A Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT

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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Bibliographic Details
Main Authors: Chang-Yui Shin, Jee-Tae Park, Ui-Jun Baek, Myung-Sup Kim
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Encrypted network traffic classification
deep learning
NLP
BERT
knowledge distillation
DistilBERT
Online Access:https://ieeexplore.ieee.org/document/10176140/

Internet

https://ieeexplore.ieee.org/document/10176140/

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