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Security Analysis of Control System Anomaly Detectors
KTH, School of Electrical Engineering (EES), Automatic Control.
Univ Texas Dallas, Erik Jonsson Sch Engn, Dept Comp Sci, Richardson, TX 75080 USA..
2017 (English)In: 2017 AMERICAN CONTROL CONFERENCE (ACC), IEEE , 2017, p. 5500-5506Conference paper, Published paper (Refereed)
Abstract [en]

Two anomaly detectors for control systems are analyzed with respect to their sensitivity to malicious data injection attacks. A stateless anomaly detector based on the current residual signal is compared to a cumulative sum detector. The worst-case impact of a stealthy time-limited data injection attack is characterized for both detectors by a non-convex optimization problem and compared to determine which detector limits the impact the most. We prove that the problem can be solved by means of a set of convex optimization problems. Simulations verify that finding the right configuration for the cumulative sum is crucial to limit the worst-case attack impact more than with a stateless anomaly detector.

Place, publisher, year, edition, pages
IEEE , 2017. p. 5500-5506
Series
Proceedings of the American Control Conference, ISSN 0743-1619
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-225797ISI: 000427033305092ISBN: 978-1-5090-5992-8 OAI: oai:DiVA.org:kth-225797DiVA, id: diva2:1196318
Conference
American Control Conference (ACC), MAY 24-26, 2017, Seattle, WA
Funder
Swedish Research Council, 2013-5523
Note

QC 20180409

Available from: 2018-04-09 Created: 2018-04-09 Last updated: 2018-04-09Bibliographically approved

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Sandberg, Henrik

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