Detection of False Data Injection Attacks Using the Autoencoder Approach

22 May 2020 Wang Chenguang Tindemans Simon Pan Kaikai Palensky Peter

State estimation is of considerable significance for the power system operation and control. However, well-designed false data injection attacks can utilize blind spots in conventional residual-based bad data detection methods to manipulate measurements in a coordinated manner and thus affect the secure operation and economic dispatch of grids... (read more)

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