Datasets:
Formats:
csv
Size:
< 1K
Tags:
cyber-security
ad-fraud
behavioral-biometrics
clickstream-analytics
bot-detection
human-intent
License:
|
Download README.md from AskFirstAI/global-web-antifraud-behavioral-telemetry: direct link, hf CLI and curl.
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https://huggingface.co/datasets/AskFirstAI/global-web-antifraud-behavioral-telemetry/resolve/main/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/datasets/AskFirstAI/global-web-antifraud-behavioral-telemetry/resolve/main/README.md
7.27 kB
| license: cc-by-nc-4.0 | |
| task_categories: | |
| - text-classification | |
| - tabular-classification | |
| language: | |
| - en | |
| - ru | |
| - es | |
| - zh | |
| - ar | |
| tags: | |
| - cyber-security | |
| - ad-fraud | |
| - behavioral-biometrics | |
| - clickstream-analytics | |
| - bot-detection | |
| - human-intent | |
| - telemetry | |
| - anti-fraud | |
| size_categories: | |
| - 500k<n<1M | |
| pretty_name: AskFirst Global Web Anti-Fraud & Biometrics | |
| # AskFirst Global Web Anti-Fraud, Bot Detection & Behavioral Biometrics Dataset (Premium Sample) | |
| ## 1. DATASET OVERVIEW | |
| This repository contains a premium production sample of the **Global Web Anti-Fraud & Behavioral Biometrics Telemetry** dataset managed by **Ask First AI, Inc.** This database contains **0% synthetic or AI-generated rows**. Every single record represents raw, ground-truth human traffic or malicious automated bot interactions aggregated from live production environments via native Next.js Cloud SDK edge nodes. | |
| The dataset applies a strict **Zero-NULL policy**, ensuring that all telemetry, technographic, and biometric fields are 100% populated across all rows. To maintain absolute compliance with global privacy standards, all client device signatures, canvas fingerprints, and network subnets are systematically hashed using cryptographic SHA-256 with a secure salt. | |
| * **Total Baseline Volume:** 605,915+ fully labeled, verified sessions (dynamically ingested via real-time SDK cloud pipelines). | |
| * **Delivery Engine:** Secured via Google BigQuery Analytics Hub Data Clean Rooms (Authorized Views). | |
| * **Target Table Address:** `gen-lang-client-0835445607.firestore_export.antifraud_behavioral_sessions` | |
| * **Licensing Model:** Commercial Enterprise Licenses are handled directly via corporate Proforma Invoices or Private Cloud Offers. | |
| * **Geographical & Cross-Lingual Scope:** 120+ countries, 5 core human languages detected (*English, Russian, Spanish, Chinese, Arabic*). | |
| --- | |
| ## 2. DATA SCHEMA SPECIFICATION | |
| Every row inside this database maps an entire synchronized user-to-network tracking lifecycle containing **22 precision fields** optimized for standard Google BigQuery SQL environments: | |
| 1. **sync_timestamp (TIMESTAMP):** Exact ISO-8601 UTC time of session validation and log insertion window. | |
| 2. **session_id (STRING):** Anonymized unique session token hashed via SHA-256 (`sess_<20-char-hex>`). | |
| 3. **user_question (STRING):** Raw, organic human search query or intent string. 100% scrubbed of any PII at edge nodes. | |
| 4. **topic (STRING):** Categorical structural domain label of the intent query (`finance`, `technology`, `health`, `lifestyle`, `science`, `business`, `general`). | |
| 5. **language (STRING):** ISO 639-1 language code detected from client browser negotiation headers (`en`, `ru`, `es`, `zh`, `ar`). | |
| 6. **country_code (STRING):** Country/region of the session origin resolved via secure edge cloud lookup (*e.g., United States, European Union, GB, IN, NG*). | |
| 7. **visit_status (STRING):** Definitive Ground-Truth anti-fraud label: `approved` (verified real human) or `fraud` (automated bot / click-farm / script execution). | |
| 8. **dwell_time_ms (INT64):** Confirmed active user dwell time recorded on the page interface, measured in milliseconds. | |
| 9. **behavioral_entropy (FLOAT64):** Calculated Shannon behavioral entropy mapping interactivity randomness (ranging from `0.0000` for programmatic scripts to `1.0000` for chaotic human movements). | |
