Encrypted traffic classification method based on convolutional neural network

Encrypted traffic classification method based on convolutional neural network

Aiming at the problems of low accuracy, weak generality, and easy privacy violation of traditional encrypted network traffic classification methods, an encrypted traffic classification method based on convolutional neural network was proposed, which avoided relying on original traffic data and preve...

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Bibliographic Details
Main Author: Rongna XIE, Zhuhong MA, Zongyu LI, Ye TIAN
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2022-12-01
Series:网络与信息安全学报
Subjects:
encrypted traffic
convolution neural network
deep learning
feature fusion
model optimization
Online Access:https://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2022077

Internet

https://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2022077

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