PowerFDNet: Deep Learning-Based Stealthy False Data Injection Attack Detection for AC-model Transmission Systems. (arXiv:2207.10805v1 [cs.CR])

Recent studies have demonstrated that smart grids are vulnerable to stealthy
false data injection attacks (SFDIAs), as SFDIAs can bypass residual-based bad
data detection mechanisms. The SFDIA detection has become one of the focuses of
smart grid research. Methods based on deep learning technology have shown
promising accuracy in the detection of SFDIAs. However, most existing methods
rely on the temporal structure of a sequence of measurements but do not take
account of the spatial structure between buses and transmission …

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