A Nash equilibrium-based moving target defense against stealthy sensor attacks
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
2021-09-082021-09-082023-04-05Bibliographically approved