Linear system security - Detection and correction of adversarial sensor attacks in the noise-free case

Zhanghan Tang; Margreta Kuijper; Michelle S. Chong; Iven Mareels; Christopher Leckie

doi:10.1016/j.automatica.2018.11.048

Linear system security - Detection and correction of adversarial sensor attacks in the noise-free case

Zhanghan Tang, Margreta Kuijper, Michelle S. Chong, Iven Mareels, Christopher Leckie

Research output: Contribution to journal › Article › Academic › peer-review

27 Citations (Scopus)

Abstract

We address the problem of attack detection and attack correction for multi-output discrete-time linear time-invariant dynamical 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. Algorithms for sensor attack detection and correction are presented using the notion of ‘security index’ which characterizes the system’s vulnerability against such attacks. The results are illustrated by examples involving multiple sensors.

Original language	English
Pages (from-to)	53-59
Number of pages	7
Journal	Automatica
Volume	101
DOIs	https://doi.org/10.1016/j.automatica.2018.11.048
Publication status	Published - Mar 2019
Externally published	Yes

Bibliographical note

DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

Keywords

Attack correction
Attack detection
Error control coding
Linear time-invariant systems
Security
Sensor attacks

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10.1016/j.automatica.2018.11.048

Cite this

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title = "Linear system security - Detection and correction of adversarial sensor attacks in the noise-free case",

abstract = "We address the problem of attack detection and attack correction for multi-output discrete-time linear time-invariant dynamical systems under sensor attack. More specifically, we focus on the situation where adversarial attack signals are added to some of the system{\textquoteright}s output signals. Algorithms for sensor attack detection and correction are presented using the notion of {\textquoteleft}security index{\textquoteright} which characterizes the system{\textquoteright}s vulnerability against such attacks. The results are illustrated by examples involving multiple sensors.",

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AU - Mareels, Iven

AU - Leckie, Christopher

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N2 - We address the problem of attack detection and attack correction for multi-output discrete-time linear time-invariant dynamical 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. Algorithms for sensor attack detection and correction are presented using the notion of ‘security index’ which characterizes the system’s vulnerability against such attacks. The results are illustrated by examples involving multiple sensors.

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Linear system security - Detection and correction of adversarial sensor attacks in the noise-free case

Abstract

Bibliographical note

Keywords

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