jaromiru / NASimEmu
Gym-based environment for training offensive RL agents. Agents can generalize to unseen scenarios and simulation-trained agents can be deployed in the emulation.
☆33Updated last month
Related projects ⓘ
Alternatives and complementary repositories for NASimEmu
- Deep RL agents for NASimEmu. See also https://github.com/jaromiru/NASimEmu.☆13Updated 3 months ago
- A PPO agent leveraging reinforcement learning performs Penetration Testing in a simulated computer network environment. The agent is trai…☆21Updated last year
- An Abstract Cyber Security Simulation and Markov Game for OpenAI Gym☆74Updated last year
- A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, …☆118Updated last month
- ☆51Updated last year
- YAWNING TITAN is an abstract, graph based cyber-security simulation environment that supports the training of intelligent agents for auto…☆58Updated 5 months ago
- An environment for testing AI pentesting agents against a simulated network.☆166Updated 8 months ago
- Cyber Operations Research Gym☆63Updated 5 months ago
- The TTCP CAGE Challenges are a series of public challenges instigated to foster the development of autonomous cyber defensive agents. Thi…☆41Updated 3 months ago
- PenGym: Pentesting Training Framework for Reinforcement Learning Agents☆22Updated last month
- TTCP CAGE Challenge 2☆46Updated 5 months ago
- A Simulated Optimal Intrusion Response Game☆21Updated 2 years ago
- Multi-Agent Reinforcement Learning on network-security☆16Updated 2 years ago
- ☆17Updated 2 years ago
- TTCP CAGE Challenge 3☆34Updated 7 months ago
- An environment simulation for networks security tasks for development and testing AI based agents. Part of AI Dojo project☆39Updated this week
- A logic-based enterprise network security analyzer☆108Updated last year
- AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning☆334Updated 2 years ago
- ARCD Primary-Level AI Training Environment (PrimAITE)☆17Updated 11 months ago
- A curated list of resources dedicated to reinforcement learning applied to cyber security.☆759Updated 2 weeks ago
- Modelling Capture-the-Flag Challenges Using Reinforcement Learning☆15Updated 2 years ago
- Malware Bypass Research using Reinforcement Learning☆102Updated 6 months ago
- ATLAS tactics, techniques, and case studies data☆49Updated last month
- ☆10Updated last year
- AI-enabled Cybersecurity for Future Smart Environments☆18Updated 3 months ago
- A collection of agents that use Large Language Models (LLMs) to perform tasks common on our day to day jobs in cyber security.☆55Updated 6 months ago
- "Linking Threat Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations for Cyb…☆87Updated 4 months ago
- SMET : Semantic Mapping of CVE to ATT&CK and its Application to Cybersecurity☆35Updated last month
- pretrained BERT model for cyber security text, learned CyberSecurity Knowledge☆158Updated last year
- An environment for testing AI agents against networks using Metasploit.☆37Updated last year