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Stochastic game in remote estimation under DoS attacks
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.ORCID iD: 0000-0003-0762-5743
Department of Electrical Engineering, Paderborn University, Tyskland.
2017 (English)In: IEEE Control Systems Letters, Vol. 1, no 1, p. 146-151Article in journal (Refereed) Published
Abstract [en]

This letter studies remote state estimation under denial-of-service (DoS) attacks. A sensor transmits its local estimate of an underlying physical process to a remote estimator via a wireless communication channel. A DoS attacker is capable to interfere the channel and degrades the remote estimation accuracy. Considering the tactical jamming strategies played by the attacker, the sensor adjusts its transmission power. This interactive process between the sensor and the attacker is studied in the framework of a zero-sum stochastic game. To derive their optimal power schemes, we first discuss the existence of stationary Nash equilibrium for this game. We then present the monotone structure of the optimal strategies, which helps reduce the computational complexity of the stochastic game algorithm. Numerical examples are provided to illustrate the obtained results.

Place, publisher, year, edition, pages
2017. Vol. 1, no 1, p. 146-151
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-365043DOI: 10.1109/LCSYS.2017.2711044OAI: oai:DiVA.org:uu-365043DiVA, id: diva2:1261653
Available from: 2018-11-08 Created: 2018-11-08 Last updated: 2019-02-27Bibliographically approved

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Dey, Subhrakanti

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