干扰
信息物理系统
计算机科学
对手
物理层
估计员
块(置换群论)
无线传感器网络
传输(电信)
计算机网络
无线
计算机安全
国家(计算机科学)
模型攻击
实时计算
电信
算法
数学
统计
物理
几何学
热力学
操作系统
作者
Yanpeng Guan,Xiaohua Ge
出处
期刊:IEEE Transactions on Signal and Information Processing over Networks
日期:2018-03-01
卷期号:4 (1): 48-59
被引量:238
标识
DOI:10.1109/tsipn.2017.2749959
摘要
This paper is concerned with the problem of joint distributed attack detection and distributed secure estimation for a networked cyber-physical system under physical and cyber attacks. The system is monitored by a wireless sensor network, in which a group of sensors is spatially distributed and the sensors' measurements are broadcast to remote estimators via a wireless network medium. A malicious adversary simultaneously launches a false data injection attack at the physical system layer to intentionally modify the system's state and jamming attacks at the cyber layer to block the wireless transmission channels between sensors and remote estimators. The sensors' measurements can be randomly dropped with mathematical probability if the corresponding transmission channels are deliberately jammed by the adversary. Resilient attack detection estimators are delicately constructed to provide locally reliable state estimations and detect the false data injection attack. Then, criteria for analyzing the estimation performance and designing the desired estimators are derived to guarantee the solvability of the problem. Finally, the effectiveness of the proposed approach is shown through an illustrative example.
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