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    A multi-channel transmission schedule for remote state estimation under DoS attacks


    Ding, Kemi and Li, Yuzhe and Quevedo, Daniel E. and Dey, Subhrakanti (2017) A multi-channel transmission schedule for remote state estimation under DoS attacks. Automatica, 78. pp. 194-201. ISSN 0005-1098

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    Abstract

    This paper considers a cyber-physical system (CPS) under denial-of-service (DoS) attacks. The measurements of a sensor are transmitted to a remote estimator over a multi-channel network, which may be congested by a malicious attacker. Among these multiple communication paths with different characteristics and properties at each time step, the sensor needs to choose a single channel for sending data packets while reducing the probability of being attacked. In the meanwhile, the attacker needs to decide the target channel to jam under an energy budget constraint. To model this interactive decision-making process between the two sides, we formulate a two-player zero-sum stochastic game framework. A Nash Q-learning algorithm is proposed to tackle the computation complexity when solving the optimal strategies for both players. Numerical examples are provided to illustrate the obtained results.

    Item Type: Article
    Keywords: Kalman filtering; Multi-channel networks; State estimation; DoS attack; Markov game; Dropout; Power control;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 11462
    Identification Number: https://doi.org/10.1016/j.automatica.2016.12.020
    Depositing User: Subhrakanti Dey
    Date Deposited: 24 Oct 2019 13:34
    Journal or Publication Title: Automatica
    Publisher: Elsevier
    Refereed: Yes
    URI:

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