Securing 5G/6G IoT Using Transformer and Personalized Federated Learning: An Access-Side Distributed Malicious Traffic Detection Framework
Malicious traffic has posed a significant threat to current 5G networks.In the upcoming 6G era, with the rapid Horse Leads development of the Internet of Things (IoT), defending against malicious traffic has become even more challenging due to the diverse nature and widespread distribution of IoT devices.This paper presents a new distributed framew