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Markov Decision Process For Automatic Cyber Defense. (arXiv:2207.05436v2 [cs.CR] UPDATED)
July 14, 2022, 1:20 a.m. | Xiaofan Zhou, Simon Yusuf Enoch, Dong Seong Kim
cs.CR updates on arXiv.org arxiv.org
It is challenging for a security analyst to detect or defend against
cyber-attacks. Moreover, traditional defense deployment methods require the
security analyst to manually enforce the defenses in the presence of
uncertainties about the defense to deploy. As a result, it is essential to
develop an automated and resilient defense deployment mechanism to thwart the
new generation of attacks. In this paper, we propose a framework based on
Markov Decision Process (MDP) and Q-learning to automatically generate optimal
defense solutions …
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