A NOVEL NON-INTRUSIVE LOAD MONITORING APPROACH FOR MACHINE LEARNING-BASED DETECTION OF FALSE DATA INJECTION ATTACKS USING INTEGRATED VIBRATION AND CURRENT ANALYSIS

There is an urgent need to improve false data injection attack (FDIA) detection in operational technology (OT) environments using cost-effective and minimally intrusive monitoring approaches. Traditional monitoring methods relying solely on electrical measurements may not fully capture the mechanica