Stealthy Attack Against Distributed State Estimation for Cyber‐Physical Systems

ABSTRACT This article studies a stealthy attack strategy design for distributed state estimation from the perspective of an attacker in cyber‐physical systems, where both internal and external attack scenarios are considered simultaneously. To enhance robustness against outliers and reduce communication burden, a distributed fusion estimator is developed by fusing the innovation residuals of neighboring smart sensor nodes without any attack. Based on the designed distributed fusion estimator, the evolution of the distributed estimation error covariance is analyzed, and its lower and upper bounds are obtained. Moreover, a stealthy attack framework embedding adjustable parameter is designed to weaken the estimation performance, where the constraints of the adjustable parameter are provided based on the desired attack effect. Finally, a simulation example is provided to manifest the validity of the main results.

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Institutions

Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2024-10-28
DOI
https://doi.org/10.1002/rnc.7697
Citations
5
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
1.64

Funders

Controls
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article

Stealthy Attack Against Distributed State Estimation for Cyber‐Physical Systems

Huaiyu Yuan, Yun Liu, Wen Yang, Jie Wang
5 citations
International Journal of Robust and Nonlinear Control
Smart Grid Security and Resilience
1.64
article

Stealthy Attack Against Distributed State Estimation for Cyber‐Physical Systems

Huaiyu Yuan, Yun Liu, Wen Yang, Jie Wang
article en
5 citations

Abstract

ABSTRACT This article studies a stealthy attack strategy design for distributed state estimation from the perspective of an attacker in cyber‐physical systems, where both internal and external attack scenarios are considered simultaneously. To enhance robustness against outliers and reduce communication burden, a distributed fusion estimator is developed by fusing the innovation residuals of neighboring smart sensor nodes without any attack. Based on the designed distributed fusion estimator, the evolution of the distributed estimation error covariance is analyzed, and its lower and upper bounds are obtained. Moreover, a stealthy attack framework embedding adjustable parameter is designed to weaken the estimation performance, where the constraints of the adjustable parameter are provided based on the desired attack effect. Finally, a simulation example is provided to manifest the validity of the main results.

International Journal of Robust and Nonlinear ControlVol. 35(3)
East China University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 16%
Smart Grid Security and Resilience
1.64
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Stealthy Attack Against Distributed State Estimation for Cyber‐Physical Systems — Huaiyu Yuan, Yun Liu, et al. · International Journal of Robust and Nonlinear Control (2024) | TGRS Research Map | TGRS