典型文献
System identification with binary-valued observations under both denial-of-service attacks and data tampering attacks:defense scheme and its optimality
文献摘要：
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.
文献关键词：
中图分类号：
作者姓名：
Jin Guo;Xuebin Wang;Yanling Zhang;Wenchao Xue;Yanlong Zhao
作者机构：
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,China;Key Laboratory of Systems and Control,Institute of Systems Science,Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,China
文献出处：
引用格式：
[1]Jin Guo;Xuebin Wang;Yanling Zhang;Wenchao Xue;Yanlong Zhao-.System identification with binary-valued observations under both denial-of-service attacks and data tampering attacks:defense scheme and its optimality)[J].控制理论与技术（英文版）,2022(01):114-126
A类：
tampering
B类：
System,identification,binary,valued,observations,under,both,denial,service,attacks,data,defense,scheme,its,optimality,In,this,paper,we,investigate,problem,against,joint,framework,system,By,estimating,key,parameters,compensating,them,algorithm,compensation,oriented,proposed,Then,designed,further,proved,be,consistent,asymptotic,normality,obtained,basis,Furthermore,implementation,discussed,Finally,simulation,example,presented,verify,effectiveness,main,results
AB值：
0.493467
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