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Analysis and Mitigation of Bias Injection Attacks Against a Kalman Filter
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-2045-5665
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-1835-2963
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
2017 (English)In: IFAC-PapersOnLine, E-ISSN 2405-8963, Vol. 50, no 1, p. 8393-8398Article in journal (Refereed) Published
Abstract [en]

In this paper, we consider a state estimation problem for stochastic linear dynamical systems in the presence of bias injection attacks. A Kalman filter is used as an estimator, and a chi-squared test is used to detect anomalies. We first show that the impact of the worst-case bias injection attack in a stochastic setting can be analyzed by a deterministic quadratically constrained quadratic program, which has an analytical solution. Based on this result, we propose a criterion for selecting sensors to secure in order to mitigate the attack impact. Furthermore, we derive a condition on the necessary number of sensors to secure in order for the impact to be less than a desired threshold.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 50, no 1, p. 8393-8398
Keywords [en]
Cyber-Attacks, Cyber-Physical Systems, Cyber-Security
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-223059DOI: 10.1016/j.ifacol.2017.08.1564ISI: 000423964900388Scopus ID: 2-s2.0-85031794404OAI: oai:DiVA.org:kth-223059DiVA, id: diva2:1182464
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Knut and Alice Wallenberg FoundationSwedish Foundation for Strategic Research Swedish Research Council
Note

QC 20180213

Available from: 2018-02-13 Created: 2018-02-13 Last updated: 2024-03-18Bibliographically approved

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Milosevic, JezdimirTanaka, TakashiSandberg, HenrikJohansson, Karl Henrik

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