Detection and Mitigation of Load Redistribution Attacks in Power Distribution Systems Using Machine Learning

Key Points

• Mitigation techniques for load redistribution attacks effectively protect power distribution systems.
• The model achieves a detection accuracy of 95% during simulated attack scenarios.
• Analysis of machine learning algorithms reveals their potential for intrusion detection in energy grids.
• Implementation could significantly enhance the resilience and security of electrical systems against cyber threats.