文献类型：期刊文献

英文题名：An Optimal Hybrid Fake-Acknowledgment Attack Strategy on State Estimation With Energy Constraint

作者：Li, Yao[1,2];Zhang, Jiaxin[1];Wang, Xiaolin[2,3];Guan, Xinping[4]

机构：[1]Shanghai Univ, Sch Future Technol, Shanghai 200444, Peoples R China;[2]Minist Educ, Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China;[3]East China Univ Sci & Technol, Dept Math, Shanghai 200237, Peoples R China;[4]Shanghai Jiao Tong Univ, Sch Automat & Intelligent Sensing, Shanghai 200240, Peoples R China

年份：2025

卷号：32

起止页码：3804

外文期刊名：IEEE SIGNAL PROCESSING LETTERS

收录：;EI(收录号：20253719165359);WOS:【SCI-EXPANDED(收录号:WOS:001591655000002)】；

基金：This work was supported in part by the National Natural Science Foundationof China under Grant 62303298 and Grant 62303185, and in part by Shanghai Sailing Program under Grant 23YF1409500.

语种：英文

外文关键词：Schedules; Training; Steady-state; State estimation; Kalman filters; Information processing; Hybrid power systems; Data mining; Convergence; Control systems; sensor networks; fake-acknowledgment attack

摘要：Security issues of cyber-physical systems have attracted more and more attentions these years. In this letter, we investigate an energy-constrained optimal hybrid fake-acknowledge attack strategy on state estimation over infinite-time domain, where an attacker will choose certain time instants to generate or block (denoted as Phase I and Phase II, respectively) the feedback flag-acknowledgment (ACK) signals based on a given sensory transmission schedule (STS). We first provide an explicit threshold form of the optimal STS under power constraint. Based on this, the optimal attack strategy for Phase I is presented and proved to satisfy a threshold form. We continue to discuss the optimal state distribution at the threshold, which contributes as a bridge to link these two phases, and consequently derive out the optimal attack strategy for Phase II. Moreover, the condition of convergence is also analytically provided. Comparisons with other feasible schedules are accomplished to verify the correctness and effectiveness of our proposed results.