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Consequence Analysis of Innovation-based Integrity Attacks with Side Information on Remote State Estimation
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, ISSN 2405-8963, Vol. 50, no 1, p. 8399-8404Article in journal (Refereed) Published
Abstract [en]

In this work, we study the worst-case consequence of innovation-based integrity attacks with side information in a remote state estimation scenario. A new type of linear attack strategy based on both intercepted and sensing data is proposed and a corresponding stealthiness constraint is characterized. The evolution of the remote estimation error covariance is derived in the presence of the proposed malicious attack, based on which the worst-case attack policy is obtained in closed form. Furthermore, the system estimation performance under the proposed attack is compared with that under the existing attack strategy to determine which attack is more critical in deteriorating system functionality. Simulation examples are provided to illustrate the developed results.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 50, no 1, p. 8399-8404
Keywords [en]
Cyber-Physical System Security, Integrity Attack, Remote State Estimation
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-223058DOI: 10.1016/j.ifacol.2017.08.1566ISI: 000423964900389Scopus ID: 2-s2.0-85031798039OAI: oai:DiVA.org:kth-223058DiVA, id: diva2:1182687
Funder
Knut and Alice Wallenberg FoundationSwedish Research Council
Note

QC 20180214

Available from: 2018-02-14 Created: 2018-02-14 Last updated: 2018-03-05Bibliographically approved

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CiteExportLink to record
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  • apa
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