4.7 Article

Blind False Data Injection Attacks Against State Estimation Based on Matrix Reconstruction

Journal

IEEE TRANSACTIONS ON SMART GRID
Volume 13, Issue 4, Pages 3174-3187

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2022.3164874

Keywords

Noise measurement; Voltage measurement; State estimation; Covariance matrices; Current measurement; Power measurement; Jacobian matrices; False data injection attack; blind attack; matrix reconstruction; measurement noise

Funding

  1. National Natural Science Foundation of China [51907121, 61871265, TSG-01660-2021]

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This paper proposes a blind FDIA approach against the state estimation of power grids based on matrix reconstruction and subspace estimation. It overcomes the shortcoming of previous methods in handling measurement noise with limited data. The proposed method demonstrates high successful rate of FDIA and great robustness to large-scale power grids and high-level measurement noise.
Cyber, especially false data injection attacks (FDIAs), are gradually becoming a kind of severe threat to modern power grids. This paper proposes a blind FDIA approach against the state estimation of power grids based on matrix reconstruction and subspace estimation. As a blind FDIA method, it requires no information about the system parameters and topology, but only needs a limited period of measurement data. In particular, this paper investigates the interference of random measurement noise for subspace based blind FDIA methods, and designs a scheme to alleviate the influence of this random noise in the process of FDIA. Compared with previous blind FDIA methods, the proposed method overcomes the shortcoming that measurement noise is difficult to address when data is not abundant. Thus the presented approach performs high successful rate of FDIA, and it is able to operate when measurement data is very limited. Besides, it performs great robustness to large-scale power grids and high-level measurement noise. Numerous cases demonstrate the effectiveness and advantages of the proposed method.

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