks
+
+In the symmetric key security frameworks, each pair of entities that need to authenticate each other is provisioned with its own shared symmetric key. This is performed through pre-provisioning, e.g., during device manufacturing or deployment, or a remote security provisioning framework.
+
+### 8.1.2 General introduction to the certificate-based security frameworks
+
+#### 8.1.2.0 Introduction
+
+This clause describes the credential configuration and certificate verification used in the Certificate-based security association establishment framework and Certificate-based remote security provisioning framework.
+
+#### 8.1.2.1 Public key certificate flavours
+
+This Recommendation defines procedures using the following public key certificate flavours:
+
+Raw public key certificates:
+
+**Description:** A raw public key certificate ([IETF RFC 7250]) contains only the raw public key, without other information normally provided in a certificate. The raw public key certificate is exchanged in the TLS handshake in the place of a traditional certificate (see [IETF RFC 7250]).
+
+**Use:** A raw public key certificate can be used for authenticating a CSE or AE either during the association security handshake phase of the Certificate-based security association establishment or during the bootstrap enrolment handshake phase of the Certificate-based remote security provisioning framework.
+
+Device certificates:
+
+**Description:** These certificates have a certificate chain to a trust anchor and include one or more globally unique hardware instance identifier (such as the object identifier based M2M device identifiers discussed in Annex H "Object identifier based M2M device identifier" [ITU-T Y.4500.1]) in the subjectAltName extension of the certificate. A device certificate can be used to verify the identity of the hardware instance on which the entity is being executed.
+
+**Use:** Device certificates can be used to authenticate a CSE or AE executing on a specific M2M Device. If the M2M device is an ASN or MN (which supports a CSE), then the device certificate is implicitly associated with the CSE that executes on the device. If the device is an ADN (which does not support a CSE) then the device certificate is not implicitly associated with a specific AE executing on the hardware. A device certificate can be used for authenticating a field domain CSE either during the association security handshake phase in the Certificate-based security association establishment framework or during the bootstrap phase of the Certificate-based remote security provisioning framework.
+
+Node-ID certificates:
+
+**Description:** These certificates have a certificate chain to a trust anchor and include the Node-ID of a node (see [ITU-T Y.4500.1]) in the subjectAltName extension of the certificate. A Node-ID certificate can be used to verify the identity of a node.
+
+**Use:** A Node-ID certificate can be used to authenticate a security principal on a node acting on behalf of the CSE and/or AE(s).
+
+CSE-ID certificates:
+
+**Description:** These certificates have a certificate chain to a trust anchor and include the public domain name representation of a CSE-ID (see [ITU-T Y.4500.1]) in the subjectAltName extension of the certificate. A CSE-ID certificate verifies that the entity presenting the certificate has been assigned a particular CSE-ID.
+
+**Use:** A CSE-ID certificate can be used to authenticate a CSE only.
+
+AE-ID certificates:
+
+**Description:** These certificates have a certificate chain to a trust anchor and include the full URI representation of an AE-ID in the subjectAltName extension of the certificate. An AE-ID certificate verifies that the entity presenting the certificate has been assigned a particular AE-ID.
+
+**Use:** An AE-ID certificate can be used to authenticate an AE only.
+
+FQDN certificates:
+
+**Description:** These certificates have a certificate chain to a trust anchor and include the FQDN of an M2M enrolment function in the subjectAltName extension of the certificate. An FQDN certificate verifies that the entity presenting the certificate has been assigned a particular FQDN.
+
+**Use:** A FQDN certificate is used to authenticate an M2M enrolment function to an Enrollee during a bootstrap enrolment handshake phase in a Certificate-based remote security provisioning framework.
+
+NOTE – The flavours, and the details specific for these flavours, are specified to support a range of deployment models while ensuring that oneM2M entities have clear procedures for authenticating other oneM2M entities using certificates.
+
+The profiles for these certificates are found in clause 10.1.1 "Certificate profiles".
+
+#### 8.1.2.2 Certification path validation and certificate status verification
+
+If an entity is to authenticate another entity using a device certificate, CSE-ID certificate, AE-ID certificate or FQDN certificate, then the entity shall perform basic certification path validation (section 6.1 of [IETF RFC 5280]) as part of verifying the other entity's certificate (see clause 8.1.2.4 "Certificate verification").
+
+CA certificates shall include the name constraint extensions (clause 4.2.1.10 "Name constraints" of [IETF RFC 5280]) and shall constrain the names (object identifier M2M device IDs from Annex H "Object identifier based M2M device identifier" [ITU-T Y.4500.1], public domain name representation of the CSE-ID, Absolute AE-ID or FQDNs) which may be in the subsequent certificate used to authenticate the entity (device certificate, CSE-ID certificate, AE-ID certificate or FQDN certificate respectively).
+
+Clause 4.2.1.10 "Name constraints" in [IETF RFC 5280] describes how the name constraint extension is used for constraining URIs and FQDNs.
+
+Clause 10.4.1.4.2 "Profile for certificate authority certificates for device certificates" describes how the name constraint extension is used for constraining object identifier M2M device IDs.
+
+The trust anchor information (section 6.1.1 of [IETF RFC 5280]) is provided to the entity during credential configuration, association configuration, bootstrap credential configuration or bootstrap instruction configuration.
+
+NOTE 1 – Section 6.1.1 of [IETF RFC 5280] states "The trust anchor information is trusted because it was delivered to the path processing procedure by some trustworthy out-of-band procedure". Credential configuration, association configuration, bootstrap credential configuration and bootstrap instruction configuration satisfy the requirements of being trustworthy out-of-band procedures.
+
+**Certificate status verification:** In the case of an infrastructure domain entity receiving an MEF certificate, the entity shall verify the status of the certificate using a certificate revocation List as described in [IETF RFC 5280]. A mapping of the Online Certificate Status Protocol (OCSP) onto HTTP may be used, as described in Appendix A of [IETF RFC 6960], however a mapping of OCSP onto CoAP is not currently defined. Furthermore, OCSP may also not be easily applicable in all environments. An alternative approach may be using the TLS certificate status request extension (section 8 of [IETF RFC 6066]; also known as "OCSP stapling") or preferably the multiple certificate status extension ([IETF RFC 6961]), if available.
+
+NOTE 2 – Most of the above paragraph is based on almost identical text in the CoAP specification [b-IETF RFC 7252], a protocol with similar (if not identical) considerations to oneM2M deployments.
+
+#### 8.1.2.3 Credential configuration for certificate-based security framework
+
+If an entity is to authenticate itself using a certificate-based security framework, then the entity shall be pre-provisioned with the following information:
+
+The entity's private signing key.
+
+NOTE – An entity authenticates itself to other entities by proving that it knows the private signing key corresponding to a particular public verification key.
+
+The entity's certificate (and if applicable, certificate chain) as described in clause 10.1.1 "Certificate profiles".
+
+In the case of a CSE-ID certificate the entity shall be configured with the entity's CSE-ID.
+
+In the case of an AE-ID certificate the entity shall be configured with the entity's AE-ID.
+
+#### 8.1.2.4 Information needed for certificate authentication of another entity
+
+Entity A shall be configured to trust the following information in order to authenticate entity B using the certificate-Based SAEF:
+
+An indication of the public key certificate flavour of other entity B's certificate (that is, raw public key certificate, device certificate, CSE-ID certificate or FQDN certificate).
+
+In the case where entity B's certificate is a raw public key certificate:
+
+A public key identifier for the raw public key in the certificate (see clause 10.1.2 "Public key identifiers").
+
+In the case where other entity B's certificate is a device certificate, CSE-ID certificate or FQDN certificate:
+
+**A globally unique identifier:** The globally unique identifier for the entity which is also present in the subjectAltName extension of the other entity's certificate:
+
+Device certificate: A globally unique hardware instance identifier (such as the object identifier M2M Device ID in Annex H "Object identifier based M2M device identifier" [ITU-T Y.4500.1]) that is present in the device certificate.
+
+CSE-ID certificate: The public domain name representation of the CSE-ID as defined in [ITU-T Y.4500.1].
+
+**Trust anchor information:** For the trust anchor certificates of Entity B's certificate chain (see clause 8.1.2.2 "Path validation and certificate status verification").
+
+Entity B shall be configured to trust the following information in order to authenticate Entity A using the certificate-based SAEF:
+
+An indication of the public key certificate flavour of Entity A's certificate (that is, raw public key certificate, device certificate, CSE-ID certificate, or AE-ID certificate).
+
+In the case where Entity A's certificate is a raw public key certificate:
+
+A public key identifier for the raw public key in the certificate (see clause 10.1.2 "Public key identifiers").
+
+In the case where Entity A's certificate is an device certificate, CSE-ID certificate or AE-ID certificate:
+
+**Trust anchor information:** for the trust anchor certificate for Entity A's certificate chain (see clause 8.1.2.2 "Path validation and certificate status verification").
+
+In order to authenticate the M2M enrolment function using the certificate-based RSPF, an Enrolee shall be configured to trust the trust anchor information of the M2M enrolment function's certificate chain.
+
+An M2M enrolment function shall be configured to trust the following information in order to authenticate an Enrolee using the certificate-based RSPF:
+
+An indication of the public key certificate flavour of Entity B's certificate (that is, raw public key certificate or device certificate).
+
+In the case where the Enrolee's certificate is a raw public key certificate:
+
+A public key identifier for the raw public key in the certificate (see clause 10.1.2 "Public key identifiers").
+
+In the case where the Enrolee's certificate is a device certificate, CSE-ID certificate or AE-ID certificate:
+
+**Globally unique identifier:** The globally unique identifier which is also present in the subjectAltName extension of the Enrolee's certificate:
+
+Device certificate: A globally unique hardware instance identifier (such as the object identifier M2M device ID in Annex H "Object identifier based M2M device identifier" [ITU-T Y.4500.1]) that is present in the device certificate.
+
+CSE-ID certificate: The public domain name representation of the CSE-ID as defined in [ITU-T Y.4500.1]
+
+AE-ID certificate: The absolute AE-ID assigned to the AE.
+
+**Trust anchor information:** for the trust anchor certification for the Enrolee's certificate chain (see clause 8.1.2.2 "Path validation and certificate status verification").
+
+#### 8.1.2.5 Certificate verification
+
+This clause describes how an entity authenticates the other entity in the security handshake of a certificate-based security framework.
+
+The other entity's certificate is received during the security handshake.
+
+The other entity's certificate is verified as follows:
+
+If the certificate information configured during the association configuration or bootstrap instruction configuration indicates that the other entity's certificate is a raw public key certificate, then the entity verifies that the public key identifier (received during association configuration or bootstrap instruction configuration) corresponds to the raw public key certificate (received during the security handshake) using the process described in clause 10.1.2 "Public key identifiers".
+
+If the certificate information configured during the association configuration or bootstrap instruction configuration indicates that the other entity's certificate is a device certificate, CSE-ID certificate, AE-ID certificate or FQDN certificate, then the entity shall perform the following verifications:
+
+The entity shall look for a match between the globally unique identifier described in clause 8.1.2.4 "Information needed for certificate authentication of another entity" (received during association configuration or bootstrap instruction configuration) and the values in the subjectAltName extension of the other entity's certificate (received during the security handshake). If there is not an exact match, then the entity shall abort the (D)TLS handshake.
+
+In the case of device certificate, the globally unique identifier is a globally unique hardware instance identifier (such as the object identifier M2M device ID in Annex H "Object identifier based M2M device identifier" [ITU-T Y.4500.1]). In this case, the notion of a "match" depends on how the globally unique hardware instance identifier may be represented in the subjectAltName extension.
+
+In the case of a CSE-ID certificate, the globally unique identifier is the public domain name representation of the CSE-ID as defined in [ITU-T Y.4500.1], and a match is a FQDN in the subjectAltName extension in the other entity's certificate that is an exact match for the public domain name representation of the CSE-ID.
+
+In the case of an AE-ID certificate, the globally unique identifier is the AE-ID, and a match is a URI in the subjectAltName extension in the other entity's certificate that is an exact match for the Absolute AE-ID.
+
+In the case of an FQDN certificate, the globally unique identifier is the FQDN of the M2M authentication function or M2M enrolment function, and a match is a URI, FQDN or dNSName in the subjectAltName extension in the other entity's certificate that is an exact match for the FQDN of the M2M authentication function or M2M enrolment function.
+
+The entity shall perform path validation and certificate status verification using the trust anchor certificate as described in clause 8.1.2.2 "Path validation and certificate status verification"). If this verification fails, then the entity shall abort the (D)TLS handshake.
+
+NOTE – After a successful security handshake in which the other entity provides a certificate chain, the other entity's identity (received during association configuration or bootstrap instruction configuration) can be associated with additional information extracted from the other entity's certificate chain (e.g., the other entity manufacturer, other entity owner, or conformance criteria). These details are not described in this Recommendation.
+
+### **8.1.3 General introduction to the gba (generic bootstrapping architecture) framework**
+
+Generic bootstrapping architecture (GBA) is a framework that could be used for remote security provisioning. Figure 8.1.3-1 shows a GBA framework.
+
+In case of scenario where the M2M service provider and the operator of the underlying network have an agreement to use the underlying network credentials as the basis for security between a M2M application service/middle node and infrastructure node (including the case that the M2M service provider and the operator of an underlying network are actually the same entity), GBA procedure could be used.
+
+It is important that this feature is used only within the scope of an appropriate agreement between the M2M service provider and the operator of the underlying network. The normative text for the GBA-based security association establishment framework (clause 8.2.2.2) and the GBA-based security bootstrap framework (clause 8.3.2.2) implicitly assumes that such an agreement is already in place. Since this Recommendation is a technical specification, it does not address the details of such an agreement.
+
+A general introduction to GBA is included in oneM2M TR-0008 [b-oneM2M TR0008].
+
+After a successful GBA bootstrapping, the M2M application service/middle node and the BSF share a security association which consists of a bootstrapping transaction identifier (B-TID) and key material (GBA bootstrap Ks).
+
+This security association can be used by the M2M application service/middle node to derive NAF keys (Ks\_(ext/int)\_NAF) shared between a M2M application service/middle node and a M2M infrastructure node or an M2M authentication function.
+
+There are two modes of GBA: ME-based GBA (GBA\_ME) and UICC-based GBA (GBA\_U). In case of GBA\_ME, one NAF-specific key is derived: the key Ks\_NAF. In case of GBA\_U, two NAF-specific keys are derived: Ks\_ext\_NAF (available in the ME) and Ks\_int\_NAF (which remains inside the UICC).
+
+GBA\_U can be performed only when the UICC is GBA aware.
+
+The BSF determines which mode to run based on the UICC capability indicated in the GBA user security settings (GUSS).
+
+The usage of GBA\_U is recommended since it provides a higher level of security than GBA\_ME. The implication of this recommendation is that the entity, AE or CSE, using the GBA\_U-based NAF keys should be resident in the UICC.
+
+
+
+The diagram illustrates the GBA framework architecture and key management process. It features four main components: M2M Application Service/Middle Node, Infrastructure Node -NAF, BSF (Base Station Function), and HSS (Home Subscriber System). The BSF and HSS are grouped within a dashed box. The process flow is as follows:
+
+
+- GBA bootstrapping with HTTP digest authentication:** A large double-headed arrow connects the M2M Application Service/Middle Node and the Infrastructure Node -NAF.
+- Stores: B-TID Ks:** Both the M2M Application Service/Middle Node and the BSF have boxes indicating they store B-TID Ks.
+- Retrieval of AV, GBA USS:** An arrow points from the BSF to the HSS.
+- Derivation of NAF key: Ks\_(ext/int)\_NAF:** A box on the M2M Application Service/Middle Node leads to a box labeled 'Store NAF key(s)'.
+- Retrieval of NAF key: Ks\_(ext/int)\_NAF:** An arrow points from the Infrastructure Node -NAF to a box labeled 'Store NAF key(s)'.
+
+ The reference Y.4500.3(23) is noted at the bottom right.
+
+Figure 8.1.3-1 – GBA framework diagram showing the interaction between M2M Application Service/Middle Node, Infrastructure Node -NAF, BSF, and HSS.
+
+**Figure 8.1.3-1 – GBA framework**
+
+Note that the network application function (NAF) may be an infrastructure node or an M2M authentication function.
+
+## 8.2 Security association establishment frameworks
+
+### 8.2.1 Overview on security association establishment frameworks
+
+The security association establishment frameworks (SAEF) described in this Recommendation, apply to direct connections on the Mcc, Mcc' or Mca reference points.
+
+The security association establishment framework end-points are denoted:
+
+- Entity A, which may be an AE or CSE. This entity always acts as the Client of the security association (TLS/DTLS session).
+- Entity B, which shall be a CSE. This entity always acts as the server of the security association (TLS/DTLS session).
+
+The oneM2M system supports the following security association establishment frameworks:
+
+#### Security association establishment frameworks
+
+**Provisioned symmetric key security association establishment:** A symmetric key is provisioned to the entities: this is called the provisioned M2M symmetric key, and denoted Kpsa. The entities authenticate each other by verifying message integrity codes (MIC) in the security handshake which were generated using the symmetric key. For more details see clause 8.2.2.1.
+
+**Certificate-based security association establishment:** The entities are each issued with:
+
+- a private signing key that is known only to that entity;
+- a certificate containing the corresponding public verification key; and
+- a certificate chain from the entity's certificate to a root certificate.
+
+The entities validate each other's Certificate before trusting the Public Verification Keys in the Certificate. Within the Security Handshake, entity A creates a digital signature of the session
+
+parameters using its private signing key and entity B verifies the digital signature using entity A's public verification key. Then the roles are reversed: entity B creates a digital signature and entity A verifies it. For more details see clause 8.2.2.2.
+
+**M2M Authentication Function (MAF)-based Security Association Establishment:** This Security Association Establishment Framework uses mutual authentication of the entity A and the M2M Authentication Function (MAF) and derive a M2M Secure Connection key (Kc) that the MAF delivers to entity B (via separate mutually-authenticated communication). The entities then authenticate each other using the M2M Secure Connection key (Kc). Each of Entity A and Entity B can use either symmetric key credentials or certificates for mutual authentication with the MAF.
+
+For a more detailed description of the above security association establishment frameworks, it is useful to compare the following aspects of the security association establishment frameworks:
+
+**Credential configuration:** For the provisioned symmetric key security association establishment framework, Entity A and Entity B are provisioned with the provisioned M2M symmetric key that entities subsequently use to authenticate each other using pre-provisioning or remote provisioning.
+
+For the certificate-based security association establishment frameworks, Entity A and Entity B are pre-provisioned with the credential that the entity subsequently uses to authenticate itself to the other entity using pre-provisioning or remote provisioning.
+
+For the MAF-based security association establishment framework, the MAF credential configuration procedure (clause 8.8.3.1) is performed twice: once to provision credentials for mutual authentication of Entity A with MAF, and once to provision credentials for mutual authentication of Entity B with MAF.
+
+**Identity configuration:** Identity configuration can occur as part of credential configuration, or can occur at a later time.
+
+For the MAF-based security association establishment framework, the MAF is configured with information about the identities of Entity B and, optionally, Entity A. Clause 8.2.2.3 provides additional details.
+
+NOTE 1 – The current specifications do not describe how this information is configured to the MAF.
+
+Entity A's knowledge of its identity (IdA) has no impact on the security association establishment.
+
+Entity B shall be configured with its CSE-ID (IdB) prior to association configuration.
+
+**Association configuration:** Entity A shall be provided with IdB, the CSE-ID for Entity B.
+
+NOTE 2 – The present specification does not describe how Entity A is provided with IdB. Example mechanisms could include configuration via remote management, and discovery mechanisms supported by the underlying network(s).
+
+In the case of certificate-based authentication framework: each entity (Entity A and Entity B) is additionally configured with the certificate information that the entity subsequently uses to verify the other entity. The necessary certificate information is dependent on the flavour of the certificates, with details provided in clause 8.1.2.4 "Information needed for certificate authentication of another entity".
+
+In the case of the MAF-based security association establishment framework:
+
+The MAF is provided with the identity of Entity B for which the MAF is authorized to facilitate establishing a security association with Entity A.
+
+Entity A and the MAF interact, using the MAF key registration procedure (clause 8.8.2.7) to establish M2M secure connection key (Kc) and M2M secure connection key identifier (KcID) and authorize Entity A to establish a security association with Entity B. This step includes mutual authentication using the MAF handshake procedure (clause 8.8.2.2). This step includes Entity A providing the MAF with IdB. See Note 2 above.
+
+**Association security handshake:** Identification, authentication and security context establishment between the entities.
+
+In the case of the MAF-based security association establishment framework:
+
+Entity A provides the M2M secure connection key identifier (KcID) to Entity B.
+
+Entity B and the MAF interact using the MAF key retrieval procedure (clause 8.8.2.8). This step includes mutual authentication using the MAF handshake procedure (clause 8.8.2.2). Entity B forwards KcID to the MAF and, if Entity B is authorized, the MAF returns the M2M secure connection key (Kc) and either IdA or a globally unique identifier for the credential used by the MAF to authenticate Entity A during association configuration.
+
+The M2M secure connection Key (Kc) is then used in the security handshake for mutual authentication between Entity A and Entity B.
+
+Entity A associates the resulting security context with IdB: the AE-ID or CSE-ID for Entity B established during Association Configuration.
+
+Entity B associates the security context with one of the following:
+
+- a single Absolute CSE-ID, and indication that Entity A is a CSE;
+- a single Absolute AE-ID, and indication that Entity A is a AE; or
+- a list of allowed Absolute AE-ID values, and indication that Entity A is an AE. This case applies only when Entity A presents a device certificate.
+
+This Recommendation provides the following approaches for Entity B to determine the applicable CSE-ID or AE-ID(s) prior to registration:
+
+If Entity A is authenticated using a CSE-ID certificate (or AE-ID certificate), then Entity B extracts the CSE-ID (or AE-ID respectively) from the certificate and associates the security context with this CSE-ID (or AE-ID respectively), as described in the certificate profile in clause 10.1.1 "Certificate Profiles".
+
+In all other cases, Entity B forms a globally unique Credential-ID (see clause 10.4 "Credential-ID Details") identifying the credential used by Entity A in the security association establishment mechanism. The credential-ID identifies one of a Kpsa (in the case of a PSK SAEF), certificate (in the case of a Certificate-Based SAEF) or the Km (in the case of an MAF-Based SAEF). Entity B subsequently determines the CSE-ID or AE-ID(s) which are applicable for this Credential-ID.
+
+If Entity B assigned the AE-ID(s) corresponding to this Credential-ID, then Entity B is responsible for determining the AE-ID(s) corresponding to this Credential-ID.
+
+Otherwise, the CSE-ID or AE-ID(s) can be made available to Entity B via one of the following approaches. The M2M SP is expected to ensure one of these approaches will successfully provide the CSE-ID or AE-ID(s) of Entity A.
+
+- If the security association establishment procedure is facilitated by an M2M authentication function, then the M2M authentication function may be provided with the CSE-ID or AE-ID and the M2M authentication function may provide this to Entity B at the same time as Kc is provided to Entity B. The M2M authentication function could have been provided with the CSE-ID or AE-ID during provisioning, including the case where the M2M authentication function is provided with the CSE-ID or AE-ID during remote provisioning by an M2M enrolment function (which is similar to the case described in the following bullet).
+- If the security association establishment procedure uses a provisioned symmetric key which was remotely provisioned to Entity A and Entity B, then the M2M enrolment function may provide Entity B with CSE-ID or AE-ID during the remote security provisioning procedure.
+
+- If the M2M service provider assigns Entity A's entity identifier(s), then the CSE-ID or AE-ID(s) may be securely configured by the M2M service provider to Entity B prior to the association security handshake. For example, the CSE-ID or AE-ID(s) may be configured as part of credential configuration or association configuration. This specification permits using other mechanisms, with the assumption that the mechanism provides authentication, integrity protection and optionally confidentiality.
+
+EXAMPLE 1: If the M2M service provider has the opportunity to configure Entity B prior to deployment, then the M2M service provider could configure the CSE-ID or AE-ID(s) to Entity B at this time.
+
+EXAMPLE 2: A secure remote management protocol could be used to configure Entity B with the CSE-ID or AE-ID(s). However, this is not currently an interoperable feature as there is no standardized management object facilitating this management.
+
+In the case that Entity A is an AE and Entity B is a CSE, the applicable AE-ID(s) may be obtained by retrieving the applicable ** resources which are linked to by the *ruleLinks* attribute of the Entity B's ** on the IN-CSE as described in clause 10.1.1.2.2 "Application entity registration procedure" in [ITU-T Y.4500.1].
+
+Figure 8.2.1-1 provides a summary of the above defined three security association establishment frameworks.
+
+
+
+| | Provisioned Symmetric Key | Certificate-Based | MAF-Based |
+|-------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Credential Configuration Pre-Provisioned or Remotely Provisioned | In A: Kpsa, KpsaID
In B: Kpsa, KpsaID | In A: A's Private Key, A's Certificate + (O)Chain
In B: B's Private Key, B's Certificate + (O)Chain | In A: MAF URIs, credential for MAF authn
* Km, KmID or
* as for cert-based + MAF trust anchors
In B: As for A, but with its own credentials
In MAF: Credentials for A/B authn
* Km & KmID for A/B (retrieved in MAF Client Registration if remotely provisioned).
* MAF private key, MAF cert+chain, trust anchors |
+| Identity Configuration | Entity B is configured with IdB (CSE-ID) | | (Optional) MAF Client Registration
(D)TLS Handshake with KmID & Km
KmID
B may also perform MAF Client Registration
|
+| Association Configuration | In A: IdB | In A: IdB, B's Certificate Info
In B: A's Certificate Info | MAF Key Registration
MAF Handshake
(D) TLS Handshake with KmID and Km
IdB
Kc, KcID
|
+| Association Security Handshake | A
B
KpsaID
| A
B
CertA+ (O) ChainA
CertB+ (O) ChainB
| KcID
MAF Key Retrieval
MAF Handshake
(D) TLS Handshake with KmID and Km
KcID
Kc, IdA or KmID
|
+| Key | [parameters]
→ Communication of [parameters]
[parameters]
Internal generation of [parameters]
↔ Mutual authentication
| | |
+
+Y.4500.3(23)
+
+**Figure 8.2.1-1 – Overview of the security association establishment frameworks supported by oneM2M**
+
+### 8.2.2 Detailed security association establishment frameworks
+
+#### 8.2.2.1 Provisioned symmetric key security association establishment frameworks
+
+This clause describes the provisioned symmetric key security association establishment framework. This framework enables mutual authentication of two entities corresponding to either two CSEs or a CSE and an AE. The Credential for this framework is a long-term symmetric key that has been
+
+provisioned into the entities to be authenticated. This key is called a provisioned secure connection key and is denoted *Kpsa*. The provisioning of *Kpsa* could be a pre-provisioning or a remote provisioning thanks to remote security provisioning frameworks, as described in clause 8.3. The entities authenticate each other by verifying message authentication codes in the association security handshake which were generated using the provisioned secure connection key.
+
+Figure 8.2.2.1-1 illustrates the sequence of events when using the provisioned symmetric key security association establishment framework. In this description, "Entity A" and "Entity B" correspond to either two CSEs or a CSE and an AE or an AE and a CSE (respectively).
+
+
+
+The diagram illustrates the sequence of events for security association establishment between Entity A and Entity B. The process is divided into four main phases, each represented by a colored box with a dashed border:
+
+- Credential Configuration (Pink box):** A dashed box inside contains the text: *Kpsa & KpsaID are provisioned to A and B using one of:*
+ - Pre-provisioning or
+ - Remote Provisioning Framework
+- Identity Configuration (Yellow box):** A dashed box on the right side contains the text: *B is configured with IdB*.
+- Association Configuration (Yellow box):** A dashed box on the left side contains the text: *A configured with IdB*. A dashed box on the right side contains the text: *None*.
+- Association Security Handshake: (D)TLS Handshake (Light Blue box):**
+ - Text inside: *A initiates TLS with B using a TLS\_PSK ciphersuite. TLS pski\_identity is set to KpsaID. TLS psk parameter is set to Kpsa*
+ - A dashed box contains two bullet points:
+ - *A generates MIC for session information using Kpsa. B verifies MIC using Kpsa.*
+ - *B generates MIC for session information using Kpsa. A verifies MIC using Kpsa.*
+ - Below the handshake, two dashed boxes contain red text:
+ - Left: *A associates this security context with IdB*
+ - Right: *B determines IdA to associate w/this security context by forming Credential-ID from KpsaID, and applying mapping from Credential-ID to IdA*
+
+Vertical dashed lines connect the entities A and B through all phases. The identifier Y.4500.3(23) is located at the bottom right of the diagram.
+
+Sequence diagram showing the steps of security association establishment between Entity A and Entity B. The steps are: Credential Configuration, Identity Configuration, Association Configuration, and Association Security Handshake. Each step contains specific actions and configurations for both entities.
+
+NOTE – The following font colours differentiate the general topic that the text relates to:
+Blue italic text highlights details specific to this particular security association establishment framework.
+Purple italic text highlights technical actions that may include steps not specified by oneM2M.
+Red italic text highlights security-related properties.
+
+**Figure 8.2.2.1-1 – Sequence of events when using the provisioned symmetric key security association establishment framework**
+
+**Credential configuration:** The provisioned secure connection key (*Kpsa*) and the corresponding provisioned secure connection key identifier, denoted *KpsaID*, are provisioned to both entities either with pre-provisioning or remote provisioning. The format of *KpsaID* is defined in clause 10.5 "KpsaID format". If Entity A is a CSE, then Entity A shall also be configured with its CSE-ID (not shown in the figure).
+
+**Identity configuration:** See clause 8.2.1.
+
+**Association configuration:** Entity A shall be configured with Entity B identity (IdB) prior to performing the association security handshake. Entity A shall use this identity for Entity B authenticating using the above arguments. This identity is also used to route the (D)TLS exchange. Entity A shall associate Entity B's identity with messages secured within Security Contexts established using the provisioned secure connection key Kpsa associated with the provisioned secure connection key identifier KpsaID.
+
+If Entity A is a CSE, then Entity B shall be configured with Entity A's CSE-ID prior to performing the Association Security Handshake. If Entity A is an AE, then Entity B may either be configured with Entity A's identity (IdA) prior to performing the association security handshake, or may determine IdA during registration (Creation of the resource). Entity B shall use this identity for Entity A authenticating using the above arguments. Entity B shall associate the configured Entity A identity with messages secured within security contexts established using the provisioned secure connection key Kpsa associated with the provisioned secure connection key identifier KpsaID.
+
+**Association security handshake:** The entities shall perform a (D)TLS-PSK handshake [IETF RFC 4279] to establish a secure session.
+
+The "psk\_identity" parameter [IETF RFC 4279] shall be set to the value of the provisioned secure connection key identifier KpsaID.
+
+The entities set the "psk" parameter [IETF RFC 4279] to the value of the provisioned secure connection key Kpsa.
+
+The (D)TLS cipher suite profile for the provisioned secure connection key security association establishment framework shall conform to clause 10.2.2.
+
+Following successful authentication of Entity B, Entity A shall associate the security context with Id B (Entity B's entity identifier) configured to Entity A during association configuration.
+
+Following successful authentication of Entity A, Entity B shall associate the security context with a CSE-ID or AE-ID:
+
+- If Entity B was already provided with the CSE-ID or AE-ID corresponding to KpsaID, then Entity B shall associate the security context with that CSE-ID or AE-ID.
+
+Otherwise, Entity B shall associate the security context with the Credential-ID formed from KpsaID as described in clause 10.4 "Credential-ID Details". Entity B shall then determine CSE-ID or AE-ID from the Credential-ID as described in clause 8.2.1 "Overview on security association establishment frameworks".
+
+#### **8.2.2.2 Certificate-based security association establishment frameworks**
+
+This clause describes the certificate-based security association establishment framework.
+
+Figure 8.2.2.2-1 illustrates the sequence of events when using the Certificate-Based security association establishment framework. In this description, "Entity A" and "Entity B" correspond to either two CSEs or a CSE and an AE.
+
+
+
+**Credential configuration**
+
+*A is provisioned w/A's PrivateKeyA, and A's Cert, and optional Chain. If there is a Chain, then Cert includes an M2M Device ID or IdA (A's CSE-ID or AE-ID).*
+
+*B is pre-provisioned w/B's PrivateKeyA, and B's Cert, and optional Chain. If there is a Chain, then Cert includes an M2M Device ID or IdB (B's CSE-ID or AE-ID).*
+
+**Identity configuration**
+
+*B is configured with IdB*
+
+**Association configuration**
+
+*A configured with IdB*
+
+*A configured with B's certificate information*
+
+*B is configured with A's certificate information*
+
+**Association security handshake: (D)TLS handshake**
+A and B authenticate each other using certificates
+
+- A sends A's Cert and (o) Chain*
+- B sends B's Cert and (o) Chain*
+
+*A verifies that B's Cert and (o) Chain using B's certificate information*
+
+*B verifies that A's Cert and (o) Chain using A's certificate information*
+
+*Within the TLS Handshake.*
+
+- A signs session information using A's Private Key. B verifies that signature using public key in A's Cert.*
+- B signs session information using B's Private Key. A verifies that signature using public key in B's Cert.*
+
+*A associates this security context w/IdB*
+
+*B determines CSE-ID, or AE-IDs to associate w/this security context by either*
+*\* using CSE-ID, AE-ID if present in A's Cert, or*
+*\* "looking up" the CSE-ID, AE-ID(s) corresponding to the identifier in certificate*
+
+Sequence of events diagram for certificate-based security association establishment between entities A and B. The diagram is divided into four main colored sections: Credential configuration (pink), Identity configuration (orange), Association configuration (yellow), and Association security handshake: (D)TLS handshake (light blue).
+
+Y.4500.3(23)
+
+NOTE – The following font colours differentiate the general topic that the text relates to:
+
+*Blue italic text highlights details specific to this particular security association establishment framework.*
+
+*Purple italic text highlights technical actions that may include steps not specified by oneM2M.*
+
+*Red italic text highlights security-related properties.*
+
+**Figure 8.2.2.2-1 – Sequence of events when using the certificate-based security association establishment framework**
+
+**Credential configuration:** The private keys and certificates for each entity shall be pre-provisioned as described in clause 8.1.2.3 "Credential configuration for certificate-based security frameworks". If Entity A is a CSE, then Entity A shall also be configured with its CSE-ID (not shown in the figure).
+
+**Identity configuration:** See clause 8.2.1.
+
+**Association configuration:** Entity A and Entity B shall be configured with the information needed for the authentication and identification (during association security handshake) of Entity B and Entity A respectively:
+
+The information configured to Entity A shall include the following arguments:
+
+- Entity B's certificate information: as described in clause 8.1.2.4 "Information needed for certificate authentication of another Entity".
+- Entity B's identity (IdB). Entity A shall use this identity for Entity B authenticating using the above arguments. This is used to route the (D)TLS exchange.
+
+NOTE – The Entity A will associate Entity B's identity with messages secured within security contexts established in accordance with the configured Entity B's certificate information.
+
+The information configured to Entity B shall include the following argument:
+
+Entity A's certificate information: as described in clause 8.1.2.4 "Information needed for certificate authentication of another Entity".
+
+##### **Association security handshake**
+
+Each entity shall verify the other entity's certificate as described in clause 8.1.2.2 "Certificate verification".
+
+The entities shall authenticate each other using the validated certificates as specified in TLS 1.2 [IETF RFC 5246] and DTLS 1.2 [IETF RFC 6347] specifications.
+
+The (D)TLS cipher suite profile for the certificate-based security association establishment framework shall conform to clause 10.2.3.
+
+Following successful authentication of Entity B, Entity A shall associate the security context with IdB (Entity B's entity identifier) configured to Entity A during association configuration.
+
+Following successful authentication of Entity A, Entity B shall associate the security context with a CSE-ID, AE-ID or list of allowed AE-IDs:
+
+- If Entity A establishes a security context by presenting a CSE-ID certificate, then Entity B shall associate the security context with the CSE-ID in the certificate.
+- If Entity A establishes a security context by presenting an AE-ID certificate, then Entity B shall associate the security context with the Absolute AE-ID in the certificate.
+- If Entity A establishes a security context by presenting a device certificate, then Entity B shall associate the security context with the Credential-ID formed from the globally unique hardware instance identifier in the certificate as described in clause 10.4 "Credential Details". Entity B shall then use Credential-ID to determine the CSE-ID, AE-ID or list of allowed AE-IDs as described in clause 8.2.1 "Overview on security association establishment frameworks".
+- If Entity A establishes a security context by presenting a raw public key certificate, then Entity B shall associate the security context with the Credential-ID formed from the corresponding public key identifier described in clause 10.1.2 "Public key identifiers". Entity B shall then use Credential-ID to determine the CSE-ID or AE-ID as described in clause 8.2.1 "Overview on security association establishment frameworks".
+
+#### **8.2.2.3 MAF-based symmetric key security association establishment frameworks**
+
+This clause describes the MAF-based security association establishment framework.
+
+This framework uses the MAF security framework procedures in clause 8.8, with the following mapping of functional roles:
+
+- Entity A plays the role of the source end-point.
+- Entity B plays the role of the target end-point.
+
+The present clause refers to the entities using only the terminology of Entity A and Entity B.
+
+Figure 8.2.2.3-1 shows the sequence of events when using the MAF-based security association establishment framework.
+
+
+
+The diagram illustrates the sequence of events for MAF-based security association establishment between three entities: A, B = IN-CSE, and MAF.
+
+**Credential configuration (Pink background):**
+
+- Pre-provisioned or remotely provisioned
+- In A: MAF-FQDN, Km, KmID, In MAF: Km, KmID
+- B is already configured with IdB* (purple text)
+
+**Association configuration (Orange background):**
+
+- A configured with IdB
+- MAF configured with IdB
+
+**Association Security Handshake: (D)TLS Handshake (Yellow background):**
+
+- MAF Handshake:**
+ - TLS-PSK handshake
+ - The "psk\_identity" parameter is set to the value of the Master Credential Identifier KmID.
+ - The "psk" parameter is set to the value of the Master Credential Km
+- M2M Secure Connection Key Generation (Green background):**
+ - Export Kc and RelativeKcID from (D)TLS Session secrets as per RFC 5705
+ - Generate KcID from RelativeKcID and MAF-URI
+ - Stores Kc and KcID
+ - Internal generation of Kc, KcID (red oval)
+- Key Distribution and Association:**
+ - TLS-PSK handshake between A and B
+ - The "psk\_identity" parameter is set to the value of the KcID. The "psk" parameter is set to the value of the Kc
+ - Entity B and MAF communicate over out-of-scope, mutually-authenticated secure channel
+ - MAF sends KcID to B
+ - MAF sends Kc, KmID, (o) IdA to B
+ - B associates KcID w/KmID, (o) IdA
+ - A associates this security context w/ IdB
+ - B determines CSE-ID or AE-ID to associate w/ this security context by either:
+ - \* using CSE-ID or AE-ID if provided by MAF, or
+ - \* "looking up" the CSE-ID or AE-ID corresponding to KmID
+
+**Legend:**
+
+- [parameter] → Communication of [parameters]
+- [parameter] Internal generation of [parameters]
+- ↔ Mutual authentication
+
+Y.4500.3(23)
+
+Sequence diagram showing the MAF-based security association establishment framework between entities A, B=IN-CSE, and MAF. The process includes credential configuration, association configuration, and a security handshake leading to key generation and association.
+
+NOTE – The following font colours differentiate the general topic that the text relates to:
+
+*Blue italic text highlights details specific to this particular security association establishment framework.*
+
+*Purple italic text highlights technical actions that may include steps not specified by oneM2M.*
+
+*Red italic text highlights security-related properties.*
+
+**Figure 8.2.2.3-1 – The sequence of events when using the MAF-based security association establishment framework**
+
+**Credential configuration:** Entity A (and Entity B respectively) shall be individually provisioned with credentials for mutual authentication with the MAF, as described in MAF credential configuration (clause 8.8.3.1). Pre-provisioning or remote provisioning may be applied. In the case of remote provisioning of symmetric keys, the MAF retrieves the symmetric keys from the MEF during the MAF Client registration procedure in identity configuration.
+
+**Identity configuration:** The MAF is expected to be authorized to provide service to Entity A and Entity B.
+
+NOTE 1 – The current oneM2M specifications do not describe how this authorization is provided to the MAF.
+
+The MAF is configured with information about the identities of Entity B and, optionally, Entity A:
+
+If Entity A is a CSE, then the MAF is expected to be configured with Entity A's CSE-ID (denoted IdA).
+
+If Entity A is an AE, then the MAF is expected to be configured with Entity A's AE-ID (denoted IdA).
+
+The MAF is expected to be configured with Entity B's M2M-SP Assigned CSE-ID (denoted IdB).
+
+NOTE 2 – The current oneM2M specifications do not describe how this information is configured to the MAF.
+
+If Entity A (or Entity B respectively) are remotely provisioned with a symmetric key for use with the MAF, then Entity A (or Entity B respectively) shall individually perform the MAF Client registration procedure (clause 8.8.2.3) with the MAF. This procedure is used to trigger the MAF to (a) retrieve Km from the MEF, and (b) provide the end-point with the KmID to be used for subsequently authentication with the MAF at step 5.
+
+**Association configuration:** Entity A and the MAF shall be configured with the information needed for the authentication and identification during MAF handshake and association security handshake:
+
+**Authorizing the SAEF:** Entity A shall be provided with IdB, the CSE-ID for Entity B.
+
+The MAF is expected to be configured with the Entity B Identity (IdB) for which it is authorized to provide Kc for an SAEF with Entity A.
+
+Entity A and the MAF shall establish a mutually authenticated secure channel for communication using the MAF handshake procedure (clause 8.8.2.2), using the credentials provisioned during credential configuration.
+
+Entity A shall initiate the MAF key registration procedure (clause 8.8.2.7) with the MAF. The MAF key registration shall include the security usage identifier (SUID) associated with the MAF-based SAEF and IdB. This procedure results in:
+
+Entity A and the MAF establishing a M2M secure connection key (Kc) and associated M2M secure connection key identifier (KcID), corresponding to the output symmetric key and key identifier established by the MAF Key registration procedure.
+
+MAF providing the lifetime for the M2M secure connection key (Kc).
+
+The SUID limits the scope within which Kc is authorized to be used. In this case, the SUID is used to ensure that the Entity A shall use Kc only with the MAF-Based SAEF.
+
+**Association security handshake:** Entity A shall initiate a (D)TLS-PSK handshake with Entity B, according to clause 10.2.2.
+
+Entity A shall send KcID to Entity B (infrastructure node) as the "psk\_identity" parameter in a (D)TLS-PSK handshake.
+
+Entity B recognizes the MAF-FQDN part of KcID in the "psk\_identity" parameter, and determines that the corresponding M2M secure connection key (Kc) shall be retrieved from the corresponding MAF. Entity B shall set RelativeKeyID to be the relative part of KcID.
+
+Entity B and the MAF shall perform the MAF Key Retrieval procedure described in clause 8.8.2.8.
+
+NOTE 3 – The MAF key retrieval procedure includes establishing a mutually authenticated secure channel for communication using the MAF handshake procedure (described in clause 8.8.2.2), using the credentials provisioned during credential configuration.
+
+Entity B shall provide the RelativeKeyID to the MAF. The MAF returns the output symmetric key value, expirationTime, security usage identifier (SUID), and identity for Entity A to Entity B. The value of Kc shall be set to the output symmetric key value. The Kc lifetime shall be set to the expirationTime. The SUID limits the scope within which Kc will be used. In this case, the SUID is used to ensure that the Entity B shall use Kc only with the MAF-Based SAEF.
+
+NOTE 4 – Assigning Kc lifetime is the responsibility of the MAF.
+
+Entity A and Entity B shall complete the (D)TLS-PSK handshake with the "psk" parameter set to the value of the M2M secure connection Key (Kc).
+
+Following successful authentication of Entity B, Entity A shall associate the security context with IdB (Entity B's entity identifier) configured to Entity A during association configuration.
+
+Following successful authentication of Entity A, Entity B shall associate the security context with a CSE-ID or AE-ID:
+
+If the MAF provided Entity B with a CSE-ID or AE-ID, then Entity B shall associate the security context with that CSE-ID or AE-ID.
+
+Otherwise, Entity B shall associate the security context with the Credential-ID formed from KmID (provided by the MAF) as described in clause 10.4 "Credential-ID Details". Entity B shall then determine CSE-ID or AE-ID from the Credential-ID as described in clause 8.2.1 "Overview on security association establishment frameworks".
+
+Entity A and Entity B may establish a fresh (D)TLS-PSK handshake using Kc at any time within the Kc Lifetime. Once Kc Lifetime expires, then Entity B shall fail the (D)TLS-PSK handshake, which indicates to Entity B that a fresh MAF handshake is required.
+
+## **8.3 Remote security provisioning frameworks**
+
+### **8.3.1 Overview on remote security provisioning frameworks**
+
+#### **8.3.1.1 Purpose of remote security provisioning frameworks**
+
+Remote security provisioning frameworks (RSPFs) provision credentials to an Enrolee, which is a security principal in a Node or CSE or AE, as part of the enrolment of the Enrolee to an M2M SP or M2M trust enabler. The MEF provides its services on behalf of *administrating stakeholders* such as M2M SPs or third party M2M trust enablers (MTE). An administrating stakeholder authorizes the MEF service provider to provide services to MEF Clients, and oversees authorizing the management of credentials.
+
+The credentials are either:
+
+A symmetric key shared by the Enrolee and an Enrolment target, which may be a MAF or Node or CSE or AE:
+
+If the Enrolment target is an MAF, then the credential can be used for MAF-based SAEF, MAF-based ESPrim and MAF-based ESData protection options, with the provisioned symmetric key used for mutual authentication of the Enrolee and the MAF.
+
+If the Enrolment target is a Node or CSE or AE, then the credential can be used for only one of PSK-based SAEF or PSK-based ESPrim or PSK-based ESData protection options. The provisioned symmetric key used for mutual authentication of the Enrolee and the other Node or CSE or AE.
+
+NOTE 1 – This case should be employed only in cases where the Enrolee is expected to require a symmetric key with relatively few CSE or AE.
+
+Certificate(s) for which the Enrolee knows the corresponding private key, and a set of trust anchors for authenticating the M2M SP or MTE's MAF or other entities enrolled with the M2M SP or MTE. These credentials can be used for:
+
+Securing communication directly with other Nodes or CSEs or AEs using certificate-based SAEF, Direct End-to-End Key Establishment using Certificates (ESCertKE), and certificate-based ESData protection options. The other Nodes or CSEs or AEs would authenticate themselves using their own certificate(s), chaining to a provisioned trust anchor CA certificate, in these security frameworks.
+
+MAF-based SAEF, MAF-based ESPrim, and MAF-based ESData protection options, with the certificate used for authentication of the Enrolee to the MAF. The MAF would authenticate using its own certificate chaining to a provisioned trust anchor CA certificate.
+
+The oneM2M specifications also support provisioning of credentials using the device configuration mechanisms specified in [ITU-T Y.4500.22], and pre-provisioning; that is, provisioning using means other than a remote security provisioning framework. The method for pre-provisioning can be deployment dependent. An interoperable pre-provisioning framework based on UICC is described in Annex D.
+
+NOTE 2 – The RSPFs are specified to provide an interoperable interface for field domain entities to interact with an MEF. Use of the specified RSPFs are recommended for use by field domain entities because they have been reviewed by the security experts of oneM2M. The RSPFs can also be used by infrastructure domain entities (Nodes, AEs, CSEs and MAFs) for interacting with an MEF. It is expected that the MEF may include additional "backend" interfaces, not specified by oneM2M, for coordination of information with administrating stakeholders and MAF Service Providers.
+
+#### 8.3.1.2 High level flow
+
+A security principal in a Node or AE or CSE that requires remote provisioning is called an *Enrolee or source MEF client*. When a key is being provisioned, then the Nodes or AEs or CSEs or M2M authentication function with whom the Enrolee is to establish the symmetric key is called an *Enrolment target or target MEF client*.
+
+The oneM2M system supports the following authentication methods for remote security provisioning Frameworks:
+
+**Pre-provisioned symmetric Enrolee key remote security provisioning framework:** A symmetric key is pre-provisioned to the Enrolee and M2M enrolment function for the mutual authentication of those entities. For more details, see clause 8.3.2.1.
+
+NOTE 1 – The present version of this specification supports only pre-provisioned symmetric keys. Future versions intend to add support for authentication using symmetric keys provisioned by other MEF using an RSPF, or other mechanisms.
+
+**Certificate-based remote security provisioning framework:** The Enrolee and M2M enrolment function are each issued with:
+
+- a private signing key that is known only to that entity;
+- a certificate containing the corresponding public verification key; and
+- (In the case of a device certificate, CSE-ID certificate or AE-ID certificate) a certificate chain from the entity's Certificate to a trust anchor Certificate.
+
+The certificate may be pre-provisioned or provisioned within an RSPF using the certificate Provisioning procedures specified in clause 8.3.6. If an MEF provisions an MEF Client then the MEF Client shall authenticate itself to the MEF using the latest provisioned certificate from the MEF.
+
+The Enrolee and M2M enrolment function shall validate each other's certificate before trusting the Public Verification Keys in the Certificate. Within the security handshake, the M2M enrolment function creates a digital signature of the session parameters using its private signing key and the Enrolee verifies the digital signature using the M2M enrolment function's public verification key.
+
+Then the roles are reversed: the Enrollee creates a digital signature and the M2M enrolment function verifies it.
+
+For more details see clause 8.3.2.2.
+
+**GBA-based remote security provisioning framework:** In this case, the role of the M2M enrolment function is performed by a GBA bootstrap server function. This framework uses 3GPP or 3GPP2 symmetric keys to authenticate the Enrollee and the M2M enrolment function (which is also a GBA BSF). The details are specified by 3GPP TS 33.220 [ETSI TS 133 220] and 3GPP2 S.S0109-A [TIA-1098-A]. For more details see clause 8.3.2.3.
+
+The remote security provisioning frameworks are comprised of the following phases:
+
+**MEF Client credential configuration:** The MEF Client and M2M enrolment function are provisioned with the bootstrap credential that the entity will use to authenticate itself to the other entity. This phase is also denoted as bootstrap credential configuration.
+
+**Frequency:** If the credential is a symmetric key, then this occurs once per association between the MEF Client and MEF. If the credential is a certificate, then this occurs once per MEF Client.
+
+**MEF Client service configuration:** The MEF Client is configured with the M2M enrolment function URI (for the purpose of routing the (D)TLS messages to the M2M enrolment function).
+
+Additionally, in the case of certificate-based remote security provisioning framework:
+
+The MEF Client is configured with the M2M enrolment function trust anchor CA certificates that the MEF Client will use to verify the M2M enrolment function.
+
+The M2M enrolment function is configured with the MEF Client's certificate information that the M2M enrolment function will use to verify the MEF Client's certificate. The necessary certificate information is dependent on the MEF Client's certificate's flavour, with details provided in clause 8.1.2.4 "Information needed for certificate authentication of another entity".
+
+**Frequency:** This occurs once per association between the MEF Client and MEF.
+
+NOTE 2 – In the case of the PPSK RSPF and GBA-Based RSPF, the MEF Client credential configuration and MEF Client Assignment would typically occur simultaneously. In the case of the Certificate-based RSPF, the MEF Client Assignment can be separate from MEF Client credential configuration.
+
+**Administrating stakeholder coordination with MEF** (details are not described in this specification). An administrating stakeholder authorizes the MEF to provide services to MEF Clients, oversees authorizing the distribution of symmetric keys, and oversees management of security-related MOs on the MEF Client. This typically occurs prior to the MEF handshake.
+
+**Frequency:** This occurs as requested by the administrating stakeholder.
+
+**Provisioning rocedure instructions:** The MEF Client either implicitly determines that it is to perform specific provisioning procedures, or is provided with explicit instructions. This triggers the MEF Client to perform the MEF handshake and initiate provisioning procedures in the Enrolment Exchange.
+
+**Frequency:** This occurs whenever the MEF Client is to initiate a set of provisioning procedures.
+
+MEF Client service configuration, administrating stakeholder coordination with MEF, and provisioning procedure instructions phases together are also denoted as Bootstrap Instruction Configuration.
+
+**MEF handshake:** Identification, authentication and security context establishment between the MEF Client and M2M enrolment function.
+
+**Frequency:** MEF handshake occurs whenever the MEF Client is triggered by provisioning procedure instructions.
+
+This phase is also denoted as bootstrap enrolment handshake.
+
+**Enrolment exchange:** After a successful MEF handshake in the GBA-based RSPF, the MEF Client and MEF have established a symmetric key from which keys can be derived for use with other AEs, CSEs or MAF. There is no further interaction between the MEF Client and MEF until the established symmetric key expires, at which point a new handshake is performed.
+
+After a MEF handshake in a PPSK-based and Certificate-based RSPFs, the MEF Client and MEF have established a secure channel which is used to protect the Enrolment Exchange used to provision credentials. The enrolment exchange is described in more detail in clause 8.3.4. The enrolment exchange can include following types of procedures: MEF Client registration, symmetric key provisioning, certificate provisioning, and device configuration. The sequence of Enrolment Exchange procedures can be controlled by the MEF Client command procedure which is outlined in clause 8.3.4 and specified in detail in clause 8.3.9.
+
+**Frequency:** This occurs whenever triggered by provisioning procedure instructions.
+
+**Usage of provisioned credentials:** The provisioned credentials can then be used in the following types of security frameworks:
+
+**Certificate-based SAEF, ESPrim and ESData:** Certificates and configured trust anchors, are used directly in certificate-based security frameworks with the other Nodes, AEs or CSEs. Trust anchors can also be configured separately, for example, using [ITU-T Y.4500.22].
+
+**PSK-Based SAEF, ESPrim and ESData:** The source MEF Client and MEF have established a usage-constrained symmetric key, corresponding key identifier and a list of authorized target MEF Client(s). The source MEF Client provides the key identifier to target MEF Client(s) in the security protocol. The target MEF Client(s) establishes a secure connection to the MEF, and performs the MEF key retrieval procedure (clause 8.3.5.2.8) to retrieve the symmetric key subject to authorization at the MEF.
+
+**MAF-Based SAEF, ESPrim and ESData:** If certificates are to be used for authentication to the MAF, then the certificate and trust anchors provisioned during certificate enrolment are used for mutual authentication of the MEF Client and MAF. If a symmetric key is used for mutual authentication, then the MEF Client and MEF have established a symmetric key and corresponding key identifier, with constraint for use with a specific MAF. The MEF Client (now acting as a MAF Client) performs the MAF Client Registration procedure, during which the MEF Client/MAF Client provides the key identifier to the MAF. The MAF establishes a secure connection to the MEF, and performs the MEF key retrieval procedure (clause 8.3.5.2.8) to retrieve the symmetric key subject to authorization at the MAF. The MAF provides a KmID for the MEF Client/MAF Client to use in subsequent MAF handshake procedures.
+
+NOTE 3 – If the Enrolment target hosts a ** resource, then the fetched credentials from the M2M enrolment function or the M2M authentication function needs to be stored after the Enrolment target establishes a secured connection with the Enrollee. A credential ID value in the format as mentioned in section 10.4 is generated using the credential used for the secured connection establishment and is added into the *applicableCredIDs* attribute of the ** resource.
+
+NOTE 4 – If the Enrollee-ID of the Enrollee is retrieved from the M2M enrolment function or the M2M authentication function, then the same is saved in the *allowedAEs* attribute of the ** resource.
+
+Figure 8.3.1.2-1 illustrates the phases of the remote security provisioning frameworks.
+
+
+
+The diagram illustrates three remote security provisioning frameworks: GBA-Based RSPF, Pre-provisioned Symmetric Key RSPF, and Certificate-Based RSPF. It details the roles of Enrollee (UE), MEF (BSF), MEF Client, and MEF, along with various configuration steps, provisioning procedures, and handshake processes.
+
+**GBA-Based RSPF (Enrollee = UE, MEF = GBA BSF)**
+
+- MEF Client Credential Configuration:** UE-to-BSF authentication is out of scope.
+- MEF Client Service Configuration:** MEF URI.
+- Administrating Stakeholder coordination with MEF (out of scope):** In UNSP (in GBA USS): Authorized list of Enrolment Target ID.
+- Provisioning Procedure Instructions:** (Out of scope)
+- MEF Handshake:** UN specific.
+- Enrolment Exchange:** Ks, B-TID.
+- Use of Provisioned Credential (Use of Symmetric Key shown):** B-TID/key identifier, Enrolment-Target-to-BSF authentication is out of scope, B-TID, Ks (int/ext)\_NAF.
+
+**Pre-provisioned Symmetric Key RSPF**
+
+- MEF Client Credential Configuration:** Kpm, KpmID.
+- MEF Client Service Configuration:** MEF URI.
+- Administrating Stakeholder coordination with MEF (out of scope):** Authorized list of Enrolment Target IDs and SUIDs.
+- Provisioning Procedure Instructions:** (Out of scope)
+- MEF Handshake:** KpmID.
+- Enrolment Exchange:** Provisioning Procedures.
+- Use of Provisioned Credential (Use of Symmetric Key shown):** B-TID/key identifier, Enrolment-Target-to-BSF authentication is out of scope, B-TID, Ks (int/ext)\_NAF.
+
+**Certificate-Based RSPF**
+
+- MEF Client Credential Configuration:** MEF Client Private Key, Cert + (O)Chain; MEF Private Key, MEF Cert + (O)Chain.
+- MEF Client Service Configuration:** MEF URI, MEF trust anchors; MEF Client Cert Information.
+- Administrating Stakeholder coordination with MEF (out of scope):** Authorized list of Enrolment Target IDs and SUIDs.
+- Provisioning Procedure Instructions:** (Out of scope)
+- MEF Handshake:** MEF Client Cert + (O) Chain; MEF Cert + Chain.
+- Enrolment Exchange:** Provisioning Procedures; (o) Cert issuance.
+- Use of Provisioned Credential (Use of Symmetric Key shown):** B-TID/key identifier, Enrolment-Target-to-BSF authentication is out of scope, B-TID, Ks (int/ext)\_NAF; MEF Handshake, RelativeKeyID, Key Value.
+
+**Legend:**
+
+- Communication of [parameters]:** [parameter] →
+- Internal generation of [parameters]:** ([parameter])
+- A procedure involving interaction:** [procedure] →
+- Mutual authentication:** ↔
+- Configuration of [parameters] by other mechanisms:** [parameters]
+- Informative text:** text
+
+Figure 8.3.1.2-1: Overview of the remote security provisioning frameworks supported by oneM2M. The diagram illustrates three main frameworks: GBA-Based RSPF, Pre-provisioned Symmetric Key RSPF, and Certificate-Based RSPF. It details the roles of Enrollee (UE), MEF (BSF), MEF Client, and MEF, along with various configuration steps, provisioning procedures, and handshake processes. A legend at the bottom explains the notation for communication, internal generation, and configuration.
+
+Y.4500.3(23)
+
+Figure 8.3.1.2-1 – Overview of the remote security provisioning frameworks supported by oneM2M
+
+### 8.3.2 Detailed remote security provisioning framework
+
+#### 8.3.2.1 Pre-provisioned symmetric key remote security provisioning framework
+
+This clause describes the pre-provisioned symmetric key remote security provisioning framework. The bootstrap credential for this framework is a long-term symmetric key that has been pre-
+
+provisioned into the Enrolee and M2M enrolment function; this key is called a pre-provisioned symmetric Enrolee key and is denoted *Kpm*.
+
+Figure 8.3.2.1-1 illustrates the sequence of events when using the pre-provisioned symmetric Enrolee key remote security provisioning framework.
+
+
+
+The diagram illustrates the sequence of events for remote security provisioning using a pre-provisioned symmetric Enrolee key. It involves three main entities: Enrolee, M2M Enrolment Function, and Enrolment Target (MAF, Enrolee B).
+
+**Bootstrap Credential Configuration:** This phase involves pre-provisioning the Enrolee key (*Kpm*) and Enrolee key identifier (*KpmID*) to both the Enrolee and the M2M Enrolment Function. The Enrolment Target is already configured with its identity.
+
+**Bootstrap Instruction Configuration:** The Enrolee is configured with the MEF URI, and the M2M Enrolment Function is configured with a list of authorized Enrolment Target ID, Enrolment Expiry, and the Enrolee's assigned CSE-ID or AE-ID.
+
+**Bootstrap Enrolment Handshake:** A TLS\_PSK or TLS\_DHE\_PSK ciphersuite is used. The TLS psk\_identity is set to *KpmID*, and the TLS psk is set to *Kpm*. The (D)TLS handshake indicates Key Export is required, as per RFC 5705. Mutual authentication is performed using the pre-provisioned key (*Kpm*). The Enrolee generates a MIC for session information using *Kpm*, the MEF verifies the MIC using *Kpm*, the MEF generates a MIC for session information using *Kpm*, and the Enrolee verifies the MIC using *Kpm*.
+
+**Enrolment Exchange:** The Enrolee and M2M Enrolment Function exchange enrolment information.
+
+**Use of Provisioned Credential:** The Enrolee and M2M Enrolment Function use the provisioned credential for remote provisioning.
+
+**Key:** [parameters] Configuration of [parameters] by other mechanisms. Mutual authentication. *text* Informative Text.
+
+Y.4500.3(23)
+
+Sequence diagram showing the interaction between Enrolee, M2M Enrolment Function, and Enrolment Target (MAF, Enrolee B) through Bootstrap Credential Configuration, Bootstrap Instruction Configuration, Bootstrap Enrolment Handshake, Enrolment Exchange, and Use of Provisioned Credential.
+
+Figure 8.3.2.1-1 – The sequence of events when using the pre-provisioned symmetric Key remote security provisioning framework
+
+**Bootstrap credential configuration:** The pre-provisioned symmetric Enrolee key (*Kpm*) and the corresponding pre-provisioned symmetric Enrolee key identifier, denoted *KpmID*, are pre-provisioned to both entities. The Enrolee is also pre-provisioned with the M2M enrolment function's URI (MEF URI), for the purpose of routing the (D)TLS exchange.
+
+NOTE 1 – This pre-provisioning (by definition) uses mechanisms not specified by oneM2M.
+
+**Bootstrap instruction configuration:** The Enrolee and M2M enrolment function are configured with the information needed for authorizing the remote provisioning:
+
+The Enrolee is configured with (or otherwise obtains) the following arguments to initiate remote provisioning:
+
+The Enrolment target identity: Identifying the Enrolment target for which the Enrolee is to be provisioned.
+
+The Enrollee associates these arguments with the M2M enrolment function. The M2M enrolment function can be identified to the Enrollee using the pre-provisioned symmetric Enrollee key Identifier (KpmID) or the M2M enrolment function URI.
+
+**Enrolment Expiry:** Life Time to be applied for the key generated, i.e., Ke as mentioned in clause 10.7.
+
+M2M enrolment function is configured with the following arguments to authorize the M2M enrolment function to remotely provision the Enrollee for an Enrolment target:
+
+The Enrolment target Identity: Identifying the Enrolment target for which the Enrollee is to be provisioned.
+
+Enrollee's assigned CSE-ID or AE-ID (Enrollee-ID). The M2M enrolment function is to provide this entity identity for the Enrollee with the Km or Kpsa to the Enrolment target, when requested by the Enrolment target.
+
+The M2M enrolment function associates these arguments with an Enrollee. The Enrollee can be identified to the M2M enrolment function using the pre-provisioned symmetric Enrollee key Identifier (KpmID).
+
+Enrolment Expiry: Life Time to be applied for the keys generated, i.e., Ke. The M2M enrolment function may provide this lifetime along with Km or Kpsa to the Enrolment target.
+
+**Bootstrap security handshake:** The Enrollee and M2M enrolment function shall perform a (D)TLS-PSK handshake [IETF RFC 4279] to establish a secure session.
+
+The "psk\_identity" parameter [IETF RFC 4279] is set to the value of the pre-provisioned symmetric Enrollee key Identifier (KpmID).
+
+The "psk" parameter [IETF RFC 4279] is set to the value of the pre-provisioned symmetric Enrollee key (Kpm).
+
+The (D)TLS cipher suite profile is specified in clause 10.2.2 "TLS and DTLS ciphersuites for TLS-PSK-based security frameworks".
+
+**Enrolment key generation:** The enrolment key (Ke), RelativeKeID, and Enrolment Re-authentication Key (Ker) are generated from the (D)TLS session secrets by the Enrollee and M2M enrolment function using TLS Key Export ([IETF RFC 5705]), as described in clause 10.3.1 "TLS Key Export Details".
+
+The enrolment key Identifier (KeID) is generated from the RelativeKeID and the M2M enrolment function's FQDN by the Enrollee and M2M enrolment function, as described in clause 10.3.4 "Generating KeID".
