Secure State Estimation With Byzantine Sensors : A Probabilistic Approach

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Xiaoqiang Ren
  • Yilin Mo
  • Jie Chen
  • Karl Henrik Johansson

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number9044408
Pages (from-to)3742-3757
Journal / PublicationIEEE Transactions on Automatic Control
Volume65
Issue number9
Online published23 Mar 2020
Publication statusPublished - Sep 2020

Abstract

This article studies static state estimation in multisensor settings, with a caveat that an unknown subset of the sensors are compromised by an adversary, whose measurements can be manipulated arbitrarily. The attacker is able to compromise q out of m sensors. A new performance metric, which quantifies the asymptotic decay rate for the probability of having an estimation error larger than δ, is proposed. We develop an optimal estimator for the new performance metric with a fixed δ, which is the Chebyshev center of a union of ellipsoids. We further provide an estimator that is optimal for every δ, for the special case where the sensors are homogeneous. Numerical examples are given to elaborate the results.

Research Area(s)

  • Byzantine attacks, large deviation, secure estimation, security

Citation Format(s)

Secure State Estimation With Byzantine Sensors : A Probabilistic Approach. / Ren, Xiaoqiang; Mo, Yilin; Chen, Jie; Johansson, Karl Henrik.

In: IEEE Transactions on Automatic Control, Vol. 65, No. 9, 9044408, 09.2020, p. 3742-3757.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review