Federated learning and autoencoder-based hybrid framework for DDoS detection
Abstract 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, conventional c...
G. Srujana, K. S. Harshita, Harshitha Shetty et al.
· Scientific Reports · 0 citations