详细信息
Watermarking-Based Protection Strategy Against Stealthy Integrity Attack on Distributed State Estimation ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Watermarking-Based Protection Strategy Against Stealthy Integrity Attack on Distributed State Estimation
作者:Zhou, Jiayu[1];Yang, Wen[1];Ding, Wenjie[1];Zheng, Wei Xing[2];Xu, Yong[3]
机构:[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Shanghai 200237, Peoples R China;[2]Western Sydney Univ, Sch Comp, Data & Math Sci, Sydney, NSW 2751, Australia;[3]Guangdong Univ Technol, Sch Automat, Prov Key Lab Intelligent Decis & Cooperat Control, Guangzhou 510006, Peoples R China
年份:2023
卷号:68
期号:1
起止页码:628
外文期刊名:IEEE TRANSACTIONS ON AUTOMATIC CONTROL
收录:;EI(收录号:20221912091575);WOS:【SCI-EXPANDED(收录号:WOS:000921346300060)】;
基金:This work was supported in part by the National Natural Science Foundation of China under Grant 62122026, Grant 61973123, and Grant 62121004, in part by the NSW Cyber Security Network in Australia under Grant P00025091, in part by the projects sponsored by the Programme of Introducing Talents of Discipline to Universities (the 111 Project) under Grant B17017, and in part by the Shuguang Program supported by Shanghai Education Development Foundation and Shanghai Municipal Education Commission the Fundamental Research Funds for the Central Universities.
语种:英文
外文关键词:Data integrity attacks; distributed state estimation; security; watermarking
摘要:This article studies the security of distributed state estimation under data integrity attacks. Each sensor is equipped with a Kullback-Leibler (K-L) divergence detector to diagnose the authenticity of the received data. A necessary and sufficient condition for the insecurity of the distributed estimator is derived, in which the stealthy attack can evade the detector and degrade the estimation performance. Furthermore, an algorithm is proposed to generate stealthy attack sequences. To overcome the vulnerability, a data transmission strategy based on watermarking is proposed. The effect of the watermarking parameters on the attack in different scenarios is subsequently analyzed. It is proved that the K-L divergence detector can effectively distinguish the stealthy attack with the help of the proposed strategy, thereby ensuring the security of the distributed state estimator. Compared with traditional encryption mechanisms, the proposed strategy neither increases the computational complexity nor sacrifices the estimation performance in the absence of attacks. A simulation example is presented to demonstrate the effectiveness of the developed approach.
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