Linear system security: detection and correction of adversarial attacks in the noise-free case

Zhanghan Tang (Corresponding author), Margreta Kuijper, Michelle Chong, Iven Mareels, Chris Leckie

Research output: Contribution to journalArticleAcademic

Abstract

We address the problem of attack detection and attack correction for multi-output discrete-time linear time-invariant systems under sensor attack. More specifically, we focus on the situation where adversarial attack signals are added to some of the system's output signals. A 'security index' is defined to characterize the vulnerability of a system against such sensor attacks. Methods to compute the security index are presented as are algorithms to detect and correct for sensor attacks. The results are illustrated by examples involving multiple sensors.
Original languageEnglish
Article number1711.05400
Number of pages10
JournalarXiv
Volume2017
Publication statusPublished - 15 Nov 2017
Externally publishedYes

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