Li, Yuzhe and Quevedo, Daniel E. and Dey, Subhrakanti and Shi, Ling (2017) SINR-Based DoS Attack on Remote State Estimation: A Game-Theoretic Approach. IEEE Transactions on Control of Network Systems, 4 (3). pp. 632-642. ISSN 2325-5870

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Abstract

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.

Item Type:	Article
Keywords:	Cyberphysical systems; game theory; remote state estimation; security; wireless sensors;
Academic Unit:	Faculty of Arts & Humanities > Language Centre Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	11460
Identification Number:	https://doi.org/10.1109/TCNS.2016.2549640
Depositing User:	Subhrakanti Dey
Date Deposited:	24 Oct 2019 12:35
Journal or Publication Title:	IEEE Transactions on Control of Network Systems
Publisher:	IEEE
Refereed:	Yes
URI:	https://ieeexplore.ieee.org
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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