+
+The Enrollee and M2M enrolment function store the enrolment key (Ke) and enrolment key identifier (KeID), and the enrolment re-authentication key (Ker).
+
+NOTE 2 – The enrolment key generation for the pre-provisioned symmetric Enrollee key remote security provisioning framework is identical to the enrolment key generation for the certificate-based remote security provisioning framework.
+
+**Enrolment exchange:** The Enrollee shall compose a request with a payload containing the parameters and values shown in Table 8.3.2.1-1. These parameters could be serialized using, for example, XML or JSON formats.
+
+**Table 8.3.2.1-1 – Initial request from Enrollee to MEF**
+
+| Parameter Name | Parameter Value |
+|----------------------------------|-----------------|
+| Certificate Enrolment Indication | |
+| MAF Enrolment Indication | |
+| Remote Management Indication | |
+
+These indications indicate whether or not the Enrollee is prepared to execute these procedures if instructed by the MEF. The Enrollee shall send the request to the MEF's Enrolment Exchange URI.
+
+The MEF shall process the request against the preferences for this Enrollee (see pre-conditions) to determine how the Enrollee is to be provisioned.
+
+NOTE 3 – The present specification does not define this processing.
+
+If the Enrollee does not need to be remotely provisioned for certificate-based authentication with Enrolment targets, then the MEF shall proceed to step 10. To remotely provision the Enrollee for certificate-based authentication with Enrolment targets, the MEF shall compose a response with a payload containing the parameters and values shown in Table 8.3.2.1-3. These parameters may be serialized using, for example, XML or JSON formats.
+
+**Table 8.3.2.1-2 – Response from MEF to Enrollee triggering certificate enrolment**
+
+| Parameter Name | Parameter Value |
+|------------------|------------------------------------|
+| Instruction Type | |
+| URI | |
+
+The MEF shall send the response to the Enrollee.
+
+If the MEF instructs the Enrollee to perform certificate enrolment, then the Enrollee shall perform Certificate Enrolment procedure as described in clause 8.3.3.1.
+
+When certificate enrolment is complete, then the Enrollee shall send a request to the MEF indicating success.
+
+If the Enrollee does not need to be remotely enrolled with a M2M authentication function (MAF), then the MEF shall proceed to step 13. To remotely enrol the Enrollee with a MAF, the MEF shall compose a response with a payload containing the parameters and values shown in Table 8.3.2.1-3. These parameters may be serialized using, for example, XML or JSON formats.
+
+**Table 8.3.2.1-3 – Response from MEF to Enrollee triggering remote enrolment with a MAF**
+
+| Parameter Name | Parameter Value |
+|----------------------------------------|-------------------------------------------------------------------------------------|
+| Instruction Type | Indicating MAF Enrolment |
+| Credential Type | |
+| MAF Key Registration URI | The URI through which MAF Key Registration is performed |
+| MAF Key Retrieval URI | The URI through which MAF Key Retrieval is performed |
+| (Optional) MAF Client Registration URI | The URI from which the MAF-assigned KmID is retrieved |
+| (Optional) trust anchors | Trust anchor CA certificates for MAF certificate |
+| (Optional) Lifetime | Lifetime when the symmetric key shared with MAF will expire |
+
+The MEF shall send the response to the Enrollee.
+
+Upon receipt of this message, the Enrollee shall perform the MAF Client Registration procedure as described in clause 8.8.2.4. This procedure includes the "Use of remote provisioned credential".
+
+When the MAF Client Registration procedure is complete, then the Enrollee shall send a message to the MEF indicating success. The MEF may return to step 10, to provision the Enrollee for another MAF.
+
+If the Enrollee does not need to be remotely provisioned for remote management server to contact for further configuration, then the MEF shall proceed to step 15. To remotely provision the Enrollee for remote management server, the MEF shall compose a response with a payload containing the parameters and values shown in Table 8.3.2.1-4. These parameters may be serialized using, for example, XML or JSON formats.
+
+**Table 8.3.2.1-4 – Response from MEF to Enrollee provisioning the Enrollee for a remote management server**
+
+| Parameter Name | Parameter Value |
+|------------------|----------------------------------------|
+| Instruction Type | |
+| URI | |
+
+The MEF shall send the response to the Enrollee.
+
+The Enrollee shall send a message to the MEF acknowledging that it received the instruction. The Enrollee shall initiate contact with the remote management server after the TLS/DTLS session with the MEF is closed.
+
+The MEF shall send a response indicating the end of the enrolment exchange.
+
+The MEF shall close the TLS/DTLS session.
+
+**Use of remotely provisioned credential:** In the case where the Enrolment target is an MAF, the Enrollee is instructed to contact a specific MAF with which to perform Enrolment.
+
+If the Enrollee is remotely provisioned with a certificate and trust anchors during the enrolment exchange, then the Enrollee may use these in security protocols with the Enrolment target. Otherwise, the Enrollee shall use the KeID in security protocols with the Enrolment target as described in the remaining steps.
+
+The Enrollee shall provide KeID as a symmetric key identifier in the security protocol.
+
+The Enrolment target checks to see if it has the credentials associated with KeID and if it does not have the credentials, then the Enrolment target prepares to fetch the credentials from the MEF.
+
+The Enrolment target has been pre-configured with the MEF's FQDN/URL and in order to establish a secured connection, it either uses the PSK credentials or certificate which has also been pre-configured between the Enrolment target and the MEF. In the case of an Enrollee B, an enrolment re-authentication key (Ker) established with the MEF may be used for authentication, or a certificate provisioned by the MEF may be used for authentication.
+
+If the Enrolment target wishes to fetch any credential information from the MEF, a retrieve request to MEF with the target URI set to /fetchCredentials// shall be formed, where is the SUID for the particular usage of the symmetric key. The Originator field of the retrieve request (e.g., X-M2M-Origin header when using HTTPS) contains the ID (AE-ID/CSE-ID/MAF-ID) of the Enrolment target/MAF.
+
+Upon receiving the retrieve request, the MEF performs the following:
+
+The MEF extracts the KeID from the target URI. The MEF shall retrieve the enrolment key (Ke) for the corresponding KeID, as per the enrolment key generation process defined in clause 8.3.1.2. If the MEF is unable to retrieve this information, a response shall be sent with an error as per step 'f)vii'.
+
+The Enrolment target's ID is extracted from the Originator field included in the retrieve request, and the security usage identifier (SUID) is extracted from the target URI. The MEF shall validate if the particular Enrolment target is allowed to fetch credentials for the Enrolee with the particular security usage identifier.
+
+If the validation fails, a response shall be sent as per step 'f)vii'. If the validation is successful, then the key shall be generated with the enrolment key (Ke) retrieved in step 'f)i' as mentioned in clause 10.3.7.
+
+The Enrolee ID corresponding to the KeID is determined by the MEF.
+
+The Enrolee lifetime parameter for the KeID is determined by the MEF. This is a pre-configured value which indicates the validity period of the credentials that are provided to the Enrolment target/MAF.
+
+A response shall be composed along with a payload containing the parameters and values shown in Table 8.3.2.1-5. These parameters may be serialized using, for example, XML or JSON formats.
+
+**Table 8.3.2.1-5 – Success Response from the MEF to Enrolment target**
+
+| Parameter Name | Parameter Value |
+|----------------|-----------------------------|
+| Status | True |
+| Credential | |
+| EnroleeID | |
+| Lifetime | |
+
+'Upon any errors in the above steps, the MEF shall compose a response with the parameters shown in Table 8.3.2.1-6.
+
+**Table 8.3.2.1-6 – Failure Response from the MEF to Enrolment target**
+
+| Parameter Name | Parameter Value |
+|----------------|------------------|
+| Status | False |
+| ErrorString | |
+
+The Enrolment target upon receiving the credentials proceeds to use the credentials in the security protocol with the Enrolee.
+
+#### **8.3.2.2 Certificate-based remote security provisioning framework**
+
+This clause describes the Certificate-based remote security provisioning framework. The bootstrap credentials for this framework are certificates based on asymmetric key pairs.
+
+NOTE 1 – Long term asymmetric private keys can pose a security risk if not adequately secured, and for this reason it is recommended that they are stored in secure environments.
+
+Figure 8.3.2.2-1 illustrates the sequence of events when using the certificate-based remote security provisioning framework.
+
+
+
+The diagram illustrates the sequence of events for a certificate-based remote security provisioning framework involving three entities: Enrolee, M2M Enrolment Function, and Enrolment Target (MAF, Enrolee B).
+
+**Bootstrap Credential Configuration:** The Enrolee and M2M Enrolment Function are configured with their respective private keys and certificates. The Enrolment Target is already configured with its identity.
+
+**Bootstrap Instruction Configuration:** The Enrolee and M2M Enrolment Function are configured with their respective URIs and certificate information. The Enrolment Target is configured with its identifier and the Enrolee's certificate information.
+
+**Bootstrap Enrolment Handshake:** The Enrolee and M2M Enrolment Function perform a TLS handshake. The Enrolee sends its certificate and chain, and the M2M Enrolment Function sends its certificate and chain. The Enrolee verifies the M2M Enrolment Function's certificate, and the M2M Enrolment Function verifies the Enrolee's certificate. The Enrolee signs session information using its private key, and the M2M Enrolment Function signs session information using its private key. The Enrolee verifies the M2M Enrolment Function's signature, and the M2M Enrolment Function verifies the Enrolee's signature.
+
+**Enrolment Key Generation as for PPSK RSPF:** The Enrolee and M2M Enrolment Function generate enrolment keys.
+
+**Enrolment Exchange as for PPSK RSPF:** The Enrolee and M2M Enrolment Function exchange enrolment keys.
+
+**Use of Provisioned Credential as for PPSK RSPF:** The Enrolee and M2M Enrolment Function use the provisioned credentials for remote security provisioning.
+
+| | | | |
+|------------|----------------------------------------------------------------|-------------------------|------------------------------|
+| Key | [parameters] Configuration of [parameters] by other mechanisms | ↔ Mutual authentication | text Informative Text |
+|------------|----------------------------------------------------------------|-------------------------|------------------------------|
+
+Sequence diagram showing the events between an Enrolee, M2M Enrolment Function, and Enrolment Target (MAF, Enrolee B) for a certificate-based remote security provisioning framework. The process includes Bootstrap Credential Configuration, Bootstrap Instruction Configuration, Bootstrap Enrolment Handshake, Enrolment Key Generation, Enrolment Exchange, and Use of Provisioned Credential.
+
+Y.4500.3(23)
+
+**Figure 8.3.2.2-1 – The sequence of events when using the certificate-based remote security provisioning framework**
+
+**Bootstrap credential configuration:** For this remote security provisioning framework, the Enrolee and M2M enrolment function authenticate each other using a public key certificate. The bootstrap credentials for the Enrolee and M2M enrolment function are pre-provisioned as described in clause 8.1.2.3 "Credential configuration for certificate-based security frameworks".
+
+NOTE 2 – The identities of the M2M enrolment function and Enrolment target are assumed to have been configured prior to this phase.
+
+**Bootstrap instruction configuration:** In addition to the information identified in clause 8.3.1.2, the Enrolee and M2M enrolment function are configured with the information needed for authorizing the remote provisioning:
+
+The Enrollee is configured with (or otherwise obtains) the following arguments to initiate remote provisioning:
+
+Information needed for certificate authentication of the M2M enrolment function using an MEF certificate as described in clause 8.1.2.4 "Information needed for certificate authentication of another Entity".
+
+The M2M enrolment function is configured with the following arguments describing Enrollee authorized to perform security handshake with M2M enrolment function:
+
+Information needed for certificate authentication of the Enrollee, as described in clause 8.1.2.4 "Information needed for certificate authentication of another Entity".
+
+**Bootstrap security handshake:** The Enrollee and M2M enrolment function perform a (D)TLS handshake as specified in TLS v1.2 [IETF RFC 5246] and DTLS 1.2 [IETF RFC 6347] specifications to establish a secure session.
+
+Each entity (Enrollee and M2M enrolment function) verifies the other entity's certificate as described in clause 8.1.2.5 "Certificate verification".
+
+The Enrollee and M2M enrolment function authenticate each other using the validated certificates as specified in TLS 1.2 [IETF RFC 5246] and DTLS 1.2 [IETF RFC 6347] specifications.
+
+The (D)TLS cipher suite profile is specified in clause 10.2.3 "TLS and DTLS ciphersuites for Certificate-Based security frameworks".
+
+**Enrolment key generation, enrolment exchange and use of provisioned credentials:** The steps are identical to those shown for "Enrolment key generation", "Enrolment exchange" and "Use of provisioned credentials" in clause 8.3.2.1 "Pre-provisioned symmetric key remote security provisioning framework".
+
+#### 8.3.2.3 GBA-based remote security provisioning framework
+
+To share a long term master credential ( $K_m$ ) or provisioned secure connection key ( $K_{psa}$ ) between an application service/middle node and an Enrolment target, the M2M application service/middle node shall perform a successful GBA bootstrapping and derive a NAF key ( $K_{s\_ext/int\_NAF}$ ). This NAF key is the master credential ( $K_m$ ) or provisioned secure connection key ( $K_{psa}$ ).
+
+See Figure 8.3.2.3-1.
+
+
+
+```
+
+sequenceDiagram
+ participant Enrollee
+ participant MEF as M2M Enrolment Function
+ participant ET as Enrolment Target (MAF, Enrollee B)
+
+ Note over Enrollee, MEF: Bootstrap Credential Configuration
+ Note over Enrollee, MEF: Credentials are configured as described in 3GPP
+ Note over ET: Enrolment Target is already configured with its identity
+
+ Note over Enrollee, MEF: Bootstrap Instruction Configuration
+ Note over Enrollee: Enrollee configured with Enrolment Target ID
+ Note over MEF: MEF configured with Enrollee's GUSS
+
+ Note over Enrollee, MEF: Bootstrap Enrolment Handshake
+ Note over Enrollee, MEF: GBA Bootstrapping
+ Enrollee->>MEF: Ks, B-TID
+
+ Note over Enrollee, MEF: Enrolment Key Generation
+ Note over Enrollee: Ke = Ks, KeId = B-TID
+ Note over MEF: Ke = Ks, KeId = B-TID
+
+ Note over Enrollee, ET: Integration to Association Security Handshake
+ Enrollee->>MEF: KeId
+ MEF<->>ET: Mutual Authentication
+ MEF->>ET: GET Request (KeId)
+ ET->>MEF: GET Response (Km/Kpsa, Lifetime, USS)
+ Note over Enrollee: Derive Km/Kpsa (NAF-key) from Ke and Enrolment Target-ID
+ Note over MEF: Derive Km/Kpsa (NAF-key) from Ke and Enrolment Target-ID
+ Enrollee<->>MEF: Mutual Authentication
+ Note over Enrollee: Set KmId/KpsaId = KeId
+ Note over MEF: Set KmId/KpsaId = KeId
+
+```
+
+| | | | |
+|------------|----------------|-------------------------------------|-------------------------|
+| Key | [parameters] → | Communication of [parameters] | ↔ Mutual authentication |
+| | (parameters) | Internal generation of [parameters] | |
+
+Sequence diagram showing the GBA-Based remote security provisioning framework between an Enrollee, M2M Enrolment Function, and Enrolment Target.
+
+Y.4500.3(23)
+
+NOTE – The following font colours differentiate the general topic that the text relates to:
+
+Black text contains remote security provisioning – Framework-independent details.
+
+*Blue italic text highlights details specific to this particular remote security provisioning framework.*
+
+*Purple italic text highlights technical actions that may include steps not specified by oneM2M.*
+
+**Figure 8.3.2.3-1 – The sequence of events when using the GBA-Based remote security provisioning framework**
+
+**Bootstrap credential configuration:** The credentials configuration for Enrollee and M2M enrolment function (MEF) is described in 3GPP specification 3GPP TS 33.220 [ETSI TS 133 220]. The MEF plays the role of the BSF. The credentials used to perform mutual authentication between Enrollee and MEF are UNSP specific.
+
+**Bootstrap instruction configuration:** The Enrollee, the MEF and the Enrolment target shall be configured with the information needed for authorizing the remote provisioning:
+
+The Enrollee shall be configured with the enrolment target identity: identifying the Enrolment target for which the Enrollee is to be provisioned.
+
+The MEF shall be configured with the Enrollee-ID and the enrolment target identity:
+
+The enrolment target identity: Identifying the Enrolment target for which the Enrollee (authenticated using the GBA) is to be provisioned.
+
+The Enrollee's assigned CSE-ID or AE-ID (Enrollee-ID), The M2M enrolment function is to provide this entity identity for the Enrollee with the Km or Kpsa to the Enrolment target, when requested by the Enrolment target.
+
+Enrollee's GBA user security settings (GUSS) enables indicating if Enrollee is allowed to establish a NAF-specific key with the Enrolment target or/and if the BSF can distribute a NAF specific key to the Enrolment target.
+
+**Bootstrap enrolment handshake:** The bootstrap enrolment handshake enables the establishment of a GBA bootstrapped key (Ks) shared between the Enrollee and the MEF with associated bootstrapping transaction identifier (B-TID) and key lifetime, by performing to the GBA bootstrapping phase described in 3GPP TS 33.220 [ETSI TS 133 220].
+
+If a bootstrapped key Ks is already shared between Enrollee and the MEF and still valid, then the bootstrap enrolment handshake phase is not needed. The Enrolment Key Generation phase can take place with the existing GBA Bootstrapped key Ks.
+
+**Enrolment key generation phase:** The enrolment key (Ke) shall be the GBA Bootstrapped key (Ks) established during the bootstrap enrolment handshake.
+
+The enrolment key identifier (Ke-ID) shall be the bootstrapping transaction identifier (B-TID) generated during the bootstrap enrolment handshake.
+
+**Integration to the association security handshake:** The Enrollee and the Enrolment target shall establish the master credential (Km) or the provisioned secure connection key (Kpsa) thanks to procedures described in 3GPP TS 33.220 [ETSI TS 133 220] using the enrolment key (Ke) as GBA bootstrapped key Ks and the enrolment key identifier (Ke-ID) as B-TID. The Enrolment target plays the role of a NAF.
+
+The [ETSI TS 133 220] the Enrollee's user security settings (USS) from the MEF/BSF:
+
+The FQDN of the NAF, used as input to generate the Ks\_(int/ext)\_NAF, shall be set as follows:
+
+- In the case where the Enrolment target is an M2M authentication function, then the FQDN of the NAF is set to the FQDN of the M2M authentication function.
+- In the case where the Enrolment target is a CSE, then the FQDN of the NAF is set to the public domain name representation of the CSE-ID as defined in [ITU-T Y.4500.1].
+
+In case of GBA\_ME, NAF-specific key is Ks\_NAF.
+
+In case of GBA\_U, NAF-specific keys are Ks\_int\_NAF and Ks\_ext\_NAF.
+
+The master credential (Km) or the provisioned secure connection key (Kpsa) shall be the NAF-specific key:
+
+In case of GBA\_ME, Km/Kpsa = Ks\_NAF.
+
+In case of GBA\_U, $Km/Kpsa = Ks\_int\_NAF$ if HTTP Client application resides in the UICC. Otherwise, $Km/Kpsa = Ks\_ext\_NAF$ .
+
+The Enrollee and the Enrolment target shall set the master credential identifier (KmID) or the provisioned secure connection key Identifier (KpsaID) to the value of KeID.
+
+Enrollee and Enrolment target shall perform (D)TLS-PSK handshake ([IETF RFC 4279]) with the master credential (Km) or provisioned secure connection key (Kpsa) as pre-shared key in compliance with clause 10.2.2 "TLS and DTLS ciphersuites for TLS-PSK-based security frameworks". If UICC is used as secure environment supporting remote security provisioning, GBA-U with $Km/Kpsa = Ks\_int\_NAF$ shall be used for authentication and key exchange.
+
+### **8.3.3 This clause is intentionally left blank**
+
+### **8.3.4 Enrolment exchange**
+
+#### **8.3.4.1 Enrolment exchange procedures**
+
+The following procedures may occur within an enrolment exchange:
+
+- MEF Client Registration procedures.
+- Symmetric key provisioning procedures.
+- Certificate provisioning procedure.
+- Device configuration procedures, per [ITU-T Y.4500.22] can be applied, with the MEF interacting with a DM server and MEF Client interacting with the DM Client on the managed entity.
+- MEF Client command procedures (i.e., CRUD procedures targeting at a ** resource), which enable the MEF to control the sequence of enrolment exchange procedures.
+
+The clauses below describe triggering mechanisms specific to each set of procedures. Alternatively, other mechanisms, not specified by oneM2M, can be used to trigger any enrolment exchange procedure, with the condition that such mechanisms provide a satisfactory level of security. Example mechanisms include pre-configuration and manual configuration.
+
+#### **8.3.4.2 MEF client registration**
+
+MEF Client Registration procedures are specified in clauses 8.3.5.2.3, 8.3.5.2.4, 8.3.5.2.5, and 8.3.5.2.6.
+
+MEF Client Registration procedures can only be performed within an enrolment exchange.
+
+MEF Client Registration procedures can be triggered by the following oneM2M-specified mechanisms:
+
+**Procedures triggered using device configuration:** Device configuration, specified in [ITU-T Y.4500.22], can trigger MEF registration procedures:
+
+Adding a [*MEFClientRegCfg*] MO triggers the MEF Client to perform the MEF Client Registration procedure, specified in clause 8.3.5.2.3.
+
+Deleting a [*MEFClientRegCfg*] MO triggers the MEF Client to stop using the associated MEF Client registration, delete any credentials associated with that MEF Client registration and end the associated MEF Client registration on the MEF. The MEF achieves the final step by performing the MEF Client de-registration procedure, specified in clause 8.3.5.2.6.
+
+#### **8.3.4.3 Symmetric key provisioning**
+
+Symmetric key provisioning procedures are specified in clauses 8.3.5.2.7, 8.3.5.2.8, 8.3.5.2.9, and 8.3.5.2.10.
+
+These procedures can only be performed within an enrolment exchange.
+
+These procedures can be triggered by the following oneM2M-specified mechanisms:
+
+**Procedures triggered using a "MO\_Node" MEF Client command:** Device provisioning ([ITU-T Y.4500.22]) can be used to configure MEF Client with an [*authenticationProfile*] MO which has a child [*MEFClientRegCfg*] MO node to instruct the MEF Client that symmetric key provisioning will be used for credentials used in that [*authenticationProfile*] MO. If a MEF Client receives of an "MO\_NODE" MEF Client command matching the path of such a [*authenticationProfile*] MO, then this can trigger a symmetric key provisioning procedure according to the information elements in the MEF Client command and the current values of the parameters in these MO nodes.
+
+NOTE – Using device configuration to update or delete the [*authenticationProfile*] MO and/or its child [*MEFClientRegCfg*] MO node does not implicitly trigger a symmetric key provisioning procedure. The update or delete will not take effect until a symmetric key provisioning procedure is triggered by some other mechanisms.
+
+**Procedures triggered by an expiry of a MEF key registration:** If the MEF Client previously (successfully) executed an MEF Key registration procedure under the control of an [*authenticationProfile*] MO on the MEF Client, and the current time is greater than the *expirationTime* of the [*authenticationProfile*] resource, and if the current time is close to or greater than the *expirationTime* of the most recent MEF key registration, then this can trigger the MEF Client to perform MEF key registration. The criteria for being "close to the *expirationTime*" is left up to the implementation of the MEF Client.
+
+Procedures triggered by receiving, within a oneM2M security protocol, a symmetric key identifier whose FQDN matches the MEF's FQDN. If a target MEF Client receives, within a oneM2M security protocol, a symmetric key identifier whose FQDN matches the MEF's FQDN, then this can trigger the target MEF Client to execute the MEF key retrieval procedure specified in clause 8.3.5.2.8. See steps 6 and 7 in clause 8.3.5.1.
+
+#### 8.3.4.4 Certificate provisioning
+
+Certificate provisioning procedures are specified in clause 8.3.6.
+
+These procedures can only be performed within an enrolment exchange.
+
+These procedures can be triggered by the following oneM2M-specified mechanisms:
+
+**Procedures triggering using MEF Client command procedure:** If the MEF Client receives a MEF Client command identifying a certificate provisioning procedure, then this triggers the MEF Client to execute the certificate provisioning procedure using the information elements included in the command.
+
+#### 8.3.4.5 Device configuration
+
+Device configuration is specified in [ITU-T Y.4500.22].
+
+Device configuration can be performed within an Enrolment Exchange with a MEF, or in a DM session with other DM servers (separate from an enrolment exchange). Clause 8.3.8 specifies use of device configuration within an enrolment exchange with a MEF.
+
+Device configuration can be triggered by the following oneM2M-specified mechanisms:
+
+**Procedures triggered using MEF Client command procedure:** If the MEF Client receives a MEF Client command identifying the device configuration procedure, then this triggers the MEF Client to execute a device configuration session using the information elements included in the command.
+
+#### 8.3.4.6 MEF client command
+
+MEF Client command procedures are specified in clause 8.3.9.
+
+MEF Client command procedures can only be performed within an enrolment exchange.
+
+MEF Client command procedures can be triggered by the following oneM2M-specified mechanisms:
+
+**Procedures triggered following MEF Client registration procedure:** A MEF Client command retrieve shall be executed following an MEF Client registration procedure (other than MEF Client de-registration).
+
+**Procedures triggered according to *retryDuration*:** When the MEF issues a NO\_MORE\_COMMANDS MEF Client command, then the *cmdArgs* includes a *retryDuration* providing the duration after which the MEF Client attempts MEF Client command retrieve. A *retryDuration* is cancelled whenever the MEF Client successfully interacts with the MEF prior to this time. For further details see clause 8.3.9.6.
+
+**Procedures triggered following an attempt to perform an issued MEF Client command:** If the MEF Client has attempted executing a previously issued MEF Client command, then the MEF Client shall perform the MEF Client command update procedure to report on the status of that execution. The MEF can issue a MEF Client command in the response.
+
+An example of a MEF Client command procedure is illustrated in Figure 8.3.4.6-1.
+
+
+
+```
+sequenceDiagram
+ participant MEF_Client as MEF Client
+ participant MEF as MEF
+ Note over MEF: 2. Create resource
+ Note over MEF: 3. Create child resource
+ MEF_Client->>MEF: 1. MEF Client Registration request
+ MEF-->>MEF_Client: 4. MEF Client Registration response
+ MEF_Client->>MEF: 5. MEF Client Command Retrieve request
+ Note over MEF: 6. Prepare response
+ MEF-->>MEF_Client: 7. MEF Client Command Retrieve response
+ Note over MEF_Client: 8. Execute the command derived from
+ MEF_Client->>MEF: 9. MEF Client Command Update request
+ Note over MEF: 10. Update child resource
+ MEF-->>MEF_Client: 11. MEF Client Command Update response
+```
+
+Y.4500.3(23)
+
+Sequence diagram illustrating the MEF Client command procedure between MEF Client and MEF.
+
+**Figure 8.3.4.6-1 – Example MEF Client command procedure**
+
+The MEF Client sends an MEF Client registration request.
+
+The MEF creates a ** resource.
+
+If the MEF wants to issue a MEF Client command it creates a ** resource as child of the ** resource.
+
+The MEF sends the MEF Client registration response which includes a representation of the ** resource, including the *childResource* reference, whose value represents the resource ID of a ** resource.
+
+The presence of the *childResource* reference triggers the MEF Client to retrieve the ** resource. The MEF Client sends a MEF Client Command Retrieve request to the MEF.
+
+The MEF forms the response.
+
+The MEF returns a MEF Client command retrieve response which includes the ** resource.
+
+The MEF Client parses the received response and executes the command included therein.
+
+After execution of the command, the MEF Client reports the result to the MEF by a MEF Client Command Update Request.
+
+The MEF updates the **. If the MEF has a new command for the MEF Client it indicates a trigger in the representation of the ** resource.
+
+The MEF sends the MEF Client command update response. If the received response includes another MEF Client command, steps 8 to 11 are repeated.
+
+### 8.3.5 Symmetric key provisioning details
+
+#### 8.3.5.1 Introduction
+
+Clause 8.3.5 describes the common details and procedures for using an RSPF to provision symmetric keys.
+
+These frameworks use a MEF to provide authentication and distribution of symmetric key for use by a source end-point initiating establishing the symmetric key, and one or more target end-points. Table 8.3.5.1-1 "Mapping of generic MEF framework roles to specific MEF-based framework roles" MEF Clients can retrieve the output symmetric key from the MEF. The MEF provides its services on behalf of administrating stakeholders such as M2M SPs or third party M2M trust enablers (MTE). An administrating stakeholder authorizes the MEF to provide services to MEF Clients, and oversees authorizing the distribution of symmetric keys. Table 8.3.5.1-1 describes the mapping of source MEF Client and target MEF Client to roles in the specific MEF-based frameworks, and the allowed number of target MEF Clients.
+
+**Table 8.3.5.1-1 – Mapping to specific security frameworks**
+
+| MEF-Based security framework | Source MEF Client | Target MEF Client | Number of target MEF Clients | Output Symmetric Key |
+|-----------------------------------------------------|-------------------------|-------------------------|------------------------------|--------------------------------|
+| MAF security frameworks | MAF Client | MAF | 1 | M2M Master Key (Km) |
+| Security Association Establishment Framework (SAEF) | Entity A | Entity B | 1 | M2M secure connection key (Kc) |
+| End-to-End Security of Primitives (ESPrim) | Originator | Receiver | 1 | pairwiseESPrimKey |
+| End-to-End Security of Data (ESData) | Source ESData end-point | Target ESData end-point | 1..n | ESData Key |
+
+Clause 8.3.5 specifies *MEF Procedures* between the MEF Clients and associated messages. The operation and management of the MEF, beyond the details provided for the MEF Procedures, are not specified in this Recommendation.
+
+The general sequence for using the MEF procedures is shown in Figure 8.3.5.1-1 and described as follows:
+
+- Each MEF Client shall separately establish credentials for mutual authentication with the MEF as described in **MEF Client credential configuration** (clause 8.3.7.1).
+- Each MEF Client shall be separately configured to register on the MEF with a specific administrating stakeholder. **MEF Client registration configuration** (clause 8.3.7.2) provides the necessary parameters.
+- Each MEF Client shall perform a **MEF Client registration procedure** with the MEF. This provides confirmation that the MEF Client is willing to use the services of the MEF, under the authorization of the administrating stakeholder. The MEF Client shall register separately for each administrating stakeholder, even when registering via a single MEF. If the MEF Client is remotely provisioned for mutual authentication with the MEF, then the MEF shall provide the MEF Client with the KmID to be used for subsequently authentication with the MEF.
+
+At a later time independent of this sequence of events, the **MEF Client registration update procedure** may be performed to confirm that the MEF Client is willing to use the services of the MEF and or establish a new Km and KmID, and the **MEF Client de-registration procedure** may be performed to signal that the MEF Client is ceasing use the services of the MEF.
+
+The source MEF Client shall be configured to establish secure communication using a security feature (SAEF, ESPrim or ESData) with symmetric keys established via the MEF. The details of this configuration is specific to the security feature being invoked, but shall include the **MEF key registration configuration** (clause 8.4.4.3).
+
+The source MEF Client shall perform a **MEF key registration procedure** to establish a symmetric key and corresponding identifier. The source MEF Client shall also provide the Security Usage Identifier (SUID) limiting the scope of the credential by identifying the security feature (SAEF, ESPrim or ESData). This procedure shall include the **MEF handshake procedure** for mutual authentication of the source MEF Client and MEF.
+
+At a later time independent of this sequence of events, the **MEF key registration update procedure** may be performed to update the expiration of the registered key or update the list of target MEF Clients, and the **MEF key de-registration procedure** may be performed to delete the key registration from the MEF.
+
+The source MEF Client shall provide, to the target MEF Client(s), the symmetric key identifier established in the MEF key registration procedure. The details of this step depend on the security feature as identified by the SUID.
+
+The target MEF Client shall perform the **MEF key retrieval procedure**, to retrieve the symmetric key and corresponding information. This procedure shall include the **MEF handshake procedure** for mutual authentication of the target MEF Client and MEF.
+
+The symmetric key shall be used in the security protocol between the source MEF Client and target MEF Client. If the security protocol requires a single symmetric key, then the first half of the distributed symmetric key shall be used. If the security protocol requires two symmetric keys (for example, an encryption key and a separate integrity key), then the two halves of the distributed symmetric key shall be used as the two security protocol symmetric keys. The details of this step depend on the security feature.
+
+
+
+```
+
+sequenceDiagram
+ participant Source_MEF_Client as Source MEF Client
+ participant Admin_Stakeholder as Administrating Stakeholder
+ participant MEF
+ participant Target_MEF_Client as Target MEF Client
+
+ Source_MEF_Client->>Admin_Stakeholder: 1. MEF Client Credential Configuration
+ Admin_Stakeholder->>Target_MEF_Client: 1. MEF Client Credential Configuration
+ Source_MEF_Client->>Admin_Stakeholder: 2. MEF Client Registration Configuration
+ Admin_Stakeholder->>Target_MEF_Client: 2. MEF Client Registration Configuration
+ Source_MEF_Client->>MEF: 3. MEF Client Registration procedure
+ MEF->>Target_MEF_Client: 3. MEF Client Registration procedure
+ Source_MEF_Client->>Admin_Stakeholder: 4. MEF Key Registration Configuration
+ Admin_Stakeholder->>Target_MEF_Client: 4. MEF Key Registration Configuration
+ Source_MEF_Client->>MEF: 5. MEF Key Registration procedure
+Establishing Key ID, Key Value and metadata
+ MEF->>Target_MEF_Client: 5. MEF Key Registration procedure
+Establishing Key ID, Key Value and metadata
+ Source_MEF_Client->>Target_MEF_Client: 6. Key ID (details specific to the security feature)
+ Target_MEF_Client->>MEF: 7. MEF Key Retrieval procedure, provide Key ID
+receive corresponding Key Value and metadata
+ MEF->>Source_MEF_Client: 7. MEF Key Retrieval procedure, provide Key ID
+receive corresponding Key Value and metadata
+ Source_MEF_Client->>Target_MEF_Client: 8. Key Value is used in the security feature
+
+```
+
+Y.4500.3(23)
+
+Sequence diagram showing the interaction between Source MEF Client, Administrating Stakeholder, MEF, and Target MEF Client. The diagram illustrates eight steps: 1. MEF Client Credential Configuration, 2. MEF Client Registration Configuration, 3. MEF Client Registration procedure, 4. MEF Key Registration Configuration, 5. MEF Key Registration procedure Establishing Key ID, Key Value and metadata, 6. Key ID (details specific to the security feature), 7. MEF Key Retrieval procedure, provide Key ID receive corresponding Key Value and metadata, and 8. Key Value is used in the security feature.
+
+**Figure 8.3.5.1-1 – The sequence of events when using the MEF security framework as part of a security feature**
+
+Clause 8.3.5.2 below describes the processing and information flows of the MEF procedures. Clause 8.3.7 describes the information in the MEF Client credential configuration, MEF Client registration configuration and MEF Key registration configuration.
+
+#### 8.3.5.2 MEF security framework processing and information flows
+
+##### 8.3.5.2.1 Introduction
+
+Clause 8.3.5.2 specifies the processing and information flows of the MEF procedures.
+
+##### 8.3.5.2.2 MEF handshake procedure
+
+**Purpose:** A MEF handshake procedure establishes a mutually authenticated TLS or DTLS session for protecting the communication between an MEF Client and MEF. In the case of the MEF key registration procedure, the TLS or DTLS session may be used by the source MEF Client and MEF to establish the key value.
+
+**Pre-conditions:** One of the following conditions shall hold:
+
+The MEF Client and MEF have been provisioned with certificates as described in the MEF Client credential configuration details in clause 8.8.3.1, and configured with CA certificates for validating certificates as described in the MEF Client registration configuration details in clause 8.8.3.2.
+
+The MEF Client and MEF have established a symmetric master credential (Kpm) with corresponding master credential identifier (KpmID). The Kpm and KpmID may be pre-provisioned, or Kpm may be established using remote security provisioning framework with KpmID established using the MEF Client Registration procedure.
+
+**NOTE –** In the case of establishing Kpm via remote provisioning, MEF handshake cannot be performed during MEF Client Registration because (a) the MEF does not know Kpm prior to MEF Client Registration and (b) KpmID has not been assigned prior to MEF Client registration.
+
+**Procedure description:** If the MEF Client and MEF have established a symmetric master credential (Kpm) with corresponding master credential identifier (KpmID), then the MEF Client and MEF shall establish the TLS or DTLS session using the TLS-PSK handshake according to clause 10.2.2, with the following details:
+
+The "psk\_identity" parameter [IETF RFC 4279] shall be set to the value of the master credential identifier (KpmID).
+
+The "psk" parameter [IETF RFC 4279] shall be set to the value of the master credential (Kpm).
+
+If the MEF Client and MEF are to authenticate using certificates, then the MEF Client and MEF shall establish the TLS or DTLS session using the certificate-based TLS handshake according to clause 10.2.2, with the following details:
+
+The TLS server certificate shall be the MEF's certificate. The MEF Client shall verify the MEF's certificate against the set of provisioned MEF certificate trust anchors as described in clause 8.1.2.5.
+
+The TLS Client certificate shall be the 'MEF Client's certificate. The MEF shall verify the 'MEF Client's certificate against the provisioned MEF Client Certificate Information as described in clause 8.1.2.5.
+
+##### 8.3.5.2.3 MEF Client registration procedure
+
+**Purpose:** The MEF Client registers with the MEF to confirm that it is willing to use the services of the MEF, under the authorization of the administrating stakeholder.
+
+NOTE – The MEF Client Registration procedure is equivalent to CSE or AE registration, but in this case the MEF Client is "registering" to the MEF, and not the registrar CSE.
+
+**Pre-conditions:** The MEF Client, MEF, and (where applicable) MEF have been provisioned with the parameters described in clause 8.3.7.
+
+**Procedure description:** The MEF Client shall establish a TLS (or DTLS) connection with the MEF by performing the MEF handshake procedure (clause 8.3.5.2.2). This provides the MEF with an authenticated identity for the MEF Client.
+
+The MEF Client shall send a MEF Client registration request including the information shown in Table 8.3.5.2.3-1.
+
+**Table 8.3.5.2.3-1 – MEF Client Registration Request message information**
+
+| Parameter | Description | Multiplicity |
+|-----------------------|------------------------------------------------------------------------------------------------|--------------|
+| MEF-FQDN | FQDN of the MEF, from MEF Instruction Configuration. | 1 |
+| expirationTime | Proposed time when the registration shall expire. | 1 |
+| labels | Labels to aid discovery the record of the MEF Client's registration. | 0..1 |
+| adminFQDN | FQDN of the administrating stakeholder, provided in the MEF Client registration configuration. | 1 |
+
+Upon receiving the request, the MEF shall process the request. If error cases are encountered, then the MEF shall send an error response. The MEF may assign different values for parameters received from the MEF Client, based on instruction from the administrating stakeholder. If the request is processed successfully, then the MEF shall compose a MEF Client registration response request including the information shown in Table 8.3.5.2.3-2.
+
+**Table 8.3.5.2.3-2 – MEF Client registration response message information**
+
+| Parameter | Description | Multiplicity |
+|-----------------------|----------------------------------------------------------------|--------------|
+| MEFClientRegID | An identifier for the new MEF Client Registration record. | 1 |
+| labels | Labels to aid discovery of the MEF Client Registration record. | 0..1 |
+| expirationTime | Time when the MEF Client Registration record shall expire. | 1 |
+| MEF Client ID | Identifier of the MEF Client. | 1 |
+| adminFQDN | FQDN of the administrating stakeholder. | 1 |
+
+The MEF shall send the response to the MEF Client.
+
+The MEF Client and MEF shall store the parameters.
+
+##### 8.3.5.2.4 MEF client configuration retrieval procedure
+
+**Purpose:** This procedure enables a MEF Client to retrieve MEF Client configurations provided by the administrating stakeholder to the MEF.
+
+**Pre-conditions:** The MEF Client has previously performed the MEF Client Registration procedure to create the MEF Client Registration record.
+
+The MEF Client Registration record is not expired.
+
+**Procedure description:** The procedure comprises the following steps:
+
+The MEF Client shall establish a TLS (or DTLS) connection with the MEF as described in step 1 of clause 8.3.5.2.3.
+
+The MEF Client shall send a MEF Client configuration retrieval request including the information shown in Table 8.3.5.2.4-1.
+
+**Table 8.3.5.2.4-1 – MEF Client configuration retrieval request message information**
+
+| Parameter | Description | Multiplicity |
+|-----------------------|------------------------------------------------------------------|--------------|
+| MEF-FQDN | FQDN of the MEF, from MEF Instruction Configuration. | 1 |
+| MEFClientRegID | Identifier for the MEF Client registration record being updated. | 1 |
+
+Upon receiving the request, the MEF shall process the request. If error cases are encountered, including if there is no MEF Client configuration currently associated with the identified MEF Client registration record, then the MEF shall send an error response. If the request is processed successfully, then the MEF shall attempt to retrieve the MEF Client configuration currently associated with the identified MEF Client registration record.
+
+The MEF shall compose a MEF Client configuration retrieval response a containing the following parameters.
+
+**Table 8.3.5.2.4-2 – MEF Client configuration retrieval response message information**
+
+| Parameter | Description | Multiplicity |
+|---------------------|---------------------------------------------------------------------------------------------------|--------------|
+| MEFClientCfg | MEF Client Configuration currently associated with the identified MEF Client registration record. | 1 |
+
+The MEF shall send the response to the MEF Client.
+
+The MEF Client shall apply the MEF Client configuration.
+
+##### 8.3.5.2.5 MEF Client registration update procedure
+
+**Purpose:** This procedure enables a MEF Client to update the MEF Client registration by any combination of extending the *expirationTime* of the MEF Client registration record or updating the *labels*.
+
+**Pre-conditions:** The MEF Client has previously performed the MEF Client Registration procedure to create the MEF Client registration record.
+
+The MEF Client registration record is not expired.
+
+**Procedure description:** The procedure comprises the following steps:
+
+The MEF Client shall establish a TLS (or DTLS) connection with the MEF as described in step 1 of clause 8.3.5.2.3.
+
+The MEF Client shall send a MEF Client registration update request including the information shown in Table 8.3.5.2.5-1.
+
+**Table 8.3.5.2.5-1 – MEF Client registration update request message information**
+
+| Parameter | Description | Multiplicity |
+|---------------------------------------------------------------------|---------------------------------------------------------------------|--------------|
+| MEF-FQDN | FQDN of the MEF, from MEF Instruction Configuration. | 1 |
+| MEFClientRegID | Identifier for the MEF Client registration record being updated. | 1 |
+| expirationTime | Proposed time when the MEF Client registration record shall expire. | 0..1 |
+| labels | Labels to aid discovery of the MEF Client registration record. | 0..1 |
+| NOTE – At least one of expirationTime and labels shall be included. | | |
+
+Upon receiving the request, the MEF shall process the request. If error cases are encountered, then the MEF shall send an error response. If the request is processed successfully, then the MEF shall update the MEF Client registration record with the proposed values if authorized by the administrating stakeholder. The MEF may assign different values for parameters received from the MEF Client, based on instruction from the administrating stakeholder.
+
+The MEF shall compose a MEF Client registration update response containing the parameters listed in Table 8.3.5.2.5-2.
+
+**Table 8.3.5.2.5-2 – MEF Client registration update response message information**
+
+| Parameter | Description | Multiplicity |
+|-------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------|--------------|
+| expirationTime | Updated time when the MEF Client Registration record shall expire. | 0..1 |
+| labels | Updated labels to aid discovery of the MEF Client Registration record. | 0..1 |
+| NOTE – The response only includes expirationTime and/or labels if those parameters were present in the corresponding request. | | |
+
+The MEF shall send the response to the MEF Client.
+
+The MEF Client and MEF shall store the parameters.
+
+##### 8.3.5.2.6 MEF Client de-registration procedure
+
+**Purpose:** This procedure enables a MEF Client to end its registration with the MEF.
+
+**Pre-conditions:** The MEF Client has previously performed the MEF Client registration procedure to create the MEF Client registration record.
+
+The MEF Client registration record is not expired.
+
+**Procedure description:** The procedure comprises the following steps:
+
+The MEF Client shall establish a TLS (or DTLS) connection with the MEF as described in step 1 of clause 8.3.5.2.3.
+
+The MEF Client shall send a MEF Client de-registration request including the information shown in Table 8.3.5.2.6-1.
+
+**Table 8.3.5.2.6-1 – MEF Client De-Registration Request message information**
+
+| Parameter | Description | Multiplicity |
+|-----------------------|----------------------------------------------------------------|--------------|
+| MEF-FQDN | FQDN of the MEF, from MEF Instruction Configuration. | 1 |
+| MEFClientRegID | Identifier for the MEF Client Registration record being ended. | 1 |
+
+Upon receiving the request, the MEF shall process the request. If error cases are encountered, then the MEF shall send an error response. If the request is processed successfully, then the MEF shall delete the information associated with the identified MEF Client registration record.
+
+The MEF shall compose a MEF Client registration update response indicating the success of the operation. The MEF shall send the response to the MEF Client.
+
+##### 8.3.5.2.7 MEF key registration procedure
+
+**Purpose:** This procedure enables a source MEF Client to establish a symmetric key with the MEF which can be retrieved for use by one or more target MEF Clients.
+
+This procedure is performed between the source MEF Client and the MEF.
+
+**Pre-conditions:** The source MEF Client is provided with (or has otherwise determined) the information in the MEF key registration configuration (clause 8.3.7.3).
+
+The source MEF Client has performed the MEF Client Registration procedure (clause 8.3.5.2.3) with the MEF for the administrating stakeholder identified in the MEF key registration configuration.
+
+**Procedure description:** The procedure comprises the following steps:
+
+The source MEF Client shall establish a TLS or DTLS session with the MEF using the MEF handshake procedure, described in clause 8.3.5.2.2. A by-product of the MEF handshake procedure is that the MEF establishes an authenticated identity for the source MEF Client.
+
+The source MEF Client selects the value of the M2M secure connection key (Kc) to be distributed by the MEF. The value shall be one of the following:
+
+The source MEF Client generates the output symmetric key value from the (D)TLS session secrets using TLS Key Export ([IETF RFC 5705]), as described in clause 10.3.1 "TLS Key Export Details".
+
+The output symmetric key value is self-generated by the source MEF Client, independently of the (D)TLS session secrets.
+
+The source MEF Client shall compose a list of target MEF Clients to whom the MEF is authorized to provide the output symmetric key value:
+
+In the case of MEF-Based SAEF or MEF-Based ESPrim: The list shall contain exactly one Absolute AE-ID or Absolute CSE-ID.
+
+In the case of MEF-Based ESData: The list shall contain any non-zero number of Absolute AE-ID or Absolute CSE-IDs.
+
+NOTE 1 – How the source MEF Client selects the list of target MEF Clients is application dependent.
+
+The source MEF Client shall send a MEF key registration request, including the information shown in Table 8.3.5.2.7-1.
+
+**Table 8.3.5.2.7-1 – MEF key registration request message information**
+
+| Parameter | Description | Multiplicity |
+|-----------------------|--------------------------------------------------------------------------------------------------------------------|--------------|
+| MEF-FQDN | FQDN of the MEF, from MEF Instruction Configuration. | 1 |
+| expirationTime | Proposed time when the Key Registration shall expire. | 1 |
+| labels | Labels to aid discovery of the Key Registration. | 0..1 |
+| adminFQDN | Identifier for the administrating stakeholder. | 1 |
+| SUID | The security usage identifier limiting the security feature in which the symmetric key may be used. | 1 |
+| targetIDs | (Optional) list of identifiers for the initial set of target MEF Clients authorized to retrieve the symmetric key. | 0..1 |
+
+**Table 8.3.5.2.7-1 – MEF key registration request message information**
+
+| Parameter | Description | Multiplicity |
+|------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------|
+| Key Value | (Optional) If present, this parameter contains an output symmetric key value which is self-generated by the Source MEF Client. If this parameter is not present, then the source MEF Client and MEF will generate the output symmetric key value using TLS Exporter. | 0..1 |
+
+The MEF shall process the request. If error cases are encountered, then the MEF shall send an error response. If the request is processed successfully, then the MEF shall authorize establishing a key value, based on the authenticated identity for the source MEF Client.
+
+NOTE 2 – The present specification provides no details for the authorization of this request.
+
+If the request included a value in the key value parameter, then the MEF shall store this value. Otherwise, the MEF shall generate key value from the (D)TLS session using TLS Key Export ([IETF RFC 5705]), as described in clause 10.3.1 "TLS key export details".
+
+The MEF shall initialize the list of authorized target MEF Clients (those MEF Clients which may to retrieve this credential) to the list provided in the request.
+
+In the case of MEF-Based ESData: This list may be further updated by administrating stakeholders during or after the MEF key registration procedure.
+
+NOTE 3 – The present specifications does not provide any details about administrating stakeholders updating the list of authorized target MEF Clients on the MEF. The MEF could provide its own logic and interface allowing administrating stakeholders to manage this list.
+
+The MEF shall select a previously-unused value of RelativeKeyID.
+
+The MEF may assign different values for parameters received from the MEF Client, based on instruction from the administrating stakeholder.
+
+The MEF shall send a response, to the source MEF Client, including the information shown in Table 8.3.5.2.7-2.
+
+**Table 8.3.5.2.7-2 – MEF Key Registration response message information**
+
+| Parameter | Description | Multiplicity |
+|-----------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------|
+| RelativeKeyID | The relative part of the Key Identifier associated with the Key Registration. | 1 |
+| expirationTime | Time when the Key Registration shall expire. | 1 |
+| Source MEF Client ID | Identifier of the source MEF Client. | 1 |
+| labels | Labels to aid discovery of the Key Registration. | 0..1 |
+| adminFQDN | Identifier for the administrating stakeholder. | 1 |
+| SUID | The security usage identifier limiting the security feature in which the symmetric key may be used. | |
+| targetIDs | List of identifiers for the initial set of target MEF Clients authorized to retrieve the symmetric key. This list may have been modified from the list provided by the MEF Client, or created by the MEF (if the MEF Client did not provide a list). | 1 |
+
+The source MEF Client and MEF shall store the output symmetric key value and corresponding key identifier.
+
+The key identifier is generated from the RelativeKeyID and the M2M authentication function's FQDN by the source MEF Client and MEF, as described in clause 10.3.5 "Generating KcID".
+
+##### 8.3.5.2.8 MEF key retrieval procedure
+
+**Purpose:** This procedure enables a target MEF Client to retrieve the Key Value from a MEF corresponding to a RelativeKeyID received by the target MEF Client.
+
+**Pre-conditions:** The target MEF Client has performed the MEF Client credential configuration (clause 8.3.5.2.1) with the MEF, including configuration of the MEF Key Retrieval URI.
+
+The source MEF Client has performed the MEF key registration procedure (clause 8.3.5.2.2) with the MEF, resulting in a registered key value and assigned RelativeKeyID for a specific administrating stakeholder and security usage identifier (SUID).
+
+The target MEF Client received a Key Identifier from the initiating-MEF Client in a security feature with the SUID which the source MEF Client provided to the MEF during the MEF key registration procedure (clause 8.3.5.2.7). The key identifier shall be composed of the FQDN of the MEF and the RelativeKeyID assigned to the registered key.
+
+The target MEF Client may expect that it is authorized to obtain the corresponding output symmetric key value.
+
+NOTE – The target MEF Client should not repeat this procedure if the target MEF Client is already in possession of the corresponding Key Value.
+
+**Procedure description:** The procedure comprises the following steps:
+
+The target MEF Client shall establish a TLS or DTLS session with the MEF using the MEF handshake procedure, described in clause 8.3.5.2.2. A by-product of the MEF handshake procedures is that the MEF establishes an authenticated identity for the target MEF Client.
+
+The target MEF Client shall send a MEF key retrieval request to the MEF including the information shown in Table 8.3.5.2.8-1.
+
+**Table 8.3.5.2.8-1 – MEF Key Retrieval Request message information**
+
+| Parameter | Description | Multiplicity |
+|----------------------|---------------------------------------------------------------------------------------------------|--------------|
+| RelativeKeyID | The relative part of the Key Identifier received from the source MEF Client in a security feature | 1 |
+
+The MEF shall process the request. If error cases are encountered, then the MEF shall send an error response. If the request is processed successfully, then the MEF shall identify the key registration using the *RelativeKeyID*.
+
+The MEF shall determine if the target MEF Client is authorized to retrieve the registered key and metadata by comparing the authenticated identifier for target MEF Client against the list of identifiers for authorized target MEF Clients. If the target MEF Client is not authorized, then the MEF shall send, to the target MEF Client, an error message. Otherwise, the MEF shall proceed to the next step.
+
+The MEF shall send a response, to the target MEF Client, including the information shown in Table 8.3.5.2.8-2.
+
+**Table 8.3.5.2.8-2 – MEF Key Registration response message information**
+
+| Parameter | Description | Multiplicity |
+|-----------------------------|----------------------------------------------|--------------|
+| expirationTime | Time when the Key Registration shall expire. | 1 |
+| Source MEF Client ID | Identifier of the source MEF Client | 1 |
+
+**Table 8.3.5.2.8-2 – MEF Key Registration response message information**
+
+| Parameter | Description | Multiplicity |
+|------------------|-----------------------------------------------------------------------------------------------------|--------------|
+| labels | Labels to aid discovery of the Key Registration | 0..1 |
+| adminFQDN | Identifier for the administrating stakeholder | 1 |
+| SUID | The security usage identifier limiting the security feature in which the symmetric key may be used. | |
+| Key Value | The registered value of the output symmetric key | 1 |
+
+The target MEF Client shall associate the parameters with the key identifier.
+
+##### 8.3.5.2.9 MEF key registration update procedure
+
+**Purpose:** This procedure enables a source MEF Client to update the metadata associated with a registered key.
+
+This procedure is performed between the source MEF Client and the MEF.
+
+**Pre-conditions:** The MEF Client has previously performed the MEF key registration procedure to create the key registration.
+
+The key registration is not expired.
+
+**Procedure description:** The procedure comprises the following steps:
+
+The MEF Client shall establish a TLS (or DTLS) connection with the MEF as described in step 1 of clause 8.3.5.2.7.
+
+The source MEF Client shall compose a list of target MEF Clients to whom the MEF is authorized to provide Kc:
+
+In the case of MEF-based SAEF or MEF-Based ESPrim: The list shall contain exactly one Absolute AE-ID or Absolute CSE-ID.
+
+In the case of MEF-Based ESData: The list shall contain any non-zero number of Absolute AE-ID or Absolute CSE-IDs.
+
+NOTE – The present specifications do not provide any details about how the source MEF Client selects the list of target MEF Clients.
+
+The source MEF Client shall send a MEF key registration update request, including the updated information shown in Table 8.3.5.2.9-1.
+
+**Table 8.3.5.2.9-1 – MEF key registration update request message information**
+
+| Parameter | Description | Multiplicity |
+|-------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------|--------------|
+| MEF-FQDN | FQDN of the MEF, from MEF Instruction Configuration. | 1 |
+| RelativeKeyID | The relative part of the Key Identifier associated with the Key Registration. | 1 |
+| expirationTime | Proposed time when the Key Registration shall expire. | 0..1 |
+| labels | Proposed Labels to aid discovery of the registered key. | 0..1 |
+| targetIDs | (Optional) proposed list of identifiers for the set of target MEF Clients authorized to retrieve the symmetric key. | 0..1 |
+| NOTE – At least one of expirationTime, labels or targetIDs shall be provided. | | |
+
+The MEF shall process the request. If error cases are encountered, then the MEF shall send an appropriate error response. If the request is processed successfully, then the MEF shall update the
+
+metadata with the proposed values if authorized by the administrating stakeholder. The MEF may assign different values for parameters received from the MEF Client, based on instruction from the administrating stakeholder.
+
+The MEF shall send a response, to the source MEF Client, including the information shown in Table 8.3.5.2.9-2.
+
+**Table 8.3.5.2.9-2 – MEF key registration update response message information**
+
+| Parameter | Description | Multiplicity |
+|----------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------|
+| expirationTime | Current time when the key registration shall expire, if changed since the last time the MEF Client was provided with the expiration time. | 0..1 |
+| labels | Updated list of labels to aid discovery of the Key Registration, if any. | 0..1 |
+| targetIDs | Current list of identifiers for the initial set of target MEF Clients authorized to retrieve the symmetric key. This list may have been modified from the list provided by the MEF Client. | 0..1 |
+| NOTE – The response includes only those parameters that were present in the corresponding request. | | |
+
+##### 8.3.5.2.10 MEF key de-registration procedure
+
+**Purpose:** This procedure enables a source MEF Client to request the MEF to stop distributing the registered key.
+
+This procedure is performed between the source MEF Client and the MEF.
+
+**Pre-conditions:** The MEF Client has previously performed the MEF key registration procedure to create the key registration.
+
+The key registration is not expired.
+
+**Procedure description:** The procedure comprises the following steps:
+
+The MEF Client shall establish a TLS (or DTLS) connection with the MEF as described in step 1 of clause 8.3.5.2.7.
+
+The MEF Client shall send MEF key de-registration request including the information shown in Table 8.3.5.2.10-1.
+
+**Table 8.3.5.2.10-1 – MEF Client De-Registration Request message information**
+
+| Parameter | Description | Multiplicity |
+|----------------------|-------------------------------------------------------------------------------|--------------|
+| MEF-FQDN | FQDN of the MEF, from MEF Instruction Configuration. | 1 |
+| RelativeKeyID | The relative part of the Key Identifier associated with the Key Registration. | 1 |
+
+Upon receiving the request, the MEF shall process the request. If error cases are encountered, then the MEF shall send an error response. If the request is processed successfully, then the MEF shall delete the information associated with the identified key registration.
+
+The MEF shall compose MEF client de-registration response indicating the success of the operation. The MEF shall send the response to the MEF Client.
+
+#### 8.3.5.3 Mapping to protocol in [ITU-T Y.4500.32]
+
+The Mmef interface defined in [ITU-T Y.4500.32] shall be used for symmetric key provisioning procedures. The mapping of the MEF procedures described in clause 8.3.5.2 to the Mmef interface is described in [ITU-T Y.4500.32].
+
+### 8.3.6 Certificate provisioning procedure details
+
+#### 8.3.6.1 Introduction
+
+The certificate provisioning procedure includes the following actors:
+
+**MEF Client:** A security principal requesting provisioning of an MEF-provisioned certificate. The MEF Client uses the MEF-provisioned certificate for subsequent authentication of itself to the MEF. The security principal can use the MEF-provisioned certificate for subsequent authentication of itself in other oneM2M security principals.
+
+**MEF CA:** Issuing MEF-provisioned certificates.
+
+**MEF:** Serving requests from the MEF Client, and acting as a Registration Authority (RA) to forward certificate signing requests (CSRs) towards the MEF CA. The MEF can request the MEF CA to add attributes to those attributes already present in the CSR, and can request deletion or modification of attributes present in the CSR.
+
+The certificate provisioning procedure only specifies the interaction between the MEF Client and the MEF.
+
+NOTE 1 – The present specification does not describe the interaction between the MEF and MEF CA.
+
+The certificate provisioning procedure achieve the following outcomes:
+
+The MEF Client obtains MEF-provisioned certificate.
+
+The MEF Client obtains the MEF CA's certificate(s). This certificate(s) shall be used by the MEF Client for subsequent validation of certificates authenticating the MEF. This certificate(s) may be used by the security principal for subsequent validation of certificates authenticating other security principals and MAFs.
+
+NOTE 2 – Additional trust anchor CA certificates for validation of other security principals and MAFs can also be provisioned by configuration of MOs based on the [*trustAnchorCred*] resource.
+
+The certificate provisioning procedure comprises two procedures:
+
+**Initial certificate provisioning procedure:** used when the MEF Client does not possess a valid MEF-provisioned certificate that was previously provisioned by the MEF.
+
+**Certificate re-provisioning procedure:** used by a MEF Client to renew/rekey its existing valid MEF-provisioned certificate that was previously provisioned by the MEF.
+
+This specification describes use of the following protocols for the certificate provisioning procedure:
+
+**Enrolment over secure transport (EST),** specified in [IETF RFC 7030]. The use of this protocol is described in clause 8.3.6.2.
+
+**Certificate provisioning functions using simple certificate enrolment protocol (SCEP)** [IETF RFC 8824]. The use of this protocol is described in clause 8.3.6.3.
+
+#### 8.3.6.2 Certificate provisioning procedures using EST
+
+##### 8.3.6.2.1 Introduction
+
+The enrolment over secure transport (EST) protocol is specified in [IETF RFC 7030]. When EST is used for certificate provisioning procedures, then the following mapping of concepts shall be applied.
+
+The MEF Client acts as the EST Client.
+
+The MEF acts as the EST Server.
+
+The MEF CA acts as the EST CA.
+
+The MEF-provisioned certificate is equivalent to the EST Client certificate.
+
+If a MEF or MEF Client claiming support of the certificate provisioning procedure using EST, then:
+
+The MEF or MEF Client shall support the mandatory EST operations and the optional "CSR Attributes" operations (see Figure 5 of [IETF RFC 7030]).
+
+The MEF or MEF Client shall support TLS server authentication with certificates and TLS Client authentication with certificates as specified for EST in sections 3.3.1 and 3.3.2 of [IETF RFC 7030].
+
+NOTE 1 – This is used when a Certificate-based RSPF is used. The Certificate-based RSPF mandates that the MEF Client and MEF use only trust anchor CA certificates which have been explicitly identified for use for validating MEF Certificates and MEF Client Certificates. These correspond to the Explicit trust anchors (TAs) as defined in section 1.1 of [IETF RFC 7030]. Consequently, the MEF Client/EST Client uses an EST Client Explicit TA database, and the MEF/EST Client uses an EST Client explicit TA database, where these databases are defined in Figure 4 of [IETF RFC 7030].
+
+If the MEF or MEF Client supports PPSK-based RSPF, then the MEF or MEF Client shall support EST certificate-Less TLS mutual authentication (section 3.3.3 of [IETF RFC 7030]).
+
+The MEF or MEF Client may support linking identity and proof-of-possession information (section 3.5 [IETF RFC 7030]).
+
+NOTE 2 – Until widely-used cryptographic libraries are available which support this functionality, it is unlikely that this functionality would be supported by the MEF or MEF Client.
+
+The MEF or MEF Client shall not use the HTTP-based Client authentication feature of EST (section 3.2.3 of [IETF RFC 7030]).
+
+NOTE 3 – HTTP-based Client authentication in EST can be used in scenarios where the MEF Client is authorized using user authentication as discussed in section 2.2.3 of [IETF RFC 7030]. These scenarios have not yet been considered by the present specification. These scenarios can be supported in the future by adding support for HTTP-based Client authentication.
+
+The MEF Client shall support generation of private/public key pairs. The MEF Client and MEF shall use server-side key generation feature of EST (section 2.4, 4.4 of [IETF RFC 7030]).
+
+##### **8.3.6.2.2 Initial certificate provisioning procedure using EST**
+
+**Purpose:** Enabling an MEF Client to request its first certificate from the MEF. See also the initial enrolment operational scenarios in section 2.2 of [IETF RFC 7030], noting the supported authentication methods listed in clause 8.3.6.2.1.
+
+**Pre-conditions:** Common Pre-conditions for all certificate provisioning procedures
+
+The MEF Client and MEF support EST.
+
+The MEF Client is provided with the estBaseURI whose FQDN shall match the FQDN of the MEF.
+
+The MEF Client is triggered to perform EST.
+
+NOTE 1 – The estBaseURI in pre-condition A.ii can be provided in the message triggering EST in pre-condition A.iii.
+
+The MEF Client and MEF have successfully performed a MEF handshake and the MEF associates an identifier with the MEF Client. For the initial certificate provisioning procedure, one of the following RSPFs shall be used.
+
+PPSK-based RSPF (clause 8.3.2.1) corresponding to certificate-less TLS authentication in EST, described in section 3.3.3 of [IETF RFC 7030].
+
+Certificate-based RSPF (clause 8.3.2.2) corresponding to mutual, certificate-based TLS authentication in EST.
+
+The certificate used to authenticate the MEF/EST server corresponds to the EST Server certificate (defined in Figure 3 of [IETF RFC 7030]) which the MEF Client/ EST Client validates against the EST Client explicit trust anchor database (see Note 1 in clause 8.3.6.2.1). EST describes the EST Server authentication in section 3.3.1 of [IETF RFC 7030], which mandates the EST Client perform
+
+EST Server authorization checks in section 3.6 of [IETF RFC 7030] with details specific to authorization checks for an EST Client explicit TA database in section 3.6.1 of [IETF RFC 7030].
