Optimizing DoS attack energy with imperfect acknowledgments and energy harvesting constraints in cyber-physical systems
作者：
Highlights：
• A novel attack model based on unreliable feedback information is formulated, and the jammer is constrained by energy harvesting.
• To maximize the average estimation error covariance, we set up the Bellman optimal equations with finite and infinite time horizons respectively, and obtain the optimal DoS attack energy allocation strategy.
• Some structural properties are given about energy allocation. For fixed available energy, the optimal DoS attack energy allocation strategy is nondecreasing with the state of the remote estimator. A myopic strategy with simple structure and easy implementation is proposed.
摘要
•A novel attack model based on unreliable feedback information is formulated, and the jammer is constrained by energy harvesting.•To maximize the average estimation error covariance, we set up the Bellman optimal equations with finite and infinite time horizons respectively, and obtain the optimal DoS attack energy allocation strategy.•Some structural properties are given about energy allocation. For fixed available energy, the optimal DoS attack energy allocation strategy is nondecreasing with the state of the remote estimator. A myopic strategy with simple structure and easy implementation is proposed.
论文关键词：DoS attacks,Energy harvesting,Imperfect acknowledgments,Markov Decision Process (MDP),Cyber-physical systems
论文评审过程：Received 8 July 2020, Revised 28 September 2020, Accepted 11 November 2020, Available online 21 November 2020, Version of Record 21 November 2020.
论文官网地址：https://doi.org/10.1016/j.amc.2020.125821
