Data Collection & Requirements

Open-Source Cybersecurity and AI Security Datasets This project provides a comprehensive collection of open-source datasets focused on cybersecurity threats and AI security vulnerabilities. The datasets are carefully selected to align with specific security threats, such as: Data Exfiltration Data Poisoning Model Manipulation Adversarial Examples Model Inversion Model Extraction Spoofing Attacks Unauthorized Access Supply Chain Compromise Dataset Collection Each dataset includes a detailed description, source type, purpose, and direct access links for easy retrieval. 1. DARPA Intrusion Detection Dataset Access Here Description: Simulated network traffic with various cyber attack scenarios (e.g., DoS, Probe, U2R, R2L). Format: PCAP Update Frequency: Static Use Cases: IDS training, intrusion detection research 2. MITRE ATT&CK Framework Data Access Here Description: A globally-accessible knowledge base of adversarial tactics, techniques, and procedures (TTPs). Format: JSON, STIX Update Frequency: Quarterly Use Cases: Threat intelligence, adversary simulation, AI model defense 3. VirusShare Malware Repository Access Here (Registration Required) Description: Large-scale collection of live malware samples for security research. Format: ZIP, PE files Update Frequency: Weekly Use Cases: AI-based malware detection, sandbox testing 4. National Vulnerability Database (NVD) Access Here Description: A repository of reported vulnerabilities (CVEs) with severity scores and descriptions. Format: XML, JSON Update Frequency: Daily Use Cases: Vulnerability management, exploit mitigation research 5. LANL Unified Host and Network Dataset Access Here Description: Enterprise-scale dataset containing network and host logs with real-world red-team attack events. Format: Text files Update Frequency: Static Use Cases: Insider threat detection, anomaly detection in network security 6. CIC-IDS2017 (Intrusion Detection Dataset) Access Here Description: Network traffic dataset with multiple attack types, including DDoS, brute-force, and infiltration attacks. Format: PCAP, CSV Update Frequency: Static Use Cases: Machine learning-based intrusion detection, behavioral analysis 7. CIC IoV CAN Bus Dataset 2024 Access Here Description: Vehicle CAN bus data, including spoofing and denial-of-service (DoS) attack traces. Format: CSV, PCAP Update Frequency: Static Use Cases: Automotive security, AI-based anomaly detection in vehicles 8. ImageNet-A (Adversarial Image Dataset) Access Here Description: A dataset of real-world images that cause misclassification in deep learning models. Format: JPEG Update Frequency: Static Use Cases: Adversarial robustness evaluation, model retraining for security