Securing 5G/6G IoT Using Transformer and Personalized Federated Learning: An Access-Side Distributed Malicious Traffic Detection Framework
Yantian Luo,
Xu Chen,
Hancun Sun
et al.
Abstract:Malicious traffic has posed a significant threat to current 5G networks. In the upcoming 6G era, with the rapid 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 framework for detecting malicious traffic on the access side of the IoT. This framework shifts the line of defense forward, and could alleviate the resource-bottleneck problem of tr… Show more
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