DOI: 10.5281/zenodo.15069420
title: Data Collection & Requirements

description: 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.





Comprehensive, Multi-Source Cyber-Security Events





Access Here: https://csr.lanl.gov/data/




Description: 58 days of de-identified LANL network data (authentication, process events, DNS, network flow, red team).




Format: Text files




Update Frequency: Static




Use Cases: Cybersecurity Event Analysis






DARPA Intrusion Detection Data Sets





Access Here: https://archive.ll.mit.edu/ideval/data/




Description: Simulated network traffic with intrusion scenarios.




Format: PCAP files




Update Frequency: Static




Use Cases: IDS Training






MITRE ATT&CK Framework Data





Access Here: https://attack.mitre.org/




Description: Adversary TTPs (tactics, techniques, procedures) in a globally accessible knowledge base.




Format: JSON/STIX




Update Frequency: Quarterly




Use Cases: Threat Intelligence






National Vulnerability Database (NVD)





Access Here: https://nvd.nist.gov/




Description: CVEs with severity scores and descriptions.




Format: XML/JSON




Update Frequency: Daily




Use Cases: Vulnerability Management






LANL Unified Host and Network Dataset





Access Here: https://csr.lanl.gov/data/




Description: Enterprise-scale dataset with network and host logs, including real-world red-team attacks.




Format: Text files




Update Frequency: Static




Use Cases: Insider Threat Detection






CIC-IDS2017 (Intrusion Detection Dataset)





Access Here: https://www.unb.ca/cic/datasets/ids-2017.html




Description: Network traffic dataset with multiple attack types (DDoS, brute-force, infiltration).




Format: PCAP, CSV




Update Frequency: Static




Use Cases: Intrusion Detection






CIC IoV CAN Bus Dataset 2024





Access Here: https://www.unb.ca/cic/datasets/




Description: Vehicle CAN bus data, including spoofing and DoS attack traces.




Format: CSV, PCAP




Update Frequency: Static




Use Cases: Automotive Security






ASVspoof 2019 (Voice Spoofing Dataset)





Access Here: https://datashare.ed.ac.uk/handle/10283/3336




Description: Evaluates automatic speaker verification systems under spoofing attacks.




Format: WAV files




Update Frequency: Static




Use Cases: Voice Security






ToN_IoT Datasets





Access Here: https://research.unsw.edu.au/projects/toniot-datasets




Description: Federated IoT data sources, including telemetry, OS logs, and network traffic.




Format: CSV, JSON




Update Frequency: Ongoing




Use Cases: Threat Intelligence






ADFA Intrusion Detection Datasets





Access Here: https://research.unsw.edu.au/projects/adfa-ids-datasets




Description: Host-based intrusion detection datasets for Windows and Linux.




Format: CSV, JSON




Update Frequency: Static




Use Cases: Host Intrusion Detection






Security Datasets Project





Access Here: https://github.com/OTRF/Security-Datasets




Description: A community-driven initiative sharing security datasets for research.




Format: JSON, CSV




Update Frequency: Ongoing




Use Cases: Threat Intelligence






CIC-BCCC-NRC Tabular IoT Attack Dataset (2024)





Access Here: https://www.yorku.ca/research/bccc/ucs-technical/cybersecurity-datasets-cds/




Description: A comprehensive IoT network attack dataset for AI-based cybersecurity research.




Format: CSV




Update Frequency: Ongoing




Use Cases: IoT Security






Awesome Cybersecurity Datasets





Access Here: https://github.com/shramos/Awesome-Cybersecurity-Datasets




Description: A curated list of publicly available datasets for cybersecurity research.




Format: Varies




Update Frequency: Multiple




Use Cases: General Cybersecurity Research





ANISENSE  Datasets

This curated list provides open-source datasets focused on autonomous driving, AI security, and related research domains.





CarlaScenes Dataset





Access Here: https://github.com/CarlaScenes/CarlaSence




Description: Synthetic dataset for odometry in autonomous driving using the CARLA simulator.




Format: PNG, PLY, BAG




Update Frequency: Ongoing




Use Cases: Autonomous Driving, SLAM, Odometry, AI Security






Realistic Vehicle Trajectories using CARLA





Access Here: https://ieee-dataport.org/documents/realistic-vehicle-trajectories-and-driving-parameters-carla-autonomous-driving-simulator




Description: Realistic vehicle trajectories in CARLA’s simulated urban environments.




Format: CSV, JSON




Update Frequency: Ongoing




Use Cases: Autonomous Driving, Traffic Simulation, AI Security






KITTI Vision Benchmark Suite





Access Here: http://www.cvlibs.net/datasets/kitti/




Description: Comprehensive dataset for training ML models in stereo, odometry, 3D detection, and segmentation.




Format: PNG, BIN, TXT




Update Frequency: Ongoing




Use Cases: Autonomous Driving, 3D Object Detection, Semantic Segmentation






OUSTER Dataset





Access Here: https://ouster.com/downloads/sample-lidar-data




Description: LiDAR data captured by Ouster sensors for super-resolution and 3D mapping.




Format: Point Clouds




Update Frequency: Ongoing




Use Cases: LiDAR Super-Resolution, 3D Mapping, AI Security






SemanticPOSS





Access Here: http://www.poss.pku.edu.cn/




Description: LiDAR dataset with instance-level annotations for dynamic objects (pedestrians, riders, vehicles).




Format: PCD, PNG




Update Frequency: Static




Use Cases: 3D Semantic Segmentation, Autonomous Driving, AI Security