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文章基本信息

  • 标题:Reachable Sets of Hidden CPS Sensor Attacks: Analysis and Synthesis Tools
  • 本地全文:下载
  • 作者:Carlos Murguia ; Nathan van de Wouw ; Justin Ruths
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:2088-2094
  • DOI:10.1016/j.ifacol.2017.08.528
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractFor given system dynamics, control structure, and fault/attack detection procedure, we provide mathematical tools–in terms of Linear Matrix Inequalities (LMIs)–for characterizing and minimizing the set of states that sensor attacks can induce in the system while keeping the alarm rate of the fault detector sufficiently close to its false alarm rate in the attack-free case. This quantifies the attack’s potential impact when it is constrained to stay hidden from the detector. Simulation results are presented to illustrate the performance of our tools.
  • 关键词:Keywordscyber physical systemssecuritystochastic systemsmodel-based fault detectorsreachable sets
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