학술논문

Data-Driven Undetectable Attack Against State Estimation in Distributed Control Systems
Document Type
Periodical
Source
IEEE Transactions on Systems, Man, and Cybernetics: Systems IEEE Trans. Syst. Man Cybern, Syst. Systems, Man, and Cybernetics: Systems, IEEE Transactions on. 54(5):3134-3143 May, 2024
Subject
Signal Processing and Analysis
Robotics and Control Systems
Power, Energy and Industry Applications
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
State estimation
Detectors
Null space
Systems operation
Security
Design methodology
Decentralized control
Data-driven
distributed control systems (DCSs)
security
state estimation
undetectable attacks
Language
ISSN
2168-2216
2168-2232
Abstract
This article investigates a data-driven design strategy of undetectable attacks against distributed control systems. The objective of the attacker is to worsen the estimation performance and maintain undetectability through compromising partial communication links. First, the existence condition of undetectable attacks is proposed based on the null space of system matrices. Then, the subspace identification method is applied to generate the null space and construct the undetectable attack sequence utilizing the gathered system input–output data. Besides, the impact of the undetectable attack is evaluated by solving an optimization problem involving attack undetectability and energy constraints. To launch the undetectable attack at any time during the system operation, an auxiliary attack sequence is designed. Finally, the simulation results verify the effectiveness of data-driven undetectable attacks.