An adaptive federated deep learning approach for efficient DDoS detection in IoT edge networks
Abstract The rapid growth of the Internet of Things (IoT) has expanded the attack surface of modern networks, motivating the need for accurate detection of DDoS and botnet activity in resource-constrained settings. Centralised intrusion detection systems (IDS) face privacy, scalability, and heterogeneity challenges tha...