System identification with binary-valued observations under both denial-of-service attacks and data tampering attacks:defense scheme and its optimality
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：In this paper, we investigate the defense problem against the joint attacks of denial-of-service attacks and data tampering attacks in the framework of system identification with binary-valued observations. By estimating the key parameters of the joint attack and compensating them in the identification algorithm, a compensation-oriented defense scheme is proposed. Then the identification algorithm of system parameter is designed and is further proved to be consistent. The asymptotic normality of the algorithm is obtained, and on this basis, we propose the optimal defense scheme. Furthermore, the implementation of the optimal defense scheme is discussed. Finally, a simulation example is presented to verify the effectiveness of the main results.
机标关键词：
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：13( 114-126 )
英文信息