2023
DOI: 10.1049/cps2.12078
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Detecting covert channel attacks on cyber‐physical systems

Hongwei Li,
Danai Chasaki

Abstract: Cyberattacks on cyber‐physical systems (CPS) have the potential to cause widespread disruption and affect the safety of millions of people. Machine learning can be an effective tool for detecting attacks on CPS, including the most stealthy types of attacks, known as covert channel attacks. In this study, the authors describe a novel hierarchical ensemble architecture for detecting covert channel attacks in CPS. Our proposed approach uses a combination of TCP payload entropy and network flows for feature engine… Show more

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