Length matters: Scalable fast encrypted internet traffic service classification based on multiple protocol data unit length sequence with composite deep learning

Length matters: Scalable fast encrypted internet traffic service classification based on multiple protocol data unit length sequence with composite deep learning

As an essential function of encrypted Internet traffic analysis, encrypted traffic service classification can support both coarse-grained network service traffic management and security supervision. However, the traditional plaintext-based Deep Packet Inspection (DPI) method cannot be applied to suc...

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Bibliographic Details
Main Authors: Zihan Chen, Guang Cheng, Ziheng Xu, Shuyi Guo, Yuyang Zhou, Yuyu Zhao
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-06-01
Series:Digital Communications and Networks
Subjects:
Encrypted internet traffic
Encrypted traffic service classification
MultiPDU length sequence
Length sensitive composite deep learning
TLS-1.3
Online Access:http://www.sciencedirect.com/science/article/pii/S2352864821000699

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http://www.sciencedirect.com/science/article/pii/S2352864821000699

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