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SINR-based DoS attack on remote state estimation: A game-theoretic approach
Hong Kong Univ Sci & Technol, Hong Kong, Peoples R China.
Paderborn Univ, Paderborn, Germany.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.ORCID iD: 0000-0003-0762-5743
Hong Kong Univ Sci & Technol, Hong Kong, Peoples R China.
2017 (English)In: IEEE Transactions on Control of Network Systems, ISSN 2325-5870, Vol. 4, no 3, p. 632-642Article in journal (Refereed) Published
Abstract [en]

We consider remote state estimation of cyberphysical systems under signal-to-interference-plus-noise ratio-based denial-of-service attacks. A sensor sends its local estimate to a remote estimator through a wireless network that may suffer interference from an attacker. Both the sensor and the attacker have energy constraints. We first study an associated two-player game when multiple power levels are available. Then, we build a Markov game framework to model the interactive decision-making process based on the current state and information collected from previous time steps. To solve the associated optimality (Bellman) equations, a modified Nash Q-learning algorithm is applied to obtain the optimal solutions. Numerical examples and simulations are provided to demonstrate our results.

Place, publisher, year, edition, pages
2017. Vol. 4, no 3, p. 632-642
National Category
Computer Sciences Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-287946DOI: 10.1109/TCNS.2016.2549640ISI: 000411203700021OAI: oai:DiVA.org:uu-287946DiVA, id: diva2:923626
Available from: 2016-04-27 Created: 2016-04-27 Last updated: 2018-02-19Bibliographically approved

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Dey, Subhrakanti

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