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Whittle's Index Based Sensor Scheduling for Multiprocess Systems Under DoS Attacks

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In this paper,the authors consider how to design defensive countermeasures against DoS attacks for remote state estimation of multiprocess systems.For each system,a sensor will measure its state and transmits the data packets through an unreliable channel which is vulnerable to be jammed by an attacker.Under limited communication bandwidth,only a subset of sensors are allowed for data transmission,and how to select the optimal one to maximize the accuracy of remote state estimation is the focus of the proposed work.The authors first formulate this problem as a Markov decision process and investigate the existence of optimal policy.Moreover,the authors demonstrate the piecewise monotonicity structure of optimal policy.Given the difficulty of obtaining an optimal policy of large-scale problems,the authors develop a suboptimal heuristic policy based on the aforementioned policy structure and Whittle's index.Moreover,a closed form of the indices is derived in order to reduce implementation complexity of proposed scheduling policy and numerical examples are provided to illustrate the proposed developed results.

DoS attacksKalman filterremote state estimationWhittle's index

CAI Zai、DING Kemi

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Shenzhen Key Laboratory of Control Theory and Intelligent Systems,Southern University of Science and Tech-nology,Shenzhen 518055,China

国家自然科学基金STICSTIC

2023112010230400162303212ZDSYS20220330161800001

2024

系统科学与复杂性学报(英文版)
中国科学院系统科学研究所

系统科学与复杂性学报(英文版)

EI
影响因子:0.181
ISSN:1009-6124
年,卷(期):2024.37(1)
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