Paper Info
Title
Complete stealthiness false data injection attacks against dynamic state estimation in cyber-physical systems
Abstract
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.
Year
DOI
Venue
2022
10.1016/j.ins.2021.11.079
Information Sciences
Keywords
DocType
Volume
Cyber-physical systems,False data injection attacks,Complete stealthiness,Dynamic state estimation
Journal
586
ISSN
Citations 
PageRank 
0020-0255
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Guang-Yuan Yang100.34
Xiao-Jian Li226413.82