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

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    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.

    Original languageEnglish
    Pages (from-to)3242-3251
    Number of pages10
    JournalIEEE Transactions on Industrial Electronics
    Issue number5
    Early online date26 Feb 2016
    Publication statusPublished - May 2016


    • False data injection (FDI) attacks
    • networked control systems (NCSs)
    • network-induced delay
    • output tracking control
    • predictive control
    • stability analysis


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