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  • 标题:Covert Attack Detection Based on H i /H ∞ Optimization for Cyber-Physical Systems ⁎
  • 本地全文:下载
  • 作者:Jiao Qin ; Maiying Zhong ; Yang Liu
  • 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
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