Towards a High Fidelity Training Environment for Autonomous Cyber Defense Agents

Author:

Oesch Sean1ORCID,Chaulagain Amul1ORCID,Weber Brian1ORCID,Dixson Matthew1ORCID,Sadovnik Amir1ORCID,Roberson Benjamin1ORCID,Watson Cory1ORCID,Austria Phillipe1ORCID

Affiliation:

1. Oak Ridge National Laboratory, USA

Publisher

ACM

Reference21 articles.

1. Elizabeth Bates, Vasilios Mavroudis, and Chris Hicks. 2023. Reward Shaping for Happier Autonomous Cyber Security Agents. arXiv preprint arXiv:2310.13565 (2023).

2. CAGE (Ed.). 2022. TTCP CAGE Challenge 2.

3. Ashutosh Dutta, Samrat Chatterjee, Arnab Bhattacharya, and Mahantesh Halappanavar. 2023. Deep Reinforcement Learning for Cyber System Defense under Dynamic Adversarial Uncertainties. arXiv preprint arXiv:2302.01595 (2023).

4. Kasimir Georg Gabert, Adam Vail, Tan Q. Thai, Ian Burns, Michael J. McDonald, Steven Elliott, John Vivian Montoya, Jenna Marie Kallaher, and Stephen T. Jones. 2015. Firewheel - A Platform for Cyber Analysis. (11 2015). https://www.osti.gov/biblio/1333803

5. Finding Effective Security Strategies through Reinforcement Learning and Self-Play

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