+
+The certificate used to authenticate the MEF Client/EST Client corresponds to a third-party EST Client certificate, (defined in Figure 3 of [IETF RFC 7030]) which the MEF/ EST server validates against the EST server explicit trust anchor database (see Note 1 in clause 8.3.6.2.1). EST describes the EST client authentication in section 3.3.2 of [IETF RFC 7030], which mandates the EST server perform authorization checks in section 3.7 of [IETF RFC 7030].
+
+NOTE 2 – HTTP-based Client authentication of the user or EST Client is not supported by the initial certificate provisioning procedure. See Note 3 in clause 8.3.6.2.1.
+
+**Procedure description:** Obtaining trust anchor CA certificates. See section 4.1 of [IETF RFC 7030].
+
+The MEF Client shall request the set of trust anchor CA certificates as described in section 4.1.2 of [IETF RFC 7030].
+
+The MEF shall respond a set of trust anchor CA certificates as described in section 4.1.3 of [IETF RFC 7030].
+
+The MEF Client is expected to install the trust anchor CA certificates.
+
+NOTE 3 – Certification path validation and certificate status verification needs to be performed by the MEF Client as specified in clause 8.1.2.2.
+
+Obtaining the set of CSR attributes. See section 4.5 of [IETF RFC 7030].
+
+The MEF Client shall request the set of CSR attributes from the MEF as described in section 4.5.1 of [IETF RFC 7030].
+
+The MEF shall respond with the set of required CSR attributes as described in section 4.5.2 of [IETF RFC 7030]. The set of required CSR attributes shall comply with the CSR profile in clause 10.1.4. This set includes a challengePassword and an identity attribute for the type of identifier which the MEF associates with the MEF Client (see pre-conditions).
+
+Obtaining a certificate.
+
+The MEF Client shall either generate a public/private key pair of suitable key length, or select an existing public/private key pair of suitable key length.
+
+The MEF Client shall generate a CSR with the requested CSR attributes using the key pair.
+
+The MEF Client shall request a EST Client certificate using "Simple enrolment of Clients" as described in section 4.2.1 of [IETF RFC 7030].
+
+The MEF shall validate the attributes, including the challengePassword, against those provided in step 2. The MEF shall validate the identity attribute against the authenticated identity associated with the MEF Client (see precondition B).
+
+NOTE 3 – The MEF, acting as a Registration Authority (RA), forwards the CSR to a Certificate Authority (CA). The CA issues the EST Client certificate (defined in Figure 3 of [IETF RFC 7030]) and returns the certificate to the MEF.
+
+The MEF shall send the EST Client certificate (defined in Figure 3 of [IETF RFC 7030]) to the MEF Client in the response as described in section 4.2.3 of [IETF RFC 7030].
+
+The MEF Client is expected to install the EST Client certificate and associates it with the corresponding private key. The EST Client certificate shall be used for subsequent authentication with the MEF. The EST Client certificate may also be used as an end-entity certificate in other security protocols.
+
+##### 8.3.6.2.3 Certificate re-provisioning procedure using EST
+
+**Purpose:** Enabling an MEF Client to renew/rekey a currently valid enrolled certificate. See also the Client certificate reissuance operational scenario in section 2.3 of [IETF RFC 7030].
+
+**Pre-conditions:** Common pre-conditions for all certificate provisioning procedures: see pre-condition A in clause 8.3.6.2.2.
+
+The MEF Client has previously performed the initial certificate provisioning procedure or certificate re-Provisioning procedure with the MEF, and the MEF Client has installed its EST Client certificate and EST Client explicit trust anchor database from the most recent such procedure.
+
+The MEF Client and MEF have performed a MEF handshake for the certificate-based RSPF (clause 8.3.2.2) with the MEF Client using its EST Client certificate and EST Client explicit trust anchor database as discussed in precondition B. The details are identical to pre-condition B.ii in clause 8.3.6.2.2, with the difference that the MEF Client/EST Client authenticates itself with an EST Client certificate (defined in Figure 4 of [IETF RFC 7030]) rather than the EST Third-Party EST Client certificate in pre-condition B.ii.2.
+
+###### Procedure description:
+
+Obtaining trust anchor CA certificates. As for step 1 in clause 8.3.6.2.2.
+
+Obtaining the set of CSR attributes. As for step 2 in clause 8.3.6.2.2.
+
+Obtaining a certificate. As for step 3 in clause 8.3.6.2.2, except step 3.c and 3.d are replaced with the following:
+
+- c. The MEF Client shall request the renewal/rekeying of its EST Client certificate using "Simple re-enrolment of Clients" as described in section 4.2.2 of [IETF RFC 7030].
+- d. The MEF shall validate the challengePassword and EKU(s) against those provided in step 2. The MEF validates the provided identity against the identity associated with the MEF Client (see precondition C).
+
+#### 8.3.6.3 Certificate provisioning procedures using SCEP
+
+##### 8.3.6.3.1 Introduction
+
+The simple certificate enrolment protocol (SCEP) is specified in [IETF RFC 8824]. There are many existing implementations available compliant with [IETF RFC 8824]. To document existing implementations, reference to [IETF RFC 8824] is given here.
+
+When SCEP is used for certificate provisioning procedures, the following mapping of concepts shall be applied.
+
+The M2M enrolment function (MEF) Client acts as the SCEP Client.
+
+The MEF acts as the SCEP Server (also known as a SCEP Responder).
+
+The MEF CA acts as the SCEP CA.
+
+The MEF-provisioned certificate is equivalent to the SCEP Client certificate.
+
+If a MEF or MEF Client claim support of the certificate provisioning procedure using SCEP, then:
+
+The MEF or MEF Client may support linking identity and proof-of-possession information.
+
+NOTE 1 – Until widely-used cryptographic libraries are available which support this functionality, it is unlikely that this functionality would be supported by the MEF or MEF Client.
+
+The MEF or MEF Client shall not use the HTTP-based Client authentication.
+
+NOTE 2 – HTTP-based Client authentication in SCEP can be used in scenarios where the MEF Client is authorized using user authentication. These scenarios have not yet been considered by the present specification. These scenarios can be supported in the future by adding support for HTTP-based Client authentication.
+
+The MEF Client shall support generation of private/public key pairs.
+
+##### **8.3.6.3.2 Details of certificate provisioning procedures using SCEP**
+
+**Purpose:** Enabling an MEF Client to request its first certificate and subsequent certificates from the MEF using SCEP as specified in [IETF RFC 8824].
+
+**Pre-conditions:** Common Pre-conditions for all certificate provisioning procedures.
+
+The MEF Client and MEF support SCEP.
+
+The MEF Client is provided with the base URI whose FQDN shall match the FQDN of the MEF.
+
+The MEF Client is triggered to perform SCEP.
+
+NOTE 1 – The base URI in pre-condition A.ii can be provided in the MEF Client command triggering SCEP in pre-condition A.iii.
+
+If the Client does not have an appropriate existing certificate, then it shall generate locally a self-signed certificate. The keyUsage extension in the certificate shall indicate that it is valid for digitalSignature and keyEncipherment. The self-signed certificate should use the same subject name as in the PKCS #10 request. See section 2.4 of [IETF RFC 8824].
+
+###### **Procedure description:**
+
+Obtaining trust anchor CA certificates. See section 4.2 of [IETF RFC 8894].
+
+The MEF Client shall request the set of trust anchor CA certificates.
+
+The MEF shall respond a set of trust anchor CA certificates.
+
+The MEF Client is expected to install the trust anchor CA certificates.
+
+NOTE 2 – Certification path validation and certificate status verification needs to be performed by the MEF Client as specified in clause 8.1.2.2.
+
+Obtaining the CA capabilities. See section 3.5 of [IETF RFC 8824].
+
+The MEF Client shall request the set of CA capabilities from the MEF as described in section 3.5.1 of [IETF RFC 8824].
+
+The MEF shall respond with the set of required CSR attributes as described in section 3.5.2 of [IETF RFC 8824].
+
+Obtaining a certificate.
+
+The MEF Client shall either generate a self-signed public/private key pair of suitable key length, or select an existing public/private key pair of suitable key length.
+
+The MEF Client shall generate a CSR with the requested CSR attributes using the key pair.
+
+The MEF Client shall request a SCEP Client certificate using "Certificate enrolment" as described in section 4.3 of [IETF RFC 8824].
+
+The MEF shall validate the attributes, optionally also a challengePassword. The MEF shall validate the identity attribute against the authenticated identity associated with the MEF Client.
+
+NOTE 3 – The MEF, acting as a Registration Authority (RA), forwards the CSR to a Certificate Authority (CA). The CA issues the SCEP Client certificate and returns the certificate to the MEF.
+
+The MEF shall send the SCEP Client certificate to the MEF Client in the response as described in section 4.3.1 of [IETF RFC 8824].
+
+The MEF Client is expected to install the SCEP Client certificate and associates it with the corresponding private key. The SCEP Client certificate shall be used for subsequent authentication with the MEF. The SCEP Client certificate may also be used as an end-entity certificate in other security protocols.
+
+### 8.3.7 MEF Client configuration details
+
+#### 8.3.7.1 MEF Client credential configuration details
+
+The MEF Client and MEF shall be configured with credentials for mutual authentication of the MEF Client and MEF.
+
+The credentials for mutual authentication shall be either pre-provisioned or remotely provisioned by another MEF using remote security provisioning frameworks, or by device configuration as specified in [ITU-T Y.4500.22]. Either symmetric key credentials or certificate credentials may be provisioned. Symmetric key credentials may be used for authenticating some MEF Clients and certificate credentials may be used for authenticating other MEF Clients. The selection may be based on the capabilities of the MEF Client.
+
+The details depend on the type of credential (symmetric key or certificates) and, in the case of symmetric keys, the type of provisioning (pre-provisioning or remote provisioning).
+
+Details specific to **pre-provisioned symmetric keys (PPSKs)**: the pre-provisioned symmetric Enrollee key (Kpm) and corresponding key Identifier (KpmID) shall be provisioned to the MEF Client (assuming the role of Enrollee) and the MEF.
+
+Details specific to **remotely-provisioned symmetric keys (RPSKs)**: The MEF Client and an M2M enrolment function (MEF) shall be provisioned with credentials for performing a remote security provisioning (RSPF) Framework. The MEF Client shall be authorized to use the services of the MEF. For more details, see clause 8.3.2.
+
+NOTE 1 – In this case, the pre-provisioned symmetric Enrollee key (Kpm) and key Identifier (KpmID) are established during the MEF Client Registration procedure.
+
+Details specific to **certificates (whether pre-provisioned or remotely provisioned)**: The MEF Client shall be provisioned with an MEF Client certificate with optional certificate chain. The MEF Client certificate shall be a device certificate, AE-ID certificate or CSE-ID certificate.
+
+NOTE 2 – The configuration of MEF trust anchor CA certificates is addressed in MEF Client registration configuration, and can occur separately from MEF Client credential configuration.
+
+The oneM2M device configuration specification [ITU-T Y.4500.22] provides a set of ** specializations that shall be used for MEF Client credential configuration when the MEF Client supports device management (either remotely or via manual input). This Recommendation does not specify how the MEF Client credential configuration is represented when the MEF Client does not support device management.
+
+#### 8.3.7.2 MEF Client registration configuration details
+
+**Purpose:** The MEF Client registration configuration describes the information provisioned to a MEF Client to enable it to perform MEF procedures authorized by an administrating stakeholder. The administrating stakeholder arranges for the MEF Client registration configuration to be provided to the MEF Client.
+
+**Pre-conditions:** The MEF Client and MEF have been configured with credentials which can be used for mutual authentication: see MEF Client credential configuration in clause 8.3.7.1.
+
+If the MEF Client and MEF will use certificates for mutual authentication, then:
+
+The administrating stakeholder (or another stakeholder acting on behalf of the administrating stakeholder) possesses a copy of the MEF Client's certificate information as defined in clause 8.1.2.4. The MEF is provided with a copy of the MEF Client's certificate information. This Recommendation does not specify how this information is provided to the MEF by the administrating stakeholder (or another stakeholder acting on behalf of the administrating stakeholder).
+
+The administrating stakeholder (or another stakeholder acting on behalf of the administrating stakeholder) possesses a copy of the MEF trust anchor CA certificates. The MEF Client is provided with a copy of the MEF trust anchor CA certificates.
+
+The administrating stakeholder arranges for the MEF to allow the MEF Client to perform MEF Client registration. This could involve pre-authorization or real-time authorization.
+
+**Details:** The MEF Client registration configuration (*mefClientRegCfg*) includes the information shown in Table 8.3.7.2-1, and has data type sec:ClientRegCfg (see clause 12.4.2).
+
+**Table 8.3.7.2-1 – Information in the MEF Client registration configuration**
+
+| Element Name | Multiplicity | Notes |
+|-----------------------|--------------|---------------------------------------------------------------------------|
+| expirationTime | 0..1 | Time when the configuration expires. |
+| labels | 0..1 | List of labels to enable discovery of the MEF Client registration record. |
+| fqdn | 1 | MEF-FQDN (also known as MEF-ID). |
+| adminFQDN | 1 | FQDN of the administrating stakeholder. |
+| httpPort | 0..1 | Port number when using HTTP [b-IETF RFC 7730] |
+| coapPort | 0..1 | Port number when using CoAP [b-IETF RFC 7252]. |
+| websocketPort | 0..1 | Port number when using WebSocket [b-IETF RFC 6455]. |
+
+#### 8.3.7.3 MEF key registration configuration details
+
+**Purpose:** The MEF Key registration configuration describes the information provisioned to a MEF Client to enable it to perform MEF procedures authorized by an administrating stakeholder. The administrating stakeholder arranges for the MEF Client registration configuration to be provided to the MEF Client.
+
+**Pre-conditions:** The MEF Client has performed the MEF Client Registration procedure with the MEF for the administrating stakeholder.
+
+The MEF Client has currently-valid credentials for mutual authentication with the MEF.
+
+**Details:** The MEF Key registration configuration (*mefKeyRegCfg*) includes the information shown in Table 8.3.7.3-1, and has data type sec:keyRegCfg (see clause 12.4.3).
+
+**Table 8.3.7.3-1 – Information in the MEF key registration configuration**
+
+| Element Name | Multiplicity | Notes |
+|-----------------------|--------------|-----------------------------------------------------------------------------------------------------|
+| expirationTime | 0..1 | Expiration time |
+| labels | 0..1 | List of labels to enable discovery of the key registration |
+| adminFQDN | 1 | FQDN of the administrating stakeholder |
+| SUID | 1 | SUID constraining the usage of the Key Value established during the MEF Key registration procedure. |
+| targetIDs | 0..1 | List of identifiers for authorized target MEF Clients |
+
+### 8.3.8 Profile for device configuration within an enrolment exchange
+
+[ITU-T Y.4500.22] specifies a series of resources types, and procedures on those resource types, for configuration of AEs and CSEs on field devices.
+
+As stated in clause 8.3.4.5, device configuration can be performed within an Enrolment Exchange with a MEF, or in a DM session with other DM servers (separate from an Enrolment Exchange).
+
+When device configuration is used with an enrolment exchange, then there are two constraints on the device configuration ** specializations:
+
+[*myCertFileCred*]: This ** specialization is not configured by a MEF. Instead, a MEF shall use the certificate provisioning procedures of clause 8.3.6 for provisioning a certificate for the MEF Client to use for authenticating itself.
+
+[*authenticationProfile*]: The *symmKeyValue* attribute of this ** specialization for provisioning symmetric keys is not used by the MEF (see Note below). Instead, a MEF shall use the symmetric key provisioning procedures of clause 8.3.5 for provisioning symmetric keys to the MEF Client. This is achieved in two steps:
+
+The MEF uses device configuration to configure a MO corresponding to the [*authenticationProfile*], with the following constraints:
+
+The [*authenticationProfile*] shall link to the [*MEFClientRegCfg*] associated with the registration on the MEF for the administrating stakeholder which authorized the [*authenticationProfile*].
+
+The [*authenticationProfile*] shall include the *expirationTime*, and *MAFKeyRegDuration* attributes, and may include the *MAFKeyRegLabels*.
+
+The [*authenticationProfile*] resource does not include the values corresponding to the *symmKeyID* and *symmKeyValue* attributes.
+
+The MEF subsequently issues a MO\_NODE MEF Client Command matching the [*authenticationProfile*] MO node, as described in clause 8.3.4.3. This trigger executing a MEF key registration procedure which establishes a symmetric key and symmetric key identifier at the MEF Client and MEF.
+
+NOTE – The *symmKeyValue* is present in the [*authenticationProfile*] for device configuration scenarios where the DM server is not an MEF. The symmetric key provisioning procedures specified in this Recommendation provide greater security, which is why they are mandatory when the DM server is an MEF.
+
+### 8.3.9 MEF Client command processing
+
+#### 8.3.9.1 Introduction
+
+**Purpose:** The MEF Client commands are used by an MEF to control the sequence of enrolment exchange procedures executed by the MEF Client.
+
+A MEF Client command is issued, or reissued, by the MEF to the MEF Client in the response of a MEF Client command retrieve procedure (clause 8.3.9.2) or MEF Client command update procedure (clause 8.3.9.3). The resulting status, following the attempt to parse and execute the command, is reported to the MEF Client in the request of a MEF Client command update procedure (clause 8.3.9.3).
+
+A MEF Client command retrieve response or MEF Client command update response includes *cmdID*, *cmdDescription*, and initial *cmdStatusCode* of a MEF Client command being issued, or reissued, by the MEF to the MEF Client. A MEF Client command update request, sent from the MEF Client to the MEF, includes *cmdID* and *cmdStatusCode* indicating the result of attempting to parse and execute the command.
+
+These three elements serve the following purposes:
+
+*cmdID*: disambiguates between sequential MEF Client commands issued within the context of an MEF Client registration (which, in some cases, may be one of multiple MEF Client registrations on the MEF). The *cmdID* serves two purposes: ensuring that a command is not accidentally executed twice; and correlating a MEF Client command status to the corresponding issued command.
+
+*cmdDescription*: providing a description of the command to be executed.
+
+*cmdStatusCode*: enables the MEF to indicate if a command is a reissued command or not, and enables the MEF Client to indicate the result of attempting to parse and execute the command.
+
+MEF Client command procedures are performed within the context of a (non-expired) MEF Client registration with the MEF.
+
+#### 8.3.9.2 MEF Client command retrieve procedure
+
+**Triggering the procedure:** See clause 8.3.4.6 for mechanisms which can trigger MEF Client command procedures.
+
+**Pre-conditions:** The MEF and MEF Client have performed an MEF handshake, see clause 8.3.5.2.2. The MEF Client registration is not expired, and the MEF Client has obtained the *MEFClientRegID* for the registration.
+
+The MEF Client shall not send an MEF Client command retrieve in between the time when an MEF Client receives an MEF Client command from the MEF and the time when the MEF Client sends a corresponding MEF Client command update to report on the status.
+
+The MEF Client shall not initiate an MEF Client command retrieve while waiting for a MEF Client command response from the MEF, unless the MEF takes too long to respond. The time duration for waiting for a response from the MEF is an implementation-specific decision of the MEF Client.
+
+**Procedure:** The MEF Client shall send a MEF Client command retrieve request including the information shown in Table 8.3.9.2-1.
+
+**Table 8.3.9.2-1 – MEF Client Command Retrieve Request message information**
+
+| Element | Description | Multiplicity |
+|-----------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------|
+| MEFClientRegID | Identifier for the MEF Client registration record for which the MEF Client Command is being requested. See Pre-Condition B. This is the resource identifier of the parent resource of the MEF Client Command. | 1 |
+
+Upon receiving the request, the MEF shall process the request. If error cases are encountered, then the MEF shall send an error response.
+
+If the request is processed successfully, then the MEF shall attempt to retrieve the MEF Client Command currently associated with the identified MEF Client registration record.
+
+If there are currently no more MEF Client commands to be issued to the MEF Client, then the MEF forms the *cmdDescription* as specified in clause 8.3.9.6.
+
+If MEF Client command will trigger a certificate provisioning procedure, then the MEF forms the *cmdDescription* as specified in clause 8.3.9.7.
+
+If MEF Client command will trigger device configuration, then the MEF forms the *cmdDescription* as specified in clause 8.3.9.8.
+
+In the case of an MO\_NODE MEF Client command, then the MEF forms the *cmdDescription*, as specified in clause 8.3.9.9.
+
+The MEF shall compose a MEF Client command retrieve response containing the parameters listed in Table 8.3.9.2-2.
+
+**Table 8.3.9.2-2 – MEF Client Command Retrieve Response message information**
+
+| Element | Description | Multiplicity |
+|-----------------------|------------------------------------------------------------------------------------------------------------------------------------|--------------|
+| cmdID | An identifier for a MEF Client Command issued by the MEF (see data type definition in clause 8.6.1 of [ITU-T Y.4500.32]). | 1 |
+| cmdDescription | Description of the MEF Client Command being issued or reissued. | 1 |
+| cmdStatusCode | cmdStatusCode set to MEF_CLIENT_CMD_ISSUED or MEF_CLIENT_CMD_REISSUED as appropriate (see clauses 8.3.9.5.2 and 8.3.9.5.3). | 1 |
+
+The MEF shall send the response to the MEF Client.
+
+The MEF Client shall attempt to parse and execute the response information.
+
+The MEF Client attempts to parse the response message information into *cmdID*, *cmdDescription* and *cmdStatusCode* elements; and parse *cmdDescription* into its constituent *cmdClassID* and *cmdArgs* elements. If parsing succeeds, then the MEF Client proceeds to step 5b. If parsing fails, then the MEF Client may choose to exit the procedure, or may return to step 1.
+
+The MEF Client compares the *cmdID* of the response message with *cmdID* sent in the most recent MEF Client Command Update procedure. If the *cmdID* values are distinct, then the MEF Client proceeds to step 5.c. If the *cmdID* values are identical then the MEF Client exits the procedure, triggering MEF Client command update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_REPEATED\_CMD\_ID.
+
+The MEF Client interprets *cmdClassID*, to determine the corresponding MEF Client Command Class. If the MEF Client supports the MEF Client Command Class then the MEF Client proceeds to step 5.d. If the MEF Client does not support the MEF Client Command Class then the MEF Client exits the procedure, triggering MEF Client Command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_CLASS\_NOT\_SUPPORTED.
+
+The MEF Client initiates the MEF Client Command Class-specific procedures:
+
+The NO\_MORE\_COMMANDS MEF Client Command Class-specific procedures are specified in clause 8.3.9.6.
+
+The CERT\_PROV MEF Client command class-specific procedures are specified in clause 8.3.9.7.
+
+The DEV\_CFG MEF Client command class-specific procedures are specified in clause 8.3.9.8.
+
+The MO\_NODE MEF Client command class-specific procedures are specified in clause 8.3.9.9.
+
+#### 8.3.9.3 MEF Client command update procedure
+
+**Triggering:** The MEF Client shall initiate the MEF Client command update procedure only when triggered from within the MEF Client command retrieve procedure (clause 8.3.9.2), or MEF Client command update procedure (as defined in the present clause) or a MEF Client command class-specific procedure (clauses 8.3.9.6, 8.3.9.7, 8.3.9.8, 8.3.9.9). The trigger includes the values for *cmdID* and *cmdStatusCode*.
+
+**Pre-conditions:** The MEF and MEF Client have performed an MEF handshake, see clause 8.3.5.2.2. The MEF Client registration is not expired, and the MEF Client has obtained the *MEFClientRegID* for the registration.
+
+**Procedure:** The MEF Client shall send a MEF Client command update request including the information shown in Table 8.3.9.3-1.
+
+**Table 8.3.9.3-1 – MEF Client Command Update Request message information**
+
+| Element | Description | Multiplicity |
+|-----------------------|-----------------------------------------------------------------------------------------------------------------------------|--------------|
+| MEFClientRegID | Identifier for the MEF Client registration record for which the MEF Client Command is being requested. See Pre-Condition B. | 1 |
+| cmdID | Provided when the procedure was triggered | 1 |
+| cmdStatusCode | Provided when the procedure was triggered | 1 |
+
+Upon receiving the request, the MEF shall process the request.
+
+The MEF attempts to parse the request message information into *MEFClientRegID*, *cmdID* and *cmdStatusCode* elements. If parsing succeeds, then the MEF proceeds to step 2b. If parsing fails, then the MEF shall send an MEF Client command update response with the BAD\_REQUEST request status code from Table 5.1.2-3 in [ITU-T Y.4500.32], and no further steps are performed.
+
+The MEF compares the *cmdID* in the request to the *cmdID* of the most recently issued MEF Client Commands. If there is no match then the *cmdID* and *cmdStatusCode* are discarded. If there is a match, then the MEF can records the *cmdID* and *cmdStatusCode*.
+
+The MEF determines the next MEF Client command to issue to the MEF Client, as described in step 3 of clause 8.3.9.2.
+
+The MEF shall compose a MEF Client command Update response containing the same elements as an MEF Client command Retrieve response, shown in Table 8.3.9.2-2 in step 4 of clause 8.3.9.2. The MEF shall send the response to the MEF Client.
+
+The MEF Client shall attempt to parse and execute the response message information, as specified in step 5 of clause 8.3.9.2.
+
+#### 8.3.9.4 The *cmdDescription* element
+
+The *cmdDescription* element has data type sec:cmdDescription defined in clause 12.4.4 and includes the following elements:
+
+*cmdClassID*: identifying a class of MEF Client commands.
+
+(conditional on *cmdClassID*) *cmdArgs*: containing arguments specific to the *cmdClass*.
+
+(optional) *targetID*: When the MEF Client is a Node acting on behalf of a CSE and/or multiple AE, then the *targetID* identifies to which entity the command applies.
+
+MEF Client command processing supports the following classes of MEF Client commands:
+
+NO\_MORE\_COMMANDS: indicating that the MEF has no more MEF Client commands for the MEF Client. The NO\_MORE\_COMMANDS MEF Client command is specified in clause 8.3.9.6.
+
+CERT\_PROV: for triggering Certificate Provisioning procedures. The CERT\_PROV MEF Client commands are specified in clause 8.3.9.7.
+
+DEV\_CFG: for triggering device configuration. The DEV\_CFG MEF Client commands are specified in clause 8.3.9.8.
+
+MO\_NODE: for triggering procedures. The CERT\_PROV MEF Client commands are specified in clause 8.3.9.9.
+
+#### 8.3.9.5 The *cmdStatusCode* element
+
+##### 8.3.9.5.1 Introduction
+
+The *cmdStatusCode* is used by the MEF and MEF Client to indicate the status of an issued command. The value in the *cmdStatusCode* element is of datatype sec:cmdStatusCode, specified in
+
+clause 12.3.2.4. Table 8.3.9.5.1-1 provides an informative summary of the *cmdStatusCode*, with normative description in the remaining sub clauses of 8.3.9.5.
+
+**Table 8.3.9.5.1-1 – Overview of the *cmdStatusCode* element**
+
+| cmdStatusCode | Assigned by | cmdClass of issued MEF Client command | Clause |
+|---------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------|----------------------------------------------|---------------|
+| MEF_CLIENT_CMD_ISSUED | MEF | Any | 8.3.9.5.2 |
+| MEF_CLIENT_CMD_REISSUED | MEF | Any | 8.3.9.5.3 |
+| MEF_CLIENT_CMD_OK | MEF Client | Any. See Note. | 8.3.9.5.4 |
+| MEF_CLIENT_CMD_REPEATED_CMD_ID | MEF Client | Any | 8.3.9.5.5 |
+| MEF_CLIENT_CMD_CLASS_NOT_SUPPORTED | MEF Client | Any. See Note. | 8.3.9.5.6 |
+| MEF_CLIENT_CMD_BAD_ARGUMENTS | MEF Client | Any | 8.3.9.5.7 |
+| MEF_CLIENT_CMD_UNACCEPTABLE_ARGUMENTS | MEF Client | CERT_PROV,
DEV_CFG,
MO_NODE | 8.3.9.5.8 |
+| MEF_CLIENT_CMD_CERT_PROV_SERVER_ERROR | MEF Client | CERT_PROV | 8.3.9.5.9 |
+| MEF_CLIENT_CMD_CERT_PROV_CLIENT_ERROR | MEF Client | CERT_PROV | 8.3.9.5.10 |
+| MEF_CLIENT_CMD_DEV_CFG_SERVER_ERROR | MEF Client | DEV_CFG | 8.3.9.5.11 |
+| MEF_CLIENT_CMD_DEV_CFG_CLIENT_ERROR | MEF Client | DEV_CFG | 8.3.9.5.12 |
+| MEF_CLIENT_CMD_MO_NODE_NOT_FOUND | MEF Client | MO_NODE | 8.3.9.5.13 |
+| MEF_CLIENT_CMD_MO_NODE_TYPE_CONFLICT | MEF Client | MO_NODE | 8.3.9.5.14 |
+| MEF_CLIENT_CMD_MO_NODE_BAD_ARGS | MEF Client | MO_NODE | 8.3.9.5.15 |
+| MEF_CLIENT_CMD_MO_NODE_UNACCEPTABLE_ARGS | MEF Client | MO_NODE | 8.3.9.5.16 |
+| MEF_CLIENT_CMD_MO_NODE_INCONSISTENT_CONFIG | MEF Client | MO_NODE | 8.3.9.5.17 |
+| MEF_CLIENT_CMD_MO_NODE_PROCESSING_FAILED | MEF Client | MO_NODE | 8.3.9.5.18 |
+| NOTE – In normal circumstances, an MEF Client should not provide this cmdStatusCode when the issued command has cmdClass indicating NO_MORE_COMMANDS. | | | |
+
+##### **8.3.9.5.2 *cmdStatusCode* MEF\_CLIENT\_CMD\_ISSUED**
+
+The MEF is issuing the command, and the MEF expects that this is the first time that the MEF Client is receiving the command.
+
+##### **8.3.9.5.3 *cmdStatusCode* MEF\_CLIENT\_CMD\_REISSUED**
+
+The MEF previously issued the command, and did not receive a corresponding MEF Client command Update from the MEF Client (in particular, providing the status of the executed command), and consequently the MEF is reissuing the command.
+
+If the MEF Client already performed the command, then it reports the status, otherwise the MEF Client performs the command.
+
+##### **8.3.9.5.4 *cmdStatusCode* MEF\_CLIENT\_CMD\_OK**
+
+The MEF Client successfully performed the command.
+
+##### **8.3.9.5.5 *cmdStatusCode* MEF\_CLIENT\_CMD\_REPEATED\_CMD\_ID**
+
+The *cmdID* in the MEF Client command Response message matches the *cmdID* sent in the most recent MEF Client command Update procedure. This would indicate some processing error on the MEF.
+
+##### **8.3.9.5.6 *cmdStatusCode* MEF\_CLIENT\_CMD\_CLASS\_NOT\_SUPPORTED**
+
+The MEF Client does not support the requested *cmdClass*.
+
+##### **8.3.9.5.7 *cmdStatusCode* MEF\_CLIENT\_CMD\_BAD\_ARGUMENTS**
+
+The MEF Client supports the *cmdClass*, but the MEF Client could not parse *cmdArgs*.
+
+##### **8.3.9.5.8 *cmdStatusCode* MEF\_CLIENT\_CMD\_UNACCEPTABLE\_ARGUMENTS**
+
+The MEF Client supports the *cmdClass*, and the MEF Client parsed *cmdArgs* element, but at least one of the elements of *cmdArgs* which could be processed by the MEF Client had an unacceptable value.
+
+##### **8.3.9.5.9 *cmdStatusCode* MEF\_CLIENT\_CMD\_CERT\_PROV\_SERVER\_ERROR**
+
+The MEF Client supports the CERT\_PROV *cmdClass*, and the MEF Client parsed the *cmdArgs* element, but was unable to perform the command due to some error regarding communicating with the Certificate Provisioning server or an error internal to the Certificate Provisioning server.
+
+##### **8.3.9.5.10 *cmdStatusCode* MEF\_CLIENT\_CMD\_CERT\_PROV\_CLIENT\_ERROR**
+
+The MEF Client supports the CERT\_PROV *cmdClass*, and the MEF Client parsed the *cmdArgs* element, but was unable to perform the command due to a processing error on the MEF Client.
+
+##### **8.3.9.5.11 *cmdStatusCode* MEF\_CLIENT\_CMD\_DEV\_CFG\_SERVER\_ERROR**
+
+The MEF Client supports the DEV\_CFG *cmdClass*, and the MEF Client parsed the *cmdArgs* element, but was unable to perform the command due to some error regarding communicating with the device configuration server or an error internal to the device configuration server.
+
+##### **8.3.9.5.12 *cmdStatusCode* MEF\_CLIENT\_CMD\_DEV\_CFG\_CLIENT\_ERROR**
+
+The MEF Client supports the DEV\_CFG *cmdClass*, and the MEF Client parsed the *cmdArgs* element, but was unable to perform the command due to some issue a processing error on the MEF Client.
+
+##### **8.3.9.5.13 *cmdStatusCode* MEF\_CLIENT\_CMD\_MO\_NODE\_NOT\_FOUND**
+
+The MEF Client supports the MO\_Node *cmdClass*, and parsed the *cmdArgs* element, but could not find the MO node at the *objectPath* element in the MEF Client command arguments.
+
+##### **8.3.9.5.14 *cmdStatusCode* MEF\_CLIENT\_CMD\_MO\_NODE\_TYPE\_CONFLICT**
+
+The MEF Client supports the MO\_Node *cmdClass*, parsed the *cmdArgs* element, and found the MO node at the *objectPath* element, but the type of the MO Node does not match the *objectType* element in the MEF Client command arguments.
+
+##### **8.3.9.5.15 *cmdStatusCode* MEF\_CLIENT\_CMD\_MO\_NODE\_BAD\_ARGS**
+
+The MEF Client supports the MO\_Node *cmdClass*, parsed the *cmdArgs* element, and found the MO node at the *objectPath* element, and the type of the MO Node matches the *objectTypeID* element, but the MEF Client could not parse the *objectTypeSpecificArgs* element.
+
+##### **8.3.9.5.16 *cmdStatusCode* MEF\_CLIENT\_CMD\_MO\_NODE\_UNACCEPTABLE\_ARGS**
+
+The MEF Client supports the MO\_Node *cmdClass*, parsed the *cmdArgs* element, and found the MO node at the *objectPath* element, and the type of the MO Node matches the *objectType* element, and the MEF Client could not parse the *objectTypeSpecificArgs* element but the remaining MO-type-specific arguments in MEF Client command arguments are unacceptable to the MEF Client.
+
+##### **8.3.9.5.17 *cmdStatusCode* MEF\_CLIENT\_CMD\_MO\_NODE\_INCONSISTENT\_CONFIG**
+
+The MEF Client supports the MO\_Node *cmdClass*, parsed the *cmdArgs* element, and found the MO node at the *objectPath* element, and the type of the MO Node matches the *objectTypeID* element, and
+
+the remaining MO-type-specific arguments in MEF Client command arguments are acceptable, but the configuration of the MO nodes is inconsistent and preventing MO Node processing.
+
+##### 8.3.9.5.18 *cmdStatusCode* MEF\_CLIENT\_CMD\_MO\_NODE\_PROCESSING\_FAILED
+
+The MEF Client supports the MO\_Node *cmdClass*, parsed the *cmdArgs* element, and found the MO node at the *objectPath* element, and the type of the MO Node matches the *objectType* element, and the remaining MO-type-specific arguments in MEF Client command arguments are acceptable, but there has been some other error in executing the MO Node processing.
+
+#### 8.3.9.6 NO\_MORE\_COMMANDS MEF Client command class-specific processes
+
+**Purpose:** When *cmdClassID* indicates NO\_MORE\_COMMANDS, then the MEF is indicating that it has no more MEF Client commands for the MEF Client.
+
+**Elements of *cmdArgs*:** If *cmdDescription* contains *cmdClassID* indicating NO\_MORE\_COMMANDS, then *cmdArgs* shall contain the *noMoreCmdArgs* element of data type sec:noMoreCmdArgs which includes the following elements:
+
+*retryDuration*: indicating a time duration, after which the MEF Client is expected to attempt MEF Client command Retrieve. The *retryDuration* is cancelled if the MEF Client successfully performs another MEF Client command procedure, within the scope of the MEF Client Registration, before the *retryDuration* completes. See clause 8.3.4.6 for other mechanisms which can trigger MEF Client command procedures.
+
+**Forming *cmdDescription*:** The MEF shall form *cmdArgs* containing the elements described in "Elements of *cmdArgs*" above:
+
+*retryDuration*: set to the time duration before the MEF wishes the MEF Client to attempt the next MEF Client command Retrieve, with the understanding that the *retryDuration* is cancelled if the MEF Client successfully performs another MEF Client command procedure.
+
+The MEF shall form *cmdDescription* with *cmdClassID* indicating NO\_MORE\_COMMANDS and *cmdArgs* formed in step 1.
+
+**Parsing and executing *cmdArgs*:** The MEF Client shall attempt to parse *cmdArgs* into the elements described in "Elements of *cmdArgs*". If the parsing succeeds, then the MEF Client proceeds to step 4. If parsing fails, then the MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_BAD\_ARGUMENTS.
+
+The MEF Client MEF Client command will not perform a MEF Client command Retrieve procedure or MEF Client command Update procedure unless triggered.
+
+The MEF Client shall set a timer based on *retryDuration*.
+
+The timer shall be cancelled if, by some other mechanism as described in clause 8.3.4.6, the MEF Client is triggered to perform an MEF Client command Retrieve procedure or MEF Client command Update procedure before the timer expires.
+
+If the time expires, then the MEF Client shall perform an MEF Client command Retrieve procedure, (clause 8.3.9.2), at some time selected by the MEF Client.
+
+#### 8.3.9.7 CERT\_PROV MEF Client command class-specific processes
+
+**Purpose:** When *cmdClassID* indicates CERT\_PROV, then the MEF is indicating that the MEF Client is to perform a certificate provisioning procedure with the MEF.
+
+**Elements of *cmdArgs*:** If *cmdDescription* contains *cmdClassID* indicating CERT\_PROV, then the *cmdArgs* shall contain the *certProvArgs* element of data type sec:certProvArgs which includes the following elements:
+
+*certProvProtocol*: Indicating the certificate provisioning protocol (EST or SCEP) that the MEF Client is to use.
+
+*URI*: Indicating the base URI to be used for the indicated certificate provisioning protocol.
+
+*certSubjectType*: Indicating if the subject of the provisioned certificate will be a Node, CSE or AE.
+
+*certSubjectID*: The Node-ID or CSE-ID or AE-ID of the subject of the certificate.
+
+**Forming *cmdDescription***: The MEF shall form *cmdArgs* containing the elements described in "Elements of *cmdArgs*" above:
+
+*certProvProtocol*: The MEF shall assign this element to indicate the protocol (EST or SCEP) that the MEF Client is to use for certificate provisioning.
+
+*URI*: The MEF shall assign this element to base URI to be used for the indicated certificate provisioning protocol. The FQDN of the base URI shall match the FQDN of the MEF issuing the MEF Client command.
+
+*certSubjectType*: The MEF Client shall assign this element to indicate if the subject of the provisioned certificate will be a Node, CSE or AE.
+
+*certSubjectID*: The MEF shall assign this element to be the Node-ID or CSE-ID or AE-ID of the subject of the certificate.
+
+The MEF shall form *cmdDescription* with *cmdClassID* indicating CERT\_PROV and *cmdArgs* formed in step 1.
+
+**Parsing and executing *cmdArgs***: See step 3 in clause 8.3.9.6.
+
+The MEF Client shall verify that the *cmdArgs* elements are acceptable:
+
+*certProvProtocol*: Verification of this element succeeds only if the indicated protocol (EST or SCEP) is supported by the MEF Client. If verification succeeds, then the MEF Client selects the certificate provisioning protocol indicated by the element.
+
+*URI*: Verification of this element succeeds only if the FQDN of the base URI matches the FQDN of the MEF issuing the MEF Client command. If verification succeeds, then the MEF Client set the base URI to the value in this element.
+
+*certSubjectType*: If the MEF Client is in a Node acting on behalf of a CSE and/or multiple AE then verification of this element succeeds only if the value indicates a Node, CSE or AE.
+
+If the MEF Client is in a CSE, then verification of this element succeeds only if the value indicates a CSE.
+
+If the MEF Client is in a CSE, then verification of this element succeeds only if the value indicates a CSE.
+
+If verification succeeds, then the MEF Client records the *certSubjectType* as the certificate subject type.
+
+*certSubjectID*: Verification of this element depends on the value of *certSubjectType*:
+
+If *subjectType* indicates a Node, then verification of this element succeeds only if the value is a Node-ID.
+
+If *certSubjectType* indicates a CSE, then verification of this element succeeds only if the value is a AE-ID.
+
+If *certSubjectID* indicates a AE, then verification of this element succeeds only if the value is a CSE-ID.
+
+If verification succeeds, then the MEF Client records the *certSubjectID* as the certificate subject identity.
+
+If the verification of any argument fails, then the MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_UNACCEPTABLE\_ARGUMENTS.
+
+The MEF Client shall attempt executing the selected certificate provisioning procedure (EST specified in clause 8.3.6.2 or SCEP specified in clause 8.3.6.3), with base URI, certificate subject type and certificate subject identity as determined in step 4. The certificate subject identity shall be provided in the SubjectAltName extension of the certificate signing request.
+
+Following the attempt to execute the selected certificate provisioning procedure, the MEF Client shall perform the MEF Client command Update procedure with *cmdID* assigned to the *cmdID* of the received command and *cmdStatusCode* assigned as follows:
+
+If the certificate provisioning procedure completed successfully, then the MEF Client shall set *cmdStatusCode* to the value for MEF\_CLIENT\_CMD\_OK.
+
+If the certificate provisioning procedure did not complete successfully due to an error regarding communicating with the certificate provisioning server or an error internal to the certificate provisioning server, then the MEF Client shall set *cmdStatusCode* to the value for MEF\_CLIENT\_CMD\_CERT\_PROV\_SERVER\_ERROR.
+
+If the certificate provisioning procedure did not complete successfully due to an error occurring in the certificate provisioning Client (in the MEF Client), then the MEF Client shall set *cmdStatusCode* to the value for MEF\_CLIENT\_CMD\_CERT\_PROV\_CLIENT\_ERROR.
+
+#### 8.3.9.8 DEV\_CFG MEF Client command class-specific processes
+
+**Purpose:** When *cmdClassID* indicates DEV\_CFG, then the MEF is indicating that the MEF Client is to perform a device configuration ([ITU-T Y.4500.22]) with the MEF Client acting as the DM Client and the MEF acting as the DM server.
+
+**Elements of *cmdArgs*:** If *cmdDescription* contains *cmdClassID* indicating DEV\_CFG, then the *cmdArgs* shall contain the *devCfgArgs* element which includes the following elements:
+
+*devMgmtID*: Indicating the DM protocol (e.g., OMA DMv1.3, OMA DMv2.0, OMA LwM2M, BBF TR-069) that the MEF Client is to use for device configuration.
+
+*URI*: URI of the DM server.
+
+**Forming *cmdDescription*:** The MEF shall form *cmdArgs* containing the elements described in "Elements of *cmdArgs*" above:
+
+*devMgmtID*: The MEF shall assign this element to indicate the protocol (e.g., OMA DMv1.3, OMA DMv2.0, OMA LwM2M, BBF TR-069) that the MEF Client is to use for device configuration.
+
+*URI*: The MEF shall assign this element to the URI of the DM server. The FQDN of the base URI shall match the FQDN of the MEF issuing the MEF Client command.
+
+The MEF shall form *cmdDescription* with *cmdClassID* indicating DEV\_CFG and *cmdArgs* formed in step 1.
+
+**Parsing and executing *cmdArgs*:** See step 3 in clause 8.3.9.6.
+
+The MEF Client shall verify that the *cmdArgs* elements are acceptable:
+
+*devMgmtID*: Verification of this element succeeds only if the indicated protocol (e.g., OMA DMv1.3, OMA DMv2.0, OMA LwM2M, BBF TR-069) is supported by the MEF Client. If verification succeeds, then the MEF Client selects the DM protocol indicated by the element.
+
+*URI*: Verification of this element succeeds only if the FQDN of the base URI matches the FQDN of the MEF issuing the MEF Client command. If verification succeeds, then the MEF Client set the DM server URI to the value in this element.
+
+If the verification of any argument fails, then the MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_UNACCEPTABLE\_ARGUMENTS.
+
+The MEF Client shall attempt executing device configuration per [ITU-T Y.4500.22] using the DM protocol and DM server URI determined in step 4.
+
+Following the attempt to execute device configuration, the MEF Client shall perform the MEF Client command Update procedure with *cmdID* assigned to the *cmdID* of the received command and *cmdStatusCode* assigned as follows:
+
+If the device configuration procedure completed successfully, then the MEF Client shall set *cmdStatusCode* to the value for MEF\_CLIENT\_CMD\_OK.
+
+If the device configuration procedure did not complete successfully due to an error regarding communicating with the DM server or an error internal to the DM server, then the MEF Client shall set *cmdStatusCode* to the value for MEF\_CLIENT\_CMD\_DEV\_CFG\_SERVER\_ERROR.
+
+If the device configuration procedure did not complete successfully due to an error occurring in the DM Client (in the MEF Client), then the MEF Client shall set *cmdStatusCode* to the value for MEF\_CLIENT\_CMD\_DEV\_CFG\_CLIENT\_ERROR.
+
+#### 8.3.9.9 MO\_NODE MEF Client command class-specific processes
+
+##### 8.3.9.9.1 Generic MO\_NODE processes
+
+**Purpose:** When *cmdClassID* indicates MO\_NODE, then the MEF is indicating that the MEF Client is to process an MO\_NODE that has been already configured to the DM Client of the MEF Client (e.g., using device configuration in [ITU-T Y.4500.22]).
+
+**Elements of *cmdArgs*:** If *cmdDescription* contains *cmdClassID* indicating MO\_NODE, then the *cmdArgs* shall contain the *MONodeCmdArgs* element which includes the following elements:
+
+*objectPath*: the path of the MO node to be processed.
+
+*objectTypeID*: indicating the type of the specialization of the <*mgmtObj*> resource which provides the data model for the MO node to be processed.
+
+(Optional) *objectTypeSpecificArgs*: additional arguments dependent on type of the specialization of the <*mgmtObj*> resource (see *objectTypeID*):
+
+If *objectTypeID* matches the [*authenticationProfile*] specialization of the <*mgmtObj*>resource, then *objectTypeSpecificArgs* is present, and is defined in clause 8.3.9.9.2.
+
+For all other specializations, this element is not present.
+
+**Forming *cmdDescription*:** The MEF shall form *cmdArgs* containing the elements described in "Elements of *cmdArgs*" above:
+
+*objectPath*: The MEF shall assign this element to the path of the MO node to be processed.
+
+*objectTypeID*: The MEF shall assign this element to the identifier of the type of MO node to be processed.
+
+(Optional) *objectTypeSpecificArgs*: If *objectTypeID* matches the [*authenticationProfile*] specialization of the <*mgmtObj*>resource, then *objectTypeSpecificArgs* is formed as specified in "Forming *objectTypeSpecificArgs*" in clause 8.3.9.9.2.
+
+For all other specializations, this element is not present.
+
+The MEF shall form *cmdDescription* with *cmdClassID* indicating MO\_NODE and *cmdArgs* formed in step 1.
+
+**Parsing and executing *cmdArgs*:** See step 3 in clause 8.3.9.6.
+
+The MEF Client shall verify that the *cmdArgs* elements are acceptable:
+
+*objectPath*: Verification of these elements succeeds only if there is an MO node addressed by the *objectPath*. If verification succeeds the MEF Client proceeds to step 4b. If the verification of this argument fails, then the MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_MO\_NODE\_NOT\_FOUND.
+
+*objectTypeID*: Verification of these elements succeeds only if *objectTypeID* matches the type MO node addressed by the *objectPath* (see step 4a). If verification succeeds the MEF Client proceeds to step 5. If the verification of this argument fails, then the MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_MO\_NODE\_TYPE\_CONFLICT.
+
+The MEF Client applies the processing specific to the *objectTypeID*:
+
+If *objectTypeID* matches the [*authenticationProfile*] specialization of the <*mgmtObj*> resource, then the MEF Client shall perform "Processing an [*authenticationProfile*] MO Node" in clause 8.3.9.9.2.
+
+If *objectTypeID* matches the [*trustAnchorCred*] specialization of the <*mgmtObj*> resource, then the MEF Client shall perform "Processing a [*trustAnchorCred*] MO Node" in clause 8.3.9.9.7.
+
+If *objectTypeID* matches the [*MAFClientCfgReg*] specialization of the <*mgmtObj*> resource, then the MEF Client perform "Processing a [*MAFClientCfgReg*] MO Node" in clause 8.3.9.9.8.
+
+##### **8.3.9.9.2 [*authenticationProfile*]-specific processes**
+
+**Purpose:** Processing an [*authenticationProfile*] MO node ensures that the MEF Client has been able to establish the credentials needed to use that [*authenticationProfile*] MO node for mutual authentication.
+
+**Elements of *objectTypeSpecificArgs*:** when *objectTypeID* matches the [*authenticationProfile*] specialization of the <*mgmtObj*> resource, then the *objectTypeSpecificArgs* element shall be present and shall contain the *authProfileMONodeArgs* element which includes the following elements:
+
+*SUID*: this value matches the SUID in the addressed MO Node.
+
+**Forming *objectTypeSpecificArgs*:** The MEF shall form *objectTypeSpecificArgs* containing *authProfileMONodeArgs* with the elements described in "Elements of *objectTypeSpecificArgs*" above:
+
+*SUID*: The MEF shall assign this element to the value in the *SUID* element expected to be in the MO node located at the *objectPath* on the MEF Client.
+
+**Processing an [*authenticationProfile*] MO Node:** The MEF Client shall attempt to parse *objectTypeSpecificArgs* into the elements described in "Elements of *objectTypeSpecificArgs*". If the parsing succeeds, then the MEF Client proceeds to step 3. If parsing fails, then the MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_MN\_NODE\_BAD\_ARGS.
+
+The MEF Client shall verify that the *objectTypeSpecificArgs* elements are acceptable:
+
+*SUID*: Verification succeeds if the SUID in *objectTypeSpecificArgs* matches the *SUID* in the addressed MO\_NODE.
+
+If *objectTypeSpecificArgs* elements verification succeeds, then the MEF Client proceeds to step 5. If *objectTypeSpecificArgs* elements verification fails for any element, then the MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_MO\_NODE\_UNACCEPTABLE\_ARGS.
+
+The MEF Client shall verify that the *SUID* matches the configuration of the [*authenticationProfile*] MO Node and its parent and child MO Nodes:
+
+If the *SUID* is in the set {11, 21, 31, 41}, then verification shall fail if the parent MO Node of the [*authenticationProfile*] MO Node does not correspond to the [*MAFClientRegCfg*] specialization of the <*mgmtObj*> resource.
+
+If the *SUID* is in the set {12, 22, 32, 42}, then verification shall fail if the parent MO Node of the [*authenticationProfile*] MO Node does not correspond to the [*registration*] specialization of the <*mgmtObj*> resource.
+
+If the *SUID* is in the set {13, 23, 33, 43}, then verification shall fail if the parent MO Node of the [*authenticationProfile*] MO Node does not correspond to the [*dataCollection*] specialization of the <*mgmtObj*> resource.
+
+If the *SUID* is in the set {11,12,13}, then verification shall fail if the *symmKeyID* attribute is not present in the [*authenticationProfile*] MO Node.
+
+If the *SUID* is in the set {21,22,23}, then verification shall fail if:
+
+The *keyRegDuration* attribute is not present in the [*authenticationProfile*] MO Node, or
+
+The child MO Node of the [*authenticationProfile*] MO Node does not correspond to the [*MEFClientRegCfg*] specialization of the <*mgmtObj*> resource.
+
+If the *SUID* is in the set {31,32,33}, then verification shall fail if:
+
+The *keyRegDuration* attribute is not present in the [*authenticationProfile*] MO Node, or
+
+The child MO Node of the [*authenticationProfile*] MO Node does not correspond to the [*MAFClientRegCfg*] specialization of the <*mgmtObj*> resource.
+
+If the *SUID* is in the set {11, 12, 21, 22, 31, 32}, then verification shall fail if:
+
+The *TLSCiphersuites* attribute is not present in the [*authenticationProfile*] MO Node, or
+
+The *TLSCiphersuites* attribute is present but does not include the mandatory DTLS or TLS Ciphersuites for TLS-PSK-Based security frameworks in clause 10.2.2.
+
+If the *SUID* is in the set {41, 42, 43}, then verification shall fail if:
+
+The *myCertFingerprint* attribute is not present in the [*authenticationProfile*] MO Node, or
+
+The *TLSCiphersuites* attribute is not present in the [*authenticationProfile*] MO Node or the *TLSCiphersuites* attribute is present but does not include the mandatory DTLS or TLS Ciphersuites for Certificate-Based security frameworks in clause 10.2.3, or
+
+The [*authenticationProfile*] MO Node has one or more child MO nodes corresponding to the [*trustAnchorCred*] specialization of the <*mgmtObj*> resource.
+
+If verification succeeds, then the MEF Client proceeds to step 5. If the verification of this argument fails for any element, then the MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_MO\_NODE\_INCONSISTENT\_CONFIG.
+
+The MEF Client applies the processing specific to the *SUID*:
+
+If the *SUID* is in the set {11,12,13}, corresponding to a pre-provisioned symmetric key SUID, then the MEF Client performs "Process [*authenticationProfile*] MO Node with pre-provisioned symmetric key SUID" in clause 8.3.9.9.3.
+
+If the *SUID* is in the set {21,22,23}, corresponding to a MEF-established symmetric key SUID, then the MEF Client performs "Process [*authenticationProfile*] MO Node with MEF-established symmetric key SUID" in clause 8.3.9.9.4.
+
+If the *SUID* is in the set {31,32,33}, corresponding to a MAF-established symmetric key SUID, then the MEF Client performs "Process [authenticationProfile] MO Node with MAF-established symmetric key SUID" in clause 8.3.9.9.5.
+
+If the *SUID* is in the set {41,42,43}, corresponding to a certificate SUID, then the MEF Client performs "Process [authenticationProfile] MO Node with certificate SUID" in clause 8.3.9.9.6.
+
+##### **8.3.9.9.3 Process [authenticationProfile] MO Node with pre-provisioned symmetric key**
+
+**Purpose:** Processing an [authenticationProfile] MO node with pre-provisioned symmetric key SUID (in the set {11, 12, 13}) ensures that the MEF Client has access to a local copy of the pre-provisioned symmetric key, for subsequent use with the [authenticationProfile] MO node.
+
+**Preconditions:** This procedure will succeed only if there is a local copy of the pre-provisioned symmetric key value which can be accessed by the MEF.
+
+**Procedure:** The MEF Client shall determine if the *symmKeyValue* attribute is present in the [authenticationProfile] MO node.
+
+If the attribute is not present, then the MEF Client shall proceed to step 2.
+
+If the attribute is present, then the MEF Client has access to the pre-provisioned symmetric key value. The MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_OK.
+
+The MEF Client obtains the value of the *symmKeyID* attribute of the [authenticationProfile] MO node. The MEF Client determines if the MEF Client has a local copy of the symmetric key value with identifier matching the *symmKeyID* attribute.
+
+If a local copy of the symmetric key value is not present, then the MEF Client does not have access to the pre-provisioned symmetric key value. The MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_MO\_NODE\_PROCESSING\_FAILED.
+
+If a local copy of the symmetric key value is present, then the MEF Client has access to the pre-provisioned symmetric key value. The MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_OK.
+
+##### **8.3.9.9.4 Process [authenticationProfile] MO Node with MEF-established symmetric key**
+
+**Purpose:** Processing an [authenticationProfile] MO node with MEF-established symmetric key SUID (in the set {21, 22, 23}) ensures that the MEF Client establishes a symmetric key with the MEF for subsequent use with the [authenticationProfile] MO node.
+
+**Preconditions:** This procedure will succeed only if the [authenticationProfile] MO node has a child [MEFClientRegCfg] MO node and a parent MO Node which may be of type [MAFClientRegCfg], [registration] or [dataCollection].
+
+This procedure assumes that the MEF Client has a currently-valid MEF Client Registration with the MEF and administrating stakeholder identified in the child [MEFClientRegCfg] MO node.
+
+**Procedure:** The MEF Client shall attempt the MEF Key registration procedure as described in clause 8.3.5.2.7, with the MEF Client acting as the source MEF Client and with following clarifications:
+
+At step 4 in clause 8.3.5.2.7, the MEF Client shall form the MEF key registration request (see Table 8.3.5.2.7-1) as follows:
+
+*MEFFQDN*: Shall be set to the value of the *fqdn* attribute in the child [MEFClientRegCfg] MO node;
+
+*expirationTime*: Shall be computed by adding the current time to the value of the *keyRegDuration* in the [authenticationProfile] MO node;
+
+*labels*: Shall be assigned the value of the *keyRegLabels* attribute in the [*authenticationProfile*] MO node;
+
+*adminFQDN*: Shall be assigned to the value of the *adminFQDN* attribute in the child [*MEFClientRegCfg*] MO node;
+
+*SUID*: Shall be assigned to the value of the *SUID* attribute in the child [*authenticationProfile*] MO node;
+
+*targetIDs*: Shall be assigned according to the parent MO node of the [*authenticationProfile*] MO node.
+
+In the case of a parent [*registration*] MO node, the *targetIDs* shall be assigned the CSE-ID of the Registrar CSE.
+
+In the case of a parent [*dataCollection*] MO node, the *targetIDs* shall be assigned the CSE-ID determined from the *containerPath* attribute of the [*dataCollection*] MO node.
+
+In the case of a parent [*MAFClientRegCfg*] MO node, the *targetIDs* shall be assigned the *fqdn* attribute of the [*MAFClientRegCfg*] MO node.
+
+*keyValue*: Shall not be present.
+
+The MEF Client shall select a protocol (HTTP, CoAP, WebSocket) based on the protocol(s) supported by the MEF Client, and the protocol(s) supported by the MEF as indicated by the presence of the *httpPort*, *coapPort* and *websocketPort* in the child [*MEFClientRegCfg*] MO node. The MEF Client shall use the port number provided in the appropriate *httpPort*, *coapPort* or *websocketPort* attribute of the child [*MEFClientRegCfg*] MO node.
+
+At step 10 in clause 8.3.5.2.7, if the MEF Client receives a successful MEF key registration response (see Table 8.3.5.2.7-2) then the MEF Client shall verify the following information received in the MEF key registration response:
+
+*expirationTime*: Verification fails if this value is prior to the time when verification is performed.
+
+*Source MEF Client ID*: Verification fails if this value is distinct from the identifier of the MEF Client.
+
+*adminFQDN*: Verification fails if this value is distinct from the corresponding value sent in the MEF key registration request in step 4 of clause 8.3.5.2.7.
+
+*SUID*: Verification fails if this value is distinct from the corresponding value sent in the MEF key registration request in step 4 of clause 8.3.5.2.7.
+
+*targetIDs*: Verification fails if this value is distinct from the corresponding value sent in the MEF key registration request in step 4 of clause 8.3.5.2.7.
+
+If verification succeeds, then the MEF Client shall store the information in the MEF key registration response and associate this information with the [*authenticationProfile*] MO node. The MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_OK.
+
+If verification fails, or if procedure fails for any other reason, then the MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_MO\_NODE\_PROCESSING\_FAILED.
+
+##### **8.3.9.9.5 Process [*authenticationProfile*] MO Node with MAF-established symmetric key**
+
+**Purpose:** Processing an [*authenticationProfile*] MO node with MEF-established symmetric key SUID (in the set {31,32,33}) ensures that the MEF Client, acting as a source MAF Client, establishes a symmetric key with the MAF for subsequent use with the [*authenticationProfile*] MO node.
+
+**Preconditions:** This procedure will succeed only if the [*authenticationProfile*] MO node has a child [*MAFClientRegCfg*] MO node and a parent MO Node which may be of type [*registration*] or [*dataCollection*].
+
+This procedure assumes that the MEF Client, acting as an MAF Client, has a currently-valid MAF Client Registration with the MAF and administrating stakeholder identified in the child [*MAFClientRegCfg*] MO node.
+
+**Procedure:** The MEF Client shall attempt the MAF Key registration procedure as described in clause 8.8.2.7, with the MAF Client acting as the source MAF Client and with following clarifications:
+
+At step 4 in clause 8.8.2.7, the MEF Client shall form the MAF key registration request (see Table 8.8.2.7-1) as follows:
+
+*MAF-FQDN*: Shall be set to the value of the *fqdn* attribute in the child [*MAFClientRegCfg*] MO node;
+
+*expirationTime*: Shall be computed by adding the current time to the value of the *keyRegDuration* in the [*authenticationProfile*] MO node;
+
+*labels*: Shall be assigned the value of the *keyRegLabels* attribute in the [*authenticationProfile*] MO node;
+
+*adminFQDN*: Shall be assigned to the value of the *adminFQDN* attribute in the child [*MAFClientRegCfg*] MO node;
+
+*SUID*: Shall be assigned to the value of the *SUID* attribute in the child [*authenticationProfile*] MO node;
+
+*targetIDs*: Shall be assigned according to the parent MO node of the [*authenticationProfile*] MO node.
+
+In the case of a parent [*registration*] MO node, the *targetIDs* shall be assigned the CSE-ID of the Registrar CSE.
+
+In the case of a parent [*dataCollection*] MO node, the *targetIDs* shall be assigned the CSE-ID determined from the *containerPath* attribute of the [*dataCollection*] MO node.
+
+*keyValue*: Shall not be present.
+
+The MEF Client shall select a protocol (HTTP, CoAP, WebSocket) based on the protocol(s) supported by the MAF Client, and the protocol(s) supported by the MAF is indicated by the presence of the *httpPort*, *coapPort* and *websocketPort* in the child [*MAFClientRegCfg*] MO node. The MEF Client shall use the port number provided in the appropriate *httpPort*, *coapPort* or *websocketPort* attribute of the child [*MAFClientRegCfg*] MO node.
+
+At step 10 in clause 8.8.2.7, if the MEF Client receives a successful MAF key registration response (see Table 8.8.2.7-2) then the MEF Client shall verify the following information received in the MAF key registration response:
+
+*expirationTime*: Verification fails if this value is prior to the time when verification is performed.
+
+*Source MEF Client ID*: Verification fails if this value is distinct from the identifier of the MEF Client.
+
+*adminFQDN*: Verification fails if this value is distinct from the corresponding value sent in the MEF key registration request in step 4 of clause 8.8.2.7.
+
+*SUID*: Verification fails if this value is distinct from the corresponding value sent in the MEF key registration request in step 4 of clause 8.8.2.7.
+
+*targetIDs*: Verification fails if this value is distinct from the corresponding value sent in the MEF key registration request in step 4 of clause 8.8.2.7.
+
+If verification succeeds, then the MEF Client shall store the information in the MEF key registration response and associate this information with the [*authenticationProfile*] MO node. The MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_OK.
+
+If verification fails, or if procedure fails for any other reason, then the MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_MO\_NODE\_PROCESSING\_FAILED.
+
+##### 8.3.9.9.6 Process [*authenticationProfile*] MO Node with certificate
+
+**Purpose:** Processing an [*authenticationProfile*] MO node with certificate SUID (in the set {41,42,43}) ensures that the MEF Client has access to a local copy of the MEF Client's certificate and corresponding private key, for subsequent use with the [*authenticationProfile*] MO node.
+
+**Preconditions:** This procedure will succeed only if the Node has been provisioned with the certificate matching the *myCertFingerprint* attribute in the [*authenticationProfile*] MO node.
+
+**Procedure:** The MEF Client obtains the value of the *myCertFingerprint* attribute in the [*authenticationProfile*] MO node. The MEF Client determines if it has a local copy of a certificate corresponding private key with the certificate matching the *myCertFingerprint* attribute corresponding private key.
+
+If a local copy of the certificate and corresponding private key are not present, then the MEF Client associates the certificate and corresponding private key with the [*authenticationProfile*] MO node for subsequent use. The MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_MO\_NODE\_PROCESSING\_FAILED.
+
+If a local copy of the certificate and corresponding private key are present, then the MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_OK.
+
+##### 8.3.9.9.7 [*trustAnchorCred*]-specific processes
+
+**Purpose:** Processing a [*trustAnchorCred*] MO node ensures that the MEF Client has a local copy of the trust anchor CA certificate identified by the [*trustAnchorCred*] MO node.
+
+**Elements of *objectTypeSpecificArgs*:** The *objectTypeSpecificArgs* element is not present for the [*trustAnchorCred*] specialization.
