Energy-Constrained Optimal Stealthy Attack Against State Estimation With Multichannel Protocol

• 成果类型: Article
• 署名作者: Mao, Dancheng; Niu, Yugang; Xu, Kun
• 署名单位: East China University of Science & Technology
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2025.3558413
• 发表日期: 2025
• 页码: 6245-6252
• 关键词: Protocols; Channel estimation; Technological innovation; estimation; State estimation; Intelligent sensors; optimization; Kalman filters; Covariance matrices; regulation; cyber-physical systems (CPSs); energy constraint; remote state estimation; Round-Robin protocol (RRP); stealthy deception attacks

摘要

Research on attack design provides a reference for attack defense. To this end, this work considers the design problem of an optimal energy-constrained stealthy attack strategy orienting remote estimation. The signals from smart sensors to remote estimators are scheduled via an extended Round-Robin protocol, which sends data through each channel in a specific order, and allows more than one channel to be transitable at each instant. To achieve the optimal attack strategy that can maximize the impact on estimation performance, a new attack model with the constraints of stealthiness and energy limitations is constructed. Furthermore, an equivalent two-step optimization problem is suggested to obtain the optimal attack matrix and optimal attack scheduling, respectively. Finally, the optimality and stealthiness of the proposed energy-constrained attack strategy are verified via simulation results.