Complete stealthiness false data injection attacks against dynamic state estimation in cyber-physical systems

被引：0
|
作者：
Yang, Guang-Yuan [1 ]
Li, Xiao-Jian [1 ,2 ]
机构：
[1] College of Information Science and Engineering, Northeastern University, Shenyang,110819, China
[2] State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang,110819, China
来源：
Information Sciences | 2022年 / 586卷
关键词：
Ground vehicles - DC motors - Dynamics - Embedded systems - State estimation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper is concerned with the design of complete stealthiness false data injection (FDI) attacks in cyber-physical systems with Kullback-Leiber divergence (KLD) detector. Different from the FDI attacks against KLD detector in the related researches, the FDI attacks with complete stealthiness can completely remove their influences on innovation. Especially, we present the sufficient and necessary design conditions for achieving the attacks. In addition, the realization method of data-driven attacks based on subspace identification is introduced when the attacker cannot acquire system parameters. And a DC motor system and an unmanned ground vehicle system are employed to verify the effectiveness of our main results. © 2021 Elsevier Inc.
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页码：408 / 423
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