+
+**Processing a [*trustAnchorCred*] MO Node:** The MEF Client retrieves the value of the *certFingerprint* attribute of the [*trustAnchorCred*] MO Node. The MEF Client determines if the MEF Client has a local copy of a certificate matching the *certFingerprint* attribute.
+
+If a local copy of the certificate is present, then the MEF Client associates the certificate with the [*trustAnchorCred*] MO node for subsequent use. The MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_OK.
+
+If a local copy of the certificate is not present, then the MEF Client proceeds to step 2. The MEF Client obtains the value of the *URI* attribute of the [*trustAnchorCred*] MO Node. The MEF Client attempts to retrieve the trust anchor certificate by performing a HTTPS GET procedure towards the *URI*.
+
+If the HTTPS GET procedure is not successful, then the MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_MO\_NODE\_PROCESSING\_FAILED.
+
+If the HTTPS GET procedure is successful, then the MEF Client extracts the payload. The MEF Client parses the payload to determine if it is a certificate, and if parsing succeeds, then the MEF Client verifies that the received certificate matches the *certFingerprint* attribute of the [*trustAnchorCred*] MO Node.
+
+If parsing succeeds and the received certificate matches the *certFingerprint* attribute of the [*trustAnchorCred*] MO Node, then the MEF Client associates the certificate with the [*trustAnchorCred*] MO node for subsequent use. The MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_OK.
+
+Otherwise, the MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_MO\_NODE\_PROCESSING\_FAILED.
+
+##### 8.3.9.9.8 [*MAFClientRegCfg*]-specific processes
+
+**Purpose:** Processing an [*MAFClientRegCfg*] MO node ensures that the MEF Client, acting as an MAF Client, has successfully registered with the MAF using the attributes in the [*MAFClientRegCfg*] MO node.
+
+**Elements of *objectTypeSpecificArgs*:** The *objectTypeSpecificArgs* element is not present for the [*MAFClientRegCfg*] specialization.
+
+**Processing an [*MAFClientRegCfg*] MO Node:** The MEF Client shall attempt the MAF Client registration procedure as described in clause 8.8.2.3, with the MAF Client acting as the source MAF Client and with following clarifications:
+
+At step 2 in clause 8.8.2.3, the MEF Client shall form the MAF Client Registration Request (see Table 8.8.2.3-1) from the attributes of the [*MAFClientRegCfg*] MO node as follows:
+
+*MAF-FQDN*: Shall be set to the value of the *fqdn* attribute;
+
+*expirationTime*: Shall be assigned to the value of *expirationTime* attribute;
+
+*labels*: Shall be assigned the value of the *labels* attribute;
+
+*adminFQDN*: shall be assigned to the value of the *adminFQDN* attribute.
+
+The MEF Client shall select a protocol (HTTP, CoAP, WebSocket) based on the protocol(s) supported by the MAF Client, and the protocol(s) supported by the MAF is indicated by the presence of the *httpPort*, *coapPort* and *websocketPort* in the child [*MAFClientRegCfg*] MO node. The MEF Client shall use the port number provided in the appropriate *httpPort*, *coapPort* or *websocketPort* attribute of the child [*MAFClientRegCfg*] MO node.
+
+At step 3 in clause 8.8.2.3, If the MEF Client receives a successful MEF key registration response (see Table 8.8.2.3-2) then the MEF Client shall verify the following information received in the MEF key registration response:
+
+*expirationTime*: Verification fails if this value is prior to the time when verification is performed.
+
+*MAF Client ID*: Verification fails if this value is distinct from the identifier of the MEF Client.
+
+*adminFQDN*: Verification fails if this value is distinct from the corresponding value sent in the MEF key registration request in step 2 of clause 8.8.2.3.
+
+If verification succeeds, then the MEF Client shall store the information in the MEF key registration response and associate this information with the [*MAFClientRegCfg*] MO node. The MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_OK.
+
+If verification fails, or if the procedure fails for any other reason, then the MEF Client exits the procedure, triggering the MEF Client command Update procedure for this *cmdID* with *cmdStatusCode* set to the value for MEF\_CLIENT\_CMD\_MO\_NODE\_PROCESSING\_FAILED.
+
+## **8.4 End-to-end security of primitives (ESPrim)**
+
+### **8.4.1 Purpose of E2E security of primitives (ESPrim)**
+
+End-to-end security of primitives (ESPrim) provides an interoperable framework for securing oneM2M primitives so CSEs (forwarding the primitive) do not need to be trusted with the confidentiality and integrity of the primitive. ESPrim provides mutual authentication, confidentiality, integrity protection and a freshness guarantee (bounding the age of ESPrim Objects).
+
+Applicable use cases and requirements are discussed in oneM2M TR-0012 [b-oneM2M TR0012].
+
+This Recommendation assumes that the ESPrim end-points are the Originator and Receiver of the primitive.
+
+This Recommendation specifies credential management aspects and data protection aspects for ESPrim. Transport of ESPrim Objects is described in [ITU-T Y.4500.1].
+
+### **8.4.2 End-to-end security of primitives (ESPrim) architecture**
+
+The credential management aspects and data protection aspects for ESPrim are specified in the present clause. Clause 11.3.2 of [ITU-T Y.4500.1] specifies the transport of ESPrim objects.
+
+The primitive to be secured is called the *inner primitive*, and the primitive which is used to transport a secured inner primitive is called the *outer primitive*. The inner primitive is protected using encryption and integrity protection which takes a symmetric key *sessionESPrimPrimKey* as input. The *sessionESPrimKey* is derived from a *pairwiseESPrimKey*, established between the Originator and Receiver, and a *receiverESPrimRandObject* and *originatorESPrimRandObject*.
+
+Sequence of events for ESPrim consists of three main phases:
+
+Establishing *pairwiseESPrimKey*.
+
+Establishing *sessionESPrimKey* at the Originator.
+
+Securing a primitive exchange.
+
+Figure 8.4.2-1 shows the ESPrim message flow for establishing *pairwiseESPrimKey* and *sessionESPrimKey* at the Originator. Figure 8.4.2-2 shows the ESPrim message flow for securing a primitive exchange.
+
+
+
+Originator CSE2 registered with Receiver Receiver
+
+**A. Establishing *pairwiseESPrimKey***
+
+**B. Establishing *sessionESPrimKey***
+
+(pre-gen option) B.1a. Generate *receiverESPrimRandObject*
+
+B.2a. Request *receiverESPrimRandObject* (pre-gen option) B.1b. *receiverESPrimRandObject*
+
+B.2b. (pre-gen option) *receiverESPrimRandObject* or (non-pre-gen option) nothing
+
+B.2c. if *receiverESPrimRandObject* is returned then jump to step B.2g
+
+B.2d. Request *receiverESPrimRandObject* B.2e. Generate *receiverESPrimRandObject*
+
+B.2f. *receiverESPrimRandObject*
+
+B.2g. Generate *originatorESPrimRandObject*
+
+B.2h. Generate *sessionESPrimKey* from *pairwiseESPrimKey*, *originatorESPrimRandObject* and *sharedReceiverESPrimRandObject*. Cache *sessionESPrimKey*
+
+**C. Securing Primitive Exchange**
+Shown in separate figure
+
+How often?
+
+Once only, or more often if desired
+
+Periodically. Typically multiple times per *pairwiseESPrimKey*. Typically less often than per exchange of inner request and response primitives
+
+Per exchange of inner request and response primitives
+
+Y.4500.3(23)
+
+Sequence diagram showing message flow for establishing pairwiseESPrimKey and sessionESPrimKey between Originator, CSE2 registered with Receiver, and Receiver. The diagram is divided into three main sections: A. Establishing pairwiseESPrimKey, B. Establishing sessionESPrimKey, and C. Securing Primitive Exchange. Section B includes steps B.1a through B.2h. A 'How often?' column on the right indicates frequency: 'Once only, or more often if desired' for step A, 'Periodically. Typically multiple times per pairwiseESPrimKey. Typically less often than per exchange of inner request and response primitives' for steps B.1a through B.2f, and 'Per exchange of inner request and response primitives' for step C. The reference Y.4500.3(23) is at the bottom right.
+
+**Figure 8.4.2-1 – Message flow for establishing *pairwiseESPrimKey* and establishing *sessionESPrimKey* at the Originator in the End-to-End Security of Primitives (ESPrim) Procedure**
+
+**A. Establishing *pairwiseESPrimKey*:** The *pairwiseESPrimKey* may be established using either of the following frameworks:
+
+**Provisioned *pairwiseESPrimKey* Framework:** The Originator and Receiver shall be provisioned with *pairwiseESPrimKey*. This credential shall be provisioned via one of:
+
+pre-provisioning;
+
+a remote security provisioning frameworks (RSPF), specified in clause 8.3; or
+
+End-to-end security certificate based key establishment (ESCertKE) between the Originator and Receiver, specified in clause 8.7 "End-to-end security certificate based key establishment (ESCertKE)".
+
+The Originator and Receiver also establish *pairwiseESPrimKeyID* and optionally *pairwiseESPrimKeyLifetime* during this process. If no *pairwiseESPrimKeyLifetime* is provided, then then *pairwiseESPrimKey* never expires. The Originator and Receiver cache the (*pairwiseESPrimKeyID*, *pairwiseESPrimKey*, (optional) *pairwiseESPrimKeyLifetime*) object to use for processing subsequent primitives.
+
+**MAF ESPrim framework:** The Originator and M2M authentication function (MAF) authenticate each other using symmetric keys (which may be pre-provisioned or remotely provisioned) and derive a M2M secure connection key (Kc) and corresponding key identifier (KcID). The Originator generates *pairwiseESPrimKey* from Kc and a reserved string. The value of KcID is used in phase C as the *pairwiseESPrimKeyID* in the JWE/XML-ENC object. The Originator caches the (*pairwiseESPrimKeyID*, *pairwiseESPrimKey*) pair to use for processing subsequent primitives. The
+
+Receiver retrieves Kc and a credential lifetime from the MAF after it receives an inner request primitive secured using the corresponding *pairwiseESPrimKey*' see step C.6.a.
+
+When *pairwiseESPrimKey* is established using the MAF option, then it typically has a shorter lifetime than the former option.
+
+**Receiver indicates support for ESPrim:** If Receiver supports ESPrim, the Receiver shall ensure the following for the Receiver's ** resource on all CSEs which are registered with the Receiver:
+
+The Receiver's ** resource shall include the *e2eSecInfo* attribute.
+
+The *e2eSecInfo* attribute in this resource shall indicate support for ESPrim.
+
+**B. Establishing *sessionESPrimKey* at the Originator:** The Receiver shall select to either (a) pre-generate a *receiverESPrimObject* which is distributed for use by multiple Originators for establishing *sessionESPrimKey*, or (b) generate a unique *receiverESPrimRandObject* upon request (in which case no action is required prior to receiving such a request). If the Receiver selects to generate a unique *receiverESPrimRandObject* upon request, then In the latter case, the Receiver shall ensure that the *sharedReceiverESPrimRandObject* parameter is not present in the *e2eSecInfo* attribute in the Receiver's ** resource on all CSEs which are registered with the Receiver. The absence of the *sharedReceiverESPrimRandObject* parameter indicates that the Receiver will provide a unique *receiverESPrimRandObject* upon request.
+
+**B.1 (If the Receiver selected to use pre-generation) Receiver pre-generation of *sharedReceiverESPrimRandObject*:** If the Receiver selected to pre-generate and distribute a *receiverESPrimRandObject*, the Receiver performs the following steps every time the Receiver wishes to provide a new shared *receiverESPrimRandObject*
+
+B.1a.1 The Receiver shall generate a *receiverESPrimRandObject* including the following parameters:
+
+The Receiver shall generate a 128-bit fresh random value *ESPrimRandValue*.
+
+The Receiver shall assign *ESPrimRandExpiry*, indicating when the *receiverESPrimRandObject* shall cease to be valid.
+
+The Receiver shall assign an *ESPrimRandID* for the *receiverESPrimRandObject* which shall satisfy the following criteria: (a) the *ESPrimRandID* shall indicate that the *receiverESPrimRandObject* is shared; (b) the *ESPrimRandID* shall be unique among the shared *receiverESPrimRandObject* issued by the Receiver and valid at the time of issuance. These criteria ensure that the *receiverESPrimRandObject* can be uniquely identified until it expires.
+
+The Receiver shall include a list of *sessionESPrimKeyGenerationAlgorithmID* values identifying the algorithms that the Receiver is willing to use for generating *sessionESPrimKey* using this *receiverESPrimRandObject*.
+
+The Receiver shall include a list of *AEADAlgorithmID* values identifying the AEAD algorithms that the Receiver is willing to use with this *receiverESPrimRandObject*.
+
+B.1b The Receiver shall update the *sharedReceiverESPrimRandObject* parameter of the *e2eSecInfo* attribute in the Receiver's ** resource on all CSEs which are registered with the Receiver.
+
+NOTE 1 – At a given point in time, multiple Originators will be using identical values for the current *sharedReceiverESPrimRandObject*.
+
+**B.2 Originator obtaining *receiverESPrimRandObject*:** The Originator shall perform the following steps whenever the Originator establishes a *sessionESPrimKey* with the Receiver:
+
+B.2a The Originator shall perform a Retrieve on the *e2eSecInfo* attribute in the Receiver's ** resource on a CSE, here denoted CSE2, which is registered with the Receiver.
+
+B.2b If the *e2eSecInfo* attribute is present in the Receiver's resource on CSE2, then CSE2 shall return the *e2eSecInfo* attribute. Otherwise CSE2 returns an error message to the Originator.
+
+B.2c The Originator determines if the Receiver supports ESPrim, which requires that the *e2eSecInfo* attribute is present and the *e2eSecInfo* attribute indicates support for ESPrim.
+
+B.2.c.1 If the Receiver does not support ESPrim, then the Originator shall abort the procedure.
+
+B.2c.2 If the Receiver supports ESPrim, and the *e2eSecInfo* attribute includes a *sharedReceiverESPrimRandObject* parameter, then the Originator examines the *ESPrimRandExpiry* in this parameter to determine if the *sharedReceiverESPrimRandObject* has expired. If the *sharedReceiverESPrimRandObject* has not expired, then the Originator shall set *receiverESPrimRandObject* to the value of *sharedReceiverESPrimRandObject* and proceeds to step B.2g. If the *sharedReceiverESPrimRandObject* has expired, then the Originator shall proceed to step B.2d.
+
+B.2c.3 If the Receiver supports ESPrim, and the *e2eSecInfo* attribute does not include a *sharedReceiverESPrimRandObject* parameter, then the Originator shall proceed to step B.2d.
+
+B.2d The Originator shall send a message to the Receiver requesting a *receiverESPrimRandObject*.
+
+B.2e The Receiver, upon receiving such a request, shall generate a *receiverESPrimRandObject* including the following parameters:
+
+The Receiver shall generate a 128-bit fresh random value *ESPrimRandValue*.
+
+The Receiver shall assign *ESPrimRandExpiry*, indicating when the *receiverESPrimRandObject* shall cease to be valid.
+
+The Receiver shall assign an *ESPrimRandID* for the *receiverESPrimRandObject* which shall satisfy the following criteria: (a) the *ESPrimRandID* shall indicate that the *receiverESPrimRandObject* is not shared; (b) the *ESPrimRandID* shall be unique among the non-shared *receiverESPrimRandObject* issued by the Receiver and valid at the time of issuance. These criteria ensure that the *receiverESPrimRandObject* can be uniquely identified until it expires.
+
+The Receiver shall include a list of *sessionESPrimKeyGenerationAlgorithmID* values identifying the algorithms that the Receiver is willing to use for generating *sessionESPrimKey* using this *receiverESPrimRandObject*.
+
+The Receiver shall include a list of *AEADAlgorithmID* values identifying the AEAD algorithms that the Receiver is willing to use with this *receiverESPrimRandObject*.
+
+B.2f The Receiver shall send a message to the Originator with the *receiverESPrimRandObject*.
+
+B.2g The Originator shall generate an *originatorESPrimRandObject* including the following parameters:
+
+- The Originator shall generate a 128-bit fresh random value *ESPrimRandValue*.
+- The Originator shall assign *ESPrimRandExpiry*, indicating when the *originatorESPrimRandObject* shall cease to be valid. The *ESPrimRandExpiry* shall not be later than the *ESPrimRandExpiry* in the *receiverESPrimRandObject* obtained in step B.2c or B.2f.
+- The Originator shall assign an *ESPrimRandID* for the *originatorESPrimRandObjectID* which shall satisfy the following criteria: (a) the *ESPrimRandID* shall indicate that the *originatorESPrimRandObject* is not shared; (b) the *ESPrimRandID* shall be unique among the non-shared *originatorESPrimRandObject* issued by the Originator and valid at the time of issuance. These criteria ensure that the *originatorESPrimRandObject* can be uniquely identified until it expires.
+
+- The Originator shall include a single *sessionESPrimKeyGenerationAlgorithmID* identifier for the algorithm that the Originator is applying for generating *sessionESPrimKey* using this *originatorESPrimRandObject*. This shall be one of the algorithms identified by the *sessionESPrimKeyGenerationAlgorithmID* values in *receiverSPrimERandObject* obtained in step B.2c or B.2f.
+- The Originator shall include a list of *AEADAlgorithmID* values identifying the AEAD algorithms that the Originator is willing to use with this *originatorESPrimRandObject*. This shall be one or more of the algorithms identified by *AEADAlgorithmID* in *receiverESPrimRandObject* obtained in step B.2c or B.2f.
+
+B.2h The Originator shall generate the *sessionESPrimKey* from the *pairwiseESPrimKey*, *receiverESPrimRandObject* received at step B.2c and *originatorESPrimRandTuple* generated at step B.2.g.
+
+NOTE 2 – The *sessionESPrimKey* used to secure an inner request primitive is always used to protect the corresponding inner response primitive, so *sessionESPrimKey* has to be cached at least until the corresponding inner response primitive is expected to have been received. The Originator typically caches the *sessionESPrimKey* for a longer period of time since the *sessionESPrimKey* can be used for securing multiple primitive exchanges.
+
+
+
+**Originator** **CSE2 registered with Receiver** **Receiver** **How often?**
+
+**A. Establishing *pairwiseESPrimKey***
+Once only, or more often if desired
+
+**B. Establishing *sessionESPrimKey***
+*Shown in a separate figure*
+Periodically. Typically multiple times per *pairwiseESPrimKey*. Typically less often than per exchange of inner request and response primitives
+
+**C. Securing Primitive Exchange**
+
+C.1. Select object security technology
+
+C.2. Form serialization of inner request primitive
+
+C.3. Apply object security technology to serialization of inner request primitive using *sessionESPrimKey*, resulting in a ESPrim object with headers including *pairwiseESPrimKeyID*, *originatorESPrimRandObject* (or its *ESPrimID*) and the *receiverESPrimRandObject*'s *ESPrimID*.
+
+C.4. ESPrim object. Transport details in clause 11.4.2, TS-0001 [2].
+
+C.5. Extract ESPrim object from received message
+
+C.6.a. Extract *pairwiseESPrimKeyID* from ESPrim object and obtain the corresponding *pairwiseESPrimKey*, if it is still valid.
+
+C.6.b. Extract *originatorESPrimRandObject* (or its *ESPrimID*) and the *receiverESPrimRandObject*'s *ESPrimID* from ESPrim object. Verify *receiverESPrimRandObject* is still valid. If ESPrim object includes *originatorESPrimRandObject*, then store. Generate *sessionESPrimKey* from *pairwiseESPrimKey*, *originatorESPrimRandObject*, *receiverESPrimRandObject*. Cache *sessionESPrimKey*.
+
+C.6.c. Apply AEAD processing to ciphertext, resulting in authenticated serialization of inner request primitive
+
+C.7. Process inner request primitive, resulting in the serialization of the corresponding inner response primitive
+
+C.8. Apply object security technology to serialization of inner response primitive using *sessionESPrimKey*, resulting in a ESPrim object with headers including *pairwiseESPrimKeyID*, *originatorESPrimRandObject*'s *ESPrimID* and *receiverESPrimRandObject*'s *ESPrimID*.
+
+C.9. ESPrim object. Transport details in clause 11.4.2, TS-0001 [2].
+
+C.10. Extract ESPrim object from received message
+
+C.11.a. Check validity of *pairwiseESPrimKeyID*, *originatorESPrimRandObject*'s *ESPrimID* and *receiverESPrimRandObject*'s *ESPrimID* from ESPrim object. Retrieve/regenerate *sessionESPrimKey*.
+
+C.11.b. Apply AEAD processing to ciphertext, resulting in authenticated serialization of inner response primitive
+
+C.12. Process inner response primitive
+
+Per exchange of inner request and response primitives
+
+Y.4500.3(23)
+
+Sequence diagram showing the message flow for securing a primitive exchange in the End-to-End Security of Primitives (ESPrim) Procedure. The diagram involves three entities: Originator, CSE2 registered with Receiver, and Receiver. The process is divided into three main phases: A. Establishing pairwiseESPrimKey, B. Establishing sessionESPrimKey, and C. Securing Primitive Exchange. Phase C is further detailed with steps C.1 through C.12. A side note 'How often?' provides frequency information for each phase. The diagram is identified as Y.4500.3(23).
+
+**Figure 8.4.2-2 – Message flow for securing a primitive exchange in the End-to-End Security of Primitives (ESPrim) Procedure**
+
+#### C. Securing a Primitive Exchange:
+
+NOTE 3 – The Originator selects the type of serialization (e.g., JSON, XML) of the inner request primitive to be secured.
+
+C.1 The Originator selects the object security technology depending on the object security technology supported by the Originator, and the type of serialization of the inner request primitive.
+
+C.2 The Originator shall form the serialization of the inner request primitive.
+
+C.3 The Originator shall produce a ESPrim Object by applying the object security technology as follows:
+
+One or more headers of a ESPrim Object shall include the following information:
+
+- *pairwiseESPrimKeyID*
+- *originatorESPrimRandObject* used to generate the *sessionESPrimKey*, or the corresponding *ESPrimRandID*. If there is the possibility that this ESPrim Object could be the first ESPrim Object received by the Receiver which is secured by the Originator using a specific *originatorESPrimRandObject*, then the full *originatorESPrimRandObject* shall be included. Otherwise, one of *originatorESPrimRandObject* or *ESPrimRandID* shall be included.
+- *ESPrimRandID* of the *receiverESPrimRandObject* used to generate the *sessionESPrimKey*.
+- *AEADAlgorithmID* for the ESPrim Object. This shall be one of the AEAD algorithms identified in *originatorESPrimRandObject*.
+
+The plaintext (to be encrypted) shall be the serialization of the inner request primitive.
+
+The *sessionESPrimKey* shall be used directly as the symmetric key providing authenticated encryption of the plaintext, resulting in the ciphertext in the ESPrim Object. The ciphertext is assumed to include the MIC for verifying integrity of the inner request primitive.
+
+C.4 The Originator shall form an outer request primitive for transporting the ESPrim Object as described in [ITU-T Y.4500.1]. The Originator shall send the outer request primitive to the Receiver.
+
+C.5 The Receiver processes the received outer request primitive to extract the ESPrim Object as described in [ITU-T Y.4500.1].
+
+C.6 The Receiver shall process the ESPrim Object.
+
+C.6a The Receiver shall extract the *pairwiseESPrimKeyID* from the ESPrim Object headers and obtain the corresponding *pairwiseESPrimKey*:
+
+If the *pairwiseESPrimKeyID* is of the form for a Provisioned *pairwiseESPrimKey*, then the Receiver shall use the corresponding (previously-provisioned) *pairwiseESPrimKey*.
+
+If the *pairwiseESPrimKeyID* is of the form for a MAF *pairwiseESPrimKey*: If this is the first time that the Receiver received a message with this *pairwiseESPrimKeyID*, then the following process shall be performed.
+
+C.6a.1 The Receiver shall identify the MAF from the *pairwiseESPrimKeyID* (which is a KcID).
+
+C.6a.2 The Receiver shall establish a secure TLS connection to the MAF and request the M2M Secure Connection key (Kc) and Kc Lifetime corresponding to *pairwiseESPrimKeyID* (which is identical to KcID).
+
+C.6a.3 The MAF shall provide Kc and Kc Lifetime to the Receiver.
+
+C.6a.4 The Receiver shall generate the *pairwiseESPrimKey* from Kc and a reserved string.
+
+C.6a.5 The Receiver shall set *pairwiseESPrimKeyLifetime* to Kc Lifetime.
+
+C.6a.6 The Receiver shall cache (*pairwiseESPrimKeyID*, *pairwiseESPrimKey*, *pairwiseESPrimKeyLifetime*) for use for processing subsequent primitives.
+
+If the Receiver has previously cached (*pairwiseESPrimKeyID*, *pairwiseESPrimKey*, *pairwiseESPrimKeyLifetime*), and *pairwiseESPrimKeyLifetime* has not yet expired, then the Receiver may use the cached *pairwiseESPrimKey*.
+
+C.6b The Receiver shall apply the following process to generate the *sessionESPrimKey*:
+
+C.6b.1 The Receiver shall extract *ESPrimRandID* of the *receiverESPrimRandObject* from the headers of the ESPrim object, and attempt to retrieve the corresponding cached value of *receiverESPrimRandObject*. If no cached value is found, or the cached value is expired, then the Receiver shall respond to the outer request primitive with an error.
+
+C.6b.2 The Receiver shall extract the encoding of the *originatorESPrimRandObject* or *ESPrimRandID* of the *originatorESPrimRandObject* from the headers of the ESPrim object, and apply the appropriate decoding. If an *originatorESPrimRandObject* is provided then it shall be cached. If an *ESPrimRandID* is provided then the Receiver shall retrieve the corresponding cached value of *originatorESPrimRandObject*. If no cached value is found, or the cached value is considered expired, then the Receiver shall respond to the outer request primitive with an error message.
+
+The Receiver shall process the *originatorESPrimRandObject*:
+
+C.6b.2.i The Receiver shall check the *ESPrimExpiry* in the *originatorESPrimRandObject* to verify (a) that this Expiry is not already in the past and (b) the *ESPrimExpiry* is not later than the *ESPrimExpiry* in the *receiverESPrimRandObject*.
+
+C.6b.2.ii The Receiver shall extract *sessionESPrimKeyGenerationAlgorithmID* and verify that the identified algorithm matches one of the *sessionESPrimKeyGenrationAlgorithmID* in *receiverESPrimRandObject*.
+
+C.6b.2.iii The Receiver shall generate the *sessionESPrimKey* from the *pairwiseESPrimKey*, *receiverESPrimRandObject* and *originatorESPrimRandObject* or retrieve the value of *sessionESPrimKey* if previously generated and cached.
+
+NOTE 4 – The *sessionESPrimKey* used to secure an inner request primitive is always used to protect the corresponding inner response primitive, so *sessionESPrimKey* has to be cached at least until the corresponding inner response primitive is sent. The Receiver typically caches the *sessionESPrimKey* for a longer period of time since the originator can use the *sessionESPrimKey* for securing multiple primitive exchanges.
+
+C.6c Authenticated decryption steps at the Receiver:
+
+C.6c.1 The Receiver shall extract *AEADAlgorithmIDs* in *originatorESPrimRandObject* and verify that the identified set of algorithms is a subset of the set in *AEADAlgorithmIDs* in *receiverESPrimRandObject*.
+
+The Receiver shall process the *AEADAlgorithmID* in the ESPrim Object headers and verify that the identified algorithm matches one of the *AEADAlgorithmIDs* in *originatorESPrimRandObject*.
+
+C.6c.2 The Receiver shall apply the AEAD Algorithm identifier in the ESPrim Object header to the ciphertext parameter in the ESPrim Object resulting in verified plaintext, using the *sessionESPrimKey*. The ciphertext is assumed to include the MIC for verifying integrity of the inner request primitive. The authenticated serialization of the inner request primitive is the verified plaintext output by the AEAD algorithm.
+
+C.7 The Receiver shall process the inner request primitive, resulting in a serialization of the corresponding inner response primitive.
+
+NOTE 5 – Steps C.2 to C.7 are mirrored closely by C.8 to C.12, with the Originator and Receiver swapping their participation in the exchange, and the request primitives replaced by response primitives. There are minor differences: in particular some of the request processing in Steps C.2 to C.7 is not required in the response processing since the Originator has already generated *sessionESPrimKey*; it is only necessary to identify the appropriate *sessionESPrimKey*, as performed in step C.11.a.
+
+C.8 The Receiver shall use the same *sessionESPrimKey* as used in the ESPrim Object received at step C.5. Consequently, *pairwiseESPrimKeyID*, *originatorESPrimRandObject* and *receiverESPrimRandObject* are the same as for the received at step C.5.
+
+The Receiver shall produce an ESPrim Object by applying the object security technology as follows:
+One or more headers of the ESPrim Object shall include the following information:
+
+- *pairwiseESPrimKeyID*
+- *originatorESPrimRandObject's ESPrimRandID*.
+- *receiverESPrimRandObject's ESPrimRandID*
+- *AEADAlgorithmID* for the ESPrim Object. This shall be one of the AEAD algorithms identified in *originatorESPrimRandObject*.
+
+The plaintext (to be encrypted) shall be the serialization of the inner response primitive.
+
+The *sessionESPrimKey* shall be used directly as the symmetric key providing authenticated encryption of the plaintext, resulting in the ciphertext in the ESPrim Object. The ciphertext is assumed to include the MIC for verifying integrity of the inner request primitive.
+
+C.9 The Receiver shall form an outer request primitive for transporting the ESPrim Object as described in [ITU-T Y.4500.1]. The Originator shall send the outer response primitive to the Receiver.
+
+C.10 The Originator processes the received outer response primitive to extract the ESPrim Object as described in [ITU-T Y.4500.1].
+
+C.11 The Originator shall process the ESPrim Object.
+
+C.11a The Originator shall extract, from the headers of the ESPrim object, the values of *pairwiseESPrimKeyID*, *originatorESPrimRandObject's ESPrimRandID*, *receiverESPrimRandObject's ESPrimRandID*. These values shall match the *pairwiseESPrimKeyID*, *originatorESPrimRandObject's ESPrimRandID*, *receiverESPrimRandObject's ESPrimRandID* of a session that the Originator considers to be currently valid.
+
+If any of these values have expired, then the outer response primitive shall be discarded.
+
+NOTE 6 – For this reason, the expiry of these values need to be great enough to allow receiving the corresponding inner response primitive.
+
+Otherwise, the Originator shall use the cached value of *sessionESPrimKey* corresponding to these values, or may regenerate *sessionESPrimKey*.
+
+C.11b The Originator shall apply the AEAD Algorithm identified in the ESPrim Object header to the ciphertext parameter in the ESPrim Object resulting in verified plaintext, using *sessionESPrimKey*. The ciphertext is assumed to include the MIC for verifying integrity of the inner request primitive. The authenticated serialization of the inner request primitive is the verified plaintext output by the AEAD algorithm.
+
+C.12 The Originator shall process the inner response primitive.
+
+### **8.4.3 End-to-end security of primitives (ESPrim) protocol details**
+
+#### **8.4.3.1 End-to-end security of primitives (ESPrim) parameter definitions**
+
+##### **8.4.3.1.1 originatorESPrimRandObject parameter definition**
+
+The structure of the *originator2ERandObject* parameter is shown in Table 8.4.3.1.1-1. This parameter is used in establishing *sessionESPrimKey* as part of End-to-End Security of Primitives (ESPrim), described in clause 8.4.2. The data type of the *originatorESPrimRandObject* parameter is specified in [ITU-T Y.4500.4].
+
+**Table 8.4.3.1.1-1 – Structure of the *originatorESPrimRandObject* parameter**
+
+| Element Path | Multiplicity | Description |
+|-------------------------|--------------|-------------------------------------------------------------------------------------------------------------------------------------------------|
+| esprimRandID | 1 | An identifier for the originatorESPrimRandObject, assigned by the CSE or AE generating the originatorESPrimRandObject |
+| esprimRandValue | 1 | A 128-bit randomly-generated value. |
+| esprimRandExpiry | 1 | Time when the originatorESPrimRandObject expires. |
+| esprimKeyGenAlgID | 1 | The enumerated identifier of the algorithm selected for sessionESPrimKey generation by the CSE or AE generating the originatorESPrimRandObject. |
+| esprimProtocolAndAlgIDs | 1 | A list of enumerated identifiers for AEAD Algorithms supported by the CSE or AE generating the originatorESPrimRandObject. |
+
+##### 8.4.3.1.2 receiverESPrimRandObject parameter definition
+
+The structure of the receiver2ERandObject parameter is shown in Table 8.4.3.1.2-1. This parameter is used in establishing sessionESPrimKey as part of End-to-End Security of Primitives (ESPrim), described in clause 8.4.2. The data type of the receiverESPrimRandObject parameter is specified in [ITU-T Y.4500.4].
+
+**Table 8.4.3.1.2-1 – Structure of the *receiverESPrimRandObject* parameter**
+
+| Element Path | Multiplicity | Description |
+|-------------------------|--------------|-----------------------------------------------------------------------------------------------------------------------------------------------------|
+| esprimRandID | 1 | An identifier for the receiverESPrimRandObject, assigned by the CSE or AE generating the receiverESPrimRandObject. |
+| esprimRandValue | 1 | A 128-bit randomly-generated value. |
+| esprimRandExpiry | 1 | Time when the receiverESPrimRandObject expires. |
+| esprimKeyGenAlgIDs | 1 | A list of enumerated identifiers for algorithms supported for sessionESPrimKey generation by the CSE or AE generating the receiverESPrimRandObject. |
+| esprimProtocolAndAlgIDs | 1 | A list of enumerated identifiers for AEAD Algorithms supported by the CSE or AE generating the receiverESPrimRandObject. |
+
+##### 8.4.3.1.3 e2eSecInfo resource attribute definition
+
+The *e2eSecInfo* attribute occurs in the , and resource types. The structure of the *e2eSecInfo* resource attribute is shown in Table 8.4.3.1.3-1. This parameter is used in establishing sessionESPrimKey as part of End-to-End Security of Primitives (ESPrim), described in clause 8.4.2. The data types are specified in [ITU-T Y.4500.4].
+
+**Table 8.4.3.1.3-1 – Structure of the *e2eSecInfo* attribute**
+
+| Element Path | Multiplicity | Description |
+|--------------------------------|--------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| supportedE2ESecurityFeatures | 1 | A list of security usage identifiers (SUIDs) for the End-to-End Security Features supported by the CSE or AE associated with the , or resource containing the e2eSecInfo resource attribute. |
+| e2ECertificates | 0..1 | A list of certificates associated with the CSE or AE associated with the , or resource containing the e2eSecInfo resource attribute. |
+| sharedReceiverESPrimRandObject | 0..1 | A receiverESPrimRandObject parameter (see clause 8.4.3.1.2) generated by the CSE or AE associated with the , or resource containing the e2eSecInfo resource attribute. |
+
+#### 8.4.3.2 ESPrim object formatting and processing using the JWE compact serialization
+
+**Background:** JSON Web Encryption (JWE) specified in [IETF RFC 7516], provides a simple format for encrypting any data object. Two JWE serializations are provided: a compact, URI-safe serialization, and a JSON serialization.
+
+The JW end-to-end security of primitives (ESPrim) compact serialization necessary formatting and parsing can be easily encoded without generic tools for formatting or parsing JSON.
+
+In the JWE compact serialization, a JWE is represented as the concatenation of five JWE parameters:
+
+```
+
+BASE64URL(UTF8(JWE Protected Header)) || '.' ||
+BASE64URL(JWE Encrypted Key) || '.' ||
+BASE64URL(JWE Initialization Vector) || '.' ||
+BASE64URL(JWE Ciphertext) || '.' ||
+BASE64URL(JWE Authentication Tag)
+
+```
+
+where BASE64URL(OCTETS) denotes the base64url encoding of OCTETS, per section 2 of the JSON Web Signature specification [IETF RFC 7515].
+
+NOTE 1 – If OCTETS is an empty octet sequence, then [IETF RFC 7515] defines BASE64URL(OCTETS) to be the empty string.
+
+NOTE 2 – The JWE compact serialization is not as flexible as the JWE JSON serialization, however the JWE compact serialization provides sufficient flexibility for ESPrim Objects. Moreover, ease of formatting and parsing JWE compact serialization provides a simple solution for both XML and JSON representations of primitives.
+
+**JWE parameter definitions for ESPrim:** Table 8.4.3.2-1, specifies these values of the five JWE parameters when the JWE compact serialization.
+
+**Table 8.4.3.2-1 – JWE components used in ESPrim Objects**
+
+| JWE value | element type | Empty | Component Content |
+|----------------------|--------------|--------|-----------------------------------------------------------------|
+| JWE Protected Header | JSON | Never | See Table 8.4.3.2-2 JWE Protected Header Parameters |
+| JWE Encryption Key | Binary value | Always | This value is empty for the key management mode used for ESPrim |
+
+**Table 8.4.3.2-1 – JWE components used in ESPrim Objects**
+
+| JWE value | element type | Empty | Component Content |
+|-----------------------------------------------------------------------------------------------------------|--------------|-------------|------------------------|
+| JWE Initialization Vector | Binary value | Conditional | As per [IETF RFC 7516] |
+| JWE Ciphertext | Binary value | Never | |
+| JWE Authentication Tag | Binary value | Conditional | |
+| NOTE – whether these components are empty or not is conditional on the algorithm selected for encryption. | | | |
+
+Table 8.4.3.2-2 "JWE protected header parameters" describes the parameters in the JWE protected header when using JWE for ESPrim.
+
+**Table 8.4.3.2-2 – JWE protected header parameters**
+
+| Element path | Multiplicity for ESPrim | Purpose | Specification of element | Description of assigned value |
+|--------------|-------------------------|------------------------------------------------------|-------------------------------------------|----------------------------------------------------------------------------------------------------------------|
+| "alg" | 1 | Key management mode | [IETF RFC 7516] | "dir" indicating Direct Encryption. |
+| "enc" | 1 | Encryption Algorithm | | The options available here are the same as for ESData use of JWE. See clause 8.7.3 "ESData Protocol Details". |
+| "kid" | 1 | Key identifier | [IETF RFC 7516] | Identifier for pairwiseESPrimKey. |
+| "cty" | 0..1 | Media type of the secured Content | [IETF RFC 7516] | Dictated by the serialization of the primitive (XML or JSON) selected by the Originator. |
+| "ori" | 1 | Identify originators input to session key generation | Clause 8.4.3.1.1 | esprimRandID of the originatorESPrimRandObject used to generate sessionESPrimKey for this ESPrim Object. |
+| "rri" | 1 | Identify receiver's input to session key generation | Clause 8.4.3.1.2 | esprimRandID of the receiverESPrimRandObject used to generate sessionESPrimKey for this ESPrim Object. |
+| "oro" | 0..1 | originatorESPrimRandObject | Clause 8.4.3.1.1 using JSON serialization | JSON representation of an originatorESPrimRandObject generated by the Originator. Sent only by the Originator. |
+| "rro" | 0..1 | receiverESPrimRandObject | Clause 8.4.3.1.2 using JSON serialization | JSON representation of a receiverESPrimRandObject generated by the Receiver. Sent only by the Receiver. |
+
+The following text provides further explanation of the parameters in the JWE protected header when using JWE for ESPrim.
+
+Recall that an ESPrim Object is formed by encrypting the inner primitive using the symmetric key sessionESPrimKey. The generation of sessionESPrimKey from a pairwiseESPrimKey, originatorESPrimRandObject and receiverESPrimRandObject is separate from the key management available through JWE – from the perspective of JWE, sessionESPrimKey is simply a secret symmetric key value shared between Originator and Receiver. JWE uses the Direct Encryption key management mode in this scenario. The JWE serialization will be required to transport the pairwiseESPrimKey identifier, the esprimRandIDs of the originatorESPrimRandObject and receiverESPrimRandObject, and optionally a receiverESPrimRandObject or originatorESPrimRandObject so that the Originator and Receiver can generate the correct sessionESPrimKey.
+
+The "alg" (Algorithm) JWE header parameter [IETF RFC 7516] shall be set to the value of "dir" to indicate Direct Encryption key management mode.
+
+The "enc" (encryption algorithm) JWE header parameter [IETF RFC 7516] may be selected by the sender of the ESPrim Object. The encryption algorithm shall agree with the esprimProtocolAndAlgIDs in identified originatorESPrimRandObject and the esprimProtocolAndAlgIDs in the identified receiverESPrimRandObject.
+
+The "kid" (Key ID) JWE header parameter [IETF RFC 7516] shall be set to the pairwiseESPrimKey identifier.
+
+The "cty" shall identify the media type of the representation (JSON or XML) of the inner primitive.
+
+The esprimRandIDs of the originatorESPrimRandObject and receiverESPrimRandObject shall be communicated in the "ori" (Originator Rand ID) and "rri" (Receiver Rand ID) parameters included in the JWE Protected header. These parameters are specific to oneM2M and shall conform to the definition of the esprimRandID in clauses 8.4.3.1.1 and 8.4.3.1.2.
+
+The originator may include a originatorESPrimRandObject in an "oro" (Originator Rand Object) parameter – either at the beginning of an ESPrim session or to refresh the session keys "in-band" during an existing ESPrim session. In the former case, "ori" shall match the esprimRandID in the originatorESPrimRandObject, but this restriction does not apply in the latter case. This parameter is defined in clauses 8.4.2 and 8.4.3.1.1, and the JSON representation shall be used.
+
+The receiver may include a receiverESPrimRandObject in a "rro" (Receiver Rand Object) – to refresh the session keys "in-band" during an existing ESPrim session. This parameter is defined in clauses 8.4.2 and 8.4.3.1.2, and the JSON representation shall be used.
+
+**Forming an ESPrim object:** The inner primitive representation shall be encrypted as specified for message encryption in [IETF RFC 7516]. The JWE protected header shall be composed as described above.
+
+The content encryption key (CEK) shall be the sessionESPrimKey generated using the pairwiseESPrimKey, originatorESPrimRandObject and receiverESPrimRandObject identified in the JWE Protected Header.
+
+The plaintext shall be the inner primitive representation.
+
+The JWE initialization vector, JWE ciphertext and JWE authentication tag shall be generated from the protected JWE header, the plaintext and CEK as specified in [IETF RFC 7516], according to the identified encryption algorithm.
+
+The JWE compact serialization shall be composed from the JWE parameters.
+
+The ESPrim object is the JWE compact serialization.
+
+**Processing an ESPrim object:** The JWE compact serialization shall be processed as specified for message decryption in [IETF RFC 7516], with the following clarification.
+
+The JWE protected header shall be composed as described above.
+
+If `originatorESPrimRandObject` or `receiverESPrimRandObject` is included, then these shall be recorded.
+
+The content encryption key (CEK) shall be the `sessionESPrimKey` generated using the `pairwiseESPrimKey`, `originatorESPrimRandObject` and `receiverESPrimRandObject` identified in the JWE Protected Header. The generation of `SessionESPrimKey` is specified in clause 8.4.2.
+
+The plaintext shall be generated from the JWE initialization vector, JWE Ciphertext, JWE authentication tag and CEK as specified in [IETF RFC 7516], according to the identified encryption algorithm.
+
+## 8.5 End-to-end security of data (ESData)
+
+### 8.5.1 Purpose of ESData
+
+End-to-end security of data (ESData) provides an interoperable framework for protecting data that ends up transported using oneM2M reference points, in order that so transited CSEs do not need to be trusted with that data. The data to be protected is called the *ESData Payload*. ESData payload could typically compose all or part of an attribute value (e.g., *content* attribute value of a ** resource) or a primitive parameter (e.g., a signed, self-contained access token communicated in a request primitive to obtain dynamic authorization).
+
+NOTE – Within the scope of clause 8.5, terms including the word "ESData" can be shortened by removing "ESData" to facilitate readability. For example, "ESData Payload" is often shortened to "Payload".
+
+Applicable use cases and requirements are discussed in oneM2M TR-0012 [b-oneM2M TR0012].
+
+ESData assumes that there is a single *ESData source end-point* applying the ESData processing to the Payload to obtain an *ESData Envelope* containing the secured data and necessary headers, with one or more *ESData target end-points* applying the ESData processing to the Envelope to extract the verified data. The Payload is composed of plaintext (which is to be encrypted and integrity protected) and associated authenticated data (which is to be integrity protected only).
+
+There is no inherent restriction on which entities can be source end-points and target end-points; these end-points may be entities inside a oneM2M system (that is, AEs and CSEs) or entities outside of a oneM2M system (for example, entities which are part of a system that interworks with oneM2M).
+
+This Recommendation specifies credential management aspects and data protection aspects for ESData. The Recommendation does not address transporting ESData envelopes.
+
+### 8.5.2 ESData architecture
+
+#### 8.5.2.1 List of ESData security classes and esdata protection options
+
+The following ESData security classes are provided:
+
+**Encryption only:** (see note) which offers confidentiality and integrity protection. This payload is protected using symmetric keys, and these symmetric keys are established using one or more of the following:
+
+Symmetric keys otherwise established with the target end-points. In this case, the source end-point can be authenticated – unless the symmetric key was shared with multiple target end-points.
+
+target end-points certificate: When target end-point certificate are used, the target end-point cannot authenticate the source end-point.
+
+NOTE – Strictly speaking, this class provides encryption and integrity protection, but this name aligns usage in protocols such as JSON Web Encryption (JWE) and XML-Encryption which can provide both encryption and integrity protection.
+
+**Signature only:** Which offers source authentication, integrity protection and (when asymmetric digital signatures are used) non-repudiation. This uses either symmetric keys based MIC or asymmetric digital signatures verified using source end-point certificates.
+
+**Nested Sign-then-Encrypt:** This is used in cases where encryption is required in addition to source authentication and/or non-repudiation using a source end-point certificate. A digital signature(s) on the payload is signed first, and then encryption is applied to combination of the payload and digital signature.
+
+ESData supports using multiple credentials for protecting a single payload unit.
+
+Each ESData security class supports three ESData protection options, as shown in Table 8.5.2.1-1.
+
+**Table 8.5.2.1-1 – ESData protection options**
+
+| ESData Security Class | ESData Protection Option | Key Management | Source Verification | Non-Repudiation |
+|------------------------------------|----------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------|----------------------------|------------------------|
+| Encryption only (8.5.2.2) | Encryption using Provisioned Symmetric ESData Key | Provisioned Symmetric Key | Symmetric | – |
+| | Encryption using TEF | TEF | Symmetric | – |
+| | Encryption using target end-point Certificate | Certificate | – | – |
+| Signature only (8.5.2.3) | MIC using Provisioned Symmetric ESData Key | Provisioned Symmetric Key | Symmetric | – |
+| | MIC using TEF | TEF | Symmetric | – |
+| | Digital Signature using end-point source end-point Certificate | Certificate | Certificate | Certificate |
+| Nested-Sign-then Encrypt (8.5.2.4) | Digital Signature using end-point source end-point Certificate followed by any combination of Encryption-Only protection options | Provisioned Symmetric Key(s) and/or TEF(s) and/or Certificate(s) for Encryption. Certificate for Signature | Certificate | Certificate |
+
+#### 8.5.2.2 Encryption-Only ESData security class
+
+##### 8.5.2.2.1 Encryption-Only ESData security class overview
+
+The ESData protection option supported for the Encryption-Only security class are listed in Table 8.5.2.1-1 "ESData protection Options".
+
+Encryption-Only ESData supports encrypting using any combination of protection options and using multiple credentials for each protection option.
+
+**ESData encryption mode.** ESData security class supports two main encryption modes:
+
+**ESData direct encryption mode:** In this mode, a symmetric key is used directly in the Encryption algorithm for securing the payload. The direct encryption mode is recommended only in scenarios meeting the following criteria:
+
+Scenarios in which minimizing overhead of data objects is a very high priority.
+
+The encryption function will not be used with the same key value more than $2^{32}$ times, at least for AES GCM, for the reasons discussed in clause 8.4 of [IETF RFC 7518].
+
+This mode shall only be used when there is a single symmetric key being used to protect the payload.
+**ESData encrypted key mode:** In this mode, the content encryption key (CEK) (used in the encryption algorithm for securing the payload) is encrypted using one or more credentials and the encrypted CEK is provided in a header with the secured data.
+
+**Encryption mode applicability constraints.** In scenarios where either:
+
+Encryption using provisioned symmetric ESData key is applied using a single provisioned symmetric key; or
+
+Encryption using TEF is applied using a single TEF-registered symmetric key;
+
+Then either direct encryption mode or encrypted key mode may be applied.
+
+In all other scenarios, encrypted key mode shall be applied.
+
+**High level sequence of events.** The following text describes the sequence of events when using an Encryption-Only security class.
+
+NOTE – This Recommendation does not describe the processes by which the source end-Point and target end-point(s) decide on the credentials to be used for securing a payload, and the encryption algorithm to be applied.
+
+**A. Credential configuration:** The source end-point obtains the credentials needed to secure the payload for the intended target end-point(s). This can include any combination of the protection options, multiple credentials allowed for each protection options:
+
+**Encryption using provisioned symmetric ESData key:** The source end-point and target end-point(s) are provisioned with a provisioned symmetric ESData key as described in clause 8.5.2.2.2 "Encryption using provisioned symmetric ESData key".
+
+**Encryption using TEF:** The source end-point generates a random secret TEF-registered symmetric key, and registers this key with the TEF as described in clause 8.5.2.2.3 "Encryption using trust enabling function".
+
+**Encryption using certificates:** The source end-point obtains the certificate of the target end-point as described in clause 8.5.2.2.4 "Encryption using target end-point Certificate".
+
+**B. Source end-point CEK management:**
+
+If direct encryption mode is to be applied, then the provisioned symmetric ESData Key or Registered TEF Symmetric Key shall be used directly as CEK. The use of direct encryption mode shall be indicated in the *ESData Headers*: header parameters of the ESData envelope. The provisioned symmetric ESData Key or registered TEF symmetric key shall be identified in the headers.
+
+Otherwise, the source end-point shall generate a random secret value for the content encryption key CEK and shall encrypt CEK using the credential(s) obtained in Phase A "Credential management", as described in clauses 8.5.2.2.2, 8.5.2.2.3 and 8.5.2.2.4. Each encrypted CEKs shall be added to the Headers, along with the identifier for the credential which is to be used to decrypt the encrypted CEK. The CEK value may be used for a single payload or may be used for multiple payloads.
+
+**C. Source end-point Encryption:**
+
+C.1 The encryption algorithm shall be identified in the headers.
+
+C.2 The source end-point shall apply the encryption process for the identified algorithm to the payload using CEK. The plaintext is encrypted to form the ciphertext, and the combination of plaintext and associated authenticated data (AAD) is integrity protected by the generated MIC.
+
+C.3 The source end-point shall form the envelope from the headers, ciphertext, AAD and MIC; this process may include encoding data using, for example, base64.
+
+This Recommendation does not specify how the envelope is obtained or provided to the target End Point(s). The following steps are applied at each target end-point:
+
+###### **D. Target end-point CEK management:**
+
+D.1 The target end-point parses the envelope, applying any necessary encoding, and extracts the header parameters.
+
+D.2 If direct encryption mode is indicated in the headers, then the target end-point shall use the credential identifiers in the Headers to obtain the identified provisioned symmetric ESData Key or registered TEF symmetric key (as described in clause 8.2.2.2 or 8.5.2.2.3 respectively). The target end-point shall use this symmetric key directly as CEK.
+
+D.3 Otherwise, the target end-point shall use the credential identifiers in the Headers to identify an encrypted CEK that can be decrypted by a credential known or available to the target end-point. The target end-point shall obtain that credential and decrypt the encrypted CEK as described in clauses 8.5.2.2.2 (Provisioned symmetric ESData Key case), 8.5.2.2.3 (TEF case) and 8.5.2.2.4 (Target end-point certificate case). The target shall use the resulting CEK for processing the secured payload of the Envelope. The target end-point may cache the CEK value due to the possibility of that CEK value being used to protect subsequent payloads.
+
+###### **E. Target end-point decryption:**
+
+E.1 The target end-point shall determine the appropriate Encryption algorithm identified in the Headers.
+
+E.2 The target end-point shall apply the encryption decryption process for the identified algorithm to the ciphertext, AAD and MIC using CEK, outputting the verified plaintext and verified AAD.
+
+##### **8.5.2.2.2 Encryption using provisioned symmetric ESData key**
+
+For this protection option, the source end-point and each target end-point shall be provisioned with provisioned symmetric ESData Key, provisioned symmetric ESData key identifier and optionally provisioned symmetric ESData key lifetime. This credential shall be provisioned via one of:
+
+Pre-provisioning;
+
+A remote security provisioning frameworks (RSPF), specified in clause 8.3; or
+
+certificate based End-to-End security key establishment between the Originator and Receiver, specified in clause 8.7 "End-to-End key establishment using certificates".
+
+##### **8.5.2.2.3 Encryption using trust enabling function**
+
+This is specified in clause 8.6.
+
+##### **8.5.2.2.4 Encryption using target end-point certificates**
+
+###### **8.5.2.2.4.1 Associating public key certificate with target end-points**
+
+For this protection option, each target end-point shall be provisioned with a public key certificate which the source end-point trusts to be associated with the intended target end-point. The following options are supported:
+
+The target end-point Certificates may use the following Public Key Certificate flavours identified in clause 8.1.2.1 "Public Key Certificate Frameworks":
+
+In the case of a raw public key certificate, the source end-point shall be securely configured (either directly or remotely) to associate the target end-point with the raw public key or its hash. The details of this configuration are not provided in the present specification.
+
+In the case of a device certificate:
+
+The source end-point shall be securely configured with the trust anchor in the certificate chain of the device certificate; typically during initial provisioning.
+
+The source end-point shall be securely configured to associate the target end-point with the globally unique hardware instance identifier. The details of this configuration are not provided in the present specification.
+
+In the case of an AE-ID certificate or CSE-ID certificate, the source-end-point shall be securely configured with the trust anchor in the certificate chain of the AE-ID certificate or CSE-ID certificate; typically during initial provisioning. The source end-point then trusts that the target end-point with a particular AE-ID or CSE-ID is associated with the certificate that contains that AE-ID or CSE-ID.
+
+The target end-point Certificates may use other Public Key Infrastructures, particularly when the target end-point is in a non-oneM2M system interworking with the oneM2M system. This Recommendation provides no interoperability guarantees when such certificates are used.
+
+Public keys for verifying signature cannot be used for this protection option.
+
+###### **8.5.2.2.4.2 Obtaining target end-point certificates**
+
+The source end-point is unable to secure a message to the target end-point before obtaining the target end-point's certificate. This specification does not mandate the mechanism by which the target end-point's certificate is provided to the source end-point, and there are a variety of mechanisms which are suitable. The *e2ESecurityParameters* is a mechanism provided by oneM2M to allow the source end-point to retrieve certificates associated with a CSE or AE.
+
+A target end-point AE may make certificates available at the *e2ESecurityParameters* attribute of the ** resource representing that AE. This retrieval process is not a reliably-secure mechanism for associating the target end-point with the certificate; clause 8.5.2.2.4.1 "Associating public key certificate with target end-points" shall also be applied.
+
+A target end-point CSE may make certificates available at the *e2ESecurityParameters* attribute of the ** and ** resources representing that CSE. This retrieval process is not a reliably-secure mechanism for associating the target end-point with the certificate; clause 8.5.2.2.4.1 "Associating public key certificate with target end-points" shall also be applied.
+
+#### **8.5.2.3 Signature-Only ESData security class**
+
+##### **8.5.2.3.1 Signature-Only ESData security class overview**
+
+The ESData protection option supported for the Signature-Only ESData security class are listed in Table 8.5.2.1-1 "ESData protection options".
+
+NOTE 1 – The present specification supports only one Signature-Only ESData protection option, but the clause is structured to support additional Signature-Only ESData protection options if desired in the future.
+
+Signature-Only ESData supports encrypting using any combination of protection options and using multiple credentials for each protection option.
+
+**High level sequence of events:** The following text describes the sequence of events when using a Signature-Only security class.
+
+NOTE 2 – This Recommendation does not describe the processes by which the source end-point and target end-point(s) decide on the credentials to be used for signing a payload, and the algorithms to be applied.
+
+**A. credential configuration:** The source end-point obtains the credentials needed to sign the payload for the intended target end-point(s). This can include any combination of the protection options, multiple credentials allowed for each protection options:
+
+**MIC using provisioned symmetric ESData key:** The source end-point and target end-point(s) are provisioned with provisioned symmetric ESData key as described in clause 8.5.2.2.2 "Encryption using provisioned symmetric ESData key".
+
+**MIC using TEF:** The source end-point generates a random secret TEF-registered symmetric key, and registers this key with the TEF as described in clause 8.5.2.2.3 "Encryption using trust enabling function".
+
+**Digital Signature using source end-point certificates:** The source end-point selects a private key and corresponding source end-point certificate as described in clause 8.5.2.3.2 "Digital signature using source end-point certificates".
+
+###### **B. Source end-point signing:**
+
+B.1 The payload is encoded, for example, using base 64.
+
+B.2 For each credential, the source end-point shall generate array of data elements as follows:
+
+B.2.i The Source End-Point shall form a Header, identifying the digital signature or MIC algorithm, and the credential which can be used by a Target End-Point to verify the digital signature or MIC. If required, the header is also encoded, for example using base64.
+
+B.2.ii The Source End-Point shall generate a signature/MIC by applying the appropriate digital signature or MIC algorithm to the Payload and Header using the appropriate credential, and encoding, for example using base 64.
+
+B.2.iii The Source End-Point shall form a data element from the Headers, Payload and signature/MIC
+
+B.3 The source end-point shall form envelope from the encoded payload and the array of data elements generated at step B.2.
+
+This Recommendation does not specify how the envelope is obtained or provided to the target end point(s). The following steps are applied at each target end-point.
+
+###### **C. Target end-point verification:**
+
+C.1 The target end-point parses the envelope, extracting the encoded payload and the array of data elements, each containing a header and a signature/MIC.
+
+C.2 The target end-point shall examine the array of data elements to identify data elements which can be verified by a credential which may be trusted by the target end-point. For each such data element:
+
+C.2.i The Target End-Point shall obtain the identified credential according to clauses 8.5.2.2.2 (Provisioned Symmetric ESData Key case), 8.5.2.2.3 (TEF case), and 8.5.2.3.2 (using Source End-Point Certificate case).
+
+C.2.ii The Target End-Point shall verify the MIC or signature in using the credential.
+
+C.3 The target end-point shall decode the verified encoded payload – outputting the original payload – and shall record the credential(s) used to verify the payload.
+
+##### **8.5.2.3.2 Digital signature using source end-point certificate**
+
+###### **8.5.2.3.2.1 Associating public key certificate with source end-point:**
+
+For this protection option, each source end-point shall be provisioned with a public key certificate which the target end-point trusts to be associated with the intended source end-point. The following options are supported:
+
+The source end-point certificates may use the following public key certificate flavours identified in clause 8.1.2.1 "Public key certificate frameworks":
+
+In the case of a raw public key certificate, the target end-point shall be securely configured (either directly or remotely) to associate the source end-point with the raw public key or its hash. The details of this configuration are not provided in the present specification.
+
+In the case of a device certificate:
+
+The target end-point shall be securely configured with the trust anchor in the certificate chain of the device certificate; typically during initial provisioning.
+
+The target end-point shall be securely configured to associate the source end-point with the globally unique hardware instance identifier. The details of this configuration are not provided in the present specification.
+
+In the case of an AE-ID certificate or CSE-ID certificate, the target end-point shall be securely configured with the trust anchor in the certificate chain of the AE-ID certificate or CSE-ID certificate; typically during initial provisioning. The target end-point then trusts that the source end-point with a particular AE-ID or CSE-ID is associated with the certificate that contains that AE-ID or CSE-ID.
+
+The source end-point certificates may use other public key infrastructures, particularly when the source end-point is in a non-oneM2M system interworking with the oneM2M system. This Recommendation provides no interoperability guarantees when such certificates are used.
+
+Public keys for verifying signatures shall be used for this protection option.
+
+###### **8.5.2.3.2.2 Obtaining source end-point certificates**
+
+The target end-point is unable to secure a message to the source end-point before obtaining the source end-point's certificate. This specification does not mandate the mechanism by which the source end-point's certificate is provided to the target end-point using any mechanism, and there are a variety of mechanisms which are suitable. The *e2ESecurityParameters* is a mechanism provided by oneM2M to allow the target end-point to retrieve certificates associated with a CSE or AE.
+
+A source end-point AE may make certificates available at the *e2ESecurityParameters* attribute of the ** resource representing that AE. This retrieval process is not a reliably-secure mechanism for associating the source end-point with the certificate; clause 8.5.2.3.2.1 "Associating public key certificate with source end-points" shall also be applied.
+
+A source end-point CSE may make certificates available at the *e2ESecurityParameters* attribute of the ** and ** resources representing that CSE. This retrieval process is not a reliably-secure mechanism for associating the source end-point with the certificate; clause 8.5.2.3.2.1 "Associating public key certificate with source end-points" shall also be applied.
+
+#### **8.5.2.4 Nested Sign-then-Encrypt**
+
+For these options, the following high-level steps are performed (credential configuration steps and CEK management steps are not shown):
+
+The source end-point shall generate an inner envelope containing one or more digital signatures for the inner Payload using one or more certificates according to the "Digital signature using source end-point certificate" Signature-Only protection option in clause 8.5.2.3.
+
+The source end-point shall set the inner envelope produced by Step 1 to be the plaintext of the outer payload which is then encrypted using any combination of Encryption-Only protection options in clause 8.5.2.2. This results in an outer envelope.
+
+This Recommendation does not specify how the outer envelope is obtained or provided to the target end point(s). The following steps are subsequently applied at each target end-point:
+
+The target end-point shall decrypt the outer envelope produced by Step 1 using one of the Encryption-Only protection options in clause 8.5.2.2, resulting in the outer payload which is also the inner envelope.
+
+The target end-point shall verify one or more digital signatures in the inner envelope using one or more certificates according to the "Digital signature using source end-point certificate" Signature-Only protection option in clause 8.5.2.3, resulting in the verified inner payload.
+
+### 8.5.3 End-to-end security of data (ESData) protocol details
+
+#### 8.5.3.1 Introduction
+
+The end-to-end security of primitives (ESData) security classes support protocols shown in Table 8.5.3.1-1.
+
+**Table 8.5.3.1-1 – ESData security classes, and mapping to XML-based and JSON-Based security protocols**
+
+| ESData Security Class | XML-Based | JOSE: JSON-Based Security |
+|--------------------------|------------------------------------------------------------------------|----------------------------------------------------------------|
+| Encryption only | XML-ENC applied to ESData payload | JWE applied to ESData payload |
+| Signature only | XML-SIG applied to ESData payload | JWS applied to ESData payload |
+| Nested-Sign-then-Encrypt | XML-SIG applied to ESData payload, with XML-ENC applied to the result. | JWS applied to ESData payload, with JWE applied to the result. |
+
+The JOSE option allows a flexible JSON serializations in addition to less flexible compact serializations (which are also URI safe). So there are three serialization options: XML, JWE/JWS using JSON serialization and JWE/JWS using compact serializations.
+
+#### 8.5.3.2 Encryption-Only ESData security class protocol details
+
+To maintain consistency, key management algorithms are provided which are available in both XML-ENC [W3C XMLENC] and JSON Web encryption (JWE) [IETF RFC 7516].
+
+Direct Encryption.
+
+AES key wrap, using 128-bit, 256-bit keys.
+
+RSA-OAEP with MGF1 with SHA256.
+
+Elliptic curve Diffie-Hellman (ECDH) key agreement in Ephemeral-Static mode using AES-Key wrap.
+
+Table 8.5.3.2-1 identifies the key management algorithms that are supported in XML-Encryption for the Encryption-only ESData security class.
+
+**Table 8.5.3.2-1 – Key management algorithms that are supported in XML-Encryption for Encryption-only ESData Security Class**
+
+| Key Management | Algorithm | | for encrypting the key | Other parameters |
+|----------------------|--------------------------------|-------------|---------------------------------------------------------------|------------------------------------------------------------------------------------------------|
+| Direction Encryption | n/a | | n/a | John Smith |
+| Symmetric Key Wrap | AES Key Wrap, with | 128-bit key | http://www.w3.org/2001/04/xmlenc#kwaes128 | |
+| | | 192-bit key | http://www.w3.org/2001/04/xmlenc#kwaes192 | |
+| | | 256-bit key | http://www.w3.org/2001/04/xmlenc#kwaes256 | |
+| RSA | RSA-OAEP with MGF1 and SHA-256 | | http://www.w3.org/2009/xmlenc11#rsa-oaep | |
+
+**Table 8.5.3.2-1 – Key management algorithms that are supported in XML-Encryption for Encryption-only ESData Security Class**
+
+| Key Management | Algorithm | | for encrypting the key | Other parameters |
+|--------------------|---------------------------|-------------|---------------------------------------------------------------|----------------------------------------------------------------------------|
+| ECDH Key Agreement | ECDH-ES with AES Key Wrap | 128-bit key | http://www.w3.org/2001/04/xmlenc#kwaes128 | |
+| | | 192-bit key | http://www.w3.org/2001/04/xmlenc#kwaes192 | |
+| | | 256-bit key | http://www.w3.org/2001/04/xmlenc#kwaes256 | |
+
+Table 8.5.3.2-2 identifies the payload encryption algorithms that are supported in XML-Encryption for the Encryption-only ESData security class.
