A Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT

While user-oriented service industries are rapidly growing, various network devices provide these services through different access paths. Accordingly, the network flow is also increasing explosively. As demand for management related to limited network resources increases, the network traffic classi...

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Detalles Bibliográficos

Principais autores:	Chang-Yui Shin, Jee-Tae Park, Ui-Jun Baek, Myung-Sup Kim
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2023-01-01
Series:	IEEE Access
Assuntos:	Encrypted network traffic classification deep learning NLP BERT knowledge distillation DistilBERT
Acceso en liña:	https://ieeexplore.ieee.org/document/10176140/
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