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Resilience estimation of Cyber-Physical Systems via quantitative metrics

Abstract : This paper is about the estimation of the cyber-resilience of CPS. We define two new resilience estimation metrics: k-steerability and l -monitorability. They aim at assisting designers to evaluate and increase the cyber-resilience of CPS when facing stealthy attacks. The k-steerability metric reflects the ability of a controller to act on individual plant state variables when, at least, k different groups of functionally diverse input signals may be processed. The l -monitorability metric indicates the ability of a controller to monitor individual plant state variables with l different groups of functionally diverse outputs. Paired together, the metrics lead to CPS reaching (k, l )-resilience. When k and l are both greater than one, a CPS can absorb and adapt to control-theoretic attacks manipulating input and output signals. We also relate the parameters k and l to the recoverability of a system. We define recoverability strategies to mitigate the impact of perpetrated attacks. We show that the values of k and l can be augmented by combining redundancy and diversity in hardware and software, in order to apply the moving target paradigm. We validate the approach via simulation and numeric results.
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https://hal.archives-ouvertes.fr/hal-03626725
Contributor : Romain DAGNAS Connect in order to contact the contributor
Submitted on : Thursday, March 31, 2022 - 5:15:53 PM
Last modification on : Tuesday, October 18, 2022 - 8:34:05 AM

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Distributed under a Creative Commons Attribution 4.0 International License

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Michel Barbeau, Frederic Cuppens, Nora Cuppens, Romain Dagnas, Joaquin Garcia‐alfaro. Resilience estimation of Cyber-Physical Systems via quantitative metrics. IEEE Access, 2021, 9, pp.46462-46475. ⟨10.1109/ACCESS.2021.3066108⟩. ⟨hal-03626725⟩

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