Federated learning and autoencoder-based hybrid framework for DDoS detection

Distributed Denial-of-Service (DDoS) attacks can overwhelm network resources and disrupt the availability of cloud services, enterprise systems, and critical infrastructure. Machine-learning-based intrusion detection can help identify malicious traffic from network-flow characteristics. However, con