Skip to main navigation Skip to search Skip to main content

Quantifying Impact on Safety from Cyber-Attacks on Cyber-Physical Systems

  • Eleftherios Vlahakis
  • , Gregory Provan
  • , Gordon Werner
  • , Shanchieh Yang
  • , Nikolaos Athanasopoulos
  • Queen's University Belfast
  • Rochester Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

We propose a novel framework for modeling attack scenarios in cyber-physical control systems: we represent a cyber-physical system as a constrained switching system, where a single model embeds the dynamics of the physical process, the attack patterns, and the attack detection schemes. We show that this is compatible with established results in hybrid automata, namely, constrained switching linear systems. The proposed attack modeling approach admits a large class of non-deterministic attack policies and enables the characterization of system safety as an asymptotic property. By calculating the maximal safe set, the resulting new impact metrics intuitively quantify the degradation of safety and the impact of cyber attacks on the safety properties of the system under attack. We showcase our results via an illustrative example.

Original languageEnglish
Title of host publicationIFAC-PapersOnLine
EditorsHideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita
PublisherElsevier B.V.
Pages246-251
Number of pages6
Edition2
ISBN (Electronic)9781713872344
DOIs
Publication statusPublished - 1 Jul 2023
Event22nd IFAC World Congress - Yokohama, Japan
Duration: 9 Jul 202314 Jul 2023

Publication series

NameIFAC-PapersOnLine
Number2
Volume56
ISSN (Electronic)2405-8963

Conference

Conference22nd IFAC World Congress
Country/TerritoryJapan
CityYokohama
Period9/07/2314/07/23

Keywords

  • attack modeling
  • constrained switching systems
  • cyber-physical systems
  • cyber-security
  • regular language representation
  • safety

Fingerprint

Dive into the research topics of 'Quantifying Impact on Safety from Cyber-Attacks on Cyber-Physical Systems'. Together they form a unique fingerprint.

Cite this