kth.sePublications KTH
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Nash equilibrium-based moving target defense against stealthy sensor attacks
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0001-5638-3213
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0003-1835-2963
2020 (English)In: Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers (IEEE) , 2020, p. 3772-3778Conference paper, Published paper (Refereed)
Abstract [en]

This paper investigates a moving target defense strategy based on detector threshold switching against stealthy sensor attacks. We model the interactions between the attacker and the defender as a game. While the attacker wants to remain stealthy and maximize its impact, the defender wants to minimize both the cost for investigating false alarms and the attack impact. We define the moving target defense as a mixed strategy Nash equilibrium and are able to formulate an equivalent finite matrix game of the original game. We provide a necessary and sufficient condition for the existence of a moving target defense strategy. A globally optimal moving target defense strategy is obtained via a linear optimization problem by exploiting the structure of the matrix game. Simulations with a four tank system verify that by applying an optimal moving target defense strategy, the defender reduces its cost compared to the optimally chosen fixed detector threshold. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2020. p. 3772-3778
Keywords [en]
Game theory, Linear programming, False alarms, Finite matrices, Linear optimization problems, Mixed strategy, Moving target defense, Nash equilibria, Tank system, Threshold switching, Network security
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-301193DOI: 10.1109/CDC42340.2020.9304197ISI: 000717663403007Scopus ID: 2-s2.0-85099879819OAI: oai:DiVA.org:kth-301193DiVA, id: diva2:1592118
Conference
59th IEEE Conference on Decision and Control, CDC 2020, 14 December 2020 through 18 December 2020
Funder
Swedish Research CouncilSwedish Energy Agency
Note

QC 20210908

Available from: 2021-09-08 Created: 2021-09-08 Last updated: 2023-04-05Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Umsonst, DavidSaritas, SerkanSandberg, Henrik

Search in DiVA

By author/editor
Umsonst, DavidSaritas, SerkanSandberg, Henrik
By organisation
Decision and Control Systems (Automatic Control)
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 208 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf