Two-Channel False Data Injection Attacks Against Output Tracking Control of Networked Systems

Zhong-Hua Pang, Donghua Zhou, Fangyuan Hou, Dehui Sun, G-P Liu

    Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

    8 Wedi eu Llwytho i Lawr (Pure)

    Crynodeb

    This paper addresses the design problem of false data injection (FDI) attacks against the output tracking control of networked systems, where the network-induced delays in the feedback and forward channels are considered. The main contributions of this paper are as follows. 1) To actively compensate for the two-channel network-induced delays, a Kalman filter-based networked predictive control scheme is designed for stochastic linear discrete-time systems. 2) From an attacker's perspective, stealthy FDI attacks are proposed for both the feedback and forward channels so as to disrupt the stability of the resulting closed-loop system while avoiding the detection of a Kalman filter-based attack detector. 3) Both numerical simulations and practical experiments are carried out to show the effectiveness of the proposed method.

    Iaith wreiddiolSaesneg
    Tudalennau (o-i)3242-3251
    Nifer y tudalennau10
    CyfnodolynIEEE Transactions on Industrial Electronics
    Cyfrol63
    Rhif cyhoeddi5
    Dyddiad ar-lein cynnar26 Chwef 2016
    Dynodwyr Gwrthrych Digidol (DOIs)
    StatwsCyhoeddwyd - Mai 2016

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