Resilient state estimation against switching attacks on stochastic cyber-physical systems

Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    44 Scopus citations

    Abstract

    In this paper, we address the resilient state estimation problem for some relatively unexplored security issues for cyber-physical systems, namely switching attacks and the presence of stochastic process and measurement noise signals, in addition to attacks on actuator and sensor signals. We model the systems under attack as hidden mode stochastic switched linear systems with unknown inputs and propose the use of the multiple model inference algorithm developed in [1] to tackle these issues. We also furnish the algorithm with the lacking asymptotic analysis. Moreover, we characterize fundamental limitations to resilient estimation (e.g., upper bound on the number of tolerable attacks) and discuss the issue of attack detection under this framework. Simulation examples of switching attacks on benchmark and power systems show the efficacy of our approach to recover unbiased state estimates.

    Original languageEnglish (US)
    Title of host publication54rd IEEE Conference on Decision and Control,CDC 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages5162-5169
    Number of pages8
    ISBN (Electronic)9781479978861
    DOIs
    StatePublished - Feb 8 2015
    Event54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan
    Duration: Dec 15 2015Dec 18 2015

    Publication series

    NameProceedings of the IEEE Conference on Decision and Control
    Volume54rd IEEE Conference on Decision and Control,CDC 2015
    ISSN (Print)0743-1546

    Other

    Other54th IEEE Conference on Decision and Control, CDC 2015
    CountryJapan
    CityOsaka
    Period12/15/1512/18/15

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Modeling and Simulation
    • Control and Optimization

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