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Security Metrics for Control Systems
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.ORCID iD: 0000-0001-5491-4068
2021 (English)In: Safety, Security and Privacy for Cyber-Physical Systems / [ed] Ferrari, Riccardo M.G.; Teixeira, André M. H., Springer, 2021, p. 99-121Chapter in book (Other academic)
Abstract [en]

In this chapter, we consider stealthy cyber- and physical attacks against control systems, where malicious adversaries aim at maximizing the impact on control performance, while simultaneously remaining undetected. As an initial goal, we develop security-related metrics to quantify the impact of stealthy attacks on the system. The key novelty of these metrics is that they jointly consider impact and detectability of attacks, unlike classical sensitivity metrics in robust control and fault detection. The final objective of this work is to use such metrics to guide the design of optimal resilient controllers and detectors against stealthy attacks, akin to the classical design of optimal robust controllers. We report preliminary investigations on the design of resilient observer-based controllers and detectors, which are supported and illustrated through numerical examples.

Place, publisher, year, edition, pages
Springer, 2021. p. 99-121
Series
Lecture Notes in Control and Information Sciences ; 486
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:uu:diva-448224DOI: 10.1007/978-3-030-65048-3_6ISBN: 978-3-030-65047-6 (print)ISBN: 978-3-030-65048-3 (electronic)OAI: oai:DiVA.org:uu-448224DiVA, id: diva2:1791371
Available from: 2023-08-25 Created: 2023-08-25 Last updated: 2023-10-31Bibliographically approved

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Teixeira, André M. H.

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