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Acta Armamentarii ›› 2023, Vol. 44 ›› Issue (11): 3359-3368.doi: 10.12382/bgxb.2023.0169

Special Issue: 群体协同与自主技术

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An Approach for Reconstructing False Data Injection Attack Signal Based on Cooperative Interaction Observer

HUANG Xin1,*(), CHANG Chenxu1, LI Xiaohang2, SU Qingyu1   

  1. 1 School of Automation Engineering, Northeast Electric Power University, Jilin 132012, Jilin, China
    2 Department of General Information, Northern Information Control Research Institute Group Co., Ltd., Nanjing 211100, Jiangsu, China
  • Received:2023-03-03 Online:2023-09-01
  • Contact: HUANG Xin

Abstract:

For the false data injection attacks against sensor and actuator in cyber-physical systems, the reconstruction problem of the attack signals is studied by using the observer technique. It is difficult for a defender to directly use the estimation errors of the attack signals. As a result, more accurately reconstructed attack signals are obtained hardly. Therefore, a virtual auxiliary system containing the information of the estimated errors of attack signals is established with the help of the system input and output data, and then a cooperative interaction observer is constructed by using the cooperative interaction strategy. Through the cooperative interaction with the virtual auxiliary system, the observer uses the information of the estimated errors of attack signals to improve the reconstruction accuracy of the attack signals and obtains more accurate attack signals. It is proven by Lyapunov approach that the reconstructed attack signals can converge to a small set around real attack signals. Then, the effectiveness of the new scheme is demonstrated through numerical simulation.

Key words: cyber-physical system, false data injection attack, attack reconstruction, cooperative interaction observer

CLC Number: