System identification with binary-valued observations under both denial-of-service attacks and data tampering attacks:the optimality of attack strategy
Jin Guo1
Xuebin Wang1
Yanling Zhang1
Wenchao Xue2
Yanlong Zhao2
1.School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China;Key Laboratory of Knowledge Automation for Industrial Processes,Ministry of Education,Beijing 100083,China2.Key Laboratory of Systems and Control,Institute of Systems Science,Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,China
摘要：With the development of wireless communication technology, cyber physical systems are applied in various fields such as industrial production and infrastructure, where lots of information exchange brings cyber security threats to the systems. From the perspective of system identification with binary-valued observations, we study the optimal attack problem when the system is subject to both denial of service attacks and data tampering attacks. The packet loss rate and the data tampering rate caused by the attack is given, and the estimation error is derived. Then the optimal attack strategy to maximize the identification error with the least energy is described as a min–max optimization problem with constraints. The explicit expression of the optimal attack strategy is obtained. Simulation examples are presented to verify the effectiveness of the main conclusions.
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论文发表日期：2022-02-05
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：12( 127-138 )
英文信息