An Efficient Data-Driven False Data Injection Attack in Smart Grids
Paper in proceedings, 2018

Data-driven false data injection attack is one of the
emerging techniques in smart grids, provided that the adversary
can monitor the meter readings. The basic idea is constructing attack
vectors from the estimated signal subspace, without knowing
the system measurement matrix. However, its stealthy performance is
significantly influenced by the accuracy of the estimated subspace.
Furthermore, it is computationally demanding, because full-size
singular value decomposition (SVD) is required for model order
selection. In this paper, we propose a truncated SVD based
computationally efficient attacking scheme using only the first
dominant eigenvector. Both experiment and simulation results are
provided to evaluate the performance of the proposed scheme.
Compared with the standard false data injection techniques
with known measurement matrix, similar stealthy performance
is achieved with a reasonable computational complexity.

Author

Fuxi Wen

Chalmers, Electrical Engineering, Kommunikationssystem, informationsteori och antenner, Communication Systems

Wei Liu

University of Sheffield

IEEE International Conference on Digital Signal Processing, DSP 2018
Shanghai, China,

Subject Categories

Signal Processing

More information

Created

9/7/2018 1