信息物理系统
对手
计算机科学
事件(粒子物理)
计算机安全
传输(电信)
机制(生物学)
财产(哲学)
控制(管理)
停留时间
分布式计算
人工智能
电信
临床心理学
医学
认识论
操作系统
物理
哲学
量子力学
作者
Hao Liu,Shaodong Wang,Yuzhe Li
出处
期刊:IEEE transactions on systems, man, and cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2022-10-01
卷期号:52 (10): 6305-6313
被引量:8
标识
DOI:10.1109/tsmc.2022.3144337
摘要
This article studies the attack detection problem of cyber–physical systems (CPSs) with the event-triggered (ET) mechanism. A switching-based moving-target defense (MTD) strategy is developed to detect malicious false-data-injection (FDI) attacks, which is characterized by the average dwell-time (ADT) property. Even if attacks may remain stealthy when the MTD mechanism is adopted, the impact of these stealthy attacks on the system performance is relatively small when the switching signal is unknown to the adversary. In order to reduce the cost of data transmission, an ET mechanism is added into the system. Furthermore, we prove that there exists a lower bound of the execution interval, which indicates that the Zeno phenomenon is excluded. Finally, numerical examples are employed to illustrate the effectiveness of the main results.
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