FedSecure-IoT: Privacy-Preserving Intrusion Detection for IoT Networks Using Hybrid Deep Learning, Federated Learning and Homomorphic Encryption
FedSecure-IoT is a privacy-preserving intrusion detection framework for IoT networks. It combines a hybrid CNN-LSTM-DNN classifier, federated learning with Federated Averaging (FedAvg), and Paillier homomorphic encryption for protecting model updates during aggregation. On traffic derived from the CICIoT2023 dataset (8...