计算机科学
信息物理系统
估计员
约束(计算机辅助设计)
协方差
国家(计算机科学)
探测器
模型攻击
数学优化
实时计算
工程类
计算机安全
算法
数学
电信
机械工程
统计
操作系统
作者
Dan Ye,Bing Yang,Tianyu Zhang
出处
期刊:IEEE Systems Journal
[Institute of Electrical and Electronics Engineers]
日期:2022-03-01
卷期号:16 (1): 1499-1507
被引量:9
标识
DOI:10.1109/jsyst.2021.3063735
摘要
In this article, the innovation-based linear attack against state estimation in cyber-physical systems is studied. The scenario is considered where a sensor transmits its measurements to a remote estimator via a wireless channel. We propose an attack strategy to worsen the estimation performance of system when a passive detector is adopted. Different from the existing results, the side information is adopted synergistically besides the intercepted data. Meanwhile, the attacker needs to remain stealthy to the false-data detector. We analyze the performance degradation of system under the proposed attack strategy by deriving the remote estimation error covariance recursion. With the stealthiness constraint, the optimal stealthy attack can be obtained by solving a convex optimization problem accordingly. Besides, we provide a specific algorithm to calculate the falsified measurements. Finally, the effectiveness of explored attack strategy is demonstrated via simulation examples.
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