| 10. **behavioral_data (JSON/STRING):** Comprehensive kinematic session profile map capturing interaction counts: `{"mouseMovements", "clicks", "scrollEvents", "keyPresses", "timeOnPage", "entropy"}`. | |
| 11. **user_agent (STRING):** Full raw HTTP User-Agent string outlining client browser, engine version, and operating system architecture. | |
| 12. **canvas_fingerprint_hash (STRING):** 64-character SHA-256 cryptographic hash of the hardware-rendered HTML5 Canvas device fingerprint. | |
| 13. **ip_subnet_hash (STRING):** 64-character SHA-256 cryptographic hash of the masked network client subnet. | |
| 14. **is_proxy_or_tor (BOOLEAN):** Security flag indicating whether the session bypassed via a known Tor node, anonymous proxy, or data-center VPN pool (`true` / `false`). | |
| 15. **turnstile_verified (BOOLEAN):** Verification status confirming successful passing of the invisible cryptographic Cloudflare Turnstile challenge (`true` / `false`). | |
| 16. **honeypot_triggered (BOOLEAN):** Intrusion flag signaling if the visitor interacted with invisible, hidden DOM honeypot trap elements (`true` / `false`). | |
| 17. **trust_score (FLOAT64):** Aggregated analytical confidence rating evaluating session legitimacy, scaling from `0.0` (Absolute Malicious Fraud) to `100.0` (Fully Verified Human). | |
| 18. **trust_level (STRING):** Categorized operational trust tier derived from the scoring layer (`low`, `medium`, `high`, `verified`). | |
| 19. **referral_fraud_rate (FLOAT64):** Historical running fraud ratio associated with the specific traffic source referrer (scaled `0.0` to `1.0`). | |
| 20. **visit_fraud_rate (FLOAT64):** Historical ratio of confirmed fraudulent visits linked to the ingestion endpoint (scaled `0.0` to `1.0`). | |
| 21. **verified_clicks (INT64):** Counter tracking confirmed, biologically validated human navigation clicks performed within the session lifecycle. | |
| 22. **is_auto_verified (BOOLEAN):** Real-time flag indicating if the session was immediately validated on-the-fly by biometric edge heuristics (`true` / `false`). | |
| --- | |
| ## 3. PRIMARY TARGET USE CASES | |
| * **Anti-Fraud & WAF ML Training:** Ideal for building binary classification algorithms (`visit_status`) and real-time risk scoring matrices (`trust_score`) to block advanced scrapers and credential-stuffing botnets. | |
| * **Behavioral Biometrics Research:** Provides deep kinematics data (mouse arcs, keystroke flight times, and Shannon entropy coefficients) across multiple desktop and mobile operating systems. | |
| * **Botnet & Click-Farm Clustering:** Allows cybersecurity analysts to map malicious nodes and device-spoofing networks by cross-referencing `canvas_fingerprint_hash` + `ip_subnet_hash` + `user_agent` patterns. | |
| * **Organic Search Intent Profiling:** Offers clean data on what real, verified humans are searching for online, completely filtered from click-inflation and bot noise. | |
| --- | |
| ## 4. ENTERPRISE COMMERCIAL LICENSING & SUBSCRIPTIONS | |
| Delivery is executed instantly via secure Cloud Clean Rooms inside the **Google BigQuery Analytics Hub**. Corporate merchant routing is cleared via PayPal Business US through formal Proforma Invoices: | |
| 1. **Historical Production Archive (One-time Bulk Purchase):** **€5,500** | |
| Immediate uncapped read access to the complete baseline database of 605k+ records. | |
| 2. **Small Batch Continuous Ingestion Subscription:** **€800 / month** | |
| Automated streaming delivery up to 10,000 fresh verified rows per month. | |
| 3. **Enterprise Ingestion Subscription:** **€2,500 / month** | |
| Automated streaming delivery up to 50,000 fresh verified rows per month. | |
| 4. **Unlimited Real-Time Ingestion Stream:** **€4,500 / month** | |
| Uncapped, live streaming directly from our edge SDK pipeline into your corporate SIEM, fraud-prevention, or model training architecture. | |
| --- | |
| ## 5. CONTACT & DATA ROOM ENQUIRIES | |
| * **Corporate Infrastructure Hub:** Ask First AI, Inc. (United States) | |
| * **Primary Communications Desk:** boss@askfirst.ai | |