Whole Campaign Emulation with Reinforcement Learning for Cyber Test

Author:

Cody Tyler1,Meno Emma1,Beling Peter1,Freeman Laura2

Affiliation:

1. Virginia Tech National Security Institute,Intelligent Systems Division,Arlington,Virginia,USA

2. Virginia Tech National Security Institute,Arlington,Virginia,USA

Funder

U.S. Department of Defense

Systems Engineering Research Center

Stevens Institute of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation,General Medicine

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Lessons learned in designing a cyber reinforcement learning competition;Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI;2024-06-07

2. On the role of loss-driven systems analysis in assessing AI ethics;Assurance and Security for AI-enabled Systems;2024-06-07

3. A systems theoretic perspective on open architectures for learning systems;Disruptive Technologies in Information Sciences VIII;2024-06-06

4. Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning;SoutheastCon 2024;2024-03-15

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