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eess.SY2020★ 5 cited
Training Strategies for Autoencoder-based Detection of False Data Injection Attacks
Chenguang Wang, Kaikai Pan, Simon Tindemans +1
The security of energy supply in a power grid critically depends on the ability to accurately estimate the state of the system. However, manipulated power flow measurements can pot…
eess.SY2020★ 43 cited
Detection of False Data Injection Attacks Using the Autoencoder Approach
Chenguang Wang, Simon Tindemans, Kaikai Pan +1
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 conventi…