Anomaly Detection in Network Traffic via Cross-Domain Federated Graph Representation Learning

With the growing complexity and frequency of network threats, anomaly detection in network traffic has become a vital task for ensuring cybersecurity. Traditional detection approaches typically rely on statistical features while overlooking the interaction patterns and structural dependencies among...

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Bibliografiske detaljer

Principais autores:	Yanli Zhao, Zongduo Liu, Junjie Pang
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-06-01
Serier:	Applied Sciences
Fag:	graph neural network federated learning network traffic anomaly detection
Online adgang:	https://www.mdpi.com/2076-3417/15/11/6258
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