+
+**Table 8.5.3.2-2 – Payload encryption algorithms that are supported in XML-Encryption for Encryption-only ESData Security Class**
+
+| Payload Encryption Algorithm | | |
+|------------------------------|-------------|-------------------------------------------|
+| AES GCM with | 128-bit key | http://www.w3.org/2009/xmlenc11#aes128gcm |
+| | 192-bit key | http://www.w3.org/2009/xmlenc11#aes192gcm |
+| | 256-bit key | http://www.w3.org/2009/xmlenc11#aes256gcm |
+
+The output generated by XML-Encryption is serialized as an XML object. The XML-Encryption object may be transported "plain" – with no encoding, or may be encoded in base64.
+
+Table 8.5.3.2-3 identifies the key management algorithms that are supported in JWE for the Encryption-only ESData security class.
+
+**Table 8.5.3.2-3 – Key management algorithms that are supported in JSON Web encryption (JWE) for Encryption-only ESData security class**
+
+| Key Management | Algorithm | | "alg": ".." |
+|----------------------|--------------------------------|-------------|-----------------------|
+| Direction Encryption | n/a | | dir |
+| Symmetric Key Wrap | AES Key Wrap, with | 128-bit key | A128KW |
+| | | 192-bit key | A192KW |
+| | | 256-bit key | A256KW |
+| RSA | RSA-OAEP with MGF1 and SHA-256 | | "alg": "RSA-OAEP-256" |
+| ECDH Key Agreement | ECDH-ES with AES Key Wrap | 128-bit key | ECDH-ES+A128KW |
+| | | 192-bit key | ECDH-ES+A192KW |
+| | | 256-bit key | ECDH-ES+A256KW |
+
+Table 8.5.3.2-4 identifies the payload algorithms that are supported in JWE for the Encryption-only ESData security class.
+
+**Table 8.5.3.2-4 – Payload encryption algorithms that are supported in JSON Web encryption (JWE) for Encryption-only ESData security class**
+
+| Payload Encryption Algorithm | | "enc": ".." |
+|------------------------------|-------------|-------------|
+| AES GCM with | 128-bit key | A128GCM |
+| | 192-bit key | A192GCM |
+| | 256-bit key | A256GCM |
+
+The output generated by JWE conforms to either the JWE JSON serialization or a URI-safe JWE compact serialization. The JWE JSON serialization may be transported "plain" – with no encoding, or may be encoded in base64. [ITU-T Y.4500.4] defines the datatype m2m:e2eCompactJWE for the JWE compact serialization.
+
+#### 8.5.3.3 Signature-Only ESData security class protocol details
+
+To maintain consistency, signature types are provided which are available in both XML-Signature [W3C XMLSIG] and JSON Web signature (JWS) [IETF RFC 7515].
+
+HMAC using SHA-256, SHA-384 or SHA-512.
+
+RSA signature using PKCS1-v1.5 and MGF1 with SHA-256, SHA-384 or SHA-512.
+
+ECDSA signature using P-256, P-384 or P-512 with SHA-256, SHA-384 or SHA-512 respectively.
+
+Table 8.5.3.3-1 identifies the algorithms that are supported in XML-SIG for Signature-only ESData security class.
+
+**Table 8.5.3.3-1 – Algorithms that are supported in XML-Signature for Signature-only ESData security class**
+
+| Signature Type | Algorithm | | |
+|----------------|-------------------------------|---------|---------------------------------------------------|
+| HMAC | SHA-256 | | http://www.w3.org/2001/04/xmldsigmore#hmacsha256 |
+| | SHA-384 | | http://www.w3.org/2001/04/xmldsigmore#hmacsha384 |
+| | SHA-512 | | http://www.w3.org/2001/04/xmldsigmore#hmacsha512 |
+| RSA | RSA PKCS1-v1.5 and MGF1 with: | SHA-256 | http://www.w3.org/2001/04/xmldsigmore#rsasha256 |
+| | | SHA-384 | http://www.w3.org/2001/04/xmldsigmore#rsasha384 |
+| | | SHA-512 | http://www.w3.org/2001/04/xmldsigmore#rsasha512 |
+| ECDSA | P-256 and SHA-256 | | http://www.w3.org/2001/04/xmldsigmore#ecdsasha256 |
+| | P-384 and SHA-384 | | http://www.w3.org/2001/04/xmldsigmore#ecdsasha384 |
+| | P-512 and SHA-512 | | http://www.w3.org/2001/04/xmldsigmore#ecdsasha512 |
+
+The XML-Signature object may be transported "plain" – with no encoding, or may be encoded in base64.
+
+Table 8.5.3.3-2 identifies the algorithms that are supported in JWS for Signature-only ESData security class.
+
+**Table 8.5.3.3-2 – Algorithms that are supported in JSON Web Signature (JWS)
+for Signature-only ESData Security Class**
+
+| Signature Type | Algorithm | | "alg":
.." |
+|----------------|----------------------------------|---------|---------------|
+| HMAC | SHA-256 | | HS256 |
+| | SHA-384 | | HS384 |
+| | SHA-512 | | HS512 |
+| RSA | RSA PKCS1-v1.5
and MGF1 with: | SHA-256 | RS256 |
+| | | SHA-384 | RS384 |
+| | | SHA-512 | RS512 |
+| ECDSA | P-256 and SHA-256 | | ES256 |
+| | P-384 and SHA-384 | | ES384 |
+| | P-512 and SHA-512 | | ES512 |
+
+The output generated by JWS conforms to either the JWS JSON Serialization or a URI-safe JWS compact serialization. The JWS JSON Serialization may be transported "plain" – with no encoding, or may be encoded in base64. [ITU-T Y.4500.4] defines the datatype m2m:e2eCompactJWS for the JWS compact serialization.
+
+#### **8.5.3.4 Nested-Sign-then-Encrypt ESData security class protocol details**
+
+The high level steps for the Nested-Sign-then-Encrypt ESData security class are described in clause 8.5.2.4. The inner envelope shall be generated and processed according to one or more RSA or ECDSA signature types specified in clause 8.5.3.3. The inner Envelope shall be generated and processed according to any combination of one or more key management algorithms specified in clause 8.5.3.2.
+
+## **8.6 Remote security frameworks for end-to-end security**
+
+### **8.6.1 Overview on remote provisioning and registration of credentials for end-to-end security**
+
+#### **8.6.1.1 Introduction**
+
+The remote provisioning framework for end-to-end security shall involve the ability for an entity to register and provision end-to-end credentials by means of a trust enabling function for end-to-end security. An M2M enrolment function, M2M authentication function or a MN-CSE that is equipped with the ability to register and provision end-to-end security credentials may act as a trust enabling function for end-to-end security.
+
+The end-to-end security credentials derived may be used for providing the following security protection mechanisms:
+
+Message (primitive) integrity and authenticity using a message integrity code (MIC).
+
+Message (primitive) confidentiality.
+
+Integrity and authenticity of the data (attributes) using data integrity tag (DIT).
+
+Confidentiality of data (attributes).
+
+Security protected messages and data (attributes) may be enveloped using ESPrim and ESData respectively using mechanisms described in clause 8.4 "End-to-end security of primitives" and 8.5 "End-to-end security of data". Message authenticity/integrity and confidentiality are provided using ESPrim, while integrity and confidentiality of application data (attributes) are provided by using ESData objects.
+
+End-to-End security may be provided using:
+
+Leveraging remote security provisioning process based on clause 8.3 and described in clause 8.6.2.
+
+Using source-generated credentials described in clause 8.6.3.
+
+#### 8.6.1.2 Overall description of registration and remote provisioning for end-to-end security
+
+This clause provides description of mechanisms that may be employed for generation, registration and provisioning of credential(s) that shall be used for end-to-end security. Based on security requirements or security profile associated with an Entity (e.g., AE) and indicated within the ** resource described in clause 9.6.1.3.2 in [ITU-T Y.4500.1], appropriate end-to-end security credentials shall be generated. The remote provisioning mechanisms leverages the mechanisms described in clauses 8.3 on the remote security provisioning frameworks and extends the mechanism in order that end-to-end security credentials may be registered and shall be provisioned for entities that are more than one-hop away from one another. Figure 8.6.1.2-1 provides a sequence of high-level steps that may be followed for remote registration and provisioning of end-to-end credentials.
+
+The steps involved in end-to-end security protection involve:
+
+A source ESP end-point identifying the right set of security mechanisms and generating appropriate credentials.
+
+Registering the credentials with a trust enabling function.
+
+The TEF provisions end-to-end credentials to a target ESP end-point.
+
+Processing of ESData/ESPrim using the end-to-end credentials.
+
+When a remote security provisioning process is used, then steps 1) and 2) shall be primarily performed by a TEF. In the case, where source-generated end-to-end security credentials are used, then steps 1) and 2) shall be performed by the source ESF end-point.
+
+Figure 8.6.1.2-1 provides a high-level summary of credential registration and provisioning process.
+
+
+
+The diagram illustrates the high-level summary of the credential registration and provisioning process. It features three main entities: Source ESF End-Point, Trust Enabler Function (TEF), and Target ESF End-Point. The Source ESF End-Point and Target ESF End-Point both contain an ESF Security Layer Processing block. The TEF block is labeled with examples: MEF, MAF, MN-CSE. The process is divided into four steps: 1. ESData/ESPrim Creation Process (performed by Source ESF End-Point), 2. Credential Registration Process (performed by TEF), 3. Credential Provisioning Process (performed by TEF), and 4. Process ESData/ESPrim (performed by Target ESF End-Point). The steps are connected by dashed lines and arrows indicating the flow of the process. Step 1 is a box with three sub-steps: Identify ESData Security Protections, Generate credentials and parameters, and Apply ESData/ESPrim. Step 2 is a double-headed arrow between Source ESF End-Point and TEF. Step 3 is a double-headed arrow between TEF and Target ESF End-Point. Step 4 is a box with two sub-steps: Validate Integrity and/or decrypt ESData/ESPrim. The diagram is labeled Y.4500.3(23) at the bottom right.
+
+High-level summary of credential registration and provisioning process diagram
+
+Figure 8.6.1.2-1 – High-level summary of credential registration and provisioning process
+
+The end-to-end credential registration and provisioning process for providing ESData/ESPrim involves the following steps:
+
+Creation of ESData/ESPrim by the source ESF end-point process involves:
+
+- a) Identification of security protection mechanisms based on the security requirements associated with the application data.
+- b) Based upon the security requirements, appropriate security credentials and associated parameters are generated.
+- c) The application data is then protected using the security credential(s) and associated parameters in order to generate the ESData/ESPrim.
+
+NOTE 1 – In the case of remote security provisioning process, these steps a) and b) are performed by a trust enabling function. Whereas in the case of source-generated, the above described steps are followed by the source.
+
+Credential registration process:
+
+- a) The source ESF end-point registers the credential(s) and associated parameters with a trust enabling function.
+- b) The source ESP end-point shall provide the identity of the target ESF end-point(s) that is authorized to be provisioned with the end-to-end credentials and associated parameters.
+
+NOTE 2 – In the case of remote security provisioning process, the Credential Registration process is performed by a trust enabling function. Whereas in the case of source-generated, the above described steps are followed by the source.
+
+Credential provisioning/Requisition process:
+
+- a) A target ESF end-point may request ESData/ESPrim credentials by using a Credential-Id that was obtained as part of the ESData/ESPrim.
+- b) Based on the authorization information provided as part of the credential registration process and using the Credential-Id, the trust enabling function provisions the appropriate credentials and associated cryptographic parameters to the authenticated and authorized target ESF end-point.
+
+Process the ESData/ESPrim:
+
+- a) The target ESF end-point uses the credentials provisioned by the trust enabling function in order to process the ESData/ESPrim.
+- b) Processing of ESData/ESPrim would involve the integrity verification/authentication of the application data and/or decryption of the data and messages respectively.
+
+### **8.6.2 Remote security provisioning process for end-to-end security credentials**
+
+This clause describes the remote provisioning of symmetric end-to-end security credentials. The end-to-end security credentials shall be generated after having completed the remote provisioning of symmetric credentials using the provisioned symmetric key or the MAF-based symmetric key security association establishment processes as described in clause 8.3.
+
+Based on the higher-level requirements, appropriate end-to-end credentials may be generated using remote security provisioning process by using pre-provisioned credentials. Illustrated in Figure 8.6.2-1 is a high-level key generation process.
+
+As part of the "end-to-end key generation" mechanism, the enrollee and the enrolment target generate end-to-end credentials using the Kpsa as the master key in order to generate the end-to-end master key. If the Enrollee is an AE (source ESF end-point), and the enrolment target is a CSE (target ESF end-point), then an end-to-end master credential, Ke2e\_master is generated. An example of end-to-end key generation using [IETF RFC 5869] is provided below.
+
+
+
+**GBA-Based Remote Provisioning Framework (Enrollee = UE, MEF = GBA BSF)**
+
+**Pre-provisioned Symmetric Key Remote Provisioning Framework**
+
+**Certificate-Based Remote Provisioning Framework**
+
+**Bootstrap Credential Configuration**
+
+UE-BSF authn is out of scope. Providing MEF URI (BSF URI) to UE is also out of scope.
+
+MAF-BSF authn is out of scope
+
+MEF – Enrolment Target authn is not shown
+
+**Bootstrap Instruction Configuration**
+
+Enrolment Target ID
+
+In UNSP (in GBA USS): Enrollee-ID, Enrolment Target-ID
+
+Enrolment Target ID
+
+Enrolment Target-ID, Enrollee-ID
+
+Enrolment Target-ID, MEF URI, MEF, TrustAnchorCert,
+
+Enrolment Target-ID, Enrollee-ID, Enrollee Cert Info,
+
+**Bootstrap Enrolment Handshake**
+
+UN specific
+
+KpmID
+
+Enrollee Cert + (O) Chain
+
+MEF Cert + Chain
+
+**Enrolment Key Generation**
+
+Ke: = Ks
+Keld: = B-TID
+
+Ke: = Ks
+Keld: = B-TID
+
+Ke, Keld
+
+Ke, Keld
+
+Ke, Keld
+
+Ke, Keld
+
+**Enrolment Phase**
+
+Enrollee
+
+MEF/BSF
+
+Enrolment Target (MAF/Enrollee B)
+
+KeID (Clause 8.2.3), Salt, content Info (optional), Label (optional)
+
+Mutual Authentication - details elsewhere
+
+KeID
+
+Derive Km/Kpsa (Ks..NAF) from Ke (Ks) and Enrolment Target Identity
+
+Derive Km/Kpsa (Ks..NAF) from Ke (Ks) and Enrolment Target Identity
+
+Km/Kpsa, Enrollee's assigned CSE-ID or AE-ID, (in USS), send content info, label for key extraction and expansion
+
+Mutual Authentication using Km/Kpsa
+
+Set KmId/KpsaId = Keld
+
+Set KmId/KpsaId = Keld
+
+**End-to-End Key Generation Phase**
+
+Derive Ke2e credentials from Kpsa/Km using the Salt and Label by means of key extraction and expansion as per RFC 5869
+
+Derive Ke2e credentials from Kpsa/Km using the Salt and Label by means of key extraction and expansion as per RFC 5869
+
+**Key**
+
+[parameters] → Communication of [parameters]
+
+[parameters] Internal generation of [parameters]
+
+↔ Mutual authentication
+
+High-level summary of the E2E remote security provisioning frameworks. The diagram is organized into six horizontal phases: Bootstrap Credential Configuration, Bootstrap Instruction Configuration, Bootstrap Enrolment Handshake, Enrolment Key Generation, Enrolment Phase, and End-to-End Key Generation Phase. It details three frameworks: GBA-Based Remote Provisioning Framework (Enrollee = UE, MEF = GBA BSF), Pre-provisioned Symmetric Key Remote Provisioning Framework, and Certificate-Based Remote Provisioning Framework. The diagram shows the flow of information, including authentication steps, key derivation (Ke, Keld, Km, Kpsa), and the final derivation of Ke2e credentials. A legend at the bottom explains the notation for communication and internal generation of parameters.
+
+Y.4500.3(23)
+
+**Figure 8.6.2-1 – High-level summary of the E2E remote security provisioning frameworks**
+
+**Bootstrap credential configuration:** The bootstrap credential configuration may be based upon the type of remote provisioning framework that is used. When using symmetric key remote provisioning, the Enrolee, which could be the source ESF end-point and the enrolment targets (Target ESF end-point) are each pre-provisioned with the symmetric Enrolee key (Kpm) and the corresponding pre-provisioned symmetric key identifier, denoted KpmID. In addition, the source ESF end-point is provisioned with the trust enabling function address (TEF URI). The mechanism follows the procedures as described in clause 8.3.2.1.
+
+**Bootstrap instruction configuration:** The source ESF end-point (Enrolee) and the trust enabling function are configured with the information needed for authorizing the remote provisioning:
+
+The source ESF end-point (Enrolee) is configured with the following arguments to initiate remote provisioning:
+
+- a) The target ESF end-point's security profile: The target ESF end-point's security profile and the associated security capabilities as described in ** resource may be used to identify the types of security protection mechanisms that shall be used for end-to-end security.
+- b) The target ESF end-point identity: Identifying the target ESF end-point for which the source ESF end-point is to provision end-to-end security credentials.
+- c) The target ESF end-point's security profile: The target ESF end-point's security profile and the associated security capabilities as described in ** resource can be used to identify the types of security protection mechanisms that shall be used for end-to-end security.
+- d) The source ESF end-point associates these arguments with the trust enabling function (TEF). The trust enabling function can be identified to the source ESF end-point using the pre-provisioned symmetric Enrolee key identifier (KpmID) and trust enabling function URI.
+
+M2M enrolment or trust enabling function is configured with the following arguments to authorize the M2M enrolment or trust enabling function to remotely provision the source ESF end-point for a target ESF end-point:
+
+- a) The target ESF end-point identity: Identifying the target ESF end-point for which the source ESF end-point is to be provisioned.
+- b) Source ESF end-point's assigned CSE-ID or AE-ID (Source ESF end-point-ID). The trust enabling function is to provide this entity identity for the source ESF end-point with the Km or Kpsa to the target ESF end-point, when requested by the target ESF end-point.
+- c) Source ESF end-point's security profile: The security profile of the source ESF end-point provides the expected security level described within the ** resource (see clause 9.6.3 of [ITU-T Y.4500.1]) associated with the source ESF end-point.
+- d) Target ESF end-point's security profile: The security profile of the target ESF end-point provides the expected security level described within the ** resource associated with the target ESF end-point.
+- e) The trust enabling function shall provide detailed key extraction and expansion parameters that are to be used when deriving the end-to-end credentials from the Km or Kpsa to the source ESF end-point and the target ESF end-point.
+- f) The trust enabling function shall provide the scope and associated security parameters to the source ESF end-point and target ESF end-point that determines the protocols and the cryptographic algorithms that shall be used for performing end-to-end security.
+
+**Bootstrap security handshake:** The source ESF end-point and trust enabling function shall perform a (D)TLS-PSK handshake [IETF RFC 4279] to establish a secure session. The mechanisms follow the process detailed in clause 8.3.2.
+
+#### End-to-end key generation:
+
+- a) The enrolment Key (Ke) and relativeKeID is generated from the (D)TLS session secrets by the source ESF end-point and trust enabling function using TLS key export ([IETF RFC 5705]), as described in clause 10.3.1 "TLS key export details". Similarly, the enrolment key identifier (KeID) is generated from the RelativeKeID and the trust enabling function's FQDN by the source ESF end-point and trust enabling function, as described in clause 10.3.4 "Generating KeID". The source ESF end-point and the trust enabling function store the Ke and the associated KeID.
+- b) The end-to-end master key (Ke2e\_master) and the E2EKeyId are generated in a similar manner as the Kpsa and the associated KpsaID. If the source ESF end-point requests the provisioning of end-to-end keys, then a key extraction based on Kpsa/Km shall be performed.
+- c) The end-to-end master Key (Ke2e\_master) is used to generate specific security protection keys, such as, end-to-end authentication key, end-to-end confidentiality key and other keys depending upon the key extraction and expansion parameters that were provided. The key extraction and expansion are based upon [IETF RFC 5869].
+
+NOTE – The end-to-end key generation for the pre-provisioned symmetric Enrolee key remote security provisioning framework is identical to the end-to-end key generation for the certificate-based remote security provisioning framework.
+
+### 8.6.3 Detailed description on source-generated end-to-end credentials
+
+This clause describes the generation and registration of symmetric end-to-end security credentials by a source ESF end-point. The end-to-end security credentials that were self-generated by a source shall be registered with the trust enabling function. Such a mechanism is particularly useful when data (attribute) as well messages targeted for more than one target are required. In cases, where securing of ** resource that is consumed by multiple end entities is required, then source-Generated credentials shall be used.
+
+A source that generates data consumed by one or more end entities may generate the appropriate credentials so that either a single attribute (e.g., content attribute value of a ** resource or *customAttribute* of a ** resource) or a single addressable element within the attribute may be protected for integrity and confidentiality by means of ESData/ESPrim. In the case of dynamic authorization, all or part of a single primitive parameter value (e.g., a signed, self-contained access token communicated in a request primitive to obtain dynamic authorization) may also be protected using ESData/ESPrim. The entity that generated the ESData/ESPrim then registers the credentials with a trust enabling function.
+
+Figure 8.6.3-1 shows a high-level summary of using a TEF for distribution of source-generated credentials.
+
+
+
+```
+
+sequenceDiagram
+ participant SEP as Source ESF End-Point
+ESF Security Layer Processing
+ participant TEF as TEF
+(e.g., MEF, MAF, MN-CSE)
+ participant TSEP as Target ESF End-Point
+ESF Security Layer Processing
+
+ SEP->>SEP: 1. Target data,
+Target data security profile,
+Target EEP Identity(ies)
+ SEP->>SEP: 2.a. Select keAlgSet and psAlgSet
+ SEP->>SEP: 2.b. Apply keAlgSet for source
+authentication and encryption
+ SEP->>SEP: 4. Apply psAlgSet to target data
+using established keys, producing
+ESF-treated target data
+ SEP->>SEP: 5. Serialize AlgSets, key params
+and secured payload in envelope
+ SEP->>TEF: 2.c. Register Target EEP
+Parameters (E.g.,
+cryptographic parameters)
+ TEF->>TEF: 3. Register the
+credentials
+ SEP->>TSEP: 6. The security envelope is either sent directly to the Target ESP End-Point
+or is fetched by the Target ESF End-Point from a Hosting CSE
+ TSEP->>TSEP: 7. Extract AlgSets, key params and
+ESF-treated target data from envelope
+ TSEP->>TEF: 8.a. (o) Retrieve Source
+EEP Parameters
+ TEF->>TEF: 8.b. Perform Access
+Control Check
+ TSEP->>TSEP: 8.c. Apply keAlgSet to obtain source
+verification, AlgSet verification and key
+establishment
+ TSEP->>TSEP: 9. Apply psAlgSet to ESF-treated target
+data using established keys, producing
+ESF-treated target data
+ TSEP->>TSEP: 10. verified/decrypt
+target data,
+Source EEP Identity
+
+```
+
+Y.4500.3(23)
+
+Sequence diagram showing the high-level summary of using a TEF for distribution of source-generated credentials between Source ESF End-Point, TEF, and Target ESF End-Point.
+
+**Figure 8.6.3-1 – High-level summary of using a TEF for distribution of source-generated credentials**
+
+**Bootstrap credential configuration:** It is assumed that the source ESF end-point is provisioned with the Ke/KeID that was generated as part of the remote provisioning framework with a trust enabling function (e.g., M2M enrolment function) as described in clause 8.2. The source ESF end-point may be provisioned with the Km/KmID that was generated as part of the remote provisioning framework with a trust enabling function as described in clause 8.3. The target ESF end-point may be provisioned with the Ke/KeID if the trust enabling function is an M2M enrolment function, or with the Km/KmID if the security association was established with an M2M authentication function.
+
+**Bootstrap instruction configuration:** The source ESF end-point as well as the target ESF end-points are provisioned with those trust enabling function's URI that support end-to-end security credential provisioning and registration.
+
+The source ESF end-point is configured with the following arguments to initiate remote provisioning:
+
+- a) The identity of the target ESF end-point that has to be provided with the ESData/ESPrim and associated end-to-end security credentials.
+- b) The security requirement associated with the data (attributes): This is pre-configured and provided by the application. Based on the security protection mechanisms, appropriate security technologies shall be used for protection.
+
+- c) Pre-configured with a table listing the security requirement and how that security requirement can be achieved using the appropriate security protection mechanisms (e.g., security protocols, algorithms for integrity, confidentiality, key generation).
+- d) The target ESF end-point security profile (optional): The target ESF end-point's security profile and the associated security capabilities of the target ESF end-point as described in ** resource can be used to identify the types of security protection mechanisms that shall be used for providing ESData/ESPrim.
+
+The trust enabling function is configured with the following arguments to register the ESData/ESPrim security credentials from the source ESF end-point and to authorize the trust enabling function to provision only a set of authorized target ESF end-point(s) with the relevant ESData/ESPrim security cryptographic parameters:
+
+- a) Cryptographic parameters: A list of end-to-end cryptographic parameters that is identified by a Credential-Id and having associated cryptographic values such as the credential(s), cryptographic algorithm(s), label(s) and random value(s) (e.g., nonce, IV). These parameters are provided by the source ESF end-point during the credential registration process. There may be one or more credentials that are associated with one or more security protection mechanisms (e.g., data integrity, data confidentiality). The list may also include scope and usage of the end-to-end security parameters so that the target ESF end-point is able to process ESData/ESPrim (e.g., verify the integrity and/or decrypt the ESData/ESPrim).
+- b) Identity of target ESF end-point: Identity of the target ESF end-points that shall be provisioned with the requested credentials identified by a Credential-Id. The authorization may be provided and enforced by means of ACPs.
+
+The target ESF end-point is configured with the following arguments:
+
+- a) ESData/ESPrim: The target ESF end-point is either sent the ESData/ESPrim directly from a source ESF end-point, or the target ESF end-point fetches the ESData/ESPrim from a hosting entity (e.g., Hosting CSE).
+- b) Credential-Id: The target ESF end-point is provisioned with the Credential-Id, which may be included as part of the ESData/ESPrim.
+- c) Cryptographic parameters: The cryptographic parameters are provisioned by the trust enabling function after the trust enabling function verifies the access control policies associated with the request from the source ESF end-point.
+
+#### Security handshake
+
+- a) The source ESF end-point and the trust enabling function perform a (D)TLS handshake [IETF RFC 4279] to establish a secure session. The mechanisms follow the process detailed in clause 8.3.2. All communications between the source ESF end-point and the trust enabling function are secured by means of the established (D)TLS connection.
+- b) The target ESF end-point and the trust enabling function performs a (D)TLS handshake [IETF RFC 4279] to establish a secure session. The mechanisms follow the process detailed in clause 8.3.2. All communications between the source ESF end-point and the trust enabling function are secured by means of the established (D)TLS connection.
+
+#### End-to-end key generation
+
+- a) The source ESF end-point generates credentials that may be based upon:
+ - Credentials that have been generated using the enrolment key, Ke/KeID that has been generated using the bootstrapped remote credential provisioning process.
+ - Credentials generated in a random manner by the source ESF end-point and registered with the trust enabling function.
+
+## 8.7 End-to-end certificate-based key establishment (ESCertKE)
+
+### 8.7.1 Purpose of ESCertKE
+
+End-to-end certificate-based key establishment (ESCertKE) provides an interoperable framework for two end-points to use certificates for establishing a secret symmetric key called *pairwiseE2EKey* from which symmetric keys are derived for use in other end-to-end security frameworks such as end-to-end security of data (ESData) or end-to-end security of primitives (ESPrim).
+
+Applicable use cases and requirements are discussed in oneM2M TR-0012 [b-oneM2M TR0012].
+
+This Recommendation specifies the ESCertKE messages and associated processing for ESCertKE. The transport of ESCertKE messages is specified in [ITU-T Y.4500.1].
+
+### 8.7.2 ESCertKE architecture
+
+#### 8.7.2.1 ESCertKE reference model
+
+The entities in the ESCertKE reference model are the *ESCertKE Initiating end-point* which initiates the procedure and the single *ESCertKE terminating end-point* with which the ESCertKE initiating end-point intends to establish a *pairwiseE2EKey*.
+
+NOTE – Within the scope of clause 8.7, terms including the word "ESCertKE" can be shortened by removing "ESCertKE" to facilitate readability. For example, "ESCertKE Initiating end-point" is often shortened to "Initiating end-point".
+
+The *ESCertKE Procedure* consists of the initiating end-point and terminating end-point exchanging a sequence of *ESCertKE Messages* and apply processing based on those ESCertKE messages. If the ESCertKE procedure is successful, then the Initiating end-point and terminating end-point export a *pairwiseE2EKey* based on the parameters exchanged in the ESCertKE messages.
+
+There is no inherent restriction on which entities may be an initiating end-point; these end-points may be entities inside a oneM2M system (that is, AEs and CSEs) or entities outside of a oneM2M system (for example, entities which are part of a system that interworks with oneM2M).
+
+The only restriction on entities which may be terminating end-points is that the terminating end-point shall be able to receive the unsolicited ESCertKE Message initiating the ESCertKE procedure. Since [ITU-T Y.4500.1] specifies the transport of ESCertKE messages, [ITU-T Y.4500.1] also specifies which entities may be terminating end-points.
+
+#### 8.7.2.2 ESCertKE procedure message flow
+
+The ESCertKE Messages shall be transported as specified in [ITU-T Y.4500.1]; for example, the ** resource may be used.
+
+The ESCertKE Messages shall contain the TLS v1.2 [IETF RFC 5246] messages defined in Table 8.7.2.2-1 "ESCertKE message definitions".
+
+The ESCertKE procedure message flow is shown in Figure 8.7.2.2-1, and described in the following text.
+
+
+
+```
+
+sequenceDiagram
+ participant IE as ESCertKE Initiating End-Point
+ participant TE as ESCertKE Terminating End-Point
+
+ IE->>IE: A. Provision Initiating End-Point's private key and certificate
+ TE->>TE: A. Provision Terminating End-Point's private key and certificate
+
+ IE->>IE: B. Configure Terminating End-Point's Certificate Info and identity
+ TE->>TE: B. Configure Initiating End-Point's Certificate Info and (opt) identity
+
+ IE->>IE: C.1.a. Generate ESCertKE Message 1
+ IE->>TE: C.1.b. ESCertKE Message 1 (TLS message: ClientHello)
+ TE->>TE: C.1.c. Process ESCertKE Message 1, and generate ESCertKE Message 2
+ TE->>IE: C.1.d. ESCertKE Message 2 (TLS messages: ServerHello, Certificate*, ServerKeyExchange*, CertificateRequest*, ServerHelloDone)
+ IE->>IE: C.1.e. Process ESCertKE Message 2, and generate ESCertKE Message 3
+ IE->>TE: C.1.f. ESCertKE Message 3 (TLS messages: Certificate*, ClientKeyExchange, CertificateVerify*, [ChangeCipherSpec], Finished)
+ TE->>TE: C.1.g. Process ESCertKE Message 3, generate ESCertKE Message 4
+ TE->>IE: C.1.h. ESCertKE Message 4 (TLS messages: [ChangeCipherSpec], Finished)
+ IE->>IE: C.1.i. Process ESCertKE Message 4
+ IE->>IE: C.2. Export pairwiseESCertKE and associate it with Terminating End-Point's identity from step 2
+ TE->>TE: C.2. Export pairwiseESCertKE and associate it with Initiating End-Point's identity (from certificate or step 2)
+
+```
+
+\* Inclusion of these TLS messages depends on the selected ciphersuite
+
+Y.4500.3(23)
+
+Sequence diagram showing the ESCertKE Procedure message flow between an Initiating End-Point and a Terminating End-Point. The process includes provisioning, configuration, and a series of message exchanges (C.1.a through C.1.i) leading to the export of pairwise keys.
+
+**Figure 8.7.2.2-1 – ESCertKE Procedure message flow**
+
+**A. Provisioning Certificates:** The ESCertKE endpoints shall be provisioned with private key and certificates described in clause 8.1.2.3 "Credential Configuration for Certificate-Based security frameworks". The certificates of the Initiating end-point and terminating end-points shall conform to clause 10.1 "Certificate-Based security framework Details".
+
+**B. Triggering:** The Initiating end-point and Terminating end-point shall be configured with the information needed for the authentication and identification of the Terminating end-point and Initiating end-point respectively:
+
+The Initiating end-point is commanded to initiate the ESCertKE Procedure, and the command shall include the following arguments:
+
+The terminating end-point's certificate information: as described in clause 8.1.2.4 "Information needed for certificate authentication of another Entity".
+
+The terminating end-point's identity. This identity is used for:
+
+Determining where ESCertKE message 1 is sent; and
+
+Associating with the established pairwiseE2EKey.
+
+The Terminating end-point shall be configured with the following arguments describing Initiating Entity authorized to perform the ESCertKE Procedure:
+
+The Initiating end-point's certificate information: as described in clause 8.1.2.4 "Information Needed for Certificate Authentication of another Entity":
+
+In the case where the Initiating end-point's certificate is a raw public key certificate, the Terminating end-point shall also be configured with an identity to associate with the established pairwiseE2EKey.
+
+The end-points may be configured in any order.
+
+##### C. Establishing *pairwiseE2EKey*:
+
+C.1 The initiating end-point and terminating end-point exchange the sequence of four ESCertKE Messages. The ESCertKE Messages shall be generated and processed according to the handshake protocol of TLS v1.2 [IETF RFC 5246]. The TLS ciphersuites used for the ESCertKE procedure shall conform to clause 10.2.3 "TLS and DTLS ciphersuites for certificate-based security frameworks":
+
+C.1.a The Initiating End-Point shall generate ESCertKE Message 1.
+
+C.1.b The Initiating End-Point shall send ESCertKE Message 1 to the Terminating End-Point identified in step 2.
+
+C.1.c The Terminating End-Point shall process ESCertKE Message 1, and generate ESCertKE Message 2.
+
+C.1.d The Terminating End-Point shall send ESCertKE Message 2 to the Initiating End-Point.
+
+C.1.e The Initiating End-Point shall process ESCertKE Message 2, and generate ESCertKE Message 3.
+
+C.1.f The Initiating End-Point shall send ESCertKE Message 3 to the Terminating End-Point.
+
+C.1.g The Terminating End-Point shall process ESCertKE Message 3, and generate ESCertKE Message 4.
+
+C.1.h The Terminating End-Point shall send ESCertKE Message 4 to the Initiating End-Point.
+
+C.1.i The Initiating End-Point shall process ESCertKE Message 4.
+
+C.2 If the TLS handshake protocol is successful, then the initiating and terminating end-points shall export and cache the pairwiseE2EKey using TLS exporter specification (IETF RFC 5705 [IETF RFC 5705]) as described in clause 10.3.1 "TLS key export details".
+
+**Table 8.7.2.2-1 – ESCertKE Message definitions**
+
+| ESCertKE Message | Sending end-point | Possible TLS v1.2 Messages (success case) [IETF RFC 5246] | Informative Description (normative description is in TLS v1.2 specification [IETF RFC 5246]) |
+|------------------|-------------------|-----------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------|
+| 1 | Initiating | ClientHello | List of allowed ciphersuites, random value, and indicator to export pairwiseE2EKey. |
+| 2 | Terminating | ServerHello | Selected ciphersuite, random value, indicator to export pairwiseE2EKey. |
+| | | Certificate* | Terminating end-point's certificate (and optionally certificate chain). |
+| | | ServerKeyExchange* | Key exchange parameters generated by the Terminating end-point. The content of this parameter is dependent on selected ciphersuite. |
+
+**Table 8.7.2.2-1 – ESCertKE Message definitions**
+
+| ESCertKE Message | Sending end-point | Possible TLS v1.2 Messages (success case) [IETF RFC 5246] | Informative Description (normative description is in TLS v1.2 specification [IETF RFC 5246]) |
+|--------------------------------------------------------------------------------------------------|-------------------|-----------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | CertificateRequest* | Instructs the Initiating end-point to authenticate itself with a certificate. |
+| | | ServerHelloDone | Indicates the end of the message. |
+| 3 | Initiating | Certificate* | Initiating end-point's certificate (and optionally certificate chain). |
+| | | ClientKeyExchange* | Key exchange parameters generated by the Initiating end-point. The content of this parameter is dependent on selected ciphersuite. |
+| | | CertificateVerify | Provides explicit verification of an Initiating end-point's certificate. |
+| | | [ChangeCipherSpec] | Notifies the Receiving end-point that subsequent records will be protected under the newly negotiated CipherSpec and keys. |
+| | | Finished | MIC on all preceding parameters exchanged in the procedure. The MIC is generated using session secrets established using the preceding parameters. |
+| 4 | Terminating | [ChangeCipherSpec] | See above. |
+| | | Finished | MIC on all preceding parameters exchanged in the procedure. The MIC is generated using session secrets. |
+| NOTE – The inclusion of the TLS messages marked with "*" is dependent on the chosen ciphersuite. | | | |
+
+## 8.8 MAF security framework details
+
+### 8.8.1 Introduction to the MAF security framework details
+
+Clause 8.8 describes the common details and procedures used in the MAF-based security frameworks; in the present specification these frameworks include:
+
+The MAF-Based security association establishment framework (SAEF).
+
+The MAF-based end-to-end security of primitives (ESPrim) framework.
+
+The MAF-based end-to-end security of data (ESData) framework.
+
+These frameworks use a MAF to provide authentication and distribution of symmetric key for use by a source end-point initiating establishing the symmetric key, and one or more target end-points. Table 8.8.1-1 "Mapping of generic MAF framework roles to specific MAF-based framework Roles" MAF Clients can retrieve the output symmetric key from the MAF. The MAF provides its services on behalf of *administrating stakeholders* such as M2M SPs or third party M2M Trust Enablers (MTE). An administrating stakeholder authorizes the MAF to provide services to MAF Clients, and oversees authorizing the distribution of symmetric keys. Table 8.8.1-1 describes the mapping of source MAF Client and target MAF Client to roles in the specific MAF-based frameworks, and the allowed number of target MAF Clients.
+
+**Table 8.8.1-1 – Mapping to specific MAF-based security frameworks**
+
+| MAF-Based security framework | Source MAF Client | Target MAF Client | Number of target MAF Clients | Output Symmetric Key |
+|-----------------------------------------------------|--------------------------|--------------------------|-------------------------------------|--------------------------------|
+| Security Association Establishment Framework (SAEF) | Entity A | Entity B | 1 | M2M secure connection key (Kc) |
+| End-to-End Security of Primitives (ESPrim) | Originator | Receiver | 1 | pairwiseESPrimKey |
+| End-to-End Security of Data (ESData) | Source ESData end-point | Target ESData end-point | 1..n | ESData Key |
+
+This clause 8.8 specifies *MAF procedures* between the MAF Clients and associated messages. The operation and management of the MAF, beyond the details provided for the MAF Procedures, are not specified in this Recommendation.
+
+The general sequence for using the MAF procedures is shown in Figure 8.8.1-1 and described as follows:
+
+Each MAF Client shall separately establish credentials for mutual authentication with the MAF as described in **MAF Client credential configuration** (clause 8.8.3.1).
+
+Each MAF Client shall be separately configured to register on the MAF with a specific administrating stakeholder. **MAF Client registration configuration** (clause 8.8.3.2) provides the necessary parameters.
+
+Each MAF Client shall perform a **MAF Client registration procedure** with the MAF. This provides confirmation that the MAF Client is willing to use the services of the MAF, under the authorization of the administrating stakeholder. The MAF Client shall register separately for each administrating stakeholder, even when registering via a single MAF. If the MAF Client is remotely provisioned for mutual authentication with the MAF, then the MAF shall provide the MAF Client with the KmID to be used for subsequently authentication with the MAF.
+
+At a later time independent of this sequence of events, the **MAF Client registration update procedure** may be performed to confirm that the MAF Client is willing to use the services of the MAF and or establish a new Km and KmID, and the **MAF Client de-registration procedure** may be performed to signal that the MAF Client is ceasing to use the services of the MAF.
+
+The source MAF Client shall be configured to establish secure communication using a security feature (SAEF, ESPrim or ESData) with symmetric keys established via the MAF. The details of this configuration is specific to the security feature being invoked, but shall include the **MAF key registration configuration** (clause 8.4.4.3).
+
+The source MAF Client shall perform a **MAF key registration procedure** to establish a symmetric key and corresponding identifier. The source MAF Client shall also provide the security usage identifier (SUID) limiting the scope of the credential by identifying the security feature (SAEF, ESPrim or ESData). This procedure shall include the **MAF handshake procedure** for mutual authentication of the source MAF Client and MAF.
+
+At a later time independent of this sequence of events, the **MAF key registration update procedure** may be performed to update the expiration of the registered key or update the list of target MAF Clients, and the **MAF Key de-registration procedure** may be performed to delete the key registration from the MAF.
+
+The source MAF Client shall provide, to the target MAF Client(s), the symmetric key identifier established in the MAF key registration procedure. The details of this step depend on the security feature as identified by the SUID.
+
+The target MAF Client shall perform the **MAF key retrieval procedure**, to retrieve the symmetric key and corresponding information. This procedure shall include the **MAF handshake** procedure for mutual authentication of the target MAF Client and MAF.
+
+The symmetric key shall be used in the security protocol between the source MAF Client and target MAF Client. If the security protocol requires a single symmetric key, then the first half of the distributed symmetric key shall be used. If the security protocol requires two symmetric keys (for example, an encryption key and a separate integrity key), then the two halves of the distributed symmetric key shall be used as the two security protocol symmetric keys. The details of this step depend on the security feature.
+
+
+
+```
+
+sequenceDiagram
+ participant S as Source MAF Client
+ participant AS as Administrating Stakeholder
+ participant M as MAF
+ participant T as Target MAF Client
+
+ S->>AS: 1. MAF Client Credential Configuration
+ AS->>T: 1. MAF Client Credential Configuration
+ S->>AS: 2. MAF Client Registration Configuration
+ AS->>T: 2. MAF Client Registration Configuration
+ S->>M: 3. MAF Client Registration procedure
+ M->>T: 3. MAF Client Registration procedure
+ S->>AS: 4. MAF Key Registration Configuration
+ S->>M: 5. MAF Key Registration procedure
+Establishing Key ID, Key Value and metadata
+ M->>T: 6. Key ID (details specific to the security feature)
+ T->>M: 7. MAF Key Retrieval procedure, provide Key ID
+receive corresponding Key Value and metadata
+ S->>T: 8. Key Value is used in the security feature
+
+```
+
+Y.4500.3(23)
+
+Sequence diagram showing the interaction between Source MAF Client, Administrating Stakeholder, MAF, and Target MAF Client. The diagram details steps 1 through 8, including credential configuration, registration, key registration, and key retrieval.
+
+**Figure 8.8.1-1 – The sequence of events when using the MAF security framework as part of a security feature**
+
+Clause 8.8 is organized as follows. Clause 8.8.2 describes the processing and information flows of the MAF Procedures. Clause 8.8.3 describes the information in the MAF Client credential configuration, MAF Client registration configuration and MAF Key registration configuration.
+
+### 8.8.2 MAF security framework processing and information flows
+
+#### 8.8.2.1 Introduction
+
+Clause 8.8.2 specifies the processing and information flows of the MAF procedures.
+
+#### 8.8.2.2 MAF handshake procedure
+
+**Purpose:** A MAF Handshake procedure establishes a mutually authenticated TLS or DTLS session for protecting the communication between an MAF Client and MAF. In the case of the MAF key registration procedure, the TLS or DTLS session may be used by the source MAF Client and MAF to establish the Key Value.
+
+**Pre-conditions:** One of the following conditions shall hold:
+
+The MAF Client and MAF have been provisioned with certificates as described in the MAF Client credential configuration details in clause 8.8.3.1, and configured with CA certificates for validating certificates as described in the MAF Client registration configuration details in clause 8.8.3.2.
+
+The MAF Client and MAF have established a symmetric master credential (Km) with corresponding master credential identifier (KmID). The Km and KmID may be pre-provisioned, or Km may be established using remote security provisioning framework with KmID established using the MAF Client registration procedure.
+
+NOTE – In the case of establishing $K_m$ via remote provisioning, MAF Handshake cannot be performed during MAF Client Registration because (a) the MAF does not know $K_m$ prior to MAF Client Registration and (b) $K_mID$ has not been assigned prior to MAF Client Registration.
+
+##### Procedure description
+
+If the MAF Client and MAF have established a symmetric master credential ( $K_m$ ) with corresponding master credential identifier ( $K_mID$ ), then the MAF Client and MAF shall establish the TLS or DTLS session using the TLS-PSK handshake according to clause 10.2.2, with the following details:
+
+The "psk\_identity" parameter [IETF RFC 4279] shall be set to the value of the master credential identifier ( $K_mID$ ).
+
+The "psk" parameter [IETF RFC 4279] shall be set to the value of the master credential ( $K_m$ ).
+
+If the MAF Client and MAF are to authenticate using certificates, then the MAF Client and MAF shall establish the TLS or DTLS session using the certificate-based TLS handshake according to clause 10.2.2, with the following details:
+
+The TLS server certificate shall be the MAF's certificate. The MAF Client shall verify the MAF's certificate against the set of provisioned MAF certificate trust anchors as described in clause 8.1.2.5.
+
+The TLS Client certificate shall be the 'MAF Client's certificate. The MAF shall verify the 'MAF Client's certificate against the provisioned MAF Client certificate information as described in clause 8.1.2.5.
+
+#### 8.8.2.3 MAF Client registration procedure
+
+**Purpose:** The MAF Client registers with the MAF to confirm that it is willing to use the services of the MAF, under the authorization of the administrating stakeholder. If remote provisioning is used to establish a symmetric key between an MAF Client and the MAF, then the MAF Client triggers the MAF (in the TLS handshake) to retrieve $K_m$ from the MEF, and the MAF provides the MAF Client with the master credential Id ( $K_mID$ ) to use in subsequent MAF Handshake Procedures.
+
+NOTE – The MAF Client Registration procedure is equivalent to CSE or AE registration, but in this case the MAF Client is "registering" to the MAF, and not the registrar CSE.
+
+**Pre-conditions:** The MAF Client, MAF, and (where applicable) MEF have been provisioned with the parameters described in clauses 8.8.3.1 and 8.8.3.2.
+
+##### Procedure description
+
+The MAF Client shall establish a TLS (or DTLS) connection with the MAF.
+
+If remote provisioning is used, then steps (b) onwards in the "Use of provisioned credential" in clause 8.3.2.1 shall be performed by the MAF Client (assuming the role of Enrolee), MEF and MAF (assuming the role of registration target). The SUID of the remotely-provisioned key shall be '21' "A symmetric key, provisioned via a remote security provisioning framework (RSPF), and intended to be shared with a MAF" as specified in [ITU-T Y.4500.4]. The MAF retrieves $K_m$ from the MEF as part of this process.
+
+Otherwise, the MAF Client and MAF shall perform the MAF Handshake Procedures (clause 8.8.2.2).
+
+This provides the MAF with an authenticated identity for the MAF Client.
+
+The MAF Client shall send a MAF Client registration request including the information shown in Table 8.8.2.3-1.
+
+**Table 8.8.2.3-1 – MAF Client registration request message information**
+
+| Parameter | Description | Multiplicity |
+|----------------|-----------------------------------------------------------------------------------------------|--------------|
+| MAF-FQDN | FQDN of the MAF, from MAF Instruction Configuration | 1 |
+| expirationTime | Proposed time when the registration shall expire. | 1 |
+| labels | Labels to aid discovery the record of the MAF Client's registration. | 0..1 |
+| adminFQDN | FQDN of the administrating stakeholder, provided in the MAF Client registration configuration | 1 |
+
+Upon receiving the request, the MAF shall process the request. If error cases are encountered, then the MAF shall send an error response. The MAF may assign different values for parameters received from the MAF Client, based on instruction from the administrating stakeholder. If the request is processed successfully, then the MAF shall compose a MAF Client registration response request including the information shown in Table 8.8.2.3-2.
+
+**Table 8.8.2.3-2 – MAF Client registration response message information**
+
+| Parameter | Description | Multiplicity |
+|--------------------------|------------------------------------------------------------------------------------------|--------------|
+| mafClientRegID | An identifier for the new MAF Client Registration record. | 1 |
+| labels | Labels to aid discovery of the MAF Client Registration record | 0..1 |
+| expirationTime | Time when the MAF Client Registration record shall expire. | 1 |
+| MAF Client ID | Identifier of the MAF Client | 1 |
+| adminFQDN | FQDN of the administrating stakeholder | 1 |
+| assignedSymmKeyID | MAF-Assigned master credential ID (KmID), in cases where the Km is remotely provisioned. | 0..1 |
+
+The MAF shall send the response to the MAF Client.
+
+The MAF Client and MAF shall store the parameters. If assignedSymmKeyID was included, then the MAF Client shall use this as master credential ID (KmID) hereafter when establishing TLS (or DTLS) sessions with the MAF.
+
+#### **8.8.2.4 MAF Client configuration retrieval procedure**
+
+**Purpose:** This procedure enables a MAF Client to retrieve MAF Client configurations provided by the administrating stakeholder to the MAF.
+
+##### **Pre-conditions**
+
+The MAF Client has previously performed the MAF Client registration procedure to create the MAF Client registration record.
+
+The MAF Client registration record is not expired.
+
+**Procedure description.** The procedure comprises the following steps:
+
+The MAF Client shall establish a TLS (or DTLS) connection with the MAF as described in step 1 of clause 8.8.2.3.
+
+The MAF Client shall send a MAF Client configuration retrieval request including the information shown in Table 8.8.2.4-1.
+
+**Table 8.8.2.4-1 – MAF Client configuration retrieval request message information**
+
+| Parameter | Description | Multiplicity |
+|-----------------------|-----------------------------------------------------------------|--------------|
+| MAF-FQDN | FQDN of the MAF, from MAF Instruction Configuration | 1 |
+| mafClientRegID | Identifier for the MAF Client registration record being updated | 1 |
+
+Upon receiving the request, the MAF shall process the request. If error cases are encountered, including if there is no MAF Client configuration currently associated with the identified MAF Client registration record, then the MAF shall send an error response. If the request is processed successfully, then the MAF shall attempt to retrieve the MAF Client configuration currently associated with the identified MAF Client registration record.
+
+The MAF shall compose a MAF Client configuration retrieval response a containing the following parameters.
+
+**Table 8.8.2.4-2 – MAF Client configuration retrieval response message information**
+
+| Parameter | Description | Multiplicity |
+|---------------------|--------------------------------------------------------------------------------------------------|--------------|
+| mafClientCfg | MAF Client Configuration currently associated with the identified MAF Client registration record | 1 |
+
+The MAF shall send the response to the MAF Client.
+
+The MAF Client shall apply the MAF Client configuration.
+
+#### 8.8.2.5 MAF Client registration update procedure
+
+**Purpose:** This procedure enables a MAF Client to update the MAF Client registration by any combination of extending the *expirationTime* of the MAF Client registration record, updating the *labels* or establish a new Km and KmID.
+
+##### Pre-conditions
+
+The MAF Client has previously performed the MAF Client registration procedure to create the MAF Client registration record.
+
+The MAF Client registration record is not expired.
+
+**Procedure description.** The procedure comprises the following steps:
+
+The MAF Client shall establish a TLS (or DTLS) connection with the MAF as described in step 1 of clause 8.8.2.3.
+
+The MAF Client shall send a MAF Client registration update request including the information shown in Table 8.8.2.5-1.
+
+**Table 8.8.2.5-1 – MAF Client registration update request message information**
+
+| Parameter | Description | Multiplicity |
+|-----------------------------------------------------------------------------------|---------------------------------------------------------------------|--------------|
+| MAF-FQDN | FQDN of the MAF, from MAF Instruction Configuration | 1 |
+| mafClientRegID | Identifier for the MAF Client registration record being updated | 1 |
+| expirationTime | Proposed time when the MAF Client registration record shall expire. | 0..1 |
+| labels | Labels to aid discovery of the MAF Client registration record | 0..1 |
+| NOTE – At least one of expirationTime and labels shall be included. | | |
+
+Upon receiving the request, the MAF shall process the request. If error cases are encountered, then the MAF shall send an error response. If the request is processed successfully, then the MAF shall
+
+update the MAF Client registration record with the proposed values if authorized by the administrating stakeholder. The MAF may assign different values for parameters received from the MAF Client, based on instruction from the administrating stakeholder.
+
+The MAF shall compose a MAF Client registration update response a containing the parameters in Table 8.8.2.5-2.
+
+**Table 8.8.2.5-2 – MAF Client registration update response message information**
+
+| Parameter | Description | Multiplicity |
+|-------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------|--------------|
+| expirationTime | Updated time when the MAF Client Registration record shall expire. | 0..1 |
+| labels | Updated labels to aid discovery of the MAF Client Registration record | 0..1 |
+| assignedSymmKeyID | MAF-Assigned master credential ID (KmID), in cases where a new Km is remotely provisioned. | 0..1 |
+| NOTE – The response only includes expirationTime and/or labels if those parameters were present in the corresponding request. | | |
+
+The MAF shall send the response to the MAF Client.
+
+The MAF Client and MAF shall store the parameters. If *assignedSymmKeyID* was included, then the MAF Client shall use this as master credential ID hereafter when establishing TLS (or DTLS) sessions with the MAF.
+
+#### 8.8.2.6 MAF Client de-registration procedure
+
+**Purpose:** This procedure enables a MAF Client to end its registration with the MAF.
+
+**Pre-conditions:** The MAF Client has previously performed the MAF Client registration procedure to create the MAF Client registration record.
+
+The MAF Client registration record is not expired.
+
+**Procedure description:** The procedure comprises the following steps:
+
+The MAF Client shall establish a TLS (or DTLS) connection with the MAF as described in step 1 of clause 8.8.2.3.
+
+The MAF Client shall send a MAF Client de-registration request including the information shown in Table 8.8.2.6-1.
+
+**Table 8.8.2.6-1 – MAF Client de-registration request message information**
+
+| Parameter | Description | Multiplicity |
+|-----------------------|---------------------------------------------------------------|--------------|
+| MAF-FQDN | FQDN of the MAF, from MAF Instruction Configuration | 1 |
+| mafClientRegID | Identifier for the MAF Client Registration record being ended | 1 |
+
+Upon receiving the request, the MAF shall process the request. If error cases are encountered, then the MAF shall send an error response. If the request is processed successfully, then the MAF shall delete the information associated with the identified MAF Client registration record.
+
+The MAF shall compose a MAF Client registration update response indicating the success of the operation. The MAF shall send the response to the MAF Client.
+
+#### 8.8.2.7 MAF key registration procedure
+
+**Purpose:** This procedure enables a source MAF Client to establish a symmetric key with the MAF which can be retrieved for use by one or more target MAF Clients.
+
+This procedure is performed between the source MAF Client and the MAF.
+
+**Pre-conditions:** The source MAF Client is provided with (or has otherwise determined) the information in the MAF Key registration configuration (clause 8.8.3.3).
+
+The source MAF Client has performed the MAF Client Registration Procedure (clause 8.8.2.3) with the MAF for the administrating stakeholder identified in the MAF Key registration configuration.
+
+**Procedure description.** The procedure comprises the following steps:
+
+The source MAF Client shall establish a TLS or DTLS session with the MAF using the MAF Handshake procedure, described in clause 8.8.2.2. A by-product of the MAF handshake procedure is that the MAF establishes an authenticated identity for the source MAF Client.
+
+The source MAF Client selects the value of the M2M secure connection key (Kc) to be distributed by the MAF. The value shall be one of the following:
+
+The source MAF Client generates the output symmetric key value from the (D)TLS session secrets using TLS Key Export ([IETF RFC 5705]), as described in clause 10.3.1 "TLS Key Export Details".
+
+The output symmetric key value is self-generated by the source MAF Client, independently of the (D)TLS session secrets.
+
+The source MAF Client shall compose a list of target MAF Clients to whom the MAF is authorized to provide the output symmetric key value:
+
+In the case of MAF-Based SAEF or MAF-Based ESPrim: The list shall contain exactly one absolute AE-ID or Absolute CSE-ID.
+
+In the case of MAF-Based ESData: The list shall contain any non-zero number of Absolute AE-ID or Absolute CSE-IDs.
+
+NOTE 1 – How the source MAF Client selects the list of target MAF Clients is application dependent.
+
+The source MAF Client shall send a MAF key registration request, including the information shown in Table 8.8.2.7-1.
+
+**Table 8.8.2.7-1 – MAF key registration request message information**
+
+| Parameter | Description | Multiplicity |
+|-----------------------|--------------------------------------------------------------------------------------------------------------------|--------------|
+| MAF-FQDN | FQDN of the MAF, from MAF Instruction Configuration | 1 |
+| expirationTime | Proposed time when the Key Registration shall expire. | 1 |
+| labels | Labels to aid discovery of the Key Registration | 0..1 |
+| adminFQDN | Identifier for the administrating stakeholder | 1 |
+| SUID | The security usage identifier limiting the security feature in which the symmetric key may be used. | 1 |
+| targetIDs | (Optional) list of identifiers for the initial set of target MAF Clients authorized to retrieve the symmetric key. | 0..1 |
+
+**Table 8.8.2.7-1 – MAF key registration request message information**
+
+| Parameter | Description | Multiplicity |
+|------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------|
+| Key Value | (Optional) If present, this parameter contains an output symmetric key value which is self-generated by the source MAF Client. If this parameter is not present, then the source MAF Client and MAF will generate the output symmetric key value using TLS Exporter | 0..1 |
+
+The MAF shall process the request. If error cases are encountered, then the MAF shall send an error response. If the request is processed successfully, then the MAF shall authorize establishing a key value, based on the authenticated identity for the source MAF Client.
+
+NOTE 2 – The present specification provides no details for the authorization of this request.
+
+If the request included a value in the Key Value parameter, then the MAF shall store this value. Otherwise, the MAF shall generate key value from the (D)TLS session using TLS Key Export ([IETF RFC 5705]), as described in clause 10.3.1 "TLS key export details".
+
+The MAF shall initialize the list of authorized target MAF Clients (those MAF Clients which may retrieve this credential) to the list provided in the request.
+
+In the case of MAF-Based ESData: This list may be further updated by administrating stakeholders during or after the MAF Key registration procedure.
+
+NOTE 3 – The present specifications do not provide any details about administrating stakeholders updating the list of authorized target MAF Clients on the MAF. The MAF could provide its own logic and interface allowing administrating stakeholders to manage this list.
+
+The MAF shall select a previously-unused value of RelativeKeyID.
+
+The MAF may assign different values for parameters received from the MAF Client, based on instruction from the administrating stakeholder.
+
+The MAF shall send a response, to the source MAF Client, including the information shown in Table 8.8.2.7-2.
+
+**Table 8.8.2.7-2 – MAF key registration response message information**
+
+| Parameter | Description | Multiplicity |
+|-----------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------|
+| RelativeKeyID | The relative part of the Key Identifier associated with the Key Registration. | 1 |
+| expirationTime | Time when the Key Registration shall expire. | 1 |
+| Source MAF Client ID | Identifier of the source MAF Client. | 1 |
+| labels | Labels to aid discovery of the Key Registration. | 0..1 |
+| adminFQDN | Identifier for the administrating stakeholder. | 1 |
+| SUID | The security usage identifier limiting the security feature in which the symmetric key may be used. | |
+| targetIDs | List of identifiers for the initial set of target MAF Clients authorized to retrieve the symmetric key. This list may have been modified from the list provided by the MAF Client, or created by the MAF (if the MAF Client did not provide a list). | 1 |
+
+The source MAF Client and MAF shall store the output symmetric key value and corresponding Key Identifier.
+
+The Key Identifier is generated from the RelativeKeyID and the M2M authentication function's FQDN by the source MAF Client and MAF, as described in clause 10.3.5 "Generating KcID".
+
+#### **8.8.2.8 MAF key retrieval procedure**
+
+**Purpose:** This procedure enables a target MAF Client to retrieve the key value from a MAF corresponding to a RelativeKeyID received by the target MAF Client.
+
+##### **Pre-conditions:**
+
+The target MAF Client has performed the MAF Client credential configuration (clause 8.8.2.1) with the MAF, including configuration of the MAF Key Retrieval URI.
+
+The source MAF Client has performed the MAF Key registration procedure (clause 8.8.2.2) with the MAF, resulting in a registered Key Value and assigned RelativeKeyID for a specific administrating stakeholder and security usage identifier (SUID).
+
+The target MAF Client received a key identifier from the Initiating-MAF Client in a security feature with the SUID which the source MAF Client provided to the MAF during the MAF Key registration procedure (clause 8.8.2.7). The key identifier shall be composed of the FQDN of the MAF and the RelativeKeyID assigned to the registered key.
+
+The target MAF Client may expect that it is authorized to obtain the corresponding output symmetric key value.
+
+NOTE – The target MAF Client does not have to repeat this procedure if the target MAF Client is already in possession of the corresponding key value.
+
+**Procedure description:** The procedure comprises the following steps:
+
+The target MAF Client shall establish a TLS or DTLS session with the MAF using the MAF Handshake procedure, described in clause 8.8.2.2. A by-product of the MAF handshake procedures is that the MAF establishes an authenticated identity for the target MAF Client.
+
+The target MAF Client shall send a MAF key retrieval request to the MAF including the information shown in Table 8.8.2.8-1.
+
+**Table 8.8.2.8-1 – MAF key retrieval request message information**
+
+| Parameter | Description | Multiplicity |
+|----------------------|---------------------------------------------------------------------------------------------------|--------------|
+| RelativeKeyID | The relative part of the Key Identifier received from the source MAF Client in a security feature | 1 |
+
+The MAF shall process the request. If error cases are encountered, then the MAF shall send an error response. If the request is processed successfully, then the MAF shall identify the key registration using the *RelativeKeyID*.
+
+The MAF shall determine if the target MAF Client is authorized to retrieve the registered key and metadata by comparing the authenticated identifier for target MAF Client against the list of identifiers for authorized target MAF Clients. If the target MAF Client is not authorized, then the MAF shall send, to the target MAF Client, an error message. Otherwise, the MAF shall proceed to the next step.
+
+The MAF shall send a response, to the target MAF Client, including the information shown in Table 8.8.2.8-2.
+
+**Table 8.8.2.8-2 – MAF key registration response message information**
+
+| Parameter | Description | Multiplicity |
+|-----------------------------|-----------------------------------------------------------------------------------------------------|--------------|
+| expirationTime | Time when the Key Registration shall expire. | 1 |
+| Source MAF Client ID | Identifier of the source MAF Client. | 1 |
+| labels | Labels to aid discovery of the Key Registration. | 0..1 |
+| adminFQDN | Identifier for the administrating stakeholder. | 1 |
+| SUID | The security usage identifier limiting the security feature in which the symmetric key may be used. | |
+| Key Value | The registered value of the output symmetric key. | 1 |
+
+The target MAF Client shall associate the parameters with the key identifier.
+
+#### 8.8.2.9 MAF key registration update procedure
+
+**Purpose:** This procedure enables a source MAF Client to update the metadata associated with a registered key.
+
+This procedure is performed between the source MAF Client and the MAF.
+
+**Pre-conditions:** The MAF Client has previously performed the MAF Key registration procedure to create the key registration.
+
+The key registration is not expired.
+
+**Procedure description:** The procedure comprises the following steps:
+
+The MAF Client shall establish a TLS (or DTLS) connection with the MAF as described in step 1 of clause 8.8.2.7.
+
+The source MAF Client shall compose a list of target MAF Clients to whom the MAF is authorized to provide Kc:
+
+In the case of MAF-Based SAEF or MAF-based ESPrim: The list shall contain exactly one Absolute AE-ID or Absolute CSE-ID.
+
+In the case of MAF-Based ESData: The list shall contain any non-zero number of Absolute AE-ID or Absolute CSE-IDs.
+
+NOTE 1 – The present specifications do not provide any details about how the source MAF Client selects the list of target MAF Clients.
