The research paper "SA-FLIDS: Secure and Authenticated Federated Learning-based Intrusion Detection System" introduces a decentralized AI approach for IoT security, utilizing Federated Learning to train models locally while maintaining data privacy. Published in PeerJ Computer Science, the system demonstrates high accuracy against attacks like DDoS using benchmark datasets while reducing bandwidth needs. Read the full paper at PeerJ .
