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Stealthy Cyber-Attack Design Using Dynamic Programming
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Signals and 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: 2021 60th IEEE Conference On Decision And Control (CDC), Institute of Electrical and Electronics Engineers (IEEE), 2021, p. 3474-3479Conference paper, Published paper (Refereed)
Abstract [en]

This paper addresses the issue of data injection attacks on control systems. We consider attacks which aim at maximizing system disruption while staying undetected in the finite horizon. The maximum possible disruption caused by such attacks is formulated as a non-convex optimization problem whose dual problem is a convex semi-definite program. We show that the duality gap is zero using S-lemma. To determine the optimal attack vector, we formulate a soft-constrained optimization problem using the Lagrangian dual function. The framework of dynamic programming for indefinite cost functions is used to solve the soft-constrained optimization problem and determine the attack vector. Using the Karush-Kuhn-Tucker conditions, we also provide necessary and sufficient conditions under which the obtained attack vector is optimal to the primal problem. Finally, we illustrate the results through numerical examples.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2021. p. 3474-3479
Series
IEEE Conference on Decision and Control, ISSN 0743-1546
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:uu:diva-475320DOI: 10.1109/CDC45484.2021.9683451ISI: 000781990303014ISBN: 978-1-6654-3659-5 (electronic)OAI: oai:DiVA.org:uu-475320DiVA, id: diva2:1663204
Conference
60th IEEE Conference on Decision and Control (CDC), DEC 13-17, 2021, ELECTR NETWORK
Funder
Swedish Research Council, 2018-04396Swedish Foundation for Strategic ResearchAvailable from: 2022-06-02 Created: 2022-06-02 Last updated: 2023-09-26Bibliographically approved

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Coimbatore Anand, SribalajiTeixeira, André M. H.

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