文献类型：期刊文献

英文题名：Security Analysis of Replay Attacks on Partial Channels in Centralized Remote Estimation Systems

作者：Huang, Jiahao[1]; Sun, Qiyu[2]; Xu, Jing[2]; Tang, Yang[2]

机构：[1] School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou, 310023, China; [2] East China University of Science and Technology, State Key Laboratory of Industrial Control Technology, Shanghai, 200237, China

年份：2025

起止页码：14

外文期刊名：Conference on Control and Fault-Tolerant Systems, SysTol

收录：EI(收录号：20260820104668)

语种：英文

外文关键词：Lyapunov methods - Network security

摘要：This work studies the security of multi-sensor centralized remote estimation under replay attacks launched on partial wireless channels. We consider an adversary with limited attack resources and only partial knowledge of the system dynamics, who aims to compromise sensor measurements by replaying previously observed data. To evaluate both the stealthiness of the attack and its impact on estimation performance, we adopt two key metrics: the Kullback-Leibler (K-L) and the estimation error covariance. Our analysis reveals that the system's resilience to such attacks fundamentally depends on the stability of the state matrix. Specifically, when the system is stable, both the K-L divergence and the estimation error covariance converge to steady-state values characterized by two coupled Lyapunov equations. In contrast, if the state matrix is unstable, these metrics grow unbounded over time under replay attacks. Finally, a simulation example is provided to validate the theoretical results and demonstrate the practical implications of partial-channel replay attacks in remote estimation systems. ? 2025 IEEE.