IEEE

Generative Pretraining Transformer Based False Data Injection Attack Detection Framework for DC Microgrid Under Uncertain Operating Condition

Abstract: Traditional False Data Injection Attack (FDIA) techniques typically rely on prediction-based models that forecast Renewable Energy Source (RES) generation. This reliance leads to increased ...
IEEE

Detection and Mitigation of False Data Injection Attacks in DC Microgrids: A UIO, Luenberger Observer, and CNN-Based Approach for 6DGUs

Abstract: In this paper, a real-time, hybrid detection and mitigation framework for false data injection attacks in DC microgrids is presented. It is then evaluated on six distributed generation units ...