Design of ∈-Optimal Transmission Strategies Against DoS Attacks: A Receding Horizon Approach

• 成果类型: Article
• 署名作者: Xie, Kaiyun; Xiong, Junlin
• 署名单位: Hefei University of Technology; Chinese Academy of Sciences; University of Science & Technology of China, CAS
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2026.3652844
• 发表日期: 2026
• 关键词: REMOTE STATE ESTIMATION; approximations

摘要

This article aims to design sensor transmission strategies to ensure estimation quality under denial-of-service (DoS) attacks. The interaction between sensors and attackers is formulated as a two-person zero-sum stochastic game. To approximate Nash transmission strategies and ensure estimation quality, a receding horizon (RH) approach is presented to design is an element of-optimal transmission strategies. However, this requires sufficient computing resources. Furthermore, is an element of-optimal transmission strategies are designed in two practical scenarios. In the scenarios where real-time computing resources frequently vary and may be insufficient, such as in cloud computing, a RH with resource allocation approach is developed to construct is an element of-optimal transmission strategies based on real-time computing resources. In the scenarios with imprecise transmission probabilities, the performance of both approaches is analyzed to ensure estimation quality. Finally, a numerical example is provided to demonstrate the superiority of the proposed approaches in the presence of DoS attacks and limitations on real-time computing resources.