+
+The source MAF Client shall send a MAF key registration update request, including the updated information shown in Table 8.8.2.9-1.
+
+**Table 8.8.2.9-1 – MAF key registration update request message information**
+
+| Parameter | Description | Multiplicity |
+|-------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------|--------------|
+| MAF-FQDN | FQDN of the MAF, from MAF Instruction Configuration. | 1 |
+| RelativeKeyID | The relative part of the Key Identifier associated with the Key Registration. | 1 |
+| expirationTime | Proposed time when the Key Registration shall expire. | 0..1 |
+| labels | Proposed Labels to aid discovery of the registered key. | 0..1 |
+| targetIDs | (Optional) proposed list of identifiers for the set of target MAF Clients authorized to retrieve the symmetric key. | 0..1 |
+| NOTE – At least one of expirationTime, labels or targetIDs shall be provided. | | |
+
+The MAF shall process the request. If error cases are encountered, then the MAF shall send an appropriate error response. If the request is processed successfully, then the MAF shall update the metadata with the proposed values if authorized by the administrating stakeholder. The MAF may assign different values for parameters received from the MAF Client, based on instruction from the administrating stakeholder.
+
+The MAF shall send a response, to the source MAF Client, including the information shown in Table 8.8.2.9-2.
+
+**Table 8.8.2.9-2 – MAF key registration update response message information**
+
+| Parameter | Description | Multiplicity |
+|----------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------|
+| expirationTime | Current time when the key registration shall expire, if changed since the last time the MAF Client was provided with the expiration time. | 0..1 |
+| labels | Updated list of labels to aid discovery of the Key Registration, if any. | 0..1 |
+| targetIDs | Current list of identifiers for the initial set of target MAF Clients authorized to retrieve the symmetric key. This list may have been modified from the list provided by the MAF Client. | 0..1 |
+| NOTE – The response includes only those parameters that were present in the corresponding request. | | |
+
+#### 8.8.2.10 MAF key de-registration procedure
+
+**Purpose:** This procedure enables a source MAF Client to request the MAF to stop distributing the registered key.
+
+This procedure is performed between the source MAF Client and the MAF.
+
+**Pre-conditions:** The MAF Client has previously performed the MAF Key registration procedure to create the key registration.
+
+The key registration is not expired.
+
+**Procedure description:** The procedure comprises the following steps:
+
+The MAF Client shall establish a TLS (or DTLS) connection with the MAF as described in step 1 of clause 8.8.2.7.
+
+The MAF Client shall send MAF key de-registration request including the information shown in Table 8.8.2.10-1.
+
+**Table 8.8.2.10-1 – MAF Client de-registration request message information**
+
+| Parameter | Description | Multiplicity |
+|----------------------|------------------------------------------------------------------------------|--------------|
+| MAF-FQDN | FQDN of the MAF, from MAF Instruction Configuration | 1 |
+| RelativeKeyID | The relative part of the Key Identifier associated with the Key Registration | 1 |
+
+Upon receiving the request, the MAF shall process the request. If error cases are encountered, then the MAF shall send an error response. If the request is processed successfully, then the MAF shall delete the information associated with the identified key registration.
+
+The MAF shall compose MAF Client de-registration response indicating the success of the operation. The MAF shall send the response to the MAF Client.
+
+### 8.8.3 MAF Client configuration details
+
+#### 8.8.3.1 MAF Client credential configuration details
+
+The MAF Client and MAF shall be configured with credentials for mutual authentication of the MAF Client and MAF.
+
+The credentials for mutual authentication shall be either pre-provisioned or remotely provisioned thanks to remote security provisioning frameworks. Either symmetric key credentials or certificate credentials may be provisioned. Symmetric key credentials may be used for authenticating some MAF Clients and certificate credentials may be used for authenticating other MAF Clients. The selection may be based on the capabilities of the MAF Client.
+
+The details depend on the type of credential (symmetric key or certificates) and, in the case of symmetric keys, the type of provisioning (pre-provisioning or remote provisioning).
+
+Details specific to **pre-provisioned symmetric keys (PPSKs)**: the master credential (Km) and corresponding master credential identifier (KmID) shall be provisioned to the MAF Client (assuming the role of Enrollee) and the MAF. The format of KmID is defined in clause 10.6 "KmID Format".
+
+Details specific to **remotely-provisioned symmetric keys (RPSKs)**: The MAF Client and an M2M enrolment function (MEF) shall be provisioned with credentials for performing a remote security provisioning (RSPF) Framework. The MAF Client shall be authorized to use the services of the MEF. For more details, see clause 8.3.
+
+NOTE 1 – In this case, the master credential (Km) and master credential identifier (KmID) are established during the MAF Client Registration procedure.
+
+Details specific to **certificates (whether pre-provisioned or remotely provisioned)**: The MAF Client shall be provisioned with an MAF Client certificate with optional certificate chain. The MAF Client certificate shall be a device certificate, AE-ID certificate or CSE-ID certificate.
+
+NOTE 2 – The configuration of MAF trust anchor CA certificates is addressed in MAF Client registration configuration, and can occur separately from MAF Client credential configuration.
+
+The oneM2M device configuration specification [ITU-T Y.4500.22] provides a set of ** specializations that shall be used for MAF Client credential configuration when the MAF Client supports device management (either remotely or via manual input). This Recommendation does not specify how the MAF Client credential configuration is represented when the MAF Client does not support device management.
+
+#### 8.8.3.2 MAF Client registration configuration details
+
+**Purpose:** The MAF Client registration configuration describes the information provisioned to a MAF Client to enable it to perform MAF procedures authorized by an administrating stakeholder. The administrating stakeholder arranges for the MAF Client registration configuration to be provided to the MAF Client.
+
+**Pre-conditions:** The MAF Client and MAF have been configured with credentials which can be used for mutual authentication: see MAF Client credential configuration in clause 8.8.3.1.
+
+If the MAF Client and MAF will use certificates for mutual authentication, then:
+
+- The administrating stakeholder (or another stakeholder acting on behalf of the administrating stakeholder) possesses a copy of the MAF Client's certificate information as defined in clause 8.1.2.4. The MAF is provided with a copy of the MAF Client's certificate information. This Recommendation does not specify how this information is provided to the MAF by the administrating stakeholder (or another stakeholder acting on behalf of the administrating stakeholder).
+
+- The administrating stakeholder (or another stakeholder acting on behalf of the administrating stakeholder) possesses a copy of the MAF trust anchor CA certificates. The MAF Client is provided with a copy of the MAF trust anchor CA certificates.
+
+The administrating stakeholder arranges for the MAF to allow the MAF Client to perform MAF Client registration. This could involve pre-authorization or real-time authorization.
+
+**Details:** The MAF Client registration configuration (*mafClientRegCfg*) includes the information shown in Table 8.8.3.2-1, and has data type *sec:ClientRegCfg* (see clause 12.4.2).
+
+**Table 8.8.3.2-1 – Information in the MAF Client registration configuration**
+
+| Element name | Multiplicity | Notes |
+|-----------------------|--------------|--------------------------------------------------------------------------|
+| expirationTime | 0..1 | Time when the configuration expires |
+| labels | 0..1 | List of labels to enable discovery of the MAF Client registration record |
+| fqdn | 1 | MAF-FQDN (also known as MAF-ID) |
+| adminFQDN | 1 | FQDN of the administrating stakeholder |
+| httpPort | 0..1 | Port number when using HTTP [b-IETF RFC 7730] |
+| coapPort | 0..1 | Port number when using CoAP [b-IETF RFC 7252] |
+| websocketPort | 0..1 | Port number when using WebSocket [b-IETF RFC 6455] |
+
+#### 8.8.3.3 MAF key registration configuration details
+
+**Purpose:** The MAF key registration configuration describes the information provisioned to a MAF Client to enable it to perform MAF procedures authorized by an administrating stakeholder. The administrating stakeholder arranges for the MAF Client registration configuration to be provided to the MAF Client.
+
+**Pre-conditions:** The MAF Client has performed the MAF Client registration procedure with the MAF for the administrating stakeholder.
+
+The MAF Client has currently-valid credentials for mutual authentication with the MAF.
+
+**Details:** The MAF Key registration configuration (*mafKeyRegCfg*) includes the information shown in Table 8.8.3.3-1, and has data type *sec:keyRegCfg* (see clause 12.4.3).
+
+**Table 8.8.3.3-1 – Information in the MAF Key registration configuration**
+
+| Element Name | Multiplicity | Notes |
+|-----------------------|--------------|-----------------------------------------------------------------------------------------------------|
+| expirationTime | 0..1 | Expiration time. |
+| labels | 0..1 | List of labels to enable discovery of the key registration. |
+| adminFQDN | 1 | FQDN of the administrating stakeholder. |
+| SUID | 1 | SUID constraining the usage of the Key Value established during the MAF Key registration procedure. |
+| targetIDs | 0..1 | List of identifiers for authorized target MAF Clients. |
+
+# **9 Security framework procedures and parameters**
+
+## **9.0 Introduction**
+
+This clause specifies procedures and parameters of the phases of security association establishment frameworks (clause 8.2) and remote security provisioning frameworks (clause 8.3).
+
+## **9.1 Security association establishment framework procedures and parameters**
+
+### **9.1.1 Credential configuration parameters**
+
+#### **9.1.1.0 Introduction**
+
+The following credential configuration procedures are described in the present clause:
+
+- credential configuration of Entity A and Entity B, see clause 9.1.1.1.
+- credential configuration of M2M authentication functions, see clause 9.1.1.2.
+
+##### **9.1.1.1 Credential configuration of Entity A and Entity B**
+
+Table 9.1.1.1-1 lists the parameters that may be configured to Entity A during the credential configuration phase and which are common to all security association establishment frameworks.
+
+**Table 9.1.1.1-1 – Parameters that may be configured to Entity A during the credential configuration phase and which are common to all security association establishment frameworks**
+
+| Parameter common to all Security Association Establishment Frameworks |
+|------------------------------------------------------------------------------|
+| (If Entity A is a CSE) Entity A's CSE-ID |
+
+Table 9.1.1.1-2 lists the parameters configured to a Field-Domain Security Association end-points in the credential configuration phase and which are specific to the security association establishment framework.
+
+**Table 9.1.1.1-2 – Parameters configured to a Field Domain Security Association end-point during the credential configuration phase and which are specific to a security association establishment framework**
+
+| security association establishment framework | | Parameter |
+|-----------------------------------------------------|----------------------------------------------------------------|-------------------------------------|
+| Provisioned Symmetric Key | | Kpsa |
+| | | KpsaID |
+| Certificate Based | Entity authenticates itself using a Raw Public Key Certificate | Entity's Private Key |
+| | | Entity's Raw Public Key Certificate |
+| | Entity authenticates itself using a Device Certificate | Entity's Private Key |
+| | | Entity's Certificate and Chain |
+| | Entity authenticates itself using a CSE-ID Certificate | Entity's CSE-ID |
+| | | Entity's Private Key |
+| | | Entity's Certificate and Chain |
+| | Entity authenticates itself using an AE-ID Certificate | Entity's AE-ID |
+| | | Entity's Private Key |
+| | | Entity's Certificate and Chain |
+
+**Table 9.1.1.1-2 – Parameters configured to a Field Domain Security Association end-point during the credential configuration phase and which are specific to a security association establishment framework**
+
+| security association establishment framework | | Parameter |
+|----------------------------------------------|----------|-----------------------------------------------------------------------------------------------------------------------------------------------|
+| MAF-Based | Entity A | MAF Identifier (MAF-ID) |
+| | | master credential (KmID) |
+| | | master credential identifier (KmID) |
+| | Entity B | Entity B and MAF shall be able to establish mutually-authenticated secure communication. The details are not specified in this Recommendation |
+
+The credential configuration of Entity A and Entity B for the provisioned symmetric Key security association establishment framework, or the MAF-Based security association establishment framework is achieved through either:
+
+Pre-provisioning via mechanisms which are not specified in this Recommendation.
+
+Remote provisioning via one of the remote security provisioning frameworks in clause 8.3.
+
+The credential configuration of Entity A and Entity B for the Certificate security association establishment frameworks is performed by pre-provisioning via mechanisms which are not specified in this Recommendation.
+
+#### 9.1.1.2 Credential configuration of M2M authentication functions
+
+Table 9.1.1.2-1 lists the parameters configured to M2M authentication functions in the credential configuration phase. The M2M authentication function's identifier (MAF-ID) is presumed to have been configured prior to the credential configuration phase.
+
+**Table 9.1.1.2-1 – Parameters configured to M2M authentication functions during the credential configuration phase**
+
+| security association establishment framework | | Parameter |
+|----------------------------------------------|-------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------|
+| MAF-Based | A-to-MAF Authentication | master credential (Km) |
+| | | master credential identifier (KmID) |
+| | B-to-MAF Authentication | Entity B and MAF shall be able to establish mutually-authenticated secure communication. The details are not specified in this Recommendation |
+
+The credential configuration of M2M Authentication Framework shall be achieved through either:
+
+Business logic of the Stakeholder operating the M2M authentication function, and the details are not described in this Recommendation.
+
+Remote provisioning via one of the remote security provisioning frameworks in clause 8.3.
+
+### 9.1.2 Association configuration procedures and parameters
+
+#### 9.1.2.0 Introduction
+
+The following association configuration procedures are described in this clause:
+
+Association Configuration of Entity A, see clause 9.1.2.1.1.
+
+Association Configuration of Entity B, see clause 9.1.2.1.2.
+
+Association Configuration of M2M authentication functions, see clause 9.1.2.2.
+
+#### **9.1.2.1 Association configuration of Entity A and Entity B**
+
+##### **9.1.2.1.1 Association configuration of Entity A**
+
+Table 9.1.2.1.1-1 lists the parameters configured to Entity A in the Association Configuration phase and which are common to all security association establishment frameworks.
+
+**Table 9.1.2.1.1-1 – Parameters configured to Entity A during the Association Configuration phase and which are common to all security association establishment frameworks**
+
+| Parameter common to all security association establishment frameworks |
+|-----------------------------------------------------------------------|
+| Entity B's CSE-ID |
+
+Table 9.1.2.1.1-2 lists the parameters configured to Entity A in the Association Configuration phase which are specific to the security association establishment framework.
+
+**Table 9.1.2.1.1-2 – Parameters configured to Entity A during the Association Configuration phase which are specific to a security association establishment framework**
+
+| security association establishment framework | | Parameters specific to the security association establishment frameworks |
+|----------------------------------------------|------------------------------------------------------------|--------------------------------------------------------------------------|
+| Provisioned Symmetric Key | | None |
+| Certificate Based | Entity B is authenticated using Raw Public Key Certificate | Entity B's Public key identifier |
+| | Entity B is authenticated using Device Certificate | Entity B's globally unique hardware instance identifier |
+| | | Entity B's trust anchor information |
+| | Entity B is authenticated using CSE-ID Certificate | Entity B's trust anchor information |
+| | Entity B is authenticated using AE-ID Certificate | Entity B's trust anchor information |
+| MAF-Based | | ^None |
+
+Mechanisms for association configuration of Entity A shall authenticate the configuration source and provide integrity protection for the configured information communicated from the configuration source to the entity.
+
+##### **9.1.2.1.2 Association configuration of Entity B**
+
+Table 9.1.2.1.2-1 lists the parameters configured to the registrar (Entity B) in the association configuration phase.
+
+**Table 9.1.2.1.2-1 – Parameters configured to Entity B during the association configuration phase**
+
+| security association establishment framework | | Parameters specific to the security association establishment frameworks |
+|----------------------------------------------|---------------------------------------------------------------------------------------------|--------------------------------------------------------------------------|
+| Provisioned Symmetric Key | | None |
+| Certificate Based | Entity B is authenticated using Raw Public Key Certificate | None |
+| | Entity B is authenticated using Device Certificate, CSE-ID Certificate or AE-ID Certificate | Entity A's trust anchor information |
+| MAF-Based | | None |
+
+Mechanisms for association configuration of Entity B shall authenticate the configuration source and provide integrity protection for the configured information communicated from the configuration source to the entity.
+
+#### 9.1.2.2 Association configuration of M2M authentication functions
+
+Table 9.1.2.2-1 lists the parameters configured to M2M authentication functions in the association configuration phase.
+
+**Table 9.1.2.2-1 – Parameters configured to M2M authentication functions during the sssociation configuration phase**
+
+| security association establishment framework | | Parameter |
+|----------------------------------------------|-------------------------|----------------------------------|
+| MAF-Based | A-to-MAF Authentication | Entity B's CSE-ID or AE-ID (IdB) |
+
+This Recommendation assumes that association configuration of the M2M authentication functions will utilize business logic of the Stakeholder that operates the M2M authentication function, and the details are not described in the Recommendation.
+
+## 9.2 Remote security provisioning framework procedures and parameters
+
+### 9.2.1 Bootstrap credential configuration procedures and parameters
+
+#### 9.2.1.0 Introduction
+
+The following Bootstrap credential configuration procedures are described in this clause:
+
+Bootstrap credential configuration of Enrolees and enrolment targets (except for the GBA-Based case as discussed below), see clause 9.2.1.1.
+
+Bootstrap credential configuration of M2M enrolment functions (except for the GBA-Based case as discussed above), see clause 9.2.1.2.
+
+The following Bootstrap credential configuration procedures are specified by other organizations:
+
+Bootstrap credential configuration of underlying network service provider authentication servers (e.g., HLR, HSS or AAA) for the GBA-based security association establishment framework. These details are specified by 3GPP TS 33.220 [ETSI TS 133 220], 3GPP2 S.S0109-A [TIA-1098-A].
+
+Bootstrap credential configuration of Enrolees for the GBA-based security association establishment framework. These details are specified by 3GPP TS 33.220 [ETSI TS 133 220], 3GPP2 S.S0109-A [TIA-1098-A].
+
+#### 9.2.1.1 Bootstrap credential configuration of Enrolee
+
+Table 9.2.1.1-1 lists the parameters configured to Enrolees in the bootstrap credential configuration phase for authentication with the M2M enrolment function in the pre-provisioned symmetric Enrolee key remote security provisioning framework and certificate-based remote security provisioning framework.
+
+**Table 9.2.1.1-1 – Parameters configured to Enrolees during the bootstrap credential configuration phase**
+
+| remote security provisioning framework | | Parameter |
+|----------------------------------------------------------------------------------|------------------------------------------------------------------|--------------------------------------|
+| Pre-Provisioned M2M secure connection key authentication. Not applicable to MAF. | | Kpm |
+| | | KpmID |
+| | | MEF URI |
+| Certificate-Based authentication | Enrolee authenticates itself using a raw public key | Enrolee's Private Key |
+| | | Enrolee's Raw Public Key Certificate |
+| | Enrolee authenticates itself using a device certificate | Enrolee's Private Key |
+| | | Enrolee's Certificate and Chain |
+| | Enrolee authenticates itself using a CSE-ID or AE-ID certificate | Enrolee's Private Key |
+| | | Enrolee's Certificate and Chain |
+
+The bootstrap credential configuration of an Enrolee for the pre-provisioned symmetric Enrolee key remote security provisioning framework and certificate-based remote security provisioning framework shall authenticate the configuration source and shall provide confidentiality and integrity protection of the configured information communicated from the configuration source to the secured environment of the Enrolee. This Recommendation does not specify any such mechanisms.
+
+The bootstrap credential configuration of an infrastructure domain enrolment target (including an M2M authentication function) expected to use business logic of the stakeholder operating the infrastructure domain enrolment, and the details are not described in this Recommendation.
+
+#### 9.2.1.2 Bootstrap credential configuration of M2M enrolment functions
+
+It is assumed that an M2M enrolment function already knows its FQDN.
+
+Table 9.2.1.2-1 lists the parameters configured to M2M enrolment functions in the bootstrap credential configuration phase for mutual authentication with Enrolees and Enrolment targets using the pre-provisioned symmetric Enrolee key remote security provisioning framework and certificate-based remote security provisioning framework.
+
+**Table 9.2.1.2-1 – Parameters configured to the M2M enrolment function during the Bootstrap credential configuration phase for mutual authentication with Enrolees and enrolment targets using the pre-provisioned symmetric Enrolee key remote security provisioning framework and certificate-based remote security provisioning framework**
+
+| remote security provisioning framework | Parameters specific to the remote security provisioning frameworks |
+|---------------------------------------------------------------------------------------|--------------------------------------------------------------------|
+| Pre-Provisioned Symmetric Enrolment Key authentication of Enrolee or Enrolment target | Kpm |
+| | KpmID |
+| | MEF Private Key |
+
+**Table 9.2.1.2-1 – Parameters configured to the M2M enrolment function during the Bootstrap credential configuration phase for mutual authentication with Enrolees and enrolment targets using the pre-provisioned symmetric Enrolee key remote security provisioning framework and certificate-based remote security provisioning framework**
+
+| remote security provisioning framework | Parameters specific to the remote security provisioning frameworks |
+|-----------------------------------------------------------------|--------------------------------------------------------------------|
+| Certificate Based authentication of Enrolee or Enrolment target | MEF Certificate and Chain |
+
+The bootstrap credential configuration of M2M enrolment functions is expected to use business logic of the stakeholder operating the M2M enrolment function, and the details are not described in this Recommendation.
+
+### 9.2.2 Bootstrap instruction configuration procedures and parameters
+
+#### 9.2.2.0 Introduction
+
+The following bootstrap instruction configuration procedures are described in this clause:
+
+Bootstrap instruction configuration of Enrolees, see clause 9.2.2.1.
+
+Bootstrap instruction configuration of M2M enrolment functions, see clause 9.2.2.3.
+
+Bootstrap instruction configuration of underlying network service provider authentication servers (e.g., HLR, HSS or AAA), see clause 9.2.2.4.
+
+#### 9.2.2.1 Bootstrap instruction configuration of Enrolees
+
+Table 9.2.2.1-1 lists the parameters configured to an Enrolee during the bootstrap instruction configuration phase which are common to all remote security provisioning frameworks.
+
+**Table 9.2.2.1-1 – Parameters configured to an Enrolee during the bootstrap instruction configuration phase of which are common to all remote security provisioning frameworks**
+
+| Parameter common to all remote security provisioning frameworks |
+|-------------------------------------------------------------------------|
+| Enrolment target Identifier
(Enrolee B's AE-ID or CSE-ID, or MAF-ID) |
+
+Table 9.2.2.1-2 lists the remote security provisioning framework-specific parameters configured an Enrolee in the bootstrap instruction configuration phase of the remote security provisioning framework.
+
+**Table 9.2.2.1-2 – remote security provisioning framework – specific parameters configured to an Enrolee during the Instruction Configuration phase of the remote security provisioning framework**
+
+| remote security provisioning framework | remote security provisioning framework-specific Parameters |
+|-----------------------------------------|------------------------------------------------------------|
+| Pre-Provisioned Symmetric Enrolment Key | Enrolment Expiry |
+| Certificate Based | MEF URI |
+| | MEF Trust Anchor Information |
+| GBA-Based | None |
+
+Mechanisms for bootstrap Instruction configuration of Enrolees shall authenticate the configuration source and shall provide at least integrity protection of the configured information communicated from the configuration source to the Enrolee.
+
+#### **9.2.2.2 This clause intentionally left blank**
+
+#### **9.2.2.3 Bootstrap instruction configuration of M2M enrolment functions**
+
+Table 9.2.2.3-1 lists the parameters configured to an M2M enrolment function during the bootstrap instruction configuration phase which are common to the pre-provisioned symmetric Enrolee key remote security provisioning framework and certificate-based remote security provisioning framework.
+
+**Table 9.2.2.3-1 – Parameters configured to M2M enrolment functions during the bootstrap instruction configuration phase which are common to the pre-provisioned symmetric Enrolee key remote security provisioning framework and Certificate-Based remote security provisioning framework**
+
+| Parameter common to all remote security provisioning frameworks |
+|-----------------------------------------------------------------------|
+| Enrolment target Identity
(Enrolee B's CSE-ID or AE-ID, or MAF-ID) |
+
+Table 9.2.2.3-2 lists the remote security provisioning framework-specific parameters configured to an M2M enrolment functions in the bootstrap instruction configuration phase of the pre-provisioned symmetric Enrolee key remote security provisioning framework and certificate-based remote security provisioning framework.
+
+**Table 9.2.2.3-2 – remote security provisioning framework-specific parameters configured to an M2M enrolment function during the instruction configuration phase of the pre-provisioned symmetric Enrolee key remote security provisioning framework and certificate-based remote security provisioning framework**
+
+| remote security provisioning framework | | remote security provisioning framework-specific Parameters |
+|-----------------------------------------|--------------------------------------------------------------|------------------------------------------------------------|
+| Pre-Provisioned Symmetric Enrolment Key | | Enrolment Expiry |
+| Certificate Based | Enrolee is authenticated using a raw public key certificate | Enrolee's Public key identifier |
+| | Enrolee is authenticated using a device certificate | Enrolee's M2M Device ID |
+| | | Enrolee's Trust Anchor Information |
+| | Enrolee is authenticated using a CSE-ID or AE-ID certificate | Enrolee's Trust Anchor Information |
+
+This Recommendation assumes that bootstrap instruction configuration of the M2M enrolment functions utilizes business logic of the stakeholder that operates the M2M enrolment function, and the details are not described in the Recommendation.
+
+#### **9.2.2.4 Bootstrap instruction configuration of UNSP authentication server**
+
+Table 9.2.2.4-1 lists the parameters configured to an underlying network service provider authentication server (e.g., HLR, HSS or AAA) during the bootstrap instruction configuration phase of the GBA-Based remote security provisioning framework.
+
+**Table 9.2.2.4-1 – Parameters configured to M2M enrolment functions during the bootstrap instruction configuration phase of the GBA-based remote security provisioning framework**
+
+| Parameter | Mandatory/Optional for all remote security provisioning frameworks |
+|--------------------------------------------------------------------------|--------------------------------------------------------------------|
+| Enrolment target Identifier
(Enrollee B's CSE-ID or AE-ID, or MAF-ID) | Mandatory |
+
+The bootstrap instruction configuration of the underlying network service provider authentication server is achieved by updating the GBA user security settings (GUSS) (3GPP TS 33.220 [ETSI TS 133 220]) of the user equipment (UE) upon which the Enrollee is executed. This Recommendation assumes that this bootstrap instruction configuration utilizes business logic of the underlying network service provider, and the details are not described in the Recommendation.
+
+### 9.2.3 End-to-end credential configuration procedures and parameters
+
+#### 9.2.3.0 Introduction
+
+The following end-to-end credential configuration procedures are described in this clause:
+
+End-to-end credential configuration of source ESF end-points and target ESF end-points, see clause 9.2.3.1.
+
+End-to-end credential configuration of trust enabling functions, see clause 9.2.3.2.
+
+Configuration parameters for enabling end-to-end security at source ESF end-points and target ESF end-points, see clause 9.2.3.3.
+
+#### 9.2.3.1 End-to-end credential configuration of source esf end-points and target ESF end-points
+
+It is assumed that the source ESF end-point and the target ESF end-points are configured with the URI of the trust enabling function and have been configured with the appropriate parameters specific to the remote security provisioning frameworks as described in clause 9.2. In addition, the end-to-end credentials are provisioned and appropriate security parameters are provisioned to the target ESF end-points while the source ESF end-point can derive the end-to-end credentials on its own using the relevant security parameters that have been provisioned. Table 9.2.3.1-1 provides a list of the parameters.
+
+**Table 9.2.3.1-1 – Security credentials and parameters provisioned to the target ESF end-points and source ESF end-points**
+
+| Security Protection | End-to-End Security Provisioning Framework Parameters | Description |
+|---------------------------------|-------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| End-to-End Security Credentials | KpsaID | This is the provisioned credential-Id of the M2M provisioned symmetric Key. |
+| | Kpsa | This is the M2M provisioned symmetric Key. This is used to derive the end-to-end master secret, Ke2e_master as described in clause 10.3.6. |
+| | TEF URI | The URI of the trusted-third-party (TEF) entity that is used as the credential generator/registry and enables the registration and generation of end-to-end security credentials. |
+
+**Table 9.2.3.1-1 – Security credentials and parameters provisioned to the target ESF end-points and source ESF end-points**
+
+| Security Protection | End-to-End Security Provisioning Framework Parameters | Description |
+|----------------------------|--------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Cryptographic Parameters | Salt | The salt used for generating the end-to-end credentials. Optional parameter. |
+| | Key Extraction Algorithm: HMAC-Hash | The Key extraction algorithm that is used for generating the various keys shall follow the mechanisms described in [IETF RFC 5869]. |
+| | Cryptographic Labels | The labels that are used by the cryptographic algorithms. The labels shall be used according to clause 10.3.6.1. |
+| Types of Credentials | Message Authenticity (Primitive) | The key used for message authentication and integrity of oneM2M primitives. If the keying material is provided, then it is generated by the ESF target end-point. |
+| | Message Confidentiality (Primitive) | The key that is used for message confidentiality of oneM2M primitives. If the keying material is provided, then it is generated by the target ESF end-point. |
+| | Integrity of Data (Attribute) | Key used for providing integrity of data/attribute. If the keying material is provided, then it is generated by the target ESF end-point. |
+| | Confidentiality of Data (Attribute) | Key used for providing confidentiality of data/attributes. If the keying material is provided, then it is generated by the target ESF end-point. |
+
+#### 9.2.3.2 End-to-end credential configuration at the M2M trust enabling functions
+
+It is assumed that the trust enabling function is configured with the identities of the entities (ESF source and target end-points) and appropriate parameters specific to the remote security provisioning frameworks as described in clause 9.2.
+
+In addition, the trust enabling function is provisioned with the appropriate security parameters, so that the end-to-end security credentials can be derived and the set of the cryptographic parameters can be provisioned to the target ESF end-points once the target ESF end-point has been authenticated. Table 9.2.3.2-1 provides a list of the parameters.
+
+**Table 9.2.3.2-1 – Security parameters provisioned at the M2M enrolment or trust enabling function and source ESF end-point**
+
+| End-to-End Security Protection | End-to-End Security Provisioning Framework Parameters | Description |
+|---------------------------------------|--------------------------------------------------------------|--------------------------------------------------------------------------------------|
+| End-to-End Security Credentials | Kpm | Pre-provisioned credentials between the source ESF end-point and TEF |
+| | KpmID | The credential identity of the pre-provisioned credentials |
+| | Source ESF end-point identity (AE-ID/CSE-ID) | The entity identity that is pre-provisioned with the end-to-end security credentials |
+
+**Table 9.2.3.2-1 – Security parameters provisioned at the M2M enrolment or trust enabling function and source ESF end-point**
+
+| End-to-End Security Protection | End-to-End Security Provisioning Framework Parameters | Description |
+|---------------------------------------------------|--------------------------------------------------------------|-------------------------------------------------------------------------------------------|
+| | target ESF end-point identity (CSE-ID) | |
+| List of required Security Protection and Strength | Message Authentication: (Low – High) | Provides a level of the required strength of the message authentication mechanism |
+| | Message Confidentiality: (Low – High) | Provides a level of the required strength for providing message confidentiality mechanism |
+| | Attribute Integrity: (Low – High) | Provides a level of the required strength for providing attribute integrity |
+| | Attribute Confidentiality: (Low – High) | Provides a level of the required strength for providing attribute confidentiality |
+
+#### 9.2.3.3 Configuration parameters for enabling end-to-end security at source ESF end-points and target ESF end-points
+
+The source ESF end-points and the target ESF end-points are provisioned with the cryptographic parameters that are used to enable and verify end-to-end security protection. In the case of the target ESF end-point, the trust enabling function provisions the parameters to it after a successful authentication and derivation of the secure connection key (Kpsa). In the case of the source ESF end-point, the parameters may have been pre-configured or provisioned in a similar manner as the target ESF end-point, that is, once the derivation of the secure connection key (Kpsa) is done, and shared between the source ESF end-point and the target ESF end-point. Table 9.2.3.3-1 provides a list of the parameters.
+
+**Table 9.2.3.3-1 – Security parameters provisioned to the target ESF end-point and the source ESF end-point**
+
+| End-to-End Security Protection | End-to-End Security Provisioning Framework Parameters | Description |
+|---------------------------------------|----------------------------------------------------------------------------------|----------------------------------------------------------------------------------------|
+| End-to-End Security Credentials | e2e_master | The End-to-End master credential |
+| | E2EKeyId | End-to-End Master credential identity |
+| | target ESF end-point Identity (CSE-ID)
Source ESF end-point Id (AE-ID/CSE-ID) | The identity of the end entity with which the end-to-end credential is associated with |
+| Cryptographic Parameters | Protocol: JWS/JWE, XML Sec | The type of encoding and representation that is used |
+| | Class of cryptographic algorithms: AEAD (single key) or non-AEAD | Defines the class of cryptographic algorithms that shall be used |
+| | Message Authenticity Algorithm/Size: HMAC-SHA-256, HMAC-SHA-512 | Indicates the message authentication algorithm and key size |
+
+**Table 9.2.3.3-1 – Security parameters provisioned to the target ESF end-point
+and the source ESF end-point**
+
+| End-to-End Security Protection | End-to-End Security Provisioning Framework Parameters | Description |
+|---------------------------------------|--------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | Message Confidentiality Algorithm/Size: AES-192/256 | Indicates the message confidentiality algorithm and key size |
+| | Attribute Confidentiality Algorithm: AES-192/256 | Attribute confidentiality algorithm and key size |
+| | Attribute Authenticity Algorithm/Size: HMAC-SHA-256 | Attribute authenticity and integrity algorithm and key size |
+| Cryptographic Usage | Message/Attribute Authenticity: Nonce | The random value that was used for providing freshness. This is only stored temporarily associated with an expiration time and communicated to the other end |
+| | Message/Attribute Confidentiality: Initialization Vector | This random value that is used as the initialization vector for the confidentiality algorithm |
+
+NOTE – For AEAD class of algorithms where only a single key is used, then only a single key would be generated and an associated cryptographic algorithm (e.g., AES-GCM or AES-CCM) identified. In addition, for AEAD class of algorithms, both an IV and a Nonce would not be generated, rather only a single random value, Nonce, would be generated.
+
+# **10 Protocol and algorithm details**
+
+## **10.1 Certificate-based security framework details**
+
+### **10.1.1 Certificate profiles**
+
+The RFCs in this section which identify crypto algorithms are for illustrative purposes only. They are not intended to be an exclusive or definitive list. They do not form a normative part of this Recommendation.
+
+#### **10.1.1.0 General**
+
+NOTE – These certificate profiles are compliant with the CoAP specification [b-IETF RFC 7252].
+
+#### **10.1.1.1 Common certificate details**
+
+All certificates shall conform to the following profile:
+
+Certificates shall conform to [IETF RFC 5280].
+
+The certificate shall include a SubjectPublicKeyInfo that indicates an algorithm of id-ecPublicKey with namedCurves secp256r1 [IETF RFC 5280]; this curve is equivalent to the NIST P-256 curve [NIST EC].
+
+The public key format shall be uncompressed [IETF RFC 5480].
+
+The hash algorithm shall be SHA-256.
+
+The key usage extension shall be included and shall indicate at least digitalSignature.
+
+#### **10.1.1.2 Raw public key certificate profile**
+
+Raw public key certificates shall conform to clause 10.1.1.1 "Common certificate details" and [IETF RFC 7250].
+
+#### **10.1.1.3 Details common to certificates with certificate chains**
+
+Certificates with certificate chains shall conform to the following description:
+
+These certificates shall conform to clause 10.1.1.1 "Common certificate details".
+
+Certificates shall be signed with ECDSA using secp256r1, and the signature shall use SHA-256.
+
+Certificate chains should limit the number of intermediate CA certificates to avoid having a negative impact in constrained environments.
+
+#### **10.1.1.4 Profile for device certificates and their certificate chains**
+
+#### **10.1.1.4.1 Profile for device certificates**
+
+Device certificates shall conform to the following description:
+
+Device certificates shall conform to clause 10.1.1.3 "Details common to the certificates with certificate chains".
+
+The subjectAltName extension of device certificates shall include one or more globally unique hardware instance identifiers.
+
+EXAMPLE: Annex H "Object identifier based M2M device identifier" [ITU-T Y.4500.1] defines an object identifier-based M2M device ID that can be used for providing a one or more globally unique hardware instance identifier. An object identifier-based M2M device ID can be representing in an otherName field in the subjectAltName extension, where:
+
+otherName "type-ID" component is set to the M2M device indication ID (clause H.2.1 "M2M device indication ID" [ITU-T Y.4500.1]) arc of the object identifier M2M Device ID; and
+
+the otherName "value" component is set to the remainder of the object identifier M2M device ID: manufacturer ID arc, model ID arc, serial number ID arc and optional expanded ID arc (see Annex H.2 "OID based M2M device identifier" [ITU-T Y.4500.1]).
+
+NOTE – Providing the Model ID as part of the M2M Device ID can have privacy implications in some scenarios.
+
+#### **10.1.1.4.2 Profile for certificate authority certificates for device certificates**
+
+Certificate authority certificates in the certificate chain for a device certificate shall conform to the following description:
+
+These certificates shall conform to clause 10.1.1.3 "Details common to the certificates with certificate chains".
+
+Certificate authority certificates for device certificates are recommended to use the name constraints extension (see clause 4.2.1.10 "Name constraints" of [IETF RFC 5280]) to constrain the globally unique hardware instance identifiers in subsequent device certificates in a certification path.
+
+EXAMPLE: Name constraints are defined in terms of permitted or excluded name subtrees. Subtrees of an object identifier based M2M device ID name space are represented by an otherName field with:
+
+"type-ID" set to the M2M device indication ID (clause H.2.1 "M2M device indication ID" [ITU-T Y.4500.1]) arc of the applicable object identifier M2M device ID name space; and
+
+"value" set to set to the remainder of the object identifier identifying the subtree.
+
+#### **10.1.1.5 Profile for AE-ID certificates and their certificate chains**
+
+AE-ID certificates and all other certificates in the corresponding certificate chain shall conform to clause 10.1.1.3 "Details common to certificates with certificate chains".
+
+The full URI representation of the AE-ID shall be included in the subjectAltName extension.
+
+The certificate used to sign the AE-ID certificate shall include nameConstraints satisfied by the hostname part of the full URI representation of the AE-ID.
+
+AE-ID certificates shall not include wildcards.
+
+#### **10.1.1.6 Profile for FQDN certificates and their certificate chains**
+
+FQDN certificates and all other certificates in the corresponding certificate chain shall conform to clause 10.1.1.3 "Details common to certificates with certificate chains".
+
+An FQDN Certificate shall include the FQDN of the subject M2M enrolment function in the subjectAltName extension.
+
+FQDN Certificates shall not include wildcards.
+
+#### **10.1.1.7 Profile for CSE-ID certificates and their certificate chains**
+
+CSE-ID certificates and all other certificates in the corresponding certificate chain shall conform to clause 10.1.1.3 "Details common to certificates with certificate chains".
+
+The subjectAltName extension shall include the public domain name representation of the CSE-ID as defined in [ITU-T Y.4500.1].
+
+CSE-ID certificates shall not include wildcards.
+
+#### **10.1.1.8 Profile for Node-ID certificates and their certificate chains**
+
+Node-ID certificates and all other certificates in the corresponding certificate chain shall conform to clause 10.1.1.3 "Details common to certificates with Certificate Chains".
+
+The subjectAltName extension shall include the Node-ID as defined in [ITU-T Y.4500.1].
+
+Node-ID certificates shall not include wildcards.
+
+### **10.1.2 Public key identifiers**
+
+The public key identifier for a raw public key certificate shall be calculated as described in [IETF RFC 7507] [IETF RFC 6920] using the SHA-256 hash algorithm. The public key identifier shall be generated using one of the sha-256-120, sha-256-128 or sha-256 hash algorithms specified in [IETF RFC 6920].
+
+It is recommended that the public key identifier be as long as practical within the deployment constraints.
+
+The trusted public key identifier (received during association configuration or bootstrap instruction configuration) is matched against the raw public key certificate (received during the security handshake) using the following procedure:
+
+A check digest value is computed according to section 2 of [IETF RFC 6920] using the hash algorithm identified in the trusted public key identifier.
+
+The check digest value is compared against the digest value encoded in the trusted public key identifier. If the values are identical then the raw public key certificate matches the trusted public key identifier. Otherwise, the raw public key certificate does not match the trusted public key identifier.
+
+### 10.1.3 Support requirements for each public key certificate flavour
+
+Table 10.1.3 lists, for each of the various types of entity (Field domain CSE, field domain AE, IN-CSE, IN-AE, M2M authentication function and M2M enrolment function), the flavour of certificate that may be issued to the entity and the flavour of other entity's certificates that the entity is required to be able to process. In this table "O" indicates optional, "M" indicates mandatory, "CA" indicates that the option is required if the entity supports the certificate-based security association establishment framework, "CB" indicates conditional on the entity supporting certificate-based remote security provisioning framework.
+
+**Table 10.1.3-1 – Applicability of certificate flavours issued to an entity and flavours of other entity's certificates that the entity is required to be able to process**
+
+| Entity | Flavour of certificate may be issued to entity | | | | | Flavour of other entity's certificates that the entity is recommended to be able to process. | | | | |
+|------------------|------------------------------------------------|--------|--------|-------|------|----------------------------------------------------------------------------------------------|--------|--------|-------|------|
+| | Raw | Device | CSE-ID | AE-ID | FQDN | Raw | Device | CSE-ID | AE-ID | FQDN |
+| Field Domain CSE | O | O | O | – | – | CA | CA | CA | CA | CB |
+| Field Domain AE | O | O | – | O | – | CA | CA | CA | – | CB |
+| IN-CSE | O | – | O | – | – | CA | CA | CA | CA | – |
+| IN-AE | O | – | – | O | – | CA | – | CA | – | – |
+| MAF | – | – | – | – | M | – | – | – | – | M |
+| MEF | – | – | – | – | M | CB | CB | – | – | M |
+
+Mutual authentication between remote management servers and remote management Clients is not considered in this Recommendation. Where supported, remote security administration may be used to provision the certificates.
+
+### 10.1.4 Certificate signing request profile
+
+A certificate signing request (CSR) is a signed object provided to the certificate provisioning server (EST server or SCEP server) to request the issuing of a certificate. certificate provisioning as specified in clause 8.3.6 may be used to issue a certificate to a Node, CSE or AE. The certificate signing request shall include the subjectPublicKeyInfo: the public key and the algorithm with which the key is used.
+
+subjectAltName: This field shall contain the AE-ID, CSE-ID or Node-ID using the name type defined for each type of certificate in clauses 10.1.1.5, 10.1.1.7 and 10.1.1.8.
+
+The certificate signing request may include additional fields and extensions provided by the certificate provisioning server, for example using the EST certificate signing request (CSR) attributes request described in section 2.6 of [IETF RFC 7030].
+
+## 10.2 TLS and DTLS details
+
+### 10.2.1 TLS and DTLS versions
+
+Where TCP payloads are to be secured, TLS v1.2 [IETF RFC 5246] shall be used.
+
+Where UDP payloads are to be secured, DTLS v1.2 [IETF RFC 6347] shall be used, noting that the DTLS v1.2 ciphersuites are identical to the TLS v1.2 ciphersuites.
+
+All implementations shall support the server name indication (SNI) to indicate their authority in the SNI HostName field as defined in section 3 of [IETF RFC 6066]. This is needed so that when a host that acts as a virtual server for multiple Authorities receives a new TLS or DTLS connection, it knows which keys to use for the TLS or DTLS session.
+
+(D)TLS Clients on any Node and (D)TLS servers on MNs shall support at least one of the TLS ciphersuites indicated in clause 10.2.2. "TLS and DTLS ciphersuites for TLS-PSK-Based security frameworks" or clause 10.2.3 "TLS and DTLS ciphersuites for certificate-Based security frameworks".
+
+NOTE – (D)TLS Servers on MN need to support the TLS ciphersuites for those (D)TLS Clients they are expected to interact with.
+
+(D)TLS Servers on INs shall support all of the TLS ciphersuites indicated in clause 10.2.2. "TLS and DTLS ciphersuites for TLS-PSK-Based security frameworks" and 10.2.3 "TLS and DTLS ciphersuites for certificate-based security frameworks".
+
+### **10.2.2 TLS and DTLS ciphersuites for TLS-PSK-based security frameworks**
+
+The following security frameworks:
+
+Provisioned symmetric Key security association establishment framework;
+
+MAF-Based security association establishment framework;
+
+Pre-Shared Key remote security provisioning framework;
+
+GBA-Based remote security provisioning framework;
+
+shall use one of the key exchange algorithms defined in [IETF RFC 4279].
+
+TLS implementations in entities supporting these security frameworks shall implement at least the following TLS ciphersuite:
+
+TLS\_PSK\_WITH\_AES\_128\_CBC\_SHA256 ([IETF RFC 5487]).
+
+DTLS implementations supporting these security frameworks shall implement at least the following ciphersuites:
+
+TLS\_PSK\_WITH\_AES\_128\_CCM\_8 ([IETF RFC 6655]).
+
+The security considerations of section 7 of [IETF RFC 4279] apply. In particular, applications should carefully weigh whether or not they need perfect forward secrecy (PFS) and select an appropriate ciphersuite (section 7.1 of [IETF RFC 4279]).
+
+### **10.2.3 TLS and DTLS ciphersuites for certificate-based security frameworks**
+
+The following security frameworks:
+
+certificate-based security association establishment framework;
+
+Certificate-based security bootstrap framework;
+
+shall use the standard TLS handshake ([IETF RFC 5246]) with the ECDHE\_ECDSA key exchange ([IETF RFC 4492]).
+
+TLS implementations supporting these security frameworks shall implement at least the following ciphersuite:
+
+TLS\_ECDHE\_ECDSA\_WITH\_AES\_128\_CBC\_SHA256, [IETF RFC 5289].
+
+DTLS implementations supporting these security frameworks shall implement at least the following TLS ciphersuite:
+
+TLS\_ECDHE\_ECDSA\_WITH\_AES\_128\_CCM\_8, [IETF RFC 7251].
+
+Implementations supporting these security frameworks shall support authenticating other entities using all available public key certificate flavours (see clause 8.1.2.1 "Public key certificate flavours"):
+
+Raw public key certificate: using the mechanism specified in [IETF RFC 7250], Implementation shall support receiving and processing raw public keys compliant with section 9.1.3.2 "Raw public key certificates" in [b-IETF RFC 7252].
+
+All other certificates: ITU-T X.509 certificates including device hardware identifier. Implementation shall support receiving and processing raw public keys compliant with section 9.1.3.3 "X.509 certificates" in [b-IETF RFC 7252].
+
+### **10.3 Key export and key derivation details**
+
+#### **10.3.1 TLS key export details**
+
+##### **TLS key export details for enrolment key**
+
+Following successful TLS authentication between the Enrollee and M2M enrolment function, see clause 8.3.1.2, the enrolment key (Ke) and RelativeKeID are generated from the (D)TLS session secrets by the Enrollee and M2M enrolment function by applying TLS Key Export ([IETF RFC 5705]) using the label "EXPORTER-oneM2M-Bootstrap" and length 48. The enrolment key (Ke) is set to the value of the 32 least significant bytes, while RelativeKeID is set to the value of the 16 most significant bytes.
+
+##### **TLS Key export details for M2M secure connection key**
+
+Following successful TLS authentication between the Entity A and the M2M authentication function (MAF), see clause 8.8.2.7, the M2M secure connection key (Kc) and the M2M secure connection key Identifier (KcID) are generated from the (D)TLS session secrets by the Entity A and the MAF by applying TLS Key Export ([IETF RFC 5705]) using the label "EXPORTER-oneM2M-Connection" and length 48. The M2M secure connection key (Kc) is set to the value of the 32 least significant bytes, while M2M secure connection key identifier (KcID) is set to the value of the 16 most significant bytes.
+
+##### **TLS key export details for pairwiseE2EKey**
+
+Following successful TLS authentication between the ESCertKE Initiating end-point and ESCertKE Terminating end-point, see clause 8.7.2.2, the pairwiseE2EKey and pairwiseE2EKeyID are generated from the (D)TLS session secrets by the Enrollee and M2M enrolment function by applying TLS key export ([IETF RFC 5705]) using the label "EXPORTER-oneM2M-ESCertKE" and length 48. The pairwiseE2EKey is set to the value of the 32 least significant bytes, while pairwiseE2EKeyID is set to the value of the 16 most significant bytes.
+
+#### **10.3.2 Derivation of master credential from enrolment key**
+
+This clause describes the details when generating a master credential (Km) from an enrolment key (Ke) in security bootstrap frameworks.
+
+The following information shall be used when generating Km from Ke:
+
+the value of the enrolment Key (Ke);
+
+the M2M authentication function identifier (MAF-ID) shall be encoded to an octet string according to UTF-8 encoding rules as specified in [IETF RFC 3629] and apply normalization form KC (NFKC) as specified in [Unicode].
+
+The value of Km shall be generated as:
+
+$$Km = \text{HMAC-SHA-256}(Ke, \text{"oneM2M Enrolment Key to master credential derivation"} \parallel \text{MAF-ID}),$$
+where HMAC-SHA-256 is defined in [IETF RFC 2104].
+
+### 10.3.3 Derivation of provisioned secure connection key from enrolment key
+
+This clause describes the details when generating a provisioned secure connection key (Kpsa) from an enrolment key (Ke) in remote provisioning frameworks.
+
+The following information shall be used when generating Kpsa from Ke:
+
+The value of the enrolment key (Ke).
+
+Enrollee B's CSE-ID or AE-ID (Enrollee-B-ID), which shall be encoded to an octet string according to UTF-8 encoding rules as specified in [IETF RFC 3629] and apply normalization form KC (NFKC) as specified in [Unicode].
+
+The value of Kpsa shall be generated as:
+
+$$\text{Kpsa} = \text{HMAC-SHA-256}(\text{Ke}, \text{"oneM2M enrolment key to provisioned secure connection key derivation"} \parallel \text{Enrollee-B-ID})$$
+
+where HMAC-SHA-256 is defined in [IETF RFC 2104].
+
+### 10.3.4 Generating KeID
+
+The KeID value shall be formed as:
+
+$$\text{KeID} = \text{base64encode}(\text{RelativeKeID})@ \text{MEF\_FQDN}$$
+
+where:
+
+base64encode(RelativeKeID) denotes the base64 encoding ([IETF RFC 3548]) of the value of RelativeKeID; and
+
+MEF\_FQDN denotes the FQDN of the M2M enrolment function.
+
+### 10.3.5 Generating key identifier for the MAF security framework
+
+The key identifier value shall be formed as:
+
+$$\text{Key Identifier} = \text{base64encode}(\text{RelativeKeyID})@ \text{MAF\_FQDN}$$
+
+where:
+
+base64encode(RelativeKeyID) denotes the base64 encoding ([IETF RFC 3548]) of the value of RelativeKeyID; and
+
+MAF\_FQDN denotes the FQDN of the M2M authentication function.
+
+### 10.3.6 Derivation of end-to-end master key from provisioned secure connection key
+
+#### 10.3.6.1 Introduction
+
+This clause describes the details when generating an end-to-end master key (Ke2e\_master) based on a successful establishment of security association between a source ESF end-point and target ESF end-point using a remote security provisioning framework as described in clause 8.3. The mechanisms to generate the end-to-end master key then uses a key extraction process using the provisioned secure connection key, (Kpsa).
+
+The following information shall be used when generating Ke2e from Kpsa:
+
+The value of the provisioned secure connection key (Kpsa).
+
+Source ESF end-point B's CSE-ID or AE-ID (Source ESF end-point-B-ID), which shall be encoded to an octet string according to UTF-8 encoding rules as specified in [IETF RFC 3629] and applying normalization form KC (NFKC) as specified in [Unicode].
+
+The value of Ke2e\_master shall be generated as:
+
+$$\text{Ke2e\_master} = \text{HMAC-Hash}(\text{Salt}, \text{Kpsa}).$$
+
+NOTE – In the case of source-generated credentials, a random value generated by the source ESF end-point is used instead of the Kpsa in order to generate the Ke2e\_master.
+
+### 10.3.6.2 Key extraction and expansion of end-to-end master key
+
+The end-to-end master key (Ke2e\_master) is used to generate the security protection-specific keys. The key extraction and expansion parameters along with the scope are used to generate the various keys. The key extraction and expansion is performed according to the specifications defined in [IETF RFC 5869]. A list of possible end-to-end keys are shown in Table 10.3.6.2-1.
+
+**Table 10.3.6.2-1 – End-to-end security keys**
+
+| Security Protection | Symmetric Keys Generated |
+|-------------------------------------|--------------------------|
+| Message Authenticity (Primitive) | Ke2e_msg_auth |
+| Message Confidentiality (Primitive) | Ke2e_msg_conf |
+| Integrity of Data (Attribute) | Ke2e_att_auth |
+| Confidentiality of Data (Attribute) | Ke2e_att_conf |
+
+The end-to-end security protection keys that are generated by performing a key expansion of the Ke2e\_master using mechanisms specified in [IETF RFC 5869]. Using the generated end-to-end master key, the associated end-to-end message authentication and or end-to-end message confidentiality keys and attribute keys are generated in the following manner:
+
+$T(0)$ = empty string (zero length)
+
+End-to-End Message Authenticity Key (Ke2e\_msg\_auth) = $T(1)$ = HMAC-Hash (Ke2e\_master, $T(0)$ | "E2E Message Authentication Key" | 0x01)
+
+End-to-End Message Confidentiality Key (Ke2e\_msg\_conf) = $T(2)$ = HMAC-Hash (Ke2e\_master, $T(1)$ | "E2E Message Confidentiality Key" | 0x02)
+
+End-to-End Attribute Authenticity Key (Ke2e\_att\_auth) = $T(3)$ = HMAC-Hash (Ke2e\_master, $T(2)$ | "E2E Attribute Authenticity Key" | 0x03)
+
+End-to-End Attribute Confidentiality Key (Ke2e\_att\_conf) = $T(4)$ = HMAC-Hash (Ke2e\_master, $T(3)$ | "E2E Attribute Confidentiality Key" | 0x04)
+
+NOTE 1 – If AEAD algorithms are used, where only a single key is used, then either the Ke2e\_msg\_auth or the Ke2e\_msg\_conf key may be derived and used for both message authenticity as well as message confidentiality.
+
+NOTE 2 – The target ESF end-point can be provisioned with all the required keys or can be provisioned only with the Master End-to-End key (Ke2e\_master) and the associated cryptographic parameters (e.g., labels, random values) which are then used by the target ESF end-point in order to generate the keys required for ESPrim and ESData.
+
+### 10.3.7 Derivation of usage-constrained symmetric keys from enrolment key
+
+This clause describes the details when generating a usage-constrained symmetric key from an enrolment key (Ke) in remote security provisioning frameworks.
+
+The following information shall be used:
+
+The value of the enrolment key (Ke).
+
+The security usage identifier (SUID) applicable for the usage of the symmetric key.
+
+Enrollee target's identifier (Enrolment-Target-ID), which is an FQDN which shall be encoded to an octet string according to UTF-8 encoding rules as specified in [IETF RFC 3629] and apply normalization form KC (NFKC) as specified in [Unicode].
+
+If the enrolment target is a CSE or AE, then the FQDN representation of the absolute CSE-ID or absolute AE-ID shall be used.
+
+The value of the usage-constrained symmetric key shall be generated as:
+
+HMAC-SHA-256(Ke, "oneM2M enrolment key to usage-constrained symmetric key derivation" || SUID || Enrolment-Target-ID);
+
+where HMAC-SHA-256 is defined in [IETF RFC 2104].
+
+### 10.3.8 sessionESPrimKey derivation algorithms
+
+#### 10.3.8.1 Introduction
+
+The sessionESPrimKey is used in end-to-end security of primitives (ESPrim), and derived from pairwiseESPrimKey, receiverESPrimRandObject, originatorESPrimRandObject, see clause 8.4.2.
+
+Clause 10.3.8 specifies the algorithms used for derivation of the sessionESPrimKey used in ESPrim. The available algorithms are listed in Table 10.3.8.1-1.
+
+**Table 10.3.8.1-1 – sessionESPrimKey derivation algorithms**
+
+| Algorithm | Mandatory/Optional | Clause |
+|-------------|--------------------|----------|
+| HMAC-SHA256 | M | 10.3.8.2 |
+
+#### 10.3.8.2 HMAC-SHA256 sessionESPrimKey derivation algorithm
+
+The sessionESPrimkey is derived as:
+
+sessionESPrimKey = HMAC-SHA256 (pairwiseESPrimKey, receiverESPrimRandObject || originatorESPrimRandObject || "oneM2M HMAC-SHA256 sessionESPrimKey derivation algorithm"),
+
+where HMAC-SHA-256 is defined in [IETF RFC 2104].
+
+### 10.4 Credential-ID details
+
+The Credential-ID has two parts:
+
+A type-ID part. The type-ID part is a positive integer defined by datatype sec:credIDTypeID.
+
+A value part which contains a globally-unique identifier for the entity's credential. The value part may use the Roman alphabet, numerals, '.', '\_', '-', and '@'.
+
+The Credential-ID is formed by concatenating the type part, the character '-' and the value part.
+
+NOTE – A Credential-ID is a globally unique identifier used to identify *serviceSubscribedAppRule* resources ([ITU-T Y.4500.1]) and identify credentials in security configuration information.
+
+### 10.5 KpsaID
+
+The KpsaID shall be of the form:
+
+KpsaID = Issuer\_Relative\_KpsaID@Issuer\_FQDN;
+
+where:
+
+Issuer\_Relative\_KpsaID is composed of the Roman alphabet, numerals, '.', '\_' and '-' characters. The issuer of KpsaID shall ensure that no two Kpsa have identical Issuer\_Relative\_KpsaID.
+
+Issuer\_FQDN is an FQDN representing the stakeholder that provisioned Kpsa.
+
+NOTE – This format for KpsaID allows the identity of the Issuer to be extracted from KpsaID.
+
+## 10.6 KmID format
+
+The KmID shall be of the form:
+
+$\text{KmID} = \text{MAF\_RELATIVE\_KmID}@\text{MAF\_FQDN}$ ;
+
+where:
+
+MAF\_RELATIVE\_KmID is composed of the Roman alphabet, numerals, '.', '\_' and '-' characters. The MAF\_RELATIVE\_KmID is not case sensitive. The MAF shall ensure that no two Km have identical MAF\_RELATIVE\_KmID.
+
+MAF\_FQDN denotes the FQDN of the M2M authentication function.
+
+NOTE – This format for KmID allows the identity of the M2M authentication function to be extracted from KmID.
+
+## 10.7 Enrolment expiry
+
+Enrolment expiry is the life time to be applied for the key generated, i.e., Ke as part of the pre-provisioned symmetric Key remote security provisioning. Keys that are generated for establishing security associations between Enrolees and the enrolment targets (i.e., Km or Kpsa) based upon the enrolment key Ke will not be valid after the lifetime expiration of the enrolment credential Ke. Therefore, at the maximum, the lifetime of Km or Kpsa should be set to the lifetime associated with Ke. Once the enrolment expiry is exceeded, the Enrolee has to re-initiate remote provisioning to re-generate keys as described in the remote security provisioning frameworks as described in clause 8.3.2.1.
+
+# 11 Privacy protection architecture using privacy policy manager (PPM)
+
+## 11.1 Introduction
+
+This clause provides an architecture for the privacy policy manager (PPM). PPM is a distributed authorization privacy protection architecture using user's privacy preference.
+
+The PPM is a personal data management framework based on the user's privacy preferences. The PPM creates access control policies from the user's privacy preference and protects the user's Personally Identifiable Information (PII) from unauthorized parties. It may be operated by an M2M Service Provider or another stakeholder acting as trusted third party. If the Service Provider or other stakeholder provides the user's personally identifiable information to third party, the service provider or other stakeholder needs the user's acceptance. In case that the user accepted a privacy policy which indicates provision to third party, the service provider may provide the personally identifiable information to third party. However, if the privacy policy did not include provision to third party, the service provider needs to update the privacy policy and get the user's consent to it.
+
+## 11.2 Relationship between components of PPM and oneM2M
+
+The PPM shall have the following components. Detail of each component is explained in oneM2M TR-0001-Use\_Cases\_Collection [b-oneM2M TR0002]. This clause provides the relationship between the components and components of oneM2M:
+
+Sophisticated consent mechanism for privacy policy:
+
+When an end user subscribes to a service which uses an application provided by an IN-AE, the end user becomes a data subject, and the data subject creates a privacy preference and registers it on the PPM.
+
+This function is described in clause 11.4.1.2.
+
+Functions of the policy decision point (PDP) and policy retrieval point (PRP):
+
+PDP:
+
+When an application requests personal data from an IN-CSE, the PPM replies with an access decision that is decided from access control policies based on the user's privacy preference.
+
+PRP:
+
+When an application requests personal data from an IN-CSE, PDP requests access control policies to the PPM. The PPM replies with the access control policies based on the user's privacy preference.
+
+Components of PDP and PRP are defined in clauses 6.2.2 Authorization; and 7.1 Access Control Mechanism.
+
+Traceability of personal data usage:
+
+PPM shall store the access log that records which IN-AE accessed which kind of collected data.
+
+This function is for further study of oneM2M, but this function can be implemented using components that are defined in oneM2M.
+
+### **11.3 Privacy policy management in oneM2M architecture**
+
+#### **11.3.1 Introduction**
+
+There are four procedures in the use of PPM. This clause explains relationships between steps in the PPM scenario and components of oneM2M:
+
+A data subject joins an IN-CSE such as an M2M Platform.
+
+A data subject subscribes to a service offered by an IN-AE.
+
+An IN-AE requests personal data that are stored in an ASN-CSE, MN-CSE or IN-CSE.
+
+The data subject checks the access log of his/her own personal data and requests the deletion to the IN-AE.
+
+#### **11.3.2 Involved entities**
+
+Data subject:
+
+An end user can make use of services on an IN-CSE by subscribing to a service of an IN-AE which provides functions that control access to information in the IN-CSE.
+
+When an end user subscribes to a service by an IN-AE, the end user becomes a data subject.
+
+AE:
+
+An AE collects various kinds of data, such as sensor inputs.
+
+An AE sends the data to an ASN-CSE, MN-CSE or IN-CSE.
+
+ASN-CSE or MN-CSE:
+
+Policy enforcement point (PEP):
+
+PEP is one of the functions in the CSE.
+
+Policy decision point (PDP):
+
+PDP is one of the functions in the CSE.
+
+Personal data:
+
+Personal data are information that can be used on its own or with other information to identify an individual to form personally identifiable information (PII).
+
+A field domain CSE collects and stores personal data.
+
+Examples of personal data: sensor data, electrical power consumption, operating state of air conditioner, etc.
+
+IN-AE:
+
+An IN-AE provides services to an end user who joins the IN-CSE.
+
+An IN-AE requests personal data from an IN-CSE in order to provide services.
+
+IN-CSE:
+
+M2M portal:
+
+An M2M portal is a kind of Web site or Web application managing services provided by an M2M platform (IN-CSE and related IN-AEs).
+
+An end user accesses a portal to join an IN-CSE. A data subject accesses the portal to subscribe to a service offered by an IN-AE.
+
+PPM:
+
+The PPM shall store access control policies based on user's privacy preference.
+
+A MN-CSE uses the PPM as PDP or PRP, so the PPM shall support both PDP and PRP functionalities:
+
+A PPM portal is a kind of Web site or Web application in the PPM.
+
+An end user accesses a PPM portal to configure the end user's privacy preference.
+
+### **11.3.3 Management flow in PPM architecture**
+
+#### **11.3.3.0 Introduction**
+
+This clause describes the case where an ASN-CSE or MN-CSE stores personal data.
+
+#### **11.3.3.1 Joining an IN-CSE**
+
+When a data subject joins an IN-CSE, the data subject configures a privacy preference using the PPM. A privacy preference explains what kind of data are allowed to be accessed by IN-AEs. Figure 11.3.3.1-1 illustrates the overview of this process.
+
+
+
+The diagram shows the architecture for a data subject joining an IN-CSE.
+ - On the left, 'ASP's application' contains 'ASP1-AE' and 'ASPn-AE' connected via 'Mca' interfaces to the 'M2M platform'.
+ - The 'M2M platform' contains an 'IN-CSE' (with 'resource annc') and an 'M2M portal'.
+ - Below the platform is the 'M2M gateway' containing 'MN-CSE' (with 'resource hosted').
+ - Below the gateway is the 'M2M device' containing 'AE '.
+ - To the right is the 'Privacy policy manager' containing 'AE', 'CSE', 'Privacy preference', and 'PPM portal'.
+ - A 'Data subject' interacts with the 'M2M portal' (labeled 1), the 'PPM portal' (labeled 2), and the 'Privacy preference' (labeled 2).
