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Learning Intrusion Response Strategies for OT Systems

arxiv.org/abs/2609.10298

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Updated 2 h ago · first seen 11 Sept 2026

paper_01M294GNE4H20KV50EFNX8T4Q5

Published
11 Sept 2026
T1 · 2 h ago
arXiv
2609.10298
T1 · 2 h ago
Category
cs.CR
T1 · 2 h ago

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Abstractabstract1

Claim history for Abstract
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Cyberattacks against Operational Technology (OT) systems, which monitor and control industrial processes, pose an increasing threat to essential societal services. For this reason, developing automated intrusion response strategies is highly important. In this paper, we present a formal model of an OT intrusion response use case using the POMDP framework. It includes a realistic model of partial observability that is based on traffic measurements. This approach allows us to develop tractable, learning-based solution methods for automated intrusion response, which are based on PPO. We evaluate the obtained response strategies on an emulated OT system and find that they are effective against several types of MITRE attacks for the studied use case.currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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