Security metrics and synthesis of secure control systems

Carlos Murguia (Corresponding author), Iman Shames, Justin Ruths, Dragan Nešić

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)

Abstract

The term stealthy has come to encompass a variety of techniques that attackers can employ to avoid being detected. In this manuscript, for a class of perturbed linear time-invariant systems, we propose two security metrics to quantify the potential impact that stealthy attacks could have on the system dynamics by tampering with sensor measurements. We provide analysis tools to quantify these metrics for given system dynamics, control, and system monitor. Then, we provide synthesis tools (in terms of semidefinite programs) to redesign controllers and monitors such that the impact of stealthy attacks is minimized and the required attack-free system performance is guaranteed.

Original languageEnglish
Article number108757
JournalAutomatica
Volume115
DOIs
Publication statusPublished - May 2020
Externally publishedYes

Keywords

  • Attacks
  • Model-based fault/attack monitors
  • Network control systems
  • Secure control
  • Security metrics

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