A Resilient Distributed Kalman Filtering Under Bidirectional Stealthy Attack

W Ding, W Yang, C Yang, X Ren… - IEEE Signal Processing …, 2024 - ieeexplore.ieee.org
False data injection attacks are widely investigated to exploit the cyber-vulnerability of Cyber-
Physical System. However, the existing attack policies only consider the cyber-vulnerability …

Worst-Case Stealthy Linear Attacks on Distributed Kalman Filter Under Kullback-Leibler Divergence

J Wang, K Zhang, Q Gao, P Peng - 2023 42nd Chinese Control …, 2023 - ieeexplore.ieee.org
This paper investigates the worst-case attack problem of cyber physical systems under false
data injection (FDI) attacks. The scenario considered contains nodes exchanging local …

Stealthy Linear Deception Attacks against Kalman Filtering with Partially Secured Measurements

J Zhou, T Chen - 2023 62nd IEEE Conference on Decision and …, 2023 - ieeexplore.ieee.org
In this paper, we investigate an optimal strategy for malicious agents to compromise remote
state estimators where only a portion of the transmitted packets is secured. First, the analysis …

Two‐channel stealthy false data injection attacks design without estimator knowledge

H Wang, Y Ren, Y Fang, A Liu - Asian Journal of Control, 2024 - Wiley Online Library
This paper primarily focuses on designing stealthy false data injection attacks targeting two
communication channels in cyber‐physical systems equipped with state estimators and …

Distributed Secure State Estimation for Cyber-Physical Systems Under False Data Injection Attacks

XY Zhang, GH Yang - IEEE Transactions on Network Science …, 2024 - ieeexplore.ieee.org
This paper studies the distributed secure state estimation problem for cyber-physical
systems subjected to false data injection attacks. A novel distributed framework is proposed …

False-Data Injection Attacks Against Distributed Filters With Improved Complete-Stealthiness

K Jin, D Ye - IEEE Transactions on Industrial Informatics, 2024 - ieeexplore.ieee.org
In this article, the existence and the corresponding design of false-data injection attacks are
studied such that the state estimation at every distributed filter is compromised. Different from …

Fusion and detection for multi-sensor systems under false data injection attacks

J Hua, F Hao - ISA transactions, 2023 - Elsevier
This article investigates a security problem in cyber–physical systems under multisensory
framework. Data packets from each sensor are transmitted to a remote estimator through …

Analysis of stealthy false data injection attacks against networked control systems: Three case studies

Z Pang, Y Fu, H Guo, J Sun - Journal of Systems Science and Complexity, 2023 - Springer
This paper mainly investigates the security problem of a networked control system based on
a Kalman filter. A false data injection attack scheme is proposed to only tamper the …

Stealthy FDI attacks on modified Kalman filtering in complex networks with non-Gaussian-Lévy noise

W Yuan, T Tong, Q Dong, J Sun - Chaos, Solitons & Fractals, 2024 - Elsevier
This paper investigates the problem of network security for stealthy false data injection (FDI)
attacks under modified Kalman filtering (MKF) over complex networks with non-Gaussian …

Optimal stealthy attacks on industrial cyber physical systems under random access protocol

XG Zhang, GH Yang, XX Ren - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
This article designs the stealthy attack against industrial cyber-physical systems under the
random access protocol (RAP), which is used to avoid data collisions. The aim is to design …