+ - Interfaces between components include 'Mca', 'Mcc', and 'Mcc or Mcc''.
+ - Interaction (3) is between the M2M device AE and the MN-CSE via 'Mca'.
+ - Reference code: Y.4500.3(23)
+
+**Figure 11.3.3.1-1 – A data subject joins an IN-CSE**
+
+Figure 11.3.3.1-1 – A data subject joins an IN-CSE
+
+1. A data subject accesses the M2M portal of an IN-CSE:
+
+This process typically uses Web access protocols such as HTTP, HTTPS and so on.
+
+This process is described in clause 11.4.1.2.
+
+2. A data subject configures a privacy preference and registers it on the PPM portal. Then, the PPM shall create access control policies based on it:
+
+A data subject accesses the PPM portal, or the M2M portal redirects the data subject to the PPM portal. This process uses Web access protocols.
+
+This process is described in clause 11.4.1.2.
+
+3. An ASN-CSE or MN-CSE collects and stores data from AE.
+
+### 11.3.3.2 Subscription to a service by IN-AE
+
+The data subject can subscribe to various kinds of services provided by IN-AEs through the IN-CSE. Service lists are registered on an M2M portal and the data subject can select services to subscribe to. When the data subject subscribes to a service, the data subject needs to accept a privacy policy. In order for the data subject to easily understand this policy, the PPM shall create the customized privacy policy based on the privacy policy provided by the IN-AE and the data subject's privacy preference. Therefore, the data subject can control personal data and agreement implies understanding of the privacy policy. Figure 11.3.3.2-1 shows the overview of this process.
+
+**Rec. ITU-T Y.4500.3 (01/2023)** 193
+
+
+
+Figure 11.3.3.2-1: The data subject subscribes to an IN-AE's service. This diagram illustrates the interaction between various components in an M2M system. On the left, 'ASP's application' includes 'ASP1-AE' and 'ASPN-AE'. The 'M2M platform' (dashed box) contains 'IN-CSE' (with 'resource annnc' and 'resource annnc'), 'M2M portal', and 'MN-CSE' (with 'resource annnc' and 'Personal data'). Below the platform is the 'M2M gateway' and 'M2M device' (containing 'AE'). On the right, the 'Privacy policy manager' (dashed box) includes 'AE', 'Privacy preference', 'CSE' (with 'ASPN private policy' and 'ASPN ACP'), 'PPM portal', and 'Data subject'. Arrows show interactions: 'Mca' from ASP1-AE and ASPN-AE to IN-CSE; 'Mcc or Mcc'' from IN-CSE to CSE; 'Mcc' from IN-CSE to MN-CSE; 'Mca' from MN-CSE to AE; 'Mcc or Mcc'' from MN-CSE to PPM portal; 'Data subject' to PPM portal; 'PPM portal' to ASPN-AE (labeled (1)); 'M2M portal' to ASPN-AE (labeled (2)); and 'M2M portal' to PPM portal (labeled (2)).
+
+Y.4500.3(23)
+
+**Figure 11.3.3.2-1 – The data subject subscribes to an IN-AE's service**
+
+1. The data subject accesses the portal and select an IN-AE's service to subscribe:
+
+This process typically uses Web access protocols such as HTTP, HTTPS and so on.
+
+This process is described in clause 11.4.1.1.
+
+2. The data subject needs to accept a privacy policy to subscribe to the IN-AE's service. The PPM shall create the customized privacy policy for each data subject based on the data subject's privacy preference. It is easy for the data subject to confirm differences between the privacy preference and the privacy policy and to understand what kind of personal data are collected by the IN-AE. After the data subject accepts the privacy policy, the data subject can subscribe to the IN-AE's service:
+
+The function of creating a customized privacy policy is described in clause 11.4.1.3.
+
+3. The PPM shall create or update access control policies using the privacy policy that the data subject accepted:
+
+The function of creating or updating access control policies in the PPM may rely on the authorization mechanisms specified in clauses 7.3 and 7.4. The details of the synchronization process are not specified in this Recommendation.
+
+### 11.3.3.3 Request for personal data to the IN-CSE
+
+If the IN-AE needs personal data to provide the service, the IN-AE requests the data from the IN-CSE. The PPM shall work as either PDP or PRP.
+
+If the PPM works as PDP, PEP receives access decision from the PPM and controls the data access using them. Figure 11.3.3.3-1 illustrates the overview of this process.
+
+If the PPM works as PRP, PDP retrieves access control policies from the PPM and controls the data access using them. Figure 11.3.3.3-2 illustrates the overview of this process.
+
+## A. The PPM works as PDP
+
+
+
+The diagram illustrates the architecture and data flow for a request for personal data. It shows the interaction between ASP's applications (ASP1-AE, ASPn-AE), the M2M platform (IN-CSE, M2M portal), the M2M gateway (MN-CSE, Personal data, PEP), and the M2M device (AE). The Privacy Policy Manager (PPM) acts as the Policy Decision Point (PDP), interacting with the Policy Rule Processor (PRP) and the Access Element (AE). Arrows indicate the flow of messages: (1) from IN-CSE to MN-CSE, (2) from PEP to PDP, and (3) from MN-CSE to ASPn-AE. The PPM contains an AE, CSE, ASPn-ACP, PDP, and PRP, with Mca and Mcc or Mcc' interfaces.
+
+Figure 11.3.3.3-1: Request for personal data to the IN-CSE (the PPM works as PDP). The diagram illustrates the architecture and data flow for a request for personal data. It shows the interaction between ASP's applications (ASP1-AE, ASPn-AE), the M2M platform (IN-CSE, M2M portal), the M2M gateway (MN-CSE, Personal data, PEP), and the M2M device (AE). The Privacy Policy Manager (PPM) acts as the Policy Decision Point (PDP), interacting with the Policy Rule Processor (PRP) and the Access Element (AE). Arrows indicate the flow of messages: (1) from IN-CSE to MN-CSE, (2) from PEP to PDP, and (3) from MN-CSE to ASPn-AE. The PPM contains an AE, CSE, ASPn-ACP, PDP, and PRP, with Mca and Mcc or Mcc' interfaces.
+
+Y.4500.3(23)
+
+**Figure 11.3.3.3-1 – Request for personal data to the IN-CSE (the PPM works as PDP)**
+
+1. An IN-AE requests personal data from the IN-CSE.
+2. PEP in the ASN-CSE or MN-CSE requests "Decision Request" from the PPM. The PPM shall decide to permit/deny access to personal data using access control policies. Then, the PPM shall reply "Decision Response" to the ASN-CSE or MN-CSE:
+
+In this case, the PPM shall provide an interface that enables access control for personal data using the PPM as PDP.
+
+3. If accessing personal data are permitted, PEP accesses the personal data and sends the personal data to the IN-AE as a response.
+
+## B. The PPM works as PRP
+
+
+
+Figure 11.3.3.3-2: Request for personal data to the IN-CSE (the PPM works as PRP). The diagram illustrates the interaction between various components in an M2M system. On the left, 'ASP's application' includes ASP1-AE and ASPn-AE. In the center, the 'M2M platform' contains an 'IN-CSE' (with resource and resource announcements), an 'M2M portal', and an 'MN-CSE' (with resource announcement). Below the M2M platform is the 'M2M gateway' containing 'Personal data', 'PEP', and 'PDP'. At the bottom is the 'M2M device' with an 'AE'. On the right, the 'Privacy policy manager' contains an 'AE', a 'CSE', and a 'PRP' (which acts as the PPM) connected to 'ASPN-ACP'. Arrows indicate the flow of requests and data: (1) from IN-CSE to MN-CSE; (2) from PEP to PDP and from PRP to PDP; (3) from MN-CSE to ASPn-AE. Security associations Mca and Mcc/Mcc' are also shown.
+
+**Figure 11.3.3.3-2 – Request for personal data to the IN-CSE (the PPM works as PRP)**
+
+1. An IN-AE requests personal data from the IN-CSE.
+2. PEP in the ASN-CSE or MN-CSE requests "Decision Request" from PDP. PDP requests "Policy Request" from the PPM. The PPM shall collect access control policies about "Policy Request" and send the access control policies as "Policy Response" to PDP in the ASN-CSE or MN-CSE. Then, PDP decides to permit or deny access to the personal data using the access control policies and sends a result as "Decision Response" to PEP:
+
+In this case, the PPM shall provide an interface that enables access control for personal data using the PPM as PRP. In the present release, direct dynamic authorization shall be used, with the PPM acting in the role of dynamic authorization server (DAS). See clause 7.3.2.2 for details.
+
+3. If accessing personal data are permitted, PEP accesses the personal data and sends the personal data to the IN-AE as a response.
+
+## 11.4 Privacy policy manager implementation models
+
+### 11.4.1 Using terms and conditions markup language
+
+#### 11.4.1.0 Introduction
+
+
+
+Key
+
+- Selected (Yes)
+- Not Selected (No)
+- OK (Allowed)
+- Conflict
+- Mandatory
+- Optional
+
+Y.4500.3(23)
+
+Figure 11.4.1.0-1: Privacy Policy Manager Implementation Model Using Terms and Conditions Markup Language. The diagram illustrates a stack of filter frames for a privacy policy manager. The frames are arranged in a stack, with the top frame being the 'Descriptors' frame. Below it are frames for 'Provider 1 T and C', 'User #1 preferences', and 'Legal 1 e.g., city'. Further down are frames for 'Legal 2 e.g., state', 'Legal 3 e.g., country', and 'Other e.g., legal 4 region'. The bottom frame is the 'Presented to user #1 provider 1' frame. The frames are labeled 'Privacy tags 1 to n' and 'Application/device 1 to n'. A key indicates the status of the privacy tags: Selected (Yes) (light blue circle), Not Selected (No) (black circle), OK (Allowed) (green circle), Conflict (red circle), Mandatory (red background), and Optional (blue background). A diagonal arrow labeled 'Order of precedence' points from the top frame to the bottom frame. The diagram shows how the privacy tags are filtered through the stack of frames, resulting in a final set of tags presented to the user.
+
+**Figure 11.4.1.0-1 – Privacy Policy Manager Implementation Model Using Terms and Conditions Markup Language, for one end user (#1) and one Application Service Provider (Provider 1)**
+
+The model shown in Figure 11.4.1.0-1 views the components of the privacy policy manager (PPM) for one end user (#1) and one ASP (Provider 1), arranged as a number of selected/not selected filters in a series of stackable filter frames.
+
+Four mandatory filter frames are defined:
+
+Descriptor filter frame.
+
+At least one "Provider terms and conditions" filter frame.
+
+User preferences filter frame.
+
+At least one "Presented to user" filter frame.
+
+Within each filter frame, there are grids representing the privacy tags in the markup language, vertically and the applications and/or devices, horizontally.
+
+For the provider terms and conditions filter frame and user preferences filter frame, each attribute represented by the privacy tag configured as being "selected" or "not selected" for a particular application/device is modelled by "dropping in" an appropriate coloured filter disc.
+
+Discs at the same positions within one or more similarly structured "Presented to user filter frames" detect clear paths through the filter frame stack:
+
+Where provider terms and conditions and user preferences are in agreement, these discs turn green.
+
+Where the paths are blocked by one or more conflicts, similar detectors turn the discs red.
+
+EXAMPLE: If the application service provider (ASP) expects the user to agree to location information to be collected and shared with a third party, then the ASP selects those two attributes (clear discs) If the end user has set a preference that they do not want location information to be collected and shared, then there will be black discs in the user preferences filter frame and path through the stack will be blocked.
+
+Optional additional filter frames may be placed in the stack to "select" or "not select" those same features again by "dropping in" an appropriate coloured filter disc. For example, a Policy Precedence – Country mandate may overrule an application service provider or end user selection. The position of these optional filter frames determines the precedence, with those at the front overruling those at the back.
+
+The assumption with this model is that the vast majority of the provider attributes selected by the application service provider will not conflict with user preferences and will show green. However, there will be a very large numbers of devices, applications and frequency of software updates, and additions replacements of devices. While most will not result in a conflict, those that do will be instantly identified by one or more red discs which are only displayed to the end user, thus avoiding the need to constantly read and reread hundreds of pages of detailed T&C's.
+
+There shall be an instance of this stack for each end user who is registered with the PPM and an instance for each application service provider for which they have subscribed. However, the Descriptor filter frame and optional city/state/country/region filter frames may be shared resources for these instances.
+
+#### **11.4.1.1 Registration of application service provider privacy policy**
+
+Optional registration of an applications privacy policy shall be part of the process of obtaining a Registered App-ID for each application and version and presenting a security certificate to the oneM2M registration authority that is used to authenticate the application and version.
+
+The ASP shall download an application terms and conditions (T&C) import template from the oneM2M App-ID Registry server, if they do not already have the correct application T&C import template.
+
+The application T&C import template shall list in numeric order the tags in normative Annex J.
+
+NOTE – The format of the T&C import template is left to implementation, as long as it is able to convey the information specified in annex J.
+
+For each tag in the list, the ASP shall provide a value for all devices and applications in the scope of the application that the ASP is registering in the format defined in normative Annex J.
+
+The ASP shall process the application T&C import template using their local systems and procedures with input from devices vendors and third parties who provide components of their application to create one or more provider T&C's.
+
+The oneM2M App-ID registry shall, at a minimum, also provide the ASP with the "descriptors list" in the language of the oneM2M partner to support the ASP in completing the T&C import templates to form the set of provider T&C for that ASP.
+
+The security certificate that was used during the App-ID registration process shall also be used to ensure integrity and protect the completed application T&C import template in subsequent storage and transmission.
+
+The oneM2M App-ID registry shall check the authenticity and integrity of the ASP T&C's by verifying the signature with the ASP public key certificate during App-ID registration.
+
+Each ASP or software vendor T&C completed shall be associated to the App-ID in the oneM2M App-ID Registry.
+
+#### **11.4.1.2 Registration of end user privacy preferences**
+
+When an end user subscribes to a service provided by an application service provider, the end user becomes a data subject, and the data subject downloads or views the end user privacy preferences template from the PPM portal.
+
+The template used by the end user to state their privacy preferences shall align with the template used by the application service provider, i.e., the tags as listed in normative Annex J shall be displayed in the same order.
+
+The end user selects and deselects attributes to state their privacy preferences which are then registered on the PPM using the same portal.
+
+#### **11.4.1.3 Creating a customized privacy policy for each end user**
+
+To make it easy for the data subject to confirm differences between the privacy preference and the privacy policy:
+
+- a) If the ASP's selection of the feature represented by the tag value matches the privacy preference selected by the user for that application/device, then the corresponding "presented to user" indicator shall be set to green.
+- b) If the ASP's non selection of the feature represented by the tag value matches the privacy preference set by the user for that application/device, then the corresponding "presented to user" indicator shall be set to green.
+- c) If the ASP's value selected for the feature represented by the tag value matches the privacy preference selected by the user for that application/device, then the corresponding "presented to user" indicator shall be set to green.
+- d) If the ASP's selection of the feature represented by the tag value does not match the privacy preference selected by the user for that application/device, then the corresponding "presented to user" indicator shall be set to red.
+- e) If the ASP's non selection of the feature represented by the tag value does not match the privacy preference selected by the user for that application/device, then the corresponding "presented to user" indicator shall be set to red.
+- f) If the ASP's value set for the feature represented by the tag value does not match the privacy preference set by the user for that application/device, then the corresponding "presented to user" indicator shall be set to red.
+
+The above rules shall be overridden if one or more optional preference profiles are present.
+
+The order of precedence shall be:
+
+- 1) Policy precedence -Region.
+- 2) Policy precedence -Country.
+- 3) Policy precedence -City.
+- 4) Policy precedence – State.
+- 5) Parental control.
+
+## **12 Security-specific oneM2M data type definitions**
+
+### **12.1 Introduction**
+
+Clause 12 contains data type definitions used only within the oneM2M security specifications.
+
+Any data types of XML elements defined for use only within oneM2M security specifications shall use the namespace:
+
+
+This Recommendation, and any XML or XML schema documents produced by oneM2M shall use the prefix "sec:" to refer to that namespace. XML Schema Documents produced by oneM2M relevant to this specification can be found at [b-oneM2M.XML].
+
+## 12.2 Simple security-specific oneM2M data types
+
+Table 12.2-1 describes simple data type definitions specific to security. The types in Table 12.2-1 are either:
+
+Atomic data types derived from XML Schema data types by restrictions other than enumeration.
+
+List data types constructed from other XML Schema or oneM2M-defined atomic data types.
+
+**Table 12.2-1 – Security-specific oneM2M simple data types**
+
+| XSD type name | Used for | Examples | Description |
+|----------------------|-----------------------------------------------------------------------------------|------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------|
+| sec:relKeyID | Relative part of symmetric key Identifiers | 1he83he,
my-key_name,
firstname.lastname | Any combination of the Roman alphabet, numerals, '!', '_' and '-' characters |
+| sec:credentialID | Credential Identifier | 10-thiskey@mymef.com | A sec:credIDTypeID and a xs:anyURI separated by the '-' character. See clause 10.4. The xs:anyURI is the value part of the credential-ID |
+| sec:device ConfigURI | deviceConfigURI attribute of the resource, see [ITU-T Y.4500.32] | 1:http://server.dmpvprovider.com | A sec:devMgmtID value (see clause 12.3.2.2) separated with colon ":" from the URI of a device management server |
+
+## 12.3 Enumerated security-specific oneM2M data types
+
+### 12.3.1 Introduction
+
+The enumerated security-specific oneM2M data types are treated identically to the enumerated oneM2M data types defined in clause 6.3.4 of [ITU-T Y.4500.4]. These data types are based on , with the numeric values interpreted as specified in clause 12.3.2.
+
+### 12.3.2 Enumeration type definitions
+
+#### 12.3.2.1 sec:credIDTypeID
+
+The sec:credIDTypeID enumeration type is used in sec:credentialID to identify the type of the identified credential. Table 12.3.2.1-1 describes the interpretation of the sec:credIDTypeID enumeration type.
+
+**Table 12.3.2.1-1 – Interpretation of the sec:credIDTypeID enumeration type**
+
+| Value | Interpretation | Note |
+|-------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------|
+| 10 | Symmetric key used to authenticate to a MEF (KpmID) | See clause 8.3.2.1 |
+| 11 | Symmetric key used to authenticate to a MAF (KmlID) | See clause 8.8.3.1 |
+| 12 | Symmetric key used to authenticate in an SAEF (KpsaID or KcID) | See clauses 8.2.2.1, 8.2.2.3 |
+| 13 | Symmetric key used to authenticate in ESPrim (pairwiseESPrimKeyID) | See clauses 8.4.2 |
+| 14 | Symmetric key used for direct encryption in the ESData Encryption-only or Nested-Sign-then-encrypt security classes (generic symmetric key identifier format) | See clause 8.5.2 |
+| 15 | Symmetric key used for symmetric key wrap in the ESData Encryption-only or Nested-Sign-then-encrypt security classes (generic symmetric key identifier format) | See clause 8.5.2 |
+| 16 | Symmetric key used for HMAC in the ESData Signature-only security class (generic symmetric key identifier format) | See clause 8.5.2 |
+| 30 | Raw Public Key Certificate used in TLS: (Public Key Identifier) | 10.1.2 |
+| 31 | Device Certificate used in TLS (globally unique hardware instance identifier) | 10.1.1.4 |
+| 32 | CSE-ID Certificate used in TLS (CSE-ID) | [ITU-T Y.4500.1] |
+| 33 | AE-ID Certificate used in TLS (AE-ID) | [ITU-T Y.4500.1] |
+| 41 | Raw Public Key Certificate used for RSA or ECDH Key management in the ESData Encryption-only or Nested-Sign-then-encrypt security classes: (Public Key Identifier) | 10.1.2 |
+| 42 | Device Certificate used for RSA or ECDH Key management in the ESData Encryption-only or Nested-Sign-then-encrypt security classes (globally unique hardware instance identifier) | 10.1.1.4 |
+| 43 | CSE-ID Certificate used for RSA or ECDH Key management in the ESData Encryption-only or Nested-Sign-then-encrypt security classes (CSE-ID) | [ITU-T Y.4500.1] |
+| 44 | AE-ID Certificate used for RSA or ECDH Key management in the ESData Encryption-only or Nested-Sign-then-encrypt security classes (AE-ID) | [ITU-T Y.4500.1] |
+| 51 | Raw Public Key Certificate used for RSA or ECDH Key management in the ESData Signature-only security class: (Public Key Identifier) | 10.1.2 |
+| 52 | Device Certificate used for RSA or ECDSA signatures in the ESData Signature-only security class (globally unique hardware instance identifier) | 10.1.1.4 |
+| 53 | CSE-ID Certificate used for RSA or ECDH Key management in the ESData Signature-only security class (CSE-ID) | [ITU-T Y.4500.1] |
+| 54 | AE-ID Certificate used for RSA or ECDH Key management in the ESData Signature-only security class (AE-ID) | [ITU-T Y.4500.1] |
+| NOTE – The form of the identifier for the credential type is described in brackets. | | |
+
+### 12.3.2.2 sec:devMgmtID
+
+The sec:devMgmtID enumeration type is used in sec:deviceConfigURI as an identifier of the device management technology used for field device configuration (cf. [ITU-T Y.4500.22]). The sec:devMgmtID enumeration type is also used in the *devMgmtID* element of the *devCfgArgs* element of the *cmdArgs* of the MEF Client command *cmdDescription* element (see clause 8.3.9.8) to indicate
+
+the DM protocol to be used for device configuration [ITU-T Y.4500.22]. The *cmdDescription* is an attribute of the ** resource type in [ITU-T Y.4500.32]). Table 12.3.2.2-1 describes the interpretation of the sec:devMgmtID enumeration type.
+
+**Table 12.3.2.2-1 – Interpretation of the sec:devMgmtID enumeration type**
+
+| Value | Interpretation | Note |
+|-------|----------------|------------------------|
+| 1 | OMA DMv1.3 | See [b-ITU-T Y.4500.5] |
+| 2 | OMA DMv2.0 | See [b-ITU-T Y.4500.5] |
+| 3 | OMA LwM2M | See [b-ITU-T Y.4500.5] |
+| 4 | BBF TR-069 | See [b-ITU-T Y.4500.6] |
+
+### 12.3.2.3 sec:cmdClassID
+
+The sec:cmdClassID enumeration type is used in the MEF Client command *cmdDescription* element (see clause 8.3.9.4) to indicate the *cmdClass* of the *cmdDescription*. The *cmdDescription* is an attribute of the ** resource type specified in [ITU-T Y.4500.32]). Table 12.3.2.3-1 describes the interpretation of the sec:cmdClassID enumeration type.
+
+**Table 12.3.2.3-1 – Interpretation of the sec:cmdClassID enumeration type**
+
+| Value | Interpretation | Note |
+|-------|------------------|------------------------------------------------------------------------------------------------------------|
+| 0 | NO_MORE_COMMANDS | The command class is specified in clause 8.3.9.6. |
+| 1 | CERT_PROV | The command class is specified in clause 8.3.9.7
Certificate provisioning is specified in clause 8.3.6 |
+| 2 | DEV_CFG | The command class is specified in clause 8.3.9.8
Device configuration is specified in [ITU-T Y.4500.22] |
+| 3 | MO_NODE | The command class is specified in clause 8.3.9.9 |
+
+### 12.3.2.4 sec:cmdStatusCode
+
+The sec:cmdStatusCode enumeration type is used by the *cmdStatusCode* element to indicate the status of an MEF Client command. The *cmdStatus* is an attribute of the ** resource type specified in [ITU-T Y.4500.32]. Table 12.3.2.4-1 describes the interpretation of the sec:cmdStatusCode enumeration type.
+
+**Table 12.3.2.4-1 – Interpretation of the sec:cmdStatusCode enumeration type**
+
+| Value | Interpretation | Note |
+|-------|---------------------------------------|----------------|
+| 10 | MEF_CLIENT_CMD_ISSUED | See 8.3.9.5.2 |
+| 11 | MEF_CLIENT_CMD_REISSUED | See 8.3.9.5.3 |
+| 20 | MEF_CLIENT_CMD_OK | See 8.3.9.5.4 |
+| 40 | MEF_CLIENT_CMD_REPEATED_CMD_ID | See 8.3.9.5.5 |
+| 41 | MEF_CLIENT_CMD_CLASS_NOT_SUPPORTED | See 8.3.9.5.6 |
+| 42 | MEF_CLIENT_CMD_BAD_ARGUMENTS | See 8.3.9.5.7 |
+| 43 | MEF_CLIENT_CMD_UNACCEPTABLE_ARGUMENTS | See 8.3.9.5.8 |
+| 100 | MEF_CLIENT_CMD_CERT_PROV_SERVER_ERROR | See 8.3.9.5.9 |
+| 101 | MEF_CLIENT_CMD_CERT_PROV_CLIENT_ERROR | See 8.3.9.5.10 |
+
+**Table 12.3.2.4-1 – Interpretation of the sec:cmdStatusCode enumeration type**
+
+| Value | Interpretation | Note |
+|-------|--------------------------------------------|----------------|
+| 201 | MEF_CLIENT_CMD_DEV_CFG_SERVER_ERROR | See 8.3.9.5.11 |
+| 202 | MEF_CLIENT_CMD_DEV_CFG_CLIENT_ERROR | See 8.3.9.5.12 |
+| 300 | MEF_CLIENT_CMD_MO_NODE_NOT_FOUND | See 8.3.9.5.13 |
+| 301 | MEF_CLIENT_CMD_MO_NODE_TYPE_CONFLICT | See 8.3.9.5.14 |
+| 302 | MEF_CLIENT_CMD_MO_NODE_BAD_ARGS | See 8.3.9.5.15 |
+| 303 | MEF_CLIENT_CMD_MO_NODE_UNACCEPTABLE_ARGS | See 8.3.9.5.16 |
+| 304 | MEF_CLIENT_CMD_MO_NODE_INCONSISTENT_CONFIG | See 8.3.9.5.17 |
+| 305 | MEF_CLIENT_CMD_MO_NODE_EXECUTION_ERROR | See 8.3.9.5.18 |
+
+### 12.3.2.5 sec:certProvProtocolID
+
+The sec:certProvProtocolID enumeration type is used for the *certProvProtocolID* element of the *certProvCmdArgs* element of the *cmdArgs* element of the MEF Client Command *cmdDescription* element (see clause 8.3.9.7) to indicate the Certificate Provisioning protocol to be used. The *cmdDescription* is an attribute of the ** resource type specified in [ITU-T Y.4500.32]).
+
+**Table 12.3.2.5-1 – Interpretation of the sec:certProvProtocolID enumeration type.**
+
+| Value | Interpretation | Note |
+|-------|----------------|--------------------|
+| 1 | EST | See clause 8.3.6.2 |
+| 2 | SCEP | See clause 8.3.6.3 |
+
+### 12.3.2.6 sec:certSubjectType
+
+The sec:certSubjectType enumeration type is used for the *certSubjectType* element of the *certProvCmdArgs* element of the *cmdArgs* element of the MEF Client Command *cmdDescription* element (see clause 8.3.9.7) to indicate if the subject of the provisioned certificate will be a Node, CSE or AE. The *cmdDescription* is an attribute of the ** resource type specified in [ITU-T Y.4500.32]).
+
+**Table 12.3.2.6-1 – Interpretation of the sec:certSubjectType enumeration type.**
+
+| Value | Interpretation | Note |
+|-------|----------------|------------------------------------|
+| 1 | Node-ID | See [ITU-T Y.4500.1], clause 7.1.5 |
+| 2 | CSE-ID | See [ITU-T Y.4500.1], clause 7.2 |
+| 3 | AE-ID | See [ITU-T Y.4500.1], clause 7.2 |
+
+### 12.3.2.7 sec:objectTypeID
+
+The sec:objectTypeID enumeration type is used for the *objectTypeID* element of the *MONodeCmdArgs* element of the *cmdArgs* element of the MEF Client Command *cmdDescription* element (see clause 8.3.9.9) to indicate the type of an MO Node. The *cmdDescription* is an attribute of the ** resource type specified in [ITU-T Y.4500.32]).
+
+**Table 12.3.2.7-1 – Interpretation of the sec:certProvProtocolID enumeration type.**
+
+| Value | Interpretation | Note |
+|-------|----------------------------------|-------------------------------------------------|
+| 1 | [ authenticationProfile ] | See [ITU-T Y.4500.22], clauses 7.1.4 and 7.2.4. |
+| 2 | [ trustAnchorCred ] | See [ITU-T Y.4500.22], clauses 7.1.6 and 7.2.6. |
+| 3 | [ MAFClientRefCfg ] | See [ITU-T Y.4500.22], clauses 7.1.7 and 7.2.7. |
+
+## 12.4 Complex security-specific oneM2M data types
+
+### 12.4.1 MAF and MEF client configuration data
+
+Table 12.4.1-1 defines the assignment of data types to the four data containers which are used in MAF and MEF client registration and key registration configuration procedures. Note that these data containers are not defined in the form of resource types since the information is not remotely accessible. The information elements of these containers are managed by means of Device Management procedures (cf. [ITU-T Y.4500.22]) or by manual provisioning. Table 12.4.1-1 lists types used in MAF and MEF registration configuration procedures.
+
+**Table 12.4.1-1 – Types used in MAF and MEF registration configuration procedures**
+
+| data container name | Used in | Data Type | Notes |
+|------------------------|-----------------------------------------------------------|------------------|-------------------|
+| mefClientRegCfg | MEF Client registration configuration, see clause 8.3.7.2 | sec:clientRegCfg | See clause 12.4.2 |
+| mafClientRegCfg | MAF Client registration configuration, see clause 8.8.3.2 | | |
+| mefKeyRegCfg | MEF Key registration configuration, see clause 8.3.7.3 | sec:keyRegCfg | See clause 12.4.3 |
+| mafKeyRegCfg | MAF Key registration configuration, see clause 8.8.3.3 | | |
+
+### 12.4.2 sec:clientRegCfg
+
+Data type sec:clientRegCfg applies to the *mefClientRegCfg* and *mafClientRegCfg* data containers used in MEF Client registration configuration and MAF Client registration configuration, see clause 8.3.7.2 and clause 8.8.3.2, respectively. Table 12.4.2-1 gives the type definition of sec:clientRegCfg.
+
+**Table 12.4.2-1 – Type definition of sec:clientRegCfg**
+
+| Element Path | Element Type | Multiplicity | Notes |
+|-----------------------|-----------------|--------------|------------------|
+| expirationTime | m2m:timestamp | 0..1 | [ITU-T Y.4500.4] |
+| labels | m2m:labels | 0..1 | [ITU-T Y.4500.4] |
+| fqdn | xs:anyURI | 1 | |
+| adminFQDN | xs:anyURI | 1 | |
+| httpPort | xs:unsignedByte | 0..1 | |
+| coapPort | xs:unsignedByte | 0..1 | |
+| websocketPort | xs:unsignedByte | 0..1 | |
+
+### 12.4.3 sec:keyRegCfg
+
+Data type sec:keyRegCfg applies to the *mefKeyRegCfg* and *mafKeyRegCfg* data containers used in MEF key registration configuration and MAF Key registration configuration, see clause 8.3.7.3 and clause 8.8.3.3, respectively. Table 12.4.3-1 gives the type definition of sec:keyRegCfg.
+
+**Table 12.4.3-1 – Type definition of sec:keyRegCfg**
+
+| Element Path | Element Type | Multiplicity | Notes |
+|-----------------------|-----------------|--------------|------------------|
+| expirationTime | m2m:timestamp | 0..1 | [ITU-T Y.4500.4] |
+| labels | m2m:labels | 0..1 | [ITU-T Y.4500.4] |
+| adminFQDN | xs:anyURI | 1 | |
+| SUID | m2m:suid | 1 | [ITU-T Y.4500.4] |
+| targetIDs | m2m:listOfM2MID | 0..1 | [ITU-T Y.4500.4] |
+
+### 12.4.4 sec:cmdDescription
+
+The sec:cmdDescription complex type is used by the *cmdDescription* element to describe an MEF Client command, described in clause 8.3.9.5. The *cmdDescription* is an attribute of the ** resource type specified in [ITU-T Y.4500.32]. Table 12.4.4-1 gives the type definition of sec:cmdDescription.
+
+**Table 12.4.4-1 – Type definition of sec:cmdDescription**
+
+| Element Path | Element Type | Multiplicity | Notes |
+|-------------------|----------------|--------------|---------------------|
+| cmdClassID | sec:cmdClassID | 1 | See clause 12.3.2.3 |
+| cmdArgs | sec:cmdArgs | 1 | See clause 12.4.5 |
+| targetID | m2m:ID | 1 | [ITU-T Y.4500.4] |
+
+### 12.4.5 sec:cmdArgs
+
+The sec:cmdArgs complex type is used by the *cmdArgs* element of datatype sec:cmdDescription. Table 12.4.5-1 gives the type definition of sec:cmdArgs.
+
+**Table 12.4.5-1 – Type definition of sec:cmdArgs**
+
+| Element Path | Element Type | Multiplicity | Notes |
+|------------------------|---------------------|--------------|-------------------|
+| noMoreCmdArgs | sec:noMoreCmdArgs | 0..1 | See clause 12.4.6 |
+| certProvCmdArgs | sec:certProvCmdArgs | 0..1 | See clause 12.4.7 |
+| devCfgCmdArgs | sec:devCfgCmdArgs | 0..1 | See clause 12.4.8 |
+| MONodeCmdArgs | sec:MONodeCmdArgs | 0..1 | See clause 12.4.9 |
+
+This type is an xs:choice. It shall contain elements from no more than one row listed in Table 12.4.5-1.
+
+### 12.4.6 sec:noMoreCmdArgs
+
+The sec:noMoreCmdArgs complex type is used in sec:cmdDescription. Table 12.4.6-1 gives the type definition of sec: noMoreCmdArgs.
+
+**Table 12.4.6-1 – Type definition of sec: noMoreCmdArgs**
+
+| Element Path | Element Type | Multiplicity | Notes |
+|----------------------|--------------|--------------|-------|
+| retryDuration | xs:duration | 1 | |
+
+**12.4.7 sec:certProvCmdArgs**
+
+The sec:certProvCmdArgs complex type is used in sec:cmdDescription. Table 12.4.7-1 gives the type definition of sec:certProvCmdArgs.
+
+**Table 12.4.7-1 – Type definition of sec:certProvCmdArgs**
+
+| Element Path | Element Type | Multiplicity | Notes |
+|---------------------------|-----------------------------------|--------------|-------------------------------------|
+| certProvProtocolID | sec:certProvProtocolID | 1 | See clause 12.3.2.5 |
+| URI | xs:anyURI | 1 | |
+| certSubjectType | sec:certSubjectType | 1 | See clause 12.3.2.6 |
+| certSubjectID | xs:union of m2m:nodeID and m2m:ID | 1 | See [ITU-T Y.4500.4], clause 6.3.3. |
+
+**12.4.8 sec:devCfgCmdArgs**
+
+The sec:devCfgCmdArgs complex type is used in sec:cmdDescription. Table 12.4.8-1 gives the type definition of sec:devCfgCmdArgs.
+
+**Table 12.4.8-1 – Type definition of sec:devCfgCmdArgs**
+
+| Element Path | Element Type | Multiplicity | Notes |
+|------------------------|---------------------|--------------|-----------------|
+| deviceConfigURI | sec:deviceConfigURI | 1 | See clause 12.2 |
+
+**12.4.9 sec:MONodeCmdArgs**
+
+The sec:MONodeCmdArgs complex type is used in sec:cmdDescription. Table 12.4.9-1 gives the type definition of sec:MONodeCmdArgs.
+
+**Table 12.4.9-1 – Type definition of sec:MONodeCmdArgs**
+
+| Element Path | Element Type | Multiplicity | Notes |
+|------------------------------|---------------------------|--------------|---------------------|
+| objectPath | xs:anyURI | 1 | |
+| objectTypeID | sec:objectTypeID | 1 | See clause 12.3.2.7 |
+| objectTypeSpecifcArgs | sec:authProfileMONodeArgs | 0..1 | See clause 12.4.10 |
+
+**12.4.10 sec:authProfileMONodeArgs**
+
+The sec:authProfileMONodeArgs complex type is used in sec:MONodeCmdArgs. Table 12.4.10-1 gives the type definition of sec:authProfileMONodeArgs.
+
+**Table 12.4.10-1 – Type definition of sec:authProfileMONodeArgs**
+
+| Element Path | Element Type | Multiplicity | Notes |
+|--------------|--------------|--------------|-----------------------------------------|
+| SUID | m2m:suid | 1 | See [ITU-T Y.4500.4], clause 6.3.4.2.39 |
+
+## **Annex A**
+
+### **Blank annex**
+
+*This annex is intentionally left blank.*
+
+## **Annex B**
+
+### **Blank annex**
+
+*This annex is intentionally left blank.*
+
+## **Annex C**
+
+### **Security protocols associated to specific SE technologies**
+
+(This annex forms an integral part of this Recommendation.)
+
+#### **C.0 Introduction**
+
+The secure environment supporting security functions specified by oneM2M provides a level and a type of protection (e.g., integrity protection, confidentiality, tamper resistance) to the information it contains, independently of the method of protection (e.g., UICC, embedded security element, TEE, etc.). Administration of their content is implementation dependent and relies on existing standards, within specific secure environment technologies. Some of them are listed below for information.
+
+#### **C.1 UICC**
+
+In case of UICC (SE compliant with [ETSI TS 102 671]), over the air (OTA) mechanisms as specified in [ETSI TS 102 225] and [ETSI TS 102 226], and its extensions [ETSI TS 131 115], [ETSI TS 131 116] for 3GPP underlying networks or [ARIB STD-T64-C.S0078-0] and [ARIB STD-T64 C.S0079-0] for 3GPP2 underlying networks shall be supported to enable security administration of the sensitive data of the M2M service layer. UICC provides the highest protection level 3 against attacks according to the classification of protection levels.
+
+#### **C.2 Other secure element and embedded secure element with ISO 7816 interface**
+
+In the case where the secure environment is implemented as a security element or as an embedded security element supporting an ISO/IEC 7816 interface [ISO/IEC 7816-4], example of remote administration can be according to GlobalPlatform remote administration [b-GP DTSERAM]. An embedded secure element provides the highest protection level 3 against attacks according to the classification of protection levels.
+
+#### **C.3 Trusted execution environment**
+
+In the case where the secure environment is implemented as a trusted execution environment (TEE) according to GlobalPlatform [b-GP TEESystem], remote administration shall be supported as specified in GlobalPlatform remote administration [b-GP TEEAdmin]. TEE provides the medium protection level 2 against attacks according to the classification of protection levels.
+
+#### **C.4 SE to CSE binding**
+
+In the case where the SE is implemented as an independent security element supporting [ETSI TS 102 221], the platform-to-platform secure channel specified in [ETSI TS 102 484] provides logical binding of the SE to a specific CSE or AE. This also protects the information exchanged between the SE and the associated entity on physically exposed interfaces, and is therefore recommended for devices that are physically exposed to attackers.
+
+## Annex D
+
+### UICC security framework to support oneM2M services
+
+(This annex forms an integral part of this Recommendation.)
+
+#### D.0 Introduction
+
+This annex is applicable when UICC (a type of independent security element compliant with [ETSI TS 102 221] and [ETSI TS 102 671]) is involved in M2M service layer security, whether it only serves as a means to pre-provision M2M service layer material in M2M devices/gateways, or it is further used as secured environment in an M2M device/gateway.
+
+Specifically, the involvement of UICC in oneM2M security may include any of the following steps:
+
+- Pre-provisioning of initial credentials in M2M nodes by any of the following methods:
+- Simple pre-provisioning and administration of M2M service material (initial credentials and other pre-provisioned parameters), i.e., UICC-based M2M service provisioning.
+- Support for infrastructure assisted bootstrapping of the M2M symmetric credentials by derivation from symmetric access network credentials stored in the UICC, using GBA.
+- Derivation of a security association key directly derived from symmetric access network credentials, using GBA. Note that this process can be supported by a network access application on the UICC independently of the presence of the information structure specified in the present annex.
+- The support of UICC provisioning of M2M service subscription information shall be indicated in the M2M service table for the corresponding M2M service subscription as specified in the present annex.
+- The support of key derivation using GBA that may be used for bootstrapping or security association shall always be indicated in the service table of the UICC application of the access network operator supporting the GBA infrastructure.
+
+At the most basic level, UICC-based M2M pre-provisioning requires an interoperable framework to store and administrate related information in the UICC. Further involvement requires a framework for discovery of available services offered by the UICC for the hosting M2M field node. The purpose of the present annex is to specify this framework, which enables both initial service provisioning and remote security administration of the subscription information during the subscription lifetime.
+
+A common scenario is where an M2M field node holds a UICC application protecting access network security credentials, and these credentials are used to derive M2M service layer security credentials used for M2M service bootstrapping or security association establishment in the service layer. As these scenarios require a trust agreement between the involved access network operator and M2M service provider, UICC support for M2M services in such situation shall be handled within the context of the associated Network Access application on the UICC. In particular, the UICC support for M2M credentials derivation using GBA shall be indicated within the UICC application of the access network operator. This is specified in clause D.1.
+
+Even when the M2M service layer credentials are not derived from access network credentials, the UICC may be used as a secure environment that securely protects the symmetric or asymmetric credential used to root security in an M2M field node. In such cases, the M2M subscription information and related methods constitute an independent application that resides on a UICC, in the sense of [ETSI TS 102 221]. In particular, [ETSI TS 102 221] specifies the application independent properties of the UICC/terminal interface such as the physical characteristics and the logical structure.
+
+NOTE – A terminal in the sense of [ETSI TS 102 221] is the part of the M2M field node that holds the UICC, e.g., a communication modem or an M2M node processing environment.
+
+The specific properties of the M2M service provider identity module application holding symmetric credentials is specified in clause D.2.
+
+The storage of M2M information elements in the UICC and the procedures used for communication between the hosting M2M field node and the UICC shall be as specified in the present annex. The present annex uses abbreviations and coding conventions defined in [ETSI TS 102 221].
+
+## **D.1 Access network UICC-based oneM2M service framework**
+
+### **D.1.1 Access network UICC-based oneM2M service framework characteristics**
+
+An access network UICC-based oneM2M service framework is always associated with a single M2M service subscription and consists of a single DF, $DF_{1M2M}$ , complying with the specifications in clause D.1.3, implemented in the ADF of a network access application on the UICC. This situation addresses the case where a trust relationship has been established between the M2M SP and the AN operator owning the hosting ADF.
+
+NOTE 1 – This does not necessarily imply that the access network credentials of the corresponding ADF are used to derive the M2M service layer credentials: e.g., an access network operator may refuse derivation from access network credentials to an M2M service provider, but may still accept to provide space on its UICC to pre-provision independent credentials or support service infrastructure-assisted bootstrapping.
+
+There may be several oneM2M service frameworks ( $DF_{1M2M}$ ) within the ADF of a single access network subscription, in case this Access Network subscription is used by several independent M2M Service subscriptions. The file IDs of the $DF_{1M2M}$ in any ADF shall be listed under the corresponding entry in $EF_{DIR}$ as specified in clause D.1.2.
+
+NOTE 2 – A single M2M service layer subscription can also use multiple access networks: such subscriptions are best provisioned in a dedicated ADF as specified in clause D.2.
+
+The content of any $DF_{1M2M}$ in an Access Network application ADF shall be as specified in clause D.1.3.
+
+### **D.1.2 M2M service framework discovery for access network UICC**
+
+When a UICC network access application supports one or more M2M service subscriptions, with a $DF_{1M2M}$ , the $EF_{DIR}$ entry corresponding to this UICC network access application shall contain the following M2M related data objects listed in Tables D.1 to D.3:
+
+oneM2M service framework DO: defining the association between the identifier of one M2M service subscription provisioned in the ADF and the related DF corresponding to this M2M subscription. Likewise, each M2M service subscription is associated to one DF. Each of these DFs is hereafter referred as $DF_{1M2M}$ .
+
+There shall be as many oneM2M service framework data objects as there are M2M service subscriptions provisioned in the ADF.
+
+**Table D.1 – Coding of oneM2M related DOs**
+
+| Bytes | Length | Description | Status |
+|------------|--------|------------------------------------------|--------|
+| 1 | 1 | Discretionary template tag = '73' | M |
+| 2 | 1 | Length of the discretionary template = X | M |
+| 3 to (2+X) | X | Discretionary Template | X |
+
+**Table D.2 – Coding of oneM2M Discretionary Template related DOs**
+
+| Bytes | Length | Description | Status |
+|------------|--------|-------------------------------------------------|--------|
+| 1 | 1 | oneM2M service specific data content tag = 'A2' | M |
+| 2 | 1 | M2M service specific data content length = Y | M |
+| 3 to (2+Y) | Y | M2M service specific data content | M |
+
+**Table D.3 – Coding of oneM2M Service Specific Data Content related DOs**
+
+| Bytes | Length | Description | Status |
+|------------|--------|----------------------------------------------------------------------|--------|
+| 1 | 1 | oneM2M supported service provisioning tag = '80' | M |
+| 2 | 1 | Length of the M2M supported service provisioning tag = A | M |
+| 3 to 4 | 2 | M2M Dedicated File Identifier for following M2M service subscription | M |
+| 5 to (A+2) | (A-2) | M2M Subscription Identifier | M |
+
+Coding:
+
+M2M dedicated file identifier:
+
+Contain the file identifier of the $DF_{1M2M}$ associated to the provisioning of the M2M service subscription identified in the DO.
+
+M2M subscription identifier:
+
+The identifier of the M2M service subscription provisioned in the $DF_{1M2M}$ is indicated in the data object, encoded in binary format.
+
+### D.1.3 Content of files at the $DF_{1M2M}$ level
+
+#### D.1.3.0 Introduction
+
+This clause specifies the EFs for the M2M service provisioning specific to a single M2M service provider, defining access conditions, data items and coding. A data item is a part of an EF which represents a complete logical entity.
+
+The file structure for $DF_{1M2M}$ is illustrated in Figure D.1.
+
+
+
+```
+
+graph TD
+ ADFhosting[ADFhosting AN] --> DF1M2M["DF1M2M
+(FID in EFDIR)"]
+ DF1M2M --> EF1M2MST["EF1M2MST
+'6F0A'"]
+ DF1M2M --> EF1M2MSID["EF1M2MSID
+'6F02'"]
+ DF1M2M --> EF1M2MSPID["EF1M2MSPID
+'6F03'"]
+ DF1M2M --> EF1M2MNID["EF1M2MNID
+'6F04'"]
+ DF1M2M --> EFCSEID["EFCSEID
+'6F05'"]
+ DF1M2M --> EF1M2MAEID["EF1M2MAEID
+'6F06'"]
+ DF1M2M --> EF1M2MSEIDS["EF1M2MSEIDS
+'6F08'"]
+ DF1M2M --> EF1M2MAFFQDN["EF1M2MAFFQDN
+'6F09'"]
+
+```
+
+Figure D.1: File structure for DF1M2M. The diagram shows a hierarchical structure starting with ADFhosting AN, which points to DF1M2M (FID in EFDIR). DF1M2M then branches into two rows of four EFs each. The top row contains EF1M2MST ('6F0A'), EF1M2MSID ('6F02'), EF1M2MSPID ('6F03'), and EF1M2MNID ('6F04'). The bottom row contains EFCSEID ('6F05'), EF1M2MAEID ('6F06'), EF1M2MSEIDS ('6F08'), and EF1M2MAFFQDN ('6F09').
+
+
+
+Diagram showing a hierarchical file structure. A top-level line branches down to a box labeled 'EF\_MEFID' with the value ''6F07'' inside it. Other branches lead to empty horizontal lines representing other files or directories.
+
+**Figure D.1 – File identifiers and directory structures of DF1M2M in a hosting Access Network application ADF**
+
+### D.1.3.1 EF1M2MST (oneM2M service table)
+
+This EF indicates which optional oneM2M services are available for the corresponding subscription. If a service is not indicated as available in the oneM2M DF, the hosting M2M field node shall not select this service. The presence of this file is mandatory if optional services are provided by the subscription.
+
+| Identifier: '6F0A' | | Structure: transparent | | Mandatory | | | |
+|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------|------------------------|----------------------|-----------|--------|--|--|
+| SFI: '0A' | | | | | | | |
+| File size: X bytes, $X \geq 1$ | | | Update activity: low | | | | |
+| Access Conditions:
READ ALW
UPDATE ADM
DEACTIVATE ADM
ACTIVATE ADM | | | | | | | |
+| Bytes | Description | | | M/O | Length | | |
+| 1 | Services n°1 to n°8 | | | M | 1 byte | | |
+| 2 | Services n°9 to n°16 | | | O | 1 byte | | |
+| 3 | Services n°17 to n°24 | | | O | 1 byte | | |
+| 4 | Services n°25 to n°32 | | | O | 1 byte | | |
+| etc. | | | | | | | |
+| X | Services n°(8X-7) to n°(8X) | | | O | 1 byte | | |
+| -Services
Contents: Service n°1: Local CSE-ID provisioning
Service n°2 IN-CSE-ID list provisioning
Service n°3 MAF FQDN provisioning
Service n°4 Local M2M AE-ID list provisioning
Service n°5 Bootstrapping: MEF address provisioning
Service n°6 M2M-Node-ID information
Service n°7 GBA Secure Provisioning (see note)
Service n°8 GBA Secure Connection (see note) | | | | | | | |
+| NOTE – Services n°7 and 8 can only be available in a oneM2M Service Table located in a DF 1M2M hosted in the ADF of the Network Access Application from which the M2M Service Layer credentials are expected to be derived. | | | | | | | |
+
+The EF shall contain at least one byte. Further bytes may be included, but if the EF includes an optional byte, then it is mandatory for the EF to also contain all bytes before that byte. Other services are possible in the future and will be coded on further bytes in the EF. Coding:
+
+- 1 bit is used to code each service:
+- bit = 1: service available;
+- bit = 0: service not available.
+
+Service available means that the M2M Service Subscription provisioned in the current DF or ADF has the capability to support the service and that the service is available for the user of the M2M service subscription.
+
+Service not available means that the service shall not be used by the M2M service subscription user, even if the M2M service subscription has the capability to support the service.
+
+First byte:
+
+
+
+| | | | | | | | |
+|----|----|----|----|----|----|----|-------------|
+| b8 | b7 | b6 | b5 | b4 | b3 | b2 | b1 |
+| | | | | | | | Service n°1 |
+| | | | | | | | Service n°2 |
+| | | | | | | | Service n°3 |
+| | | | | | | | Service n°4 |
+| | | | | | | | Service n°5 |
+| | | | | | | | Service n°6 |
+| | | | | | | | Service n°7 |
+| | | | | | | | Service n°8 |
+
+Diagram showing the bit fields of the first byte. The byte is divided into 8 bits: b8, b7, b6, b5, b4, b3, b2, b1. Lines connect these bits to labels on the right: b1 to Service n°1, b2 to Service n°2, b3 to Service n°3, b4 to Service n°4, b5 to Service n°5, b6 to Service n°6, b7 to Service n°7, and b8 to Service n°8.
+
+Second byte:
+
+
+
+| | | | | | | | |
+|----|----|----|----|----|----|----|--------------|
+| b8 | b7 | b6 | b5 | b4 | b3 | b2 | b1 |
+| | | | | | | | Service n°9 |
+| | | | | | | | Service n°10 |
+| | | | | | | | Service n°11 |
+| | | | | | | | Service n°12 |
+| | | | | | | | Service n°13 |
+| | | | | | | | Service n°14 |
+| | | | | | | | Service n°15 |
+| | | | | | | | Service n°16 |
+
+Diagram showing the bit fields of the second byte. The byte is divided into 8 bits: b8, b7, b6, b5, b4, b3, b2, b1. Lines connect these bits to labels on the right: b1 to Service n°9, b2 to Service n°10, b3 to Service n°11, b4 to Service n°12, b5 to Service n°13, b6 to Service n°14, b7 to Service n°15, and b8 to Service n°16.
+
+etc.
+
+**D.1.3.2 EF1M2MSID (oneM2M subscription identifier)**
+
+This EF contains the oneM2M subscription identifier, M2M-Sub-ID. There shall be only one TLV object within this EF.
+
+| | | | | |
+|--------------------------------------------------------------------------------|---------------------------------------------|------------------------|-----|-----------|
+| Identifier: '6F02' | | Structure: transparent | | Mandatory |
+| SFI: '02' | | | | |
+| File size: X bytes | | Update activity: low | | |
+| Access Conditions:
READ ALW
UPDATE ADM
DEACTIVATE ADM
ACTIVATE ADM | | | | |
+| Bytes | Description | | M/O | Length |
+| 1 | M2M Subscription Identifier TLV data object | | M | X bytes |
+
+The M2M subscription identifier value field shall contain the M2M-Sub-ID encoded as specified in [ITU-T Y.4500.4]. The tag value of the oneM2M subscription identifier TLV data object shall be '80'.
+
+### D.1.3.3 EF1M2MSPID (oneM2M service provider identifier)
+
+This EF contains the oneM2M Service Provider Identifier, M2M-SP-ID, of the M2M Service Provider related to the subscription in EF1M2MSID. There shall be only one TLV object within this EF.
+
+| | | |
+|--------------------------------------------------------------------------------|---------------------------|------------|
+| Identifier: '6F03' | Structure: transparent | Mandatory |
+| SFI: '03' | | |
+| File size: X bytes | Update activity: low | |
+| Access Conditions:
READ ALW
UPDATE ADM
DEACTIVATE ADM
ACTIVATE ADM | | |
+| Bytes | Description | M/O Length |
+| 1 | M2M-SP-ID TLV data object | M X bytes |
+
+The M2M-SP-ID Value field shall contain the M2M-SP-ID encoded as specified in [ITU-T Y.4500.4]. The tag value of the M2M-SP-ID TLV data object shall be '80'.
+
+### D.1.3.4 EFM2MNID (M2M node identifier)
+
+This EF contains the M2M-Node-ID supporting the local CSE. It may be used to logically bind a UICC to a specific M2M Node. If service n°6 is "available", this file shall be present. There shall be only one TLV object within this EF.
+
+| | | |
+|--------------------------------------------------------------------------------|------------------------|------------|
+| Identifier: '6F04' | Structure: transparent | Optional |
+| SFI: '04' | | |
+| File size: X bytes | Update activity: low | |
+| Access Conditions:
READ ALW
UPDATE ADM
DEACTIVATE ADM
ACTIVATE ADM | | |
+| Bytes | Description | M/O Length |
+| 1 to X | M2M-Node-ID TLV object | M X bytes |
+
+The M2M-Node-ID value field shall contain the M2M-Node-ID encoded as specified in [ITU-T Y.4500.4].
+
+### D.1.3.5 EFCSEID (local CSE Identifier)
+
+This EF contains the local CSE identifier, CSE-ID, for the M2M field node associated to the subscription in EF1M2MSID. If present, this file is used by the M2M field node to pre-provision the CSE-ID. If service n°1 is "available", this file shall be present. There shall be only one TLV object within this EF.
+
+| | | |
+|--------------------------------------------------------------------------------|------------------------|------------|
+| Identifier: '6F05' | Structure: transparent | Optional |
+| SFI: '05' | | |
+| File size: X bytes | Update activity: low | |
+| Access Conditions:
READ ALW
UPDATE ADM
DEACTIVATE ADM
ACTIVATE ADM | | |
+| Bytes | Description | M/O Length |
+| 1 | CSE-ID TLV data object | M X bytes |
+
+### CSE-ID TLV
+
+Contents:
+
+The CSE-ID Value field shall contain the local CSE-ID formatted as a URI.
+
+Coding:
+
+The URI shall be encoded to an octet string according to UTF-8 encoding rules as specified in [IETF RFC 3629]. The tag value of the URI TLV data object shall be '80'.
+
+#### D.1.3.6 EFM2MAE-ID (M2M application identifiers list)
+
+This EF contains the list of M2M Application Identifiers (AE-IDs) for the local M2M applications supported by the subscription in EFIM2MSID. If service n°4 is "available", this file shall be present.
+
+| | | |
+|--------------------------------------------------------------------------------|--------------------------|------------|
+| Identifier: '6F06' | Structure: Linear fixed | Optional |
+| SFI: '06' | | |
+| Record length: X bytes | Update activity: low | |
+| Access Conditions:
READ ALW
UPDATE ADM
DEACTIVATE ADM
ACTIVATE ADM | | |
+| Bytes | Description | M/O Length |
+| 1 to X | M2M AE-ID LV data object | M X bytes |
+
+#### M2M AE-ID LV
+
+Contents:
+
+The Value field shall contain the M2M AE-ID formatted as a URI.
+
+Coding:
+
+The URI shall be encoded to an octet string according to UTF-8 encoding rules as specified in [IETF RFC 3629].
+
+#### D.1.3.7 EFINCSEIDS (M2M IN-CSE IDs list)
+
+This EF contains a list of pre-provisioned IN-CSE-ID used to determine the next point of contact after provisioning or M2M service bootstrapping. If service n°2 is "available", this file shall be present.
+
+| | | |
+|--------------------------------------------------------------------------------|--------------------------|------------|
+| Identifier: '6F08' | Structure: Linear fixed | Optional |
+| Record length: X bytes | Update activity: low | |
+| Access Conditions:
READ ALW
UPDATE ADM
DEACTIVATE ADM
ACTIVATE ADM | | |
+| Bytes | Description | M/O Length |
+| 1 to X | IN-CSE-ID LV data object | M X bytes |
+
+#### IN-CSE-ID LV
+
+Contents:
+
+The value field shall contain the IN-CSE-ID formatted as a URI.
+
+Coding:
+
+The URI shall be encoded to an octet string according to UTF-8 encoding rules as specified in [IETF RFC 3629].
+
+#### D.1.3.8 EFMAFFQDN (MAF-FQDN)
+
+This EF is used to pre-provision the FQDN of the MAF to be used for M2M service connection after M2M service bootstrapping. If service n°3 is "available", this file shall be present. There shall be only one TLV object within this EF.
+
+| | | | | | | | |
+|--------------------------------------------------------------------------------|--------------------------|------------------------|--|----------------------|---------|--|--|
+| Identifier: '6F09' | | Structure: Transparent | | Optional | | | |
+| Length: X bytes | | | | Update activity: low | | | |
+| Access Conditions:
READ ALW
UPDATE ADM
DEACTIVATE ADM
ACTIVATE ADM | | | | | | | |
+| Bytes | Description | | | M/O | Length | | |
+| 1 | MAF FQDN TLV data object | | | M | X bytes | | |
+
+## MAF FQDN
+
+Contents:
+
+The FQDN address of the MAF.
+
+Coding:
+
+The MAF-FQDN shall be encoded to an octet string according to UTF-8 encoding rules as specified in [IETF RFC 3629]. The tag value of the MAF FQDN TLV data object shall be '80'.
+
+### D.1.3.9 EFMEFID (M2M enrolment function identifier)
+
+This EF contains one or more M2M enrolment function addresses. The first record in the EF shall be considered to be of the highest priority. The last record in the EF shall be considered to be the lowest priority. If service n°5 is "available", this file shall be present.
+
+| | | | | | | | |
+|--------------------------------------------------------------------------------|----------------------------|-------------------------|--|----------------------|---------|--|--|
+| Identifier: '6F07' | | Structure: linear fixed | | Optional | | | |
+| Record length: X bytes | | | | Update activity: low | | | |
+| Access Conditions:
READ ALW
UPDATE ADM
DEACTIVATE ADM
ACTIVATE ADM | | | | | | | |
+| Bytes | Description | | | M/O | Length | | |
+| 1 to X | MEF Address LV data object | | | M | X bytes | | |
+
+## MEF address LV data object
+
+Contents:
+
+Address of MEF, in the format of a FQDN, an IPv4 address, or an IPv6 address.
+
+Coding:
+
+The format of the data object is as follows:
+
+| Field | Length (bytes) |
+|--------------|----------------|
+| Length | 1 |
+| Address Type | 1 |
+| MEF Address | Address Length |
+
+Address Type: Type of the MEF address.
+
+This field shall be set to the type of the MEF address according to the following:
+
+| Value | Name |
+|-------------------------------|------|
+| 0x00 | FQDN |
+| 0x01 | IPv4 |
+| 0x02 | IPv6 |
+| All other values are reserved | |
+
+MEF address: Address of the M2M service bootstrap function.
+
+This field shall be set to the address of the M2M enrolment function. When the MEF type is set to 0x00, the corresponding MEF address shall be encoded to an octet string according to UTF-8 encoding rules as specified in [IETF RFC 3629].
+
+Unused bytes shall be set to 'FF'.
+
+## **D.2 oneM2M service module application for symmetric credentials on UICC (1M2MSM)**
+
+### **D.2.0 Introduction**
+
+This clause defines the oneM2M service module (1M2MSM), an application used for oneM2M service layer security functionalities and subscription provisioning based on symmetric credentials. This application resides on the UICC, an IC card specified in [ETSI TS 102 221]. In particular, [ETSI TS 102 221] specifies the application independent properties of the UICC/terminal interface such as the physical characteristics and the logical structure. There may be several 1M2MSM ADFs on a single UICC, corresponding to independent oneM2M service subscriptions.
+
+### **D.2.1 oneM2M service module application file structure**
+
+This clause specifies the EFs for the oneM2M service layer defining access conditions, data items and coding. A data item is a part of an EF which represents a complete logical entity.
+
+#### **D.2.1.1 Content of UICC files at the master file (MF) level**
+
+Files at the UICC MF level are application independent as specified in [ETSI TS 102 221]. Only the EFDIR and EFICCID files are mandatory on UICC for the purpose of 1M2MSM applications. In any case all files shall be as specified in [ETSI TS 102 221].
+
+#### **D.2.1.2 Content of files at the 1M2MSM ADF (application DF) level**
+
+The EFs in the 1M2MSM ADF contain oneM2M subscription related information that is required for M2M field nodes operating in an oneM2M environment. This ADF shall be selected using its AID and information in EFDIR. The AID for 1M2MSM applications shall be constructed as specified in [ETSI TS 101 220].
+
+NOTE – The ETSI RID can be used for oneM2M pending assignment of a oneM2M dedicated RID in [b-ISO/IEC 7816-5].
+
+The File IDs '6F1X' (for EFs), '5F1X' and '5F2X' (for DFs) with X ranging from '0' to 'F' are reserved under the 1M2MSM ADF for administrative use by the card issuer.
+
+The DF1M2M substructure used to isolate the provisioning of network access dependent M2M service related information in a network access application ADF is not needed for access network independent provisioning of an M2M service subscription in a 1M2MSM ADF. Therefore, all the EFs specified in clause D.1.3 shall be present at the 1M2MSM ADF level. The file structure of the ADF1M2MSM is illustrated in Figure D.2.
+
+
+
+```
+
+graph TD
+ ADF1M2MSM[ADF1M2MSM] --> EF1M2MST["EF1M2MST
+'6F0A'"]
+ ADF1M2MSM --> EF1M2MSID["EF1M2MSID
+'6F02'"]
+ ADF1M2MSM --> EF1M2MSPID["EF1M2MSPID
+'6F03'"]
+ ADF1M2MSM --> EF1M2MNID["EF1M2MNID
+'6F04'"]
+ ADF1M2MSM --> EFCSEID["EFCSEID
+'6F05'"]
+ ADF1M2MSM --> EF1M2MAEID["EF1M2MAEID
+'6F06'"]
+ ADF1M2MSM --> EF1M2NCSEIDS["EF1M2NCSEIDS
+'6F08'"]
+ ADF1M2MSM --> EF1M2MAFFQDN["EF1M2MAFFQDN
+'6F09'"]
+ ADF1M2MSM --> EF1M2MEFID["EF1M2MEFID
+'6F07'"]
+
+```
+
+Figure D.2 – File identifiers and directory structures of ADF1M2MSM. The diagram shows a hierarchical structure starting with ADF1M2MSM at the top. It branches into two main levels. The first level contains four boxes: EF1M2MST '6F0A', EF1M2MSID '6F02', EF1M2MSPID '6F03', and EF1M2MNID '6F04'. The second level contains four boxes: EFCSEID '6F05', EF1M2MAEID '6F06', EF1M2NCSEIDS '6F08', and EF1M2MAFFQDN '6F09'. A third level contains one box: EF1M2MEFID '6F07'.
+
+**Figure D.2 – File identifiers and directory structures of ADF1M2MSM**
+
+## **D.2.2 oneM2M subscription related procedures for M2M service**
+
+### **D.2.2.0 Introduction**
+
+This clause specifies the procedures that shall be executed by M2M field nodes to interact with a oneM2M service subscription on UICC. They are applicable independently of the file structure supporting the oneM2M service subscription (1M2MSM ADF or DF1M2M under a network access application ADF), unless otherwise indicated.
