Performance based attack detection and security analysis for cyber-physical systems

被引：6
|
作者：
Zhao, Zhengen [1 ,3 ]
Xu, Yunsong [2 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing, Peoples R China
[2] Natl Univ Def Technol, Coll Intelligence Sci & Technol, Changsha, Peoples R China
[3] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 211106, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL | 2023年 / 33卷 / 05期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
attack detection; control performance; cyber-physical systems security; data-driven; security analysis; DATA-INJECTION ATTACK;
D O I：
10.1002/rnc.6556
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper studies attack detection and security analysis for cyber-physical systems from the viewpoint of control performance. The performance residual generated by Bellman equation has been presented to construct the attack detector. Then, the control-performance-based attack detection schemes are designed for state measurable system and state unmeasurable system, respectively. Furthermore, the data-driven realizations of control-performance-based attack detection are presented via kernel identification. Moreover, the security analysis of the proposed control-performance-based attack detection schemes is studied, in which the undetectable state and output attacks are designed. Finally, simulations on the model of a flight vehicle demonstrate the effectiveness of the proposed methods.
引用
收藏
页码：3267 / 3284
页数：18
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