CybORG++: An Enhanced Gym for the Development of Autonomous Cyber Agents
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866929553930190848 |
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| author | Emerson, Harry Bates, Liz Hicks, Chris Mavroudis, Vasilios |
| author_facet | Emerson, Harry Bates, Liz Hicks, Chris Mavroudis, Vasilios |
| contents | CybORG++ is an advanced toolkit for reinforcement learning research focused on network defence. Building on the CAGE 2 CybORG environment, it introduces key improvements, including enhanced debugging capabilities, refined agent implementation support, and a streamlined environment that enables faster training and easier customisation. Along with addressing several software bugs from its predecessor, CybORG++ introduces MiniCAGE, a lightweight version of CAGE 2, which improves performance dramatically, up to 1000x faster execution in parallel iterations, without sacrificing accuracy or core functionality. CybORG++ serves as a robust platform for developing and evaluating defensive agents, making it a valuable resource for advancing enterprise network defence research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_16324 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | CybORG++: An Enhanced Gym for the Development of Autonomous Cyber Agents Emerson, Harry Bates, Liz Hicks, Chris Mavroudis, Vasilios Cryptography and Security Artificial Intelligence CybORG++ is an advanced toolkit for reinforcement learning research focused on network defence. Building on the CAGE 2 CybORG environment, it introduces key improvements, including enhanced debugging capabilities, refined agent implementation support, and a streamlined environment that enables faster training and easier customisation. Along with addressing several software bugs from its predecessor, CybORG++ introduces MiniCAGE, a lightweight version of CAGE 2, which improves performance dramatically, up to 1000x faster execution in parallel iterations, without sacrificing accuracy or core functionality. CybORG++ serves as a robust platform for developing and evaluating defensive agents, making it a valuable resource for advancing enterprise network defence research. |
| title | CybORG++: An Enhanced Gym for the Development of Autonomous Cyber Agents |
| topic | Cryptography and Security Artificial Intelligence |
| url | https://arxiv.org/abs/2410.16324 |