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Secure Static State Estimation: A Large Deviation Approach
KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control. KTH, School of Electrical Engineering and Computer Science (EECS), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering and Computer Science (EECS), Centres, ACCESS Linnaeus Centre. KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control.ORCID iD: 0000-0001-9940-5929
2018 (English)In: IFAC-PapersOnLine, E-ISSN 2405-8963, Vol. 51, no 23, p. 289-294Article in journal (Refereed) Published
Abstract [en]

This paper studies static state estimation based on measurements from a set of sensors, a subset of which can be compromised by an attacker. The measurements from a compromised sensor can be manipulated arbitrarily by the adversary. A new notion is adopted to indicate the performance of an estimator, that is, the asymptotic exponential rate, with which the worst-case probability of estimate lying outside certain ball centered at the true underlying state goes to zero. An optimal estimator, which computes Chebyshev centers and only utilizes the information contained in the averaged measurements, is proposed. Numerical examples are given to elaborate the results.

Place, publisher, year, edition, pages
Elsevier B.V. , 2018. Vol. 51, no 23, p. 289-294
Keywords [en]
Byzantine sensors, Large deviation, Secure, State estimation, Chebyshev center, Exponential rates, Large deviations, Optimal estimator, Set of sensors
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-247447DOI: 10.1016/j.ifacol.2018.12.050Scopus ID: 2-s2.0-85058466647OAI: oai:DiVA.org:kth-247447DiVA, id: diva2:1305687
Note

QC 20190418

Available from: 2019-04-18 Created: 2019-04-18 Last updated: 2019-05-20Bibliographically approved

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Ren, XiaoqiangJohansson, Karl H.

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