BFCN: A Novel Classification Method of Encrypted Traffic Based on BERT and CNN

BFCN: A Novel Classification Method of Encrypted Traffic Based on BERT and CNN

With the speedy advancement of encryption technology and the exponential increase in applications, network traffic classification has become an increasingly important research topic. Existing methods for classifying encrypted traffic have certain limitations. For example, traditional approaches such...

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Bibliographic Details
Main Authors: Zhaolei Shi, Nurbol Luktarhan, Yangyang Song, Gaoqi Tian
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Electronics
Subjects:
encrypted traffic classification
convolutional neural network
pretraining
bidirectional encoder representations from transformers
Online Access:https://www.mdpi.com/2079-9292/12/3/516

Internet

https://www.mdpi.com/2079-9292/12/3/516

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