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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Main Authors: | Rongna XIE, Zhuhong MA, Zongyu LI, Ye TIAN |
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Format: | Article |
Language: | English |
Published: |
POSTS&TELECOM PRESS Co., LTD
2022-12-01
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Series: | 网络与信息安全学报 |
Subjects: | |
Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2022077 |
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