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    Information Bounds for State Estimation in the Presence of an Eavesdropper


    Leong, Alex S., Quevedo, Daniel E., Dolz, Daniel and Dey, Subhrakanti (2019) Information Bounds for State Estimation in the Presence of an Eavesdropper. IEEE Control Systems Letters, 3 (3). pp. 547-552. ISSN 2475-1456

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    Abstract

    Remote state estimation problems in the presence of eavesdroppers have recently been investigated in the literature. For unstable systems, it has been shown that it is possible to keep the expected estimation error covariance bounded, while the expected eavesdropper error covariance becomes unbounded in the infinite horizon. In this note, we consider an alternative notion of security based on the amount of information revealed to the eavesdropper. Upper and lower bounds on the information revealed are derived. In particular, in the infinite horizon, it is shown that with unstable systems, any transmission policy (within the class of stationary deterministic policies where the sensor at each time step can either transmit its local state estimate or not) which keeps the expected estimation error covariance bounded must always reveal a non-zero expected amount of information to the eavesdropper.
    Item Type: Article
    Additional Information: Cite as: A. S. Leong, D. E. Quevedo, D. Dolz and S. Dey, "Information Bounds for State Estimation in the Presence of an Eavesdropper," in IEEE Control Systems Letters, vol. 3, no. 3, pp. 547-552, July 2019, doi: 10.1109/LCSYS.2019.2912262.
    Keywords: Directed information; eavesdropping; security; state estimation;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Faculty of Science and Engineering > Electronic Engineering
    Item ID: 14078
    Identification Number: 10.1109/LCSYS.2019.2912262
    Depositing User: Subhrakanti Dey
    Date Deposited: 25 Feb 2021 14:34
    Journal or Publication Title: IEEE Control Systems Letters
    Publisher: IEEE
    Refereed: Yes
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/14078
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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