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The document discusses a study focused on enhancing the security of Electric Vehicle Charging Stations (EVCS) against Distributed Denial-of-Service (DDoS) attacks using Personalized Federated Learning (PFL). The research demonstrates that machine learning models, particularly Random Forest and Gradient Boosting Machine, can achieve high accuracy rates in detecting DDoS attacks, thereby improving the resilience and security of EVCS. The proposed approach allows for collaborative threat detection without comp

Author

aamraniids

Language

EN