False Data Injection(FDI) attack has been well studied in recent years. Due to its stealthiness and the possible severe damage to the attacked system, defense strategies against FDI attack are one of the most important research directions. Coding matrix method has been proposed several years ago which introduces a coding matrix to sensor outputs so that stealthy attack can be detected. However, its application to quantized systems has never been studied. In this paper, we consider the FDI detection strategy and its application to the formation control problem of quantized unmanned aerial vehicles(UAV) systems, where sensor outputs are transmitted via communication channels equipped with quantizers. The quantization process in the system has enforced different requirements to the design of coding matrix, and we have proposed sufficient conditions of effective coding matrix design under this condition. Simulation results have also proved the feasibility of our method in the detection of FDI attack.


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    Title :

    FDI attack detection for formation control of quantized UAV systems by coding sensor outputs


    Contributors:
    Liu, Lin (author) / Wu, Hanyuan (author) / Xi, Zhiyu (author) / Cui, Yucheng (author)


    Publication date :

    2020-09-01


    Size :

    1368700 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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