Encrypted traffic identification method based on deep residual capsule network with attention mechanism

Encrypted traffic identification method based on deep residual capsule network with attention mechanism

With the improvement of users’ security awareness and the development of encryption technology, encrypted traffic has become an important part of network traffic, and identifying encrypted traffic has become an important part of network traffic supervision.The encrypted traffic identification method...

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Bibliographic Details
Main Author:	Guozhen SHI, Kunyang LI, Yao LIU, Yongjian YANG
Format:	Article
Language:	English
Published:	POSTS&TELECOM PRESS Co., LTD 2023-02-01
Series:	网络与信息安全学报
Subjects:	encrypted traffic identification deep capsule network 3d convolutional algorithm residual network
Online Access:	https://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2023007

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