文献类型：期刊文献

英文题名：A Resilient Distributed Kalman Filtering Under Bidirectional Stealthy Attack

作者：Ding, Wenjie[1];Yang, Wen[1];Yang, Chao[1];Ren, Xiaoqiang[2];Wang, Xiaofan[2,3]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Shanghai 200237, Peoples R China;[2]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200444, Peoples R China;[3]Shanghai Inst Technol, Sch Elect & Elect Engn, Shanghai 201418, Peoples R China

年份：2024

卷号：31

起止页码：356

外文期刊名：IEEE SIGNAL PROCESSING LETTERS

收录：;EI(收录号：20240415431477);WOS:【SCI-EXPANDED(收录号:WOS:001166563800005)】；

基金：No Statement Available

语种：英文

外文关键词：Attack detection; bidirectional communication; distributed Kalman filtering; false data injection attack

摘要：False data injection attacks are widely investigated to exploit the cyber-vulnerability of Cyber-Physical System. However, the existing attack policies only consider the cyber-vulnerability in the one-way communication channel. In this letter, a bidirectional stealthy false data injection attack is proposed to bypass the hostile data detector and degrade the estimation performance in the distributed Kalman filtering system. The stealthiness and the influence of the bidirectional stealthy attack is demonstrated by the theoretical analysis. Furthermore, the alternate transmission protocol is proposed to prevent the bidirectional stealthy attack policy. To remedy the protocol and improve the detection sensitivity, an attack detector with multiple factors is proposed. Besides, the choosing principle of the detection factors is analyzed. Simulation examples are presented to investigate the bidirectional stealthy attack and the developed estimator.