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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Detaylı Bibliyografya
Asıl Yazarlar:	Yanli Zhao, Zongduo Liu, Junjie Pang
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2025-06-01
Seri Bilgileri:	Applied Sciences
Konular:	graph neural network federated learning network traffic anomaly detection
Online Erişim:	https://www.mdpi.com/2076-3417/15/11/6258
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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

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