+
+#### **D.2.2.1 Initialization – 1M2MSM application selection**
+
+This procedure only applies to an M2M subscription supported in a 1M2MSM ADF.
+
+If the M2M field node wants to engage in M2M operation, then after UICC activation (see [ETSI TS 102 221]), the M2M field node shall select a 1M2MSM application, if a 1M2MSM application is listed in the EFDIR file, using the SELECT by DF name as defined in [ETSI TS 102 221].
+
+After a successful oneM2M application selection, the selected oneM2M AID is stored on the UICC. This application is referred to as the last selected 1M2MSM application. The last selected 1M2MSM application shall be available on the UICC after a deactivation followed by an activation of the UICC.
+
+If a oneM2M application is selected using partial DF name, the partial DF name supplied in the command shall uniquely identify a 1M2MSM application. Furthermore, if a 1M2M application is selected using a partial DF name as specified in [ETSI TS 102 221] indicating in the SELECT command the last occurrence, the UICC shall select the oneM2M application stored as the last oneM2M application. If, in the SELECT command, the options first, next/previous are indicated, they have no meaning if an application has not been previously selected in the same session and shall return an appropriate error code.
+
+#### **D.2.2.2 1M2MSM session termination**
+
+This procedure only applies to a oneM2M subscription supported in a 1M2MSM ADF.
+
+The oneM2M UICC session is terminated by the M2M field node as follows:
+
+The M2M field node shall indicate to the oneM2M UICC application that the termination procedure is starting, by sending a particular STATUS command.
+
+Finally, the M2M field node deletes all the M2M subscription related information elements from its memory.
+
+To actually terminate the session, the M2M field node shall then use one of the mechanisms described in [ETSI TS 102 221].
+
+#### **D.2.2.3 oneM2M service discovery procedure**
+
+This procedure is used to discover the oneM2M related services offered by a oneM2M UICC.
+
+The M2M field node shall perform the reading procedure with EF1M2MST. If no oneM2M related service is indicated as available, the M2M field node shall assume that only the provisioning of mandatory parameters is available in this ADF.
+
+#### **D.2.2.4 oneM2M service provisioning procedures**
+
+These procedures are used by an M2M field node in order to bootstrap an M2M service subscription provisioned on the UICC.
+
+The M2M field node shall perform the reading procedure with EF1M2MSID and EF1M2MSPID, and EFCSEID, EFM2MNID, EFINCSEID, EFMAFFQDN according to available services indicated in EF1M2MST.
+
+#### **D.2.2.5 oneM2M application identifiers provisioning procedure**
+
+This procedure provisions a list of M2M application identifiers that may be enabled on the M2M node in relation with the oneM2M service subscription.
+
+Condition: Service number 4 shall be available in the oneM2M service table.
+
+Under this condition, the M2M field node shall perform the reading procedure with EFM2MAEID.
+
+#### **D.2.2.6 oneM2M secure provisioning related procedures**
+
+These procedures are used by the M2M field node to perform M2M secure provisioning with the assistance of the UICC, depending on available services in EF1M2MST and the supported AUTHENTICATE commands contexts (e.g., GBA support by a network access application) indicated for the hosting ADF.
+
+Secure provisioning: MEF address provisioning:
+
+Condition: Service number 5 shall be available in the oneM2M service table.
+
+Under this condition, the M2M field node shall perform the reading procedure with EFMEFID, if the related service is available.
+
+GBA secure provisioning:
+
+This procedure is dependent on the authentication framework supported by the UICC and indicated in the service table of the hosting ADF.
+
+After identifying the supported authentication framework, the M2M field node shall check availability of Service number 7 in EF1M2MST. If the service is available, the D/G M2M node shall perform GBA-related procedures with AUTHENTICATE – GBA security context (Bootstrapping mode and derivation mode) with the parameters for GBA secure provisioning.
+
+#### **D.2.2.7 oneM2M security association related procedures**
+
+GBA secure connection:
+
+This procedure is dependent on the authentication framework supported by the UICC and indicated in the service table of the hosting ADF.
+
+After identifying the supported authentication framework, the M2M field node shall check availability of service number 12 in EF1M2MST: If the service is available, the M2M field node shall perform a GBA-related procedures with AUTHENTICATE – GBA security context (bootstrapping mode and derivation Mode) with the parameters for GBA security association.
+
+## **Annex E**
+
+### **Blank annex**
+
+This annex is intentionally left blank.
+
+## Annex F
+
+### Acquisition of location information for location based access control
+
+(This annex forms an integral part of this Recommendation.)
+
+#### F.0 Introduction
+
+When a request (resource access) is evaluated by a hosting CSE and an accessControlLocationRegions parameter is defined in the privileges attribute of the resources, the hosting CSE shall check whether the location of the Originator of a request is in the specified regions or not. Therefore, the hosting CSE shall retain the location of the Originator, or acquire the location or deny the access. This annex indicates how to describe the location regions and obtain the location of the Originator.
+
+#### F.1 Description of region
+
+##### F.1.1 Circular description
+
+The practical way of describing the region or area is the circular presentation and generally the circle is characterized by the co-ordinates of a centre point of the circle and a radius. Geographically, the centre point and radius is described as longitude and latitude, and meter respectively. For this description, the accessControlLocationRegions parameter shall be represented as a circle as shown in Figure F.1.
+
+
+
+The diagram shows a circle with a center point. A line segment connects the center point to the circumference, labeled 'Radius'. The center point is labeled '(longitude, latitude)'. The reference 'Y.4500.3(23)' is located at the bottom right of the circle.
+
+Diagram of a circle representing a region. A center point is marked with a dot and labeled '(longitude, latitude)'. A line segment from the center to the circumference is labeled 'Radius'. The diagram is identified by the reference 'Y.4500.3(23)' at the bottom right.
+
+**Figure F.1 – Circular representation of the accessControlLocationRegions parameter**
+
+##### F.1.2 Country description
+
+If a country description is used, it shall be an ISO-3166-1 alpha 2 code as defined by [b-ISO 3166-1]. These codes are two-letter codes used to represent countries and special regions of geographical interest. For example, KR is a code for Korea, Republic of.
+
+NOTE – [b-ISO 3166-1] states "User-assigned code elements are codes at the disposal of users who need to add further names of countries, territories, or other geographical entities to their in-house application of ISO 3166-1, and the ISO 3166/MA will never use these codes in the updating process of the standard." The following codes can be user-assigned:
+
+Alpha-2: AA, QM to QZ, XA to XZ, and ZZ
+
+Alpha-3: AAA to AAZ, QMA to QZZ, XAA to XZZ, and ZZA to ZZZ
+
+Numeric: 900 to 999
+
+OneM2M will not prevent users from making use of the feature of user-defined codes but will not maintain a register of these user assigned codes so there is a risk of duplication in implementations leading to inconsistent operation to inter-operation challenges between implementations.
+
+## F.2 Acquisition of location information
+
+### F.2.0 Introduction
+
+As mentioned above, when `accessControlLocationRegions` parameter is defined, the hosting CSE shall check the location of the Originator for access control. This clause describes how the hosting CSE checks or obtains the location. The procedures may vary based on the region description, circle and country.
+
+#### F.2.1 Circular description
+
+If the circular description is used as the location context constraints, the hosting CSE shall check whether it has the current location of Originator or not. If not, it shall obtain the location of Originator. [ITU-T Y.4500.1] defines a resource type for acquisition of location of a target Node, ``. Therefore, in order to obtain the location of Originator, the Hosting CSE shall create `` and set the relevant attributes as follows:
+
+**locationSource:** Reliability of the location information is crucial so the location shall be obtained from trusted network. If the location is obtained by the other sources, the location information can be easily masqueraded (i.e., GPS spoofing). Therefore, the `locationSource` attribute shall be set to 'network-based'.
+
+**locationTargetID:** The target Node shall be the Originator that needs to authorize the sent requests. The `locationTargetID` attribute shall be set to identifier of the Originator.
+
+Note that the other attributes are determined by local policies of Hosting CSE as described in clause 9.6.9 of [ITU-T Y.4500.1]. In order to obtain the location from the network, the Hosting CSE shall transform the oneM2M specified location request into network specified request.
+
+NOTE 1 – [ITU-T Y.4500.4] describes how to convert the oneM2M-specified request to 'OMA RESTful NetAPI for Terminal Location' specified request, in Annex F.
+
+Since the region information (circular description) is defined by the `accessControlLocationRegions` parameter, the hosting CSE can utilize the circular region information when it requests the location information from the network. OMA RESTful NetAPI for terminal location specification [b-OMA REST] specifies resource types as an area (region)-based location notification service, 'CircleNotificationSubscription'. If therefore the hosting CSE subscribes to the notification service with circular region defined as `accessControlLocationRegions` parameter, the Hosting CSE can always determine whether the Originator is in the regions or not. Figure F.2 demonstrates how to acquire the location of the Originator when the `accessControlLocationRegions` parameter is defined.
+
+
+
+```
+
+sequenceDiagram
+ participant O as Originator (AE/CSE)
+ participant H as Hosting CSE (CSE)
+ participant L as Location server (NSE)
+
+ O-->>H: Mca/Mcc (oneM2M)
+ H-->>L: Mcn (e.g., OMANetAPI)
+
+ O->>H: 1. Resource Access (Request)
+ H->>H: 2. Access is evaluated based on the linked
+ H->>H: 3. Create
+ H->>L: 4. Subscription(s) to a new Area Location Notification
+ L->>L: 5. Originator's Location Acquisition (Immediate and Periodic)
+ L->>H: 6. Response with an Immediate Location Information
+ H->>O: 7. Response
+
+ Note over O,H,L: The Originator enters or leaves the defined area
+
+ L->>H: 8. Location Information with Enter or Leave
+ H->>L: 9. Response
+
+```
+
+Y.4500.3(23)
+
+Sequence diagram showing the interaction between Originator (AE/CSE), Hosting CSE (CSE), and Location server (NSE) for location-based access control. The process starts with a resource access request from the Originator to the Hosting CSE. The Hosting CSE evaluates the request against an access control policy and creates a location policy. It then subscribes to location notifications from the Location server. The Location server acquires the Originator's location and responds with immediate location information. The Originator's location is then used to evaluate the request, and a response is sent back to the Originator. A dashed box indicates the Originator entering or leaving the defined area, which triggers a new location information response from the Location server to the Hosting CSE, followed by a response from the Hosting CSE to the Location server.
+
+**Figure F.2 – Location of the Originator when the `accessControlLocationRegions` parameter is defined**
+
+1. The Originator sends a request to access a resource.
+2. The Hosting CSE shall evaluate the received request against the linked `` resource. If one of the rule tuples that is about the request originator contains the `accessControlLocationRegions` parameter (circular description) and the Hosting CSE does not store the location of the Originator, the Hosting CSE shall either continue to the next step or deny the access. If the Hosting CSE has the location of the Originator, it is used for applying access control policy.
+The Hosting CSE may deny the access due to the fact that the Originator is not subscriber of the network or any other reasons (e.g., connection lost, server malfunction).
+3. The Hosting CSE shall create the `` resource and set relevant attributes as mentioned above.
+4. The Hosting CSE shall subscribe to a new area location notification service toward Location Server in the Network. The area information shall be based on the area defined by the `accessControlLocationRegions` parameters. If multiple regions are defined, multiple subscriptions shall be set.
+5. The Location Server immediately obtains the location of the Originator.
+NOTE 2 – After the immediate location acquisition, the Location Server periodically obtains the location of the Originator to check whether the Originator is in the area or not. The frequency and duration can be defined by local policies.
+6. The Location Server responds with the immediate location information of the Originator toward Hosting CSE.
+7. Based on the received location of the Originator and other access control policies, the request is evaluated and can be either granted or denied. The Hosting CSE responds regarding the request (step 1).
+
+8. When the Originator crosses in (enter) or out of (leave) the area, the Location Server shall notify of the Hosting CSE of the location change. Thus, the Hosting CSE can keep track of the location of the Originator and easily evaluate the access against location context constraint.
+
+9. The Hosting CSE responds to the notification.
+
+### **F.2.2 Country description**
+
+Generally, the Originator's country-scale location can be determined by the Originator's IP address. If the hosting CSE can distinguish the country using the Originator's IP address and it is also matched with the defined `accessControlLocationRegions` parameter, the hosting CSE may grant the request subject to evaluation of the full access control policies.
+
+NOTE 1 – How to transform the IP address into country is out of scope.
+
+However, if hosting CSE cannot distinguish the country using the Originator's IP address, the hosting CSE shall obtain the location coordinate (i.e., longitude and latitude) of the Originator from the network and the hosting CSE can distinguish the country using the location if available. The way of obtaining the location coordinate is defined in Annex F of [ITU-T Y.4500.4].
+
+NOTE 2 – How to transform the location into country is out of scope.
+
+## **Annex G**
+
+### **Blank annex**
+
+*This annex is intentionally left blank.*
+
+## **Annex H**
+
+### **Blank annex**
+
+*This annex is intentionally left blank.*
+
+## **Annex I**
+
+### **Blank annex**
+
+This annex is intentionally left blank.
+
+## Annex J
+
+### List of privacy attributes
+
+(This annex forms an integral part of this Recommendation.)
+
+See Table J.1.
+
+**Table J.1 – Privacy attributes**
+
+| Tag ID | Tag Name | Value | Parameter | Tag description (short form) | full Tag description | Notes |
+|--------|----------|---------------------|-----------------------|---------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------|
+| 1.0 | Who | Null | Null | Name of party | The trading name of the device or service provider asking for access to the users' smart devices/network/data | |
+| | | variable | Txt | company name | The name of the company that is requesting access to the user's smart devices and specifying their terms | |
+| | | Variable two-letter | Country code | Location | The country where the device or service provider is located | |
+| | | variable | Txt | Company Registration number | Company Registration number which can be used as an aid to check the authenticity of the company.
Country authorities for different countries can be used as an aid to check the authenticity of the company asking to use the data and how much trust to place in it | |
+| 1.1 | ID | | | | Options for how applications and devices are uniquely identified | |
+| | | | Txt | Model number | These are the mobile number(s) of the device(s) if included in the ASP's service | |
+| | | | Txt | Version | These are the version number(s) of the device(s) if included in the ASP's service | |
+| | | | oneM2M Defined format | Registered App ID | These are the Registered App ID of the apps if included in the ASP's service | |
+| | | | Country codes | Country codes where approval has been granted if needed | Device or app accreditation may only be valid in certain countries | |
+| 2.0 | What | | | Data Classification Type | What is the type of data that the device/service will access? With the higher the value the more sensitive the data are | |
+
+**Table J.1 – Privacy attributes**
+
+| Tag ID | Tag Name | Value | Parameter | Tag description (short form) | full Tag description | Notes |
+|--------|----------|-------------------------|-----------|------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------|
+| | | No data collected | Yes/No | No data collected | the device does not collect any data, this could be output device, such as a light switch, that only receives instructions | |
+| | | Non personal data | Yes/No | Data not linked to a person | The data cannot be linked to a person, this could be applicable if the device was a door sensor that can only report when it was opened or closed | |
+| | | Anonymized data | Yes/No | Data are collected about a person but anonymized | Data are collected about a person but anonymized to remove or summarize any data that would allow an individual to the identified/profiled | |
+| | | Personal data | Yes/No | Data that can be directly linked to an identify | The data gather can be linked to an identifier that is unique to an individual or small group (e.g., family members in the same home) | |
+| | | Sensitive personal data | Yes/No | Data that can be linked to identify, of a more sensitive nature. | The EU DPA defines certain types of sensitive person data. Additional types such as banking should also be considered to see if they fall within this area | |
+| | | Medical data | Yes/No | Data related to an individual's health/fitness, etc. | Data about illnesses, treatments or general wellbeing | |
+| 3.0 | When | Null | null | When the data are collected | How often data are sent | |
+| | | Data not collected. | Yes/No | No data collected | The device/service does not collect data, e.g., an end device such as a light | |
+| | | Event based | Yes/No | Triggered by an event | Device only gathers data when triggered, such as a door sensor triggering a camera | |
+| | | Variable Monthly | 1 to 12 | Data are sent monthly | The device/services only gathers the data as a monthly transfer. For example, a smart fridge, sending a routine operational status report | |
+| | | Weekly | Yes/No | Data are sent weekly | The device/service only gathers the data as a weekly transfer. For example, a diagnostic status report from your fire detection system, including sensor test results, predicted remaining battery life | |
+| | | Daily | Yes/No | Data are sent daily | The device/service only gathers the data on a daily transfer. For example, a smart fridge sending the items that have run out as a Grocery list to the users preferred retailer so the retailer can short list them for inclusion in the users shopping basket | |
+
+**Table J.1 – Privacy attributes**
+
+| Tag ID | Tag Name | Value | Parameter | Tag description (short form) | full Tag description | Notes |
+|--------|----------------|------------------------|-----------|--------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------|
+| | | hourly | 1 to 24 | Data are sent every X hours | The device/service only gathers the data on an hourly transfer. For example, a house alarm reporting it is armed and all sensors have reported they are active. So, user alarm app/alarm monitoring service knows that system is still operational and someone has not been able to disable the alarm ability to send an alert | |
+| | | minutes | 1 to 60 | Data are sent every X minutes | The device/service only gathers the data every 15th minutes. For example, smart meters reporting back their usage figures | |
+| | | Real time-triggered | Yes/No | The data are sent continuously then triggered. | The data are sent in real time, when a specific event triggers it. E.g., The house alarm reports an internal door opening while alarm it set, this triggers the streaming of security cameras | |
+| | | Real time-full | Yes/No | The data are sent continuously at all times | The data are sent in real time for the duration of the device being active. For example, CCTV data being sent to offsite storage | |
+| 3.1 | Time period | Null | | time period of data. | When data are sent, does it cover a time period | |
+| | | Data not collected. | Yes/No | No data collected. | The device/service does not collect data, e.g., an end device such as a light | |
+| | | summary/current status | Yes/No | The device sends its current status | The Device sends the current status data, with no history, e.g., the current status of a door sensor (open/closed) and not the log of when the door was opened and closed | |
+| | | Sample | Yes/No | The data covers a short period of time. | The data covers a sample of data from a short period of time, such a periodic sampling of heart rhythm being sampled several times a day | |
+| | | full history | Yes/No | The full data captured by the device is provided | The full data captured by the device is provided, either sent in real time (3.0) or history uploaded retrospectively | |
+| 3.2 | Sample rate | Null | | the time period between data sampling | How long in seconds between samples been taken | |
+| | | Data not collected. | Yes/No | No data collected | The device/service does not collect data, e.g., an end device such as a light | |
+| | | Variable | | value is seconds between data capture points | How long between readings that the device takes measured in seconds | |
+| | | Streamed data | Yes/No | Data are captured continuously | Data are captured continuously, such as a smart security camera able to stream the feed to the user | |
+| 4.0 | Where - stored | Null | | Where the data are stored | Were the data created by the device or used by the service is stored | |
+
+**Table J.1 – Privacy attributes**
+
+| Tag ID | Tag Name | Value | Parameter | Tag description (short form) | full Tag description | Notes |
+|--------|-------------------|----------------------|-----------|------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| | | Data not collected. | Yes/No | No data collected | The device/service does not collect data, e.g., an end device such as a light | |
+| | | Local | Yes/No | The data are only stored locally | The data are stored within the network of smart devices (e.g., within the home) | |
+| | | variable | | Country /bloc | The country where the data stored, or if part of a wider framework (such as the EU) | |
+| 4.1 | Where - collected | | | Where the data are collected from. | Where the data are collected from -note this may be redundant for consumer, but could be used for external feeds such as weather reports. May also be relevant to services so they can state the tries of devices they will pull data from, as they may not want access to all smart devices in the location | |
+| | | Data not collected. | Yes/No | No data collected | The device/service does not collect data, e.g., an end device such as a light | |
+| | | Device | Yes/No | Data are collected just the specific device covered by T&C | The terms & conditions (also well as users privacy settings) are only be evaluated against the data collected by the specific device | |
+| | | Smart device network | Yes/No | Data are collected from all devices on the users network | The data are collected from all the devices* that form the users smart device network | |
+| | | variable | | External feed | Data comes from an external feed, and is combined with data gather. E.g., Weather forecasts combined with users building utilization patens to predict, then to turn heating up so the building is at the desired temperature when the user arrives | This would be descriptive, and the user would have two options. Disable or substitute (e.g., they have their own compatible weather station, instead of getting a feed from the meteorological office |
+| 4.2 | Where - Processed | Null | | Where is the data processed | Where (physical location) the data are processed. This may be different from the storage location | |
+| | | Data not collected. | Yes/No | No data collected | The device/service does not collect data, e.g., an end device such as a light | |
+| | | Local | Yes/No | The data are only processed locally | The data in only processed on the device, or with the user's network of smart devices | |
+| | | Variable | | Country /bloc | The country ere the data stored, or if part of a wider framework (such as the EU) | |
+| 4.3 | Where - Accessed | Hull | | Where the data are accessible from | Where the supplier/vendor/ Policy Precedence restrictions allow the data stored to be accessed from | |
+| | | No data collected | Yes/No | No data collected | The device/service does not collect data, e.g., an end device such as a light | |
+
+**Table J.1 – Privacy attributes**
+
+| Tag ID | Tag Name | Value | Parameter | Tag description (short form) | full Tag description | Notes |
+|--------|------------------------|---------------------|-----------|-----------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------|
+| | | Local | Yes/No | The data are only processed locally | The data are only processed on the device, or with the user's network of smart devices | |
+| | | Variable | | Country /bloc | The country where the data are stored, or if part of a wider framework (such as the EU) | |
+| 5.0 | Why | Null | | | The prime reason why personal data are being collected and to allow any change of use to be notified to the user | |
+| | | Yes/No | Yes/No | For Direct Delivery of the service | The ASP collects information for the direct delivery of the service | E.g., using location for paging from a base station that the user is currently registered at |
+| | | Yes/No | Yes/No | To improve ASP's and their partners products and services | The ASP collects information to improve ASP's and their partners products and services | |
+| | | Yes/No | Yes/No | To personalize services | The ASP collects information to personalize ASP's and their partners products and services | "our customers that selected this also selected these" |
+| | | Yes/No | Yes/No | A Policy Precedence - requirement | The ASP collects information to meet a Policy Precedence -requirement | E.g., Minimum age of intended user used to determine access to resources |
+| 6.0 | Retention | Null | | How long is data retained | How long the data (defined above) is kept in its current level of detail | |
+| | | Data not collected. | Yes/No | No data collected | The device/service does not collect data, e.g., an end device such as a light | |
+| | | Zero retention | Yes/No | Zero data retention | After processing data, its immediately deleted | |
+| | | Minutes | 1 to 60 | Data are kept for X minutes | Data are kept for 15 minutes before being deleted. E.g., the device only holds the last set of readings and collects new ones every 15 minutes | |
+| | | Hour | 1 to 24 | Data are kept for X hours | Data are kept for X hours | |
+| | | Day | 1 to 7 | Data are kept for X days | | |
+| | | week | 1 to 4 | Data are kept for X weeks | | |
+| | | Month | 1 to 12 | Data are kept for X months | | |
+| | | Year | 1 to 10 | Data are kept for X years | | |
+| | | forever | | The data will be kept for ever | The data will be stored without a defined retention/deletion policy | |
+| 6.1 | retention - anonymized | Null | | how long anonymized data are kept | How long any anonymized or other derived data that is not directly linked to a unique identify is kept. E.g., stats on power usage by geo location | |
+| | | Zero retention | Yes/No | Zero data retention | After processing data, its immediately deleted | |
+
+**Table J.1 – Privacy attributes**
+
+| Tag ID | Tag Name | Value | Parameter | Tag description (short form) | full Tag description | Notes |
+|--------|---------------------|-------------------------|---------------------|-------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|
+| | | Minutes | 1 to 60 | Data are kept for X minutes | Data are kept for 15 minutes before being deleted. E.g., the device only holds the last set of readings and collects new ones every 15 minutes | |
+| | | hour | 1 to 24 | Data are kept for X hours | Data are kept for X hours | |
+| | | Day | 1 to 7 | data are kept for X days | | |
+| | | week | 1 to 4 | Data are kept for X weeks | | |
+| | | Month | 1 to 12 | Data are kept for X months | | |
+| | | Year | 1 to 10 | data are kept for X years | | |
+| | | forever | | The data will be kept for ever | The data will be stored without a defined retention/deletion policy | |
+| 6.2 | retention - summary | Null | | how long summary data are kept | How long summary data are kept, e.g., how much total power was used per month based on meter readings taken every 15 minutes | |
+| | | Zero retention | Yes/No | Zero data retention | After processing data, its immediately deleted | |
+| | | Minutes | 1 to 60 | Data are kept for X minutes | Data are kept for 15 minutes before being deleted. E.g., the device only holds the last set of readings and collects new ones every 15 minutes | |
+| | | hour | 1 to 24 | Data are kept for X hours | Data are kept for X hours | |
+| | | Day | 1 to 7 | Data are kept for X days | | |
+| | | week | 1 to 4 | Data are kept for X weeks | | |
+| | | Month | 1 to 12 | Data are kept for X months | | |
+| | | Year | 1 to 10 | data are kept for X years | | |
+| | | forever | | The data will be kept for ever | The data will be stored without a defined retention/deletion policy | |
+| 7.0 | Sharing -full | Null | | Who the full data are shared with. | Who outside the company has access to the full data by type | |
+| | | Data not sharerd. | Yes/No | Data are not shared outside the company | Data are not shared outside the company providing the device/service with not processing contracted out | |
+| | | Group | No/scope and reason | Data are only shared with companies in the same group | Data are only shared within other companies in the same group | |
+| | | Infrastructure provider | Yes/No | Data are stored on third-party infrastructure | The data are stored on a separate company's servers, e.g., the company providing the device/service uses a cloud provider for storage or processing | Note: the answers for where reflect the third party as well as the company offering the service/device. |
+| | | Subcontractor | Yes/No | Data are shared with subcontractor(s) | Data are shared with one or more subcontractors who provide part of the service | Note: the answers about location, etc., reflect all subcontractors used. |
+
+**Table J.1 – Privacy attributes**
+
+| Tag ID | Tag Name | Value | Parameter | Tag description (short form) | full Tag description | Notes |
+|--------|----------------------|-----------------------------------------------|--------------------------|-------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------|
+| | | Other contracted parties' ancillary functions | No/scope and reason | Data are shared with other parties under contract | Data are shared with other parties under contract that provide additional (non-core) functions to use/operation of device. Such as providing newsletters, marketing offers, etc. Local warranty repair places, etc. | |
+| | | Affiliate | No/scope and reason | Data are shared with other private entities | Data are shared with other parties who have no direct or indirect involvement in the device/service. E.g., device suppliers sharing data with channel partners so they can target campaigns | |
+| | | Public bodies | No/scope, reason, bodies | Data are shared with key public bodies | Data are shared then certain conditions with certain bodies. E.g., on triggering of an alarm, data for your security devices is shared with police so they can respond in a suitable fashion. Or if a medical alarm goes off the ambulance service/hospital, etc., are sent details so they can respond | |
+| 7.1 | Sharing - anonymized | Null | | Who the data are shared with. | Who outside the company has access to anonymized data by type of user | |
+| | | Data not shared. | Yes/No | Data are not shared outside the company | Data are not shared outside the company providing the device/service with no processing contracted out | |
+| | | Group | No/scope and reason | Data are only shared with companies in the same group | Data are only shared within other companies in the same group | |
+| | | Infrastructure provider | Yes/No | Data are stored on third-party infrastructure | The data are stored on a separate company's servers. E.g., the company providing the device/service uses a cloud provider for storage or processing | |
+| | | Subcontractor | Yes/No | Data are shared with subcontractor(s) | Data are shared with one or more subcontractors who provide part of the service | |
+| | | Other contracted parties' ancillary functions | No/scope and reason | Data are shared with other parties under contract | Data are shared with other parties under contract that provide additional (non-core) functions to use/operation of device. Such as providing newsletters, marketing offers, etc. Local warranty repair places, etc. | |
+| | | Affiliate | No/scope and reason | Data are shared with other private entities | Data are shared with other parties who have no direct or indirect involvement in the device/service. E.g., device suppliers sharing data with channel partners so they can target campaigns | |
+
+**Table J.1 – Privacy attributes**
+
+| Tag ID | Tag Name | Value | Parameter | Tag description (short form) | full Tag description | Notes |
+|--------|-----------------|-----------------------------------------------|----------------------------------------|-------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------|
+| | | Public bodies | No/scope, reason, bodies | Data are shared with key public bodies | Data are shared then certain conditions with certain bodies. E.g., on triggering of an alarm, data for your security devices is shared with police so they can respond in a suitable fashion. Or if a medical alarm goes off the ambulance service/hospital, etc., are sent details so they can respond | |
+| 7.2 | Sharing summary | - Null | | Who the data are shared with. | Who outside the company has access to summary data by type of user | |
+| | | Data not shared. | Yes/No | Data are not shared outside the company | Data are not shared outside the company providing the device/service with no processing contracted out | |
+| | | Group | No/scope and reason | Data are only shared with companies in the same group | Data are only shared within other companies in the same group | |
+| | | Infrastructure provider | Yes/No | Data are stored on third-party infrastructure | The data are stored on a separate company's servers. E.g., the company providing the device/service uses a cloud provider for storage or processing | |
+| | | Subcontractor | Yes/No | Data are shared with subcontractor(s) | Data are shared with one or more subcontractors who provide part of the service | |
+| | | Other contracted parties' ancillary functions | No/scope and reason | Data are shared with other parties under contract | Data are shared with other parties under contract that provide additional (non-core) functions to use/operation of device. Such as providing newsletters, marketing offers, etc. Local warranty repair places, etc. | |
+| | | Affiliate | No/scope and reason | Data are shared with other private entities | Data are shared with other parties who have no direct or indirect involvement in the device/service. E.g., device suppliers sharing data with channel partners so they can target campaigns | |
+| | | Public bodies | No/scope, reason, bodies | Data are shared with key public bodies | Data are shared then certain conditions with certain bodies. E.g., local councils gathering average water usage by geo-location | |
+| 8.0 | informing | Null | | | | |
+| | | Y/N | Y/N | T&Cs sent to email address registered by the end user | The device vendor application providers send their tag values in this table to an email address registered by the end user | |
+| | | URL | ACME.com/English/device type/model/T&C | T&Cs by displayed URL | The device vendor application providers make their tag values in this table available at a URL | Could be automatically processed by the PPM portal |
+| | | URL | ACME.com/English/device type/model/T&C | T&Cs by URL stored in device | The device vendor application providers make their tag values in this table available at a URL stored in the device | Could be automatically processed by the PPM portal and or device |
+
+**Table J.1 – Privacy attributes**
+
+| Tag ID | Tag Name | Value | Parameter | Tag description (short form) | full Tag description | Notes |
+|--------|-------------------|--------------------------|-----------|---------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------|
+| | | Y/N | Y/N | T&Cs on local Screen
(if present ) | The device vendor application providers make their tag values in this table available on the device screen (if present) | |
+| | | Y/N | Y/N | On remote screen associated with user | The device vendor application providers make their tag values in this table available on remote screen associated with user | |
+| | | Y/N | Y/N | By post | The device vendor application providers send their tag values in this table to an postal address registered by the end user | |
+| | | Y/N | Y/N | SMS (txt) | The device vendor application providers send their tag values in this table to an SMS number registered by the end user | |
+| 9.0 | Obtaining consent | Null | | | | |
+| | | | Y/N | Consent by In app default | User has to accept default by a single click in the app | |
+| | | | Y/N | Consent by End user signed document | Summary XML signed with end users private key, e.g., digital signature | |
+| | | | Y/N | Consent by oneM2M recommended method | A oneM2M recommended method {TBA} | If this is defined in the future |
+| 10.0 | Protection | Null | | | Five levels to describe how well that the end user privacy and security is protected are defined. Level 1 is the lowest and Level 5 the highest. Each of these levels provides requirements expected for a claim at that level | These levels align with those already proposed by oneM2M WG4 |
+| | | Protection level claimed | 1 | Protection level claimed = 1 | Level 1: lowest level with minimal claims that the end user privacy and security is protected. This level is used when minimum risk is associated with a breach of end user security and privacy | |
+| | | Protection level claimed | 2 | Protection level claimed = 2 | Level 2: provides some level of confidence that the end user privacy and security is protected. Entities prove, through a secure authentication protocol, that the entity has control of the sensitive data/credentials. Controls are in place to protect against attacks on stored sensitive data/credentials | |
+
+**Table J.1 – Privacy attributes**
+
+| Tag ID | Tag Name | Value | Parameter | Tag description (short form) | full Tag description | Notes |
+|--------|----------|----------------------------------|-----------|------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------|
+| | | Protection level claimed | 3 | Protection level claimed = 3 | Level 3: provides high confidence that the end user privacy and security is protected. This level is needed when substantial risk is associated with breach of end user security and privacy. Multi-factor authentication is used. Any sensitive data or information exchanged in authentication protocols is cryptographically protected in transit and at rest | |
+| | | Protection level claimed | 4 | Protection level claimed = 4 | Level 4: provides very high confidence that the end user privacy and security is protected. This level is used when high risk is associated with a breach of end user security and privacy. This level provides the highest level of end user security and privacy. In addition to Level 3 this level requires the usage of tamper resistant hardware devices for the storage of all sensitive data such as cryptographic keys | |
+| | | Protection level claimed | 5 | Protection level claimed = 5 | As level 4 but evidence of external accreditation/assurance available | May depend on work of oneM2M on device certification |
+| 11.0 | Age | Null | | | When relevant to privacy settings options for how the end users age can be determined, e.g., DOB age range, etc. | |
+| | | DD/MM/YYYY | | Date Of Birth | Claimed Date Of Birth of the end user to determine access to resources | |
+| | | Numeric value or range of values | | Minimum age of intended user | Minimum age of intended user used to determine access to resources | |
+| | | DD/MM/YYYY | | Maximum age of device (shelf life) | Maximum age of device (shelf life) used to determine access to resources | For devices with embedded batteries that have a shelf life or chemicals in medical devices, etc. |
+
+## Appendix I
+
+### Mapping of 3GPP GBA terminology
+
+(This appendix does not form an integral part of this Recommendation.)
+
+Table I.1 provides a mapping of terminology and abbreviations used in GBA according to 3GPP specification [ETSI TS 133 220] to corresponding oneM2M terminology and abbreviations as used within this Recommendation.
+
+**Table I.1 – Mapping of terminology and abbreviations used in GBA**
+
+| GBA entities, keys and processes | oneM2M Security Bootstrap entities, keys & processes |
+|-----------------------------------------|--------------------------------------------------------------------------|
+| UE | Enrollee |
+| BSF | MEF |
+| NAF | MAF |
+| Bootstrapping Procedure | Bootstrap Security Handshake + Temporary Enrolment Key Generation |
+| Ks | Ke |
+| B-TID | KeID |
+| Bootstrapping Usage Procedure | Usage in MAF Handshake |
+| NAF FQDN | MAF-ID |
+| Ks_(ext/int)_NAF | Km (master credential) |
+
+## Appendix II
+
+### General mutual authentication mechanism
+
+(This appendix does not form an integral part of this Recommendation.)
+
+#### II.0 Introduction
+
+oneM2M mutual authentication schemes allow oneM2M entities to prove that they know related credentials such as master credentials, without having to exchange the values of those credentials, and sensitive data such as security identities and security identifiers. To prevent reading and copying of credentials, a secure environment within the security CSF provides protection against tampering of those credentials and related processed information.
+
+A general mutual authentication protocol is applied to both symmetric and asymmetric key based schemes. Precise protocol messages and parameters depend on the chosen scheme and the security parameters selected. Typically, it consists of following steps as shown in Figure II.1.
+
+
+
+```
+sequenceDiagram
+ participant A as Entity A
+ participant B as Entity B
+ A->>B: 1. Initial triggering command (entity A identifier, security capabilities, etc.)
+ B->>A: 2. Auth. Challenge (e.g., random challenge, AUTN derived from Master credentials, etc.)
+ A->>B: 3. Auth. Response
+ B->>A: 4. Authentication OK/NOK
+```
+
+Y.4500.3(23)
+
+Sequence diagram showing the mutual authentication process between Entity A and Entity B. Step 1: Entity A sends an initial triggering command to Entity B. Step 2: Entity B sends an authentication challenge to Entity A. Step 3: Entity A sends an authentication response to Entity B. Step 4: Entity B sends an authentication OK/NOK result to Entity A.
+
+**Figure II.1 – Mutual authentication**
+
+1. An initial step where an entity A is securely identified to an entity B with whom previous or no previous contact has been made. In this step entity A identifies itself to an entity B protected against eavesdropping, i.e., no exchange of key materials (master credentials).
+2. In the second step entity B sends a challenge to entity A. The Authentication Challenge consists of a challenge, the authentication token (AUTN) of entity B derived from master credentials, etc. The authentication challenge, which may be random or not, depends on the chosen authentication scheme and the security parameters selected for symmetric and asymmetric key based schemes.
+3. Entity A replies with an Authentication Response that contains an authentication token (AUTN) derived from its known master credentials and the received Authentication Challenge. This Authentication Response is sent if entity B has been successfully authenticated by entity A.
+4. Entity B then verifies the relation between entity A's identity and the response received in step 3. If the verification is positive, entity B is assured that the response has been created by entity A using a secret associated with entity A's identity provided in step 1.
+
+#### II.1 Group authentication
+
+The oneM2M transactions may naturally involve groups of M2M entities rather than individual ones. A number of entities are classified as a group due to their proximate locations, having the same features, belonging to the same owner, or any other reasons. To get services, all entities in such a group should be authenticated first. The traditional authentication mechanism has two main solutions, the first authentication mechanism is that the service provider authenticates each entity in the group
+
+one by one; the second authentication mechanism is that each entity makes mutual authentication with a group agent, then the group agent makes mutual authentication with the service provider. If the first authentication mechanism is used, the resulting authentication overheads of computation and communication may be too high to afford. If the second authentication mechanism is used, it has the following security weaknesses:
+
+1. It may be subject to a man-in-the-middle attack by the group agent: The group agent would be placed in an unsecure place or owned by different provider than the service provider. If the group agent is compromised or lies to the service provider, the group agent would act as a middle attacker to make fake authentication to entities and report fake identities to the service provider since there is no direct authentication from service provider to each M2M entity.
+2. Privacy concern: All information from M2M entities is transferred through the group agent, and the group agent knows all information generated by each entity. Based on security considerations, if the group agent is owned by a different owner other than the entities' and service providers' owner, the group agent should not get the message.
+
+Hence, the M2M entities (e.g., ASN or ADN) with the same feature can utilize group authentication to the service provider (e.g., infrastructure node) in order to provide an end-to-end secure tunnel as well as reducing the communication overhead.
+
+## **Appendix III**
+
+### **Blank appendix**
+
+*This appendix is intentionally left blank.*
+
+## **Appendix IV**
+
+### **Blank appendix**
+
+*This appendix is intentionally left blank.*
+
+## Appendix V
+
+### Precisions for the UICC framework to support M2M services
+
+(This appendix does not form an integral part of this Recommendation.)
+
+#### V.0 Introduction
+
+This appendix provides further practical information related to the UICC framework for oneM2M described in Annex D.
+
+#### V.1 Suggested content of the EFs at pre-personalization
+
+If EFs have an unassigned value, it may not be clear from the main text what this value should be. This appendix suggests values in these cases as listed in Table V.1.
+
+**Table V.1 – Pre-personalized EF values**
+
+| File Identification | Description | Value |
+|---------------------|--------------------------------------|-------------------------------------|
+| '6F02' | 1M2M Service Subscription Identifier | '8000FF...FF' |
+| '6F03' | 1M2M Service Provider Identifier | '8000FF...FF' |
+| '6F04' | M2M Node Identifier | '8000FF...FF' |
+| '6F05' | Local CSE Identifier | '8000FF...FF' |
+| '6F06' | M2M Application Identifiers list | '00FF...FF' for each record |
+| '6F07' | MEF Identifier | '00FF...FF' for each record |
+| '6F08' | IN-CSE Identifiers list | '00FF...FF' for each record |
+| '6F09' | MAF FQDN | '8000FF...FF' |
+| '6F0A' | 1M2M Service Table | Operator/Service Provider dependant |
+
+#### V.2 EF changes via data download or CAT applications
+
+This clause defines if changing the content of an EF by the UICC OTA protocol or by a CAT application is advisable. Updating of certain EFs "over the air" or "over the Internet" could result in unpredictable behaviour of the UE; these are marked "Caution" in Table V.2. Certain EFs are marked "No"; under no circumstances should "over the air/over the internet" changes of these EFs be considered.
+
+**Table V.2 – EF update behaviour**
+
+| File identification | Description | Change advised |
+|---------------------|--------------------------------------|----------------|
+| '6F02' | 1M2M Service Subscription Identifier | No |
+| '6F03' | 1M2M Service Provider Identifier | No |
+| '6F04' | M2M Node Identifier | Caution |
+| '6F05' | Local CSE Identifier | Caution |
+| '6F06' | M2M Application Identifiers list | Caution |
+| '6F07' | MEF Identifier | Caution |
+| '6F08' | IN-CSE Identifiers list | Caution |
+| '6F09' | MAF FQDN | Caution |
+| '6F0A' | 1M2M Service Table | Caution |
+
+### V.3 List of SFI values at the ADFM2MSM or DFM2M level
+
+**Table V.3 – SFI values**
+
+| File Identification | SFI | Description |
+|---------------------|------|-------------------------------------|
+| '6F02' | '02' | M2M Service Subscription Identifier |
+| '6F03' | '03' | M2M Service Provider Identifier |
+| '6F04' | '04' | M2M Node Identifier |
+| '6F05' | '05' | Local CSE Identifier |
+| '6F06' | '06' | M2M Application Identifiers list |
+| '6F0A' | '0A' | 1M2M Service Table |
+
+All other SFI values are reserved for future use.
+
+### V.4 UICC related tags defined in Annex J
+
+**Table V.4 – UICC tags**
+
+| Tag | Name of Data Element | Usage |
+|------|---------------------------------------------|------------------------|
+| '80' | MAF FQDN TLV data object | EF MAFFQDN |
+| '80' | M2M-Node-ID TLV Data Object | EF M2MNID |
+| '80' | Local CSE-ID TLV data object | EF CSEID |
+| '80' | M2M-SP-ID TLV data object | EF 1M2MSPID |
+| '80' | M2M Subscription Identifier TLV data object | EF 1M2MSID |
+
+NOTE – The value 'FF' is an invalid tag value.
+
+## Appendix VI
+
+### Access control decision request
+
+(This appendix does not form an integral part of this Recommendation.)
+
+An access control decision request as introduced in clause 6.2.2 is generated by a PEP according to an Originator's access request and extra information provided by the hosting CSE using the format specified by the PDP. The PEP can send the access control decision request to a PDP for an access control decision.
+
+The PDP asks the PRP to retrieve all applicable access control policies according to the access control decision request, and then uses the access control decision request to evaluate the retrieved access control policies for an access control decision. An access control decision request from PEP to PDP can contain the following information:
+
+- An Originator: It represents the ID of the Originator that sends an access request to the target resource.
+- A Resource: It represents the URI of the target resource which the Originator wants to access.
+- An Operation: It represents the operation which the Originator wants to perform on the target resource.
+- An AccessTime: It represents the time of access.
+- A LocationRegion: It represents the location of the Originator.
+- An IPAddress: It represents the IP Address of the Originator.
+
+The URI of the target resource is used to locate the target resource and then find the associated access control policies.
+
+The ID of Originator is used to compare with the rule component subjects in order to check if a rule is applicable to the access control decision request.
+
+The operation is used to compare with the rule component operations in order to check if the operation is permitted by the rule.
+
+The AccessTime, LocationRegion and/or LocationRegion are used to check the rule component contexts in order to ensure some extra conditions are satisfied to using the rule for making an access control decision.
+
+## Appendix VII
+
+### Implementation guidance and index of solutions
+
+(This appendix does not form an integral part of this Recommendation.)
+
+The use of this Recommendation involves a context-specific risk assessment process from which relevant security solutions are identified.
+
+Clause 6 provides an overview of oneM2M security procedures. Clause 6.1.1 presents the interactions between layers, clause 6.1.2 introduces the sequence of events, and clause 6.2 provides further background especially for authorization (clause 6.2.2).
+
+Clause 7 on authorization and access control applies regardless of the type of credentials used. Clause 7.1 describes the general oneM2M access control policy management framework, which can be further enhanced by supporting frameworks for role-based access control (clause 7.4), dynamic authorization (clause 7.3). In addition, clause 11 leverages on the above to provide a privacy protection architecture that facilitates the setting and management of user's privacy profiles.
+
+The present appendix provides Table VII.1 to assist implementers in identifying which clauses of this Recommendation are relevant for a given type of credential. Specific clauses that apply for supporting end-to-end security are listed in italic characters.
+
+**Table VII.1 – Index of clauses specifying procedures per credential types**
+
+| Procedure/Solution | PSK | Certificates | TEF (GBA, MEF, MAF) |
+|------------------------------------|------------------------------------------------------------------------------------------------------|-----------------------------------------------------|----------------------------------------------------------------|
+| Remote security provisioning | 8.3.2.1 | 8.3.2.2, 8.7 | 8.3.2.3 (GBA) |
+| | 9.2.1.1 | | 9.2.1.2, 9.2.2.3, 9.2.2.4 (GBA), 9.2.3 |
+| Security Association Establishment | 8.2.1, 8.4 ( ESPrim ), 8.5.2.3 ( ESData Sign ), 8.5.2.4 ( ESData Sign+Encrypt ) | | |
+| | 9.1.1.1, 9.1.2.1 | | 9.1.1.2, 9.1.2.2 (MAF) |
+| | 8.1.1, 8.2.2.1, 8.5.2.2.2 ( ESData Encrypt ) | 8.1.2, 8.2.2.2, 8.5.2.2.4 ( ESData Encrypt ) | 8.1.3, 8.2.2.3 (MAF), 8.8, 8.5.2.2.3 ( ESData Encrypt ) |
+| Algorithm details | 10.2.1, 10.3.6 | | |
+| | 10.2.2, 10.3 | 10.1, 10.2.3, 10.3 | |
+
+## **Appendix VIII**
+
+### **Blank appendix**
+
+*This appendix is intentionally left blank.*
+
+## **Appendix IX**
+
+### **Blank appendix**
+
+*This appendix is intentionally left blank.*
+
+## Appendix X
+
+### Terms and conditions markup language implementation rules
+
+(This appendix does not form an integral part of this Recommendation.)
+
+Typical implementation rules are shown below and in Figure X.1 and are repeated for each row.
+
+Note on conventions: {} identifies the answers to earlier if statement, [] identifies the filter frame and () contain comments. The logic has been shown with indents to better show the nesting of the statements. The logic works by checking the same rows on the filter frames being checked.
+
+To generate the summary value for each row the following logic is used:
+
+If [Current filter frame] Value, is not equal to 'no data collected' or 'No data shared', etc = No preference or limit set)?
+
+ {Yes} Is [Current filter frame] value equal to [Previous filter frame] summary value (compound value) of?
+
+ {Yes} [Current filter frame] Summary value equals Value set.
+
+ {No} is [current filter frame] Value set ="Yes"?
+
+ {Yes} [Current filter frame] Summary value set as [Previous filter frame] Summary value
+
+ {No} [Current filter frame] Summary value set as [Current filter frame] Summary value.
+
+ {No} [Current filter frame] summary value set as [Previous filter frame] Summary value
+
+To generate the T&C acceptable symbol the following logic is used:
+
+If [Current filter frame] Value equals "Yes"?
+
+ {Yes} [Current filter frame] T&C Acceptable set as "☺" (the smiley is used so the result displayed to the user is language agnostic as well as only requiring a small amount of screen space).
+
+ {No} [Current filter frame] Value equal [Previous filter frame]?
+
+ {Yes} [Current filter frame] T&C acceptable set as "☺"
+
+ {No} [Current filter frame] T&C Acceptable set as "☹"
+
+![Flowchart illustrating Markup language implementation rules. The process starts with a 'Start' node, leading to a decision diamond '1. [Current Filter Frame]'. If 'No', it goes to '3. [Current Filter Frame] summary set as [Previous Filter Frame] Summary value' and then to a 'Stop' node. If 'Yes', it goes to decision diamond '5. Is [Current Filter Frame] value = [Previous Filter Frame] value'. If 'Yes', it goes to '6. [Current Filter Frame] summary value equals value set'. If 'No', it goes to decision diamond '4. Is [Current Filter frame] value set = "Yes"'. From '4', if 'Yes', it goes to '7. [Current Filter Frame] summary value set as [Previous Filter Frame] Summary value'. If 'No', it goes to '8. [Current Filter Frame] summary value set as [Current Filter Frame] Summary value'. Both '7' and '8' lead to a final 'Stop' node.](09da3f926780c5e1a7db91a5abfaa3d0_img.jpg)
+
+```
+
+graph TD
+ Start((Start)) --> D1{1. [Current Filter Frame]}
+ D1 -- N/A --> B2[2. Not applicable, No preference of limit set]
+ B2 --> Stop1((Stop))
+ D1 -- No --> B3[3. [Current Filter Frame] summary set as [Previous Filter Frame] Summary value]
+ B3 --> Stop2((Stop))
+ D1 -- Yes --> D5{5. Is [Current Filter Frame] value = [Previous Filter Frame] value}
+ D5 -- Yes --> B6[6. [Current Filter Frame] summary value equals value set]
+ D5 -- No --> D4{4. Is [Current Filter frame] value set = "Yes"}
+ D4 -- Yes --> B7[7. [Current Filter Frame] summary value set as [Previous Filter Frame] Summary value]
+ D4 -- No --> B8[8. [Current Filter Frame] summary value set as [Current Filter Frame] Summary value]
+ B7 --> Stop3((Stop))
+ B8 --> Stop3
+
+```
+
+Flowchart illustrating Markup language implementation rules. The process starts with a 'Start' node, leading to a decision diamond '1. [Current Filter Frame]'. If 'No', it goes to '3. [Current Filter Frame] summary set as [Previous Filter Frame] Summary value' and then to a 'Stop' node. If 'Yes', it goes to decision diamond '5. Is [Current Filter Frame] value = [Previous Filter Frame] value'. If 'Yes', it goes to '6. [Current Filter Frame] summary value equals value set'. If 'No', it goes to decision diamond '4. Is [Current Filter frame] value set = "Yes"'. From '4', if 'Yes', it goes to '7. [Current Filter Frame] summary value set as [Previous Filter Frame] Summary value'. If 'No', it goes to '8. [Current Filter Frame] summary value set as [Current Filter Frame] Summary value'. Both '7' and '8' lead to a final 'Stop' node.
+
+Y.4500.3(23)
+
+**Figure X.1 – Markup language implementation rules**
+
+## Appendix XI
+
+### Example SCEP implementation
+
+(This appendix does not form an integral part of this Recommendation.)
+
+#### XI.1 Introduction
+
+This appendix provides a description of an implementation of the simple certificate enrolment protocol (SCEP). A script which performs the procedures described here can be found in the oneM2M Gitlab repository .
+
+#### XI.2 Certificate provisioning procedures using SCEP
+
+Figure XI.2-1 shows a high level outline of the SCEP procedures. The figure identifies the following building blocks of a certificate automation service using SCEP [IETF RFC 8824].
+
+- Profile provisioning is the primary and authoritative actor in any automation system. Provisioning informs the *device's automation client*, and the PKI service – the credential issuer, through the establishment of pre-authorized device credentials, that a number of unique devices will be calling home to request dedicated unique Client certificate(s).
+- The provisioning capability informs both the remote device and the PKI service over an authenticated and confidential channel of their unique provisioning profiles. The provisioning profiles can be revised at any time, allowing existing credentials to be forced changed if necessary. Typical provisioning protocols include TR-069, OMA-DM, etc.
+- The *device automation client*, or certificate application intelligence provides a state machine that uses the provisioning data, a.k.a provisioning profiles, to generate keys and request and replace certificates at pre-determined periods in time by making requests of a native SCEP Client. Typically, the intelligence is time driven, ensuring timely renewal of existing keys and certificates; however, it can also be event driven by the receipt of revised provisioning profiles from the provisioning system. The SCEP Client is a native application installed on systems, servers or devices, it communicates with a SCEP responders using a protocol defined in [IETF RFC 8824]. The particular SCEP responder(s) are identified within the various provisioning profiles.
+- Figure XI.2-1 identifies a number of example SCEP message request response messages – these are documented in [IETF RFC 8824]. The SCEP responder on receipt of a chain certificate request, responds by supplying the requested certificate. On receipt of a Client certificate request the SCEP responder first validates the requestor's identity and proof of possession of a unique credential, before requesting the issuing CA to issue a new certificate, forwarding the new certificate back to the SCEP Client.
+- The SCEP responder can also reject the certificate request, or indicate issuance is pending based on an issuing CA action. On receipt of a replacement certificate chain the *device automation client* validates the certificate chain received including testing against either CRL or OCSP responses. Only if the new certificate chain is known to be good will the certificate chain be written to the application certificate store, overwriting the previous certificate. On renewal, a peer's trust anchor(s) can also be renewed.
+
+
+
+```
+
+sequenceDiagram
+ participant App as App stack
+ participant PC as Provisioning Client
+ participant SC as SCEP Client
+ participant SR as SCEP Responder / TR-069 (Data Master)
+
+ Note over PC, SR: TR-069 provisioning (SCEP client)
+ Note over PC, SR: TR-069 provisioning (FQDN + Challenge phrase)
+
+ rect rgb(240, 240, 240)
+ Note right of PC: Provisioning profile 1 – Request Trust anchor(s)
+ SC->>SR: GetCACaps ()
+ SR-->>SC: GetCACaps Response ()
+ SC->>SR: GetCACert (SCEP Message)
+ SR-->>SC: GetCACert Response ()
+ SC->>SR: GetCACaps ()
+ SR-->>SC: GetCACaps Response ()
+ end
+
+ rect rgb(240, 240, 240)
+ Note right of PC: Provisioning profile 2 – Request Issuing CA and End Entity Cert
+ SC->>SR: GetCACerts ()
+ SR-->>SC: GetCACerts Response ()
+ SC->>SR: PKCSReq (Encrypted CSR)
+ SR-->>SC: CertRep (Pending)
+ SC->>SR: GetCertInitial ()
+ SR-->>SC: CertRep (Success + cert)
+ end
+
+ App->>PC: Automated Renewal
+ Note left of App: Root CA, checked against Fingerprint
+ Note left of App: ICA check, checked against both the Root and ARL
+ Note left of App: End entity check in CRL
+
+```
+
+The diagram illustrates the SCEP certificate provisioning procedure. It shows the interaction between an App(s) stack (containing CA Certs, Private keys, and Certs), a Provisioning Client, a SCEP Client, and a SCEP Responder (TR-069 Data Master). The process involves two provisioning profiles: Profile 1 for requesting trust anchors (Capabilities and Trust Anchor blocks) and Profile 2 for requesting the Issuing CA and End Entity Certificate (Capabilities and Enrolment blocks). Key steps include GetCACaps, GetCACert, GetCACerts, PKCSReq, and GetCertInitial. Validation steps include checking against fingerprints, Root CA, ARL, and CRL.
+
+Y.4500.3(23)
+
+Figure XI.2-1 – SCEP certificate provisioning procedure diagram showing interactions between App stack, Provisioning Client, SCEP Client, and SCEP Responder/TR-069 Data Master.
+
+**Figure XI.2-1 – SCEP certificate provisioning procedure**
+
+The SCEP certificate automation solution consists of the following five functions:
+
+### 1) Initial configuration of the SCEP client with provisioning profiles
+
+Initial configuration of the SCEP Client addresses the need to establish sets of context specific Provisioning Profiles within an end point device. The two obvious options for providing provisioning profiles are:
+
+1. Manual configuration of each device, and
+2. Automated provisioning from a device manager or element manager service. For example, by the procedures in [ITU-T Y.4500.22].
+
+The number of sets of provisioning profiles matches the number of application security stacks required.
+
+This function downloads a set of provisioning profiles from the device manager or element manager service to enable the following actions:
+
+- A unique x509v3 cryptographic credential chaining to a trusted root CA is established, allowing the end point device to subsequently bootstrap its setup. [IETF RFC 5280]
+- A locally significant unique key pair is established.
+- An associated certificate signing request is generated.
+- A trust anchor is validated out of band by verification of a fingerprint within the provisioning profile.
+- Each subordinate CA retrieved is validated in turn against its superior.
+
+- The request of a Client certificate from a pre-authorized issuer (the SCEP responder) is authenticated and secured using a username and password.
+- The trust anchor of a trusted peer can also be downloaded and validated. These peer trust anchors can be updated based on a revised provisioning profile.
+
+## **2) Device intelligence & state machine**
+
+The device intelligence and state machine is the heart of any SCEP, certificate management protocol version 2 (CMPv2) or EST solution. Logically a good state machine can drive any message responder where SCEP is considered here.
+
+The state machine is triggered by a complete and valid set of provisioning profiles.
+
+This function, while intended to operate autonomously in the context of unattended IoT devices without a web browser user interface, has been written to reflect a browser based user journey. The intention is to maintain compatibility with any manual test and diagnostic processes required for IoT devices and with elements of the service that do have a traditional user interface, for example, use of a smart phone in the oneM2M home domain.
+
+The key steps are:
+
+1. The device requests its own trust anchor (Root CA).
+2. The device's own trust anchor (Root CA) is validated against a fingerprint provided by a provisioning profile.
+3. The device requests its own intermediate certificates one by one.
+4. The device intermediate certificates are validated against the superior issuer to protect against MITMA.
+5. The device requests a first Client certificate. This assumes a device has no Client certificate, but is in possession of a valid set of provisioning profiles. This step always requests the issuing CA to provide confidentiality for certificate requests. The SCEP Client recovers the public key for the ICA. The certificate request is encrypted with the public key so that only the CA or RA private key can decrypt the request.
+6. If directed by provisioning authority, the device requests a new certificate, or requests the renewal of an existing certificate immediately. A request for a new certificate might be against a different PKI.
+7. Automated renewal of an existing certificate, based for example on a configured percentage of the current certificate's lifetime has elapsed, is also supported.
+8. All certificates are parsed to request associated CRLs or OCSP response.
+9. The Client requests the peers trust anchor, if it is different from its own trust anchor.
+10. The intermediate and issuing CA of a peer are requested to allow mutual authentication if required. Once a new, or replacement, certificate chain has been established, the certificate chain is validated, as it will likely be used to replace the existing good certificate chain.
+11. The key material is moved to the appropriate secure application stores.
+12. The provisioning authority of current certificate is notified with information as required.
+13. Expired certificate artefacts are deleted.
+
+Note that the above list is not meant to imply a state machine order, or indicate a solution. However, it is assumed sophisticated solutions will exceed the states identified, and simpler solutions can choose to omit states not required by the device solution.
+
+### 3) SCEP Client
+
+A SCEP Client is typically an open source piece of software developed to perform certificate request actions against the SCEP responder. The SCEP Client is directed by the state machine described above using the data provisioned in the initial configuration procedure.
+
+The SCEP Client is compliant with [IETF RFC 8824] and can be sourced from the open source communities, if a native Client does not exist today. For example, see [b-SSCEP] – based on original work by Martin Bartosch.
+
+This SCEP Client was selected because the authors have modified their SCEP Client behaviour to support long chain PKI (see [b-SSCEP-I])
+
+An alternative is the Java-based SCEP Client at [b-JSCEP] by Dave Grant and team.
+
+NOTE – This has also been modified to support long chained PKI and recently forked to specifically address Android requirements by Wes Bunton
+
+### 4) SCEP responder
+
+A SCEP responder is an additional component of both enterprise and managed PKI services. Essentially a SCEP responder can be considered as an additional RA (Registration Authority) service.
+
+On request the SCEP responder(s) will provide trust anchors, Intermediate CAs, issuing CAs and Locally Significant certificates. A private/public key pair needs to be generated on the device.
+
+Requests for certificate issuance would be against a unique username and password held securely within the request subject alternative name and challenge phrase fields of the certificate CSR (see [IETF RFC 8824]).
+
+Typically, these one-time passwords expire on certificate issuance, needing to be re-set in the future when certificate renewal services are required.
+
+The provisioning solution identified would be authoritative – tracking devices and elements under management, and would pre-provision the SCEP responder with valid username and password pairs, prior to the SCEP Client using them.
+
+Unsuccessful authentications are rejected, and successfully authenticated CSR are passed to the PKI for fulfilment. Upon successful authentication, an end entity certificate is returned.
+
+The provisioning solution can even request revocation of device certificates that can no longer be trusted.
+
+### 5) Locally significant pki & certificates
+
+A PKI service provides the pre-requisite knowledge, skill and compliance framework to support SCEP certificate issuance. The building blocks of a SCEP solution include: PKI&CA, SCEP responder (RA), request authenticator, and request authorizer.
+
+It is typical in the CPE or IoT space that a PKI is designed based on a good understanding of the certificate volumes, and an understanding of the required cryptographic operational separation to be enforced.
+
+#### Certification Authority
+
+A SCEP Certification Authority (CA) signs Client certificates. The CAs name is stored in the issuer field of resulting certificates. Before any PKI operations are invoked, the SCEP responder shares an issuer 'CA' certificate that is compliant with the profile in [IETF RFC 5280] with SCEP Client and optionally dedicated RA certificates. This can be a CA certificate that was issued by a higher level CA. The Client builds an entire certificate chain from the trust anchor, validating each certificate in turn.
+
+## **Registration Authority**
+
+A SCEP Registration Authority (RA) as a SCEP responder performs validation and authorization checks of the SCEP requester and forward the certification requests to the CA. The SCEP Responder receives a certificate from the CA and forwards this to the SCEP Client. The RAs name does not appear in the issuer field of resulting certificates.
+
+## **Requester authentication**
+
+As with every protocol that uses public-key cryptography, the association between the public keys used in the protocol and the identities with which they are associated are authenticated in a cryptographically secure manner. This requirement is needed to prevent a "man-in-the-middle" attack, in which an adversary can manipulate the data as it travels between the protocol participants and subvert the security of the protocol. The communication between the requester and the certification authority is secured using SCEP secure message objects which specifies how PKCS#7 is used to encrypt and sign the data of the CSR.
+
+## **Request authorization**
+
+The following SCEP authentication methods for certificate authorization can be supported:
+
+- Use of unique usernames and passwords;
+- Use of unique end entity certificate and a demonstration of proof of possession of the private key.
+
+## Bibliography
+
+- [b-ITU-T X.510] Recommendation ITU-T X.510 (2020), *Information technology – Open Systems Interconnection – The Directory: Protocol specifications for secure operations*.
+- [b-ITU-T Y.4500.5] Recommendation ITU-T Y.4500.5 (2018), *oneM2M management enablement (OMA)*.
+- [b-ITU-T Y.4500.6] Recommendation ITU-T Y.4500.6 (2018), *oneM2M management enablement (BBF)*.
+- [b-ATIS.oneM2M.TS0003] oneM2M Security Solutions TS-0003 V2.4.1-2016 ATIS
+
+- [b-ETSI TS 103 645] ETSI TS 103 645 (2019), *Cyber Security For Consumer Internet Of Things*.
+[https://www.etsi.org/deliver/etsi\\_ts/103600\\_103699/103645/01.01.01\\_60/ts\\_103645v010101p.pdf](https://www.etsi.org/deliver/etsi_ts/103600_103699/103645/01.01.01_60/ts_103645v010101p.pdf)
+- [b-ETSI TS 118 103] oneM2M Security solutions TS-0003 v2.4.1 ETSI
+[https://www.etsi.org/deliver/etsi\\_ts/118100\\_118199/118103/02.04.01\\_60/ts\\_118103v020401p.pdf](https://www.etsi.org/deliver/etsi_ts/118100_118199/118103/02.04.01_60/ts_118103v020401p.pdf)
+- [b-IETF RFC 6455] IETF RFC 6455 (2011), *The Web Socket Protocol*, December.
+- [b-IETF RFC 7252] IETF RFC 7252 (2014), *The Constrained Application Protocol (CoAP)*.
+- [b-IETF RFC 7230] IETF RFC 7230 (2014), *Hypertext Transfer Protocol (HTTP/1.1): Message Syntax and Routing*.
+- [b-ISO 3166-1] ISO 3166-1:2020, *Codes for the representation of names of countries and their subdivisions – Part 1: Country codes*.
+- [b-ISO/IEC 7816-5] ISO/IEC 7816-5:2004, *Identification cards – Integrated circuit cards – Part 5: Registration of Application Providers*.
+- [b-GP DTSERAM] GlobalPlatform (2015), *Device Technology Secure Element Remote Application Management v1.0 GPD\_SPE\_008*.
+