中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
System Identification With Binary-Valued Observations Under Data Tampering Attacks

文献类型:期刊论文

作者Guo, Jin3,4; Wang, Xuebin3,4; Xue, Wenchao1,2; Zhao, Yanlong1,2
刊名IEEE TRANSACTIONS ON AUTOMATIC CONTROL
出版日期2021-08-01
卷号66期号:8页码:3825-3832
关键词Estimation Sensor systems Security Communication networks Automation Production Binary-valued observations compensation-oriented defense scheme data tampering attack system identification
ISSN号0018-9286
DOI10.1109/TAC.2020.3029325
英文摘要With the popularization and application of cyber-physical systems in many industry and infrastructure fields, the security issue has been quite an important concern. This article addresses the defense problem against the data tampering attack under the framework of system identification with binary-valued observations. From the perspective of the attacker, it is shown that how to achieve the maximum hit effect with the least attack energy. From the perspective of the defender, a so-called compensation-oriented defense approach is proposed, and the corresponding identification algorithm is designed. The strong consistency of the algorithm is proved, and the asymptotic normality is obtained, based on which the optimal defense scheme is established. A simulation example is provided to illustrate the effectiveness of the defense algorithm and the main theoretical results.
资助项目National Key Research and Development Program of China[2018YFA0703801] ; National Natural Science Foundation of China[61773054] ; National Natural Science Foundation of China[61973299]
WOS研究方向Automation & Control Systems ; Engineering
语种英语
WOS记录号WOS:000678334500039
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/58977]  
专题中国科学院数学与系统科学研究院
通讯作者Zhao, Yanlong
作者单位1.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, NCMIS, LSC, Beijing 100190, Peoples R China
3.Minist Educ, Key Lab Knowledge Automat Ind Proc, Beijing 100083, Peoples R China
4.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
推荐引用方式
GB/T 7714
Guo, Jin,Wang, Xuebin,Xue, Wenchao,et al. System Identification With Binary-Valued Observations Under Data Tampering Attacks[J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL,2021,66(8):3825-3832.
APA Guo, Jin,Wang, Xuebin,Xue, Wenchao,&Zhao, Yanlong.(2021).System Identification With Binary-Valued Observations Under Data Tampering Attacks.IEEE TRANSACTIONS ON AUTOMATIC CONTROL,66(8),3825-3832.
MLA Guo, Jin,et al."System Identification With Binary-Valued Observations Under Data Tampering Attacks".IEEE TRANSACTIONS ON AUTOMATIC CONTROL 66.8(2021):3825-3832.

入库方式: OAI收割

来源:数学与系统科学研究院

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