LightSEEN: Real-Time Unknown Traffic Discovery via Lightweight Siamese Networks

With the increase in the proportion of encrypted network traffic, encrypted traffic identification (ETI) is becoming a critical research topic for network management and security. At present, ETI under closed world assumption has been adequately studied. However, when the models are applied to the r...

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Veröffentlicht in:	Security and communication networks 2021-10, Vol.2021, p.1-12
Hauptverfasser:	Li, Ji, Gu, Chunxiang, Wei, Fushan, Zhang, Xieli, Hu, Xinyi, Guo, Jiaxing, Liu, Wenfen
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Classification Clustering Communications traffic Deep learning Efficiency Experiments Feature extraction Lightweight Machine learning Neural networks Protocol Traffic models
Online-Zugang:	Volltext
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