| System identification with binary-valued observations under both denial-of-service attacks and data tampering attacks: defense scheme and its optimality |
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| 作者姓名： | Jin Guo Xuebin Wang Yanling Zhang Wenchao Xue Yanlong Zhao |
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| 作者单位： | 1 University of Science and Technology Beijing · 2 Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education;3 Chinese Academy of Sciences |
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| 基金项目： | This research was supported by the National Key Research and Development Program of China (2018YFA0703801), the National Natural Science Foundation of China (62173030, 62033010). |
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| 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.
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| 关 键 词： | System identification · Denial of service attack · Data tampering attack · Defense scheme |
System identification with binary-valued observations under both denial-of-service attacks and data tampering attacks: defense scheme and its optimality |
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| 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].Journal of Control Theory and Applications,2022,20(1):114-126. |
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| Authors: | Jin Guo Xuebin Wang Yanling Zhang Wenchao Xue Yanlong Zhao |
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| Affiliation: | 1 University of Science and Technology Beijing · 2 Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education;3 Chinese Academy of Sciences |
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| Abstract: | 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. |
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