Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain

Reinforcement learning (RL) operating on attack graphs leveraging cyber terrain principles are used to develop reward and state associated with determination of surveillance detection routes (SDR). This work extends previous efforts on developing RL methods for path analysis within enterprise networ...

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Veröffentlicht in:	arXiv.org 2022-11
Hauptverfasser:	Huang, Lanxiao, Tyler, Cody, Redino, Christopher, Rahman, Abdul, Kakkar, Akshay, Kushwaha, Deepak, Wang, Cheng, Clark, Ryan, Radke, Daniel, Beling, Peter, Bowen, Edward
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Graphs Learning Surveillance Terrain
Online-Zugang:	Volltext
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