文章基本信息

标题：Covert Attack Detection Based on H i /H ∞ Optimization for Cyber-Physical Systems ⁎
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作者：Jiao Qin ; Maiying Zhong ; Yang Liu 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：4487-4492
DOI：10.1016/j.ifacol.2020.12.453
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, a new detection scheme is proposed to detect covert attack in the framework of Hi/H∞index optimization for cyber-physical system (CPS) which is modeled as a linear discrete time-varying (LDTV) system. First, a random modulation matrix that the attacker cannot know is inserted into the path of the control variables to destroy the stealthiness of covert attacks. Second, a detection filter is constructed which transforms the detection problem into anH-/H∞or H∞/H∞index optimization problem. The optimal solution is obtained by solving the Riccati equation. Third, a decision making mechanism is presented to trigger an alarm and further determine whether the cause of alarm is a covert attack or a fault. Finally, a simulation example is given to illustrate the effectiveness of the proposed method.
关键词：KeywordsCyber-physical systemcovert attackLDTV systemdetection filterHi/H∞optimization