| --- |
| language: |
| - en |
| license: unlicense |
| size_categories: |
| - 10K<n<100K |
| task_categories: |
| - text-classification |
| - text-generation |
| pretty_name: Cyberattack in Blockchain |
| tags: |
| - cyberattack |
| - finance |
| - blockchain |
| - twitter |
| - synthetic |
| - llms |
| --- |
| |
| # ELTEX-Blockchain: A Domain-Specific Dataset for Cybersecurity |
| 🔐 **12k Synthetic Social Media Messages for Early Cyberattack Detection on Blockchain** |
|
|
| ## Dataset Statistics |
|
|
| | **Category** | **Samples** | **Description** | |
| |--------------|-------------|-----------------| |
| | **Cyberattack** | 6,941 | Early warning signals and indicators of cyberattacks | |
| | **General** | 4,507 | Regular blockchain discussions (non-security related) | |
|
|
| ## Dataset Structure |
|
|
| Each entry in the dataset contains: |
| - `message_id`: Unique identifier for each message |
| - `content`: The text content of the social media message |
| - `topic`: Classification label ("cyberattack" or "general") |
|
|
| ## Performance |
| [Gemma-2b-it](https://huggingface.co/google/gemma-2b-it) fine-tuned on this dataset: |
| - Achieves a Brier score of 0.16 using only synthetic data in our social media threat detection task |
| - Shows competitive performance on this specific task when compared to general-purpose models known for capabilities in cybersecurity tasks, like [granite-3.2-2b-instruct](https://huggingface.co/ibm-granite/granite-3.2-2b-instruct), and cybersecurity-focused LLMs trained on [Primus](https://huggingface.co/papers/2502.11191) |
| - Demonstrates promising results for smaller models on this specific task, with our best hybrid model achieving an F1 score of 0.81 on our blockchain threat detection test set, though GPT-4o maintains superior overall accuracy (0.84) and calibration (Brier 0.10) |
|
|
| ## Attack Type Distribution |
|
|
| | **Attack Vectors** | **Seed Examples** | |
| |-------------------|------------------------| |
| | Social Engineering & Phishing | Credential theft, wallet phishing | |
| | Smart Contract Exploits | Token claim vulnerabilities, flash loans | |
| | Exchange Security Breaches | Hot wallet compromises, key theft | |
| | DeFi Protocol Attacks | Liquidity pool manipulation, bridge exploits | |
|
|
| For more about Cyberattack Vectors, read [Attack Vectors Wiki](https://dn.institute/research/cyberattacks/wiki/) |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{razmyslovich2025eltexframeworkdomaindrivensynthetic, |
| title={ELTEX: A Framework for Domain-Driven Synthetic Data Generation}, |
| author={Arina Razmyslovich and Kseniia Murasheva and Sofia Sedlova and Julien Capitaine and Eugene Dmitriev}, |
| year={2025}, |
| eprint={2503.15055}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL}, |
| url={https://arxiv.org/abs/2503.15055}, |
| } |
| ``` |
