M. Ramzan

Federated Learning for Privacy-preserving Internet of Things (IoT) Security: A Decentralized Intrusion Detection Framework

The proposed framework introduces several innovative features, such as federated learning with momentum-based optimization, adaptive differential privacy, trust verification via blockchain, and Byzantine-resilient aggregation, to enhance the security, scalability, and robustness of the system compared with traditional intrusion detection systems.