Detecting False Data Injection Attack on Cyber-Physical System Based on Delta Operator

Jianlei Gao, Senchun Chai, Min Shuai, Baihai Zhang, Linguo Cui

科研成果: 书/报告/会议事项章节会议稿件同行评审

8 引用 (Scopus)

摘要

More and more Cyber-Physical systems (CPSs) providing service for many critical infrastructures have been connected to the Internet, which also attracts more attention of false data injection attacks. Since CPSs require higher performance and high-speed sampling demand, it needs to discover anomalies faster and more effectively to ensure normal operation, when it has been attacked. In this paper, through studying the different discretization methods, we choose a delta operator Kalman Filter and Euclidean detector to detect the false data injection attack in sensors of CPSs and solve the problem of high-speed sampling oscillation. Besides, a false data injection attack model is designed to test and compare with related algorithm. And the result turns out that the delta operator Kalman Filter and Euclidean detector have a robust performance.

源语言英语
主期刊名Proceedings of the 37th Chinese Control Conference, CCC 2018
编辑Xin Chen, Qianchuan Zhao
出版商IEEE Computer Society
5961-5966
页数6
ISBN(电子版)9789881563941
DOI
出版状态已出版 - 5 10月 2018
活动37th Chinese Control Conference, CCC 2018 - Wuhan, 中国
期限: 25 7月 201827 7月 2018

出版系列

姓名Chinese Control Conference, CCC
2018-July
ISSN(印刷版)1934-1768
ISSN(电子版)2161-2927

会议

会议37th Chinese Control Conference, CCC 2018
国家/地区中国
Wuhan
时期25/07/1827/07/18

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