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...
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: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352864821000699 |
Similar Items
-
Deep-Forest-Based Encrypted Malicious Traffic Detection
by: Xueqin Zhang, et al.
Published: (2022-03-01) -
A survey of methods for encrypted network traffic fingerprinting
by: Sunghyun Yu, et al.
Published: (2023-01-01) -
Encrypted Malicious Traffic Detection Based on Word2Vec
by: Andrey Ferriyan, et al.
Published: (2022-02-01) -
Adversarial Malicious Encrypted Traffic Detection Based on Refined Session Analysis
by: Minghui Li, et al.
Published: (2022-11-01) -
SCB Mode: Semantically Secure Length-Preserving Encryption
by: Fabio Banfi
Published: (2022-12-01)