Encrypted traffic classification with a convolutional long short-term memory neural network

Z Zou, J Ge, H Zheng, Y Wu, C Han… - 2018 IEEE 20th …, 2018 - ieeexplore.ieee.org
With the rapidly emerging encryption techniques for network traffic, the classification of
encrypted traffic has increasingly become significantly important in network management …

End-to-end encrypted traffic classification with one-dimensional convolution neural networks

W Wang, M Zhu, J Wang, X Zeng… - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
Traffic classification plays an important and basic role in network management and
cyberspace security. With the widespread use of encryption techniques in network …

An encrypted traffic classification method combining graph convolutional network and autoencoder

B Sun, W Yang, M Yan, D Wu, Y Zhu… - 2020 IEEE 39th …, 2020 - ieeexplore.ieee.org
The increase in the source and size of encrypted network traffic brings significant challenges
for network traffic analysis. The challenging problem in the encrypted traffic classification …

TLS/SSL encrypted traffic classification with autoencoder and convolutional neural network

Y Yang, C Kang, G Gou, Z Li… - 2018 IEEE 20th …, 2018 - ieeexplore.ieee.org
With the increasing demand for privacy protection, the amount of encrypted traffic
tremendously raises. Precise traffic analysis and monitoring has become a challenge since …

[HTML][HTML] BFCN: A novel classification method of encrypted traffic based on BERT and CNN

Z Shi, N Luktarhan, Y Song, G Tian - Electronics, 2023 - mdpi.com
With the speedy advancement of encryption technology and the exponential increase in
applications, network traffic classification has become an increasingly important research …

A session-packets-based encrypted traffic classification using capsule neural networks

S Cui, B Jiang, Z Cai, Z Lu, S Liu… - 2019 IEEE 21st …, 2019 - ieeexplore.ieee.org
With the enhancement of network security awareness and excellent applicability of
encryption protocols, identifying encrypted traffic is a critical and fundamental task for many …

Image-based encrypted traffic classification with convolution neural networks

Y He, W Li - 2020 IEEE Fifth International Conference on Data …, 2020 - ieeexplore.ieee.org
Network traffic classification plays an important part in the network management and
network monitoring. It can help administrators to understand the constitution of network …

Fs-net: A flow sequence network for encrypted traffic classification

C Liu, L He, G Xiong, Z Cao, Z Li - IEEE INFOCOM 2019-IEEE …, 2019 - ieeexplore.ieee.org
With more attention paid to user privacy and communication security, the volume of
encrypted traffic rises sharply, which brings a huge challenge to traditional rule-based traffic …

MATEC: A lightweight neural network for online encrypted traffic classification

J Cheng, Y Wu, E Yuepeng, J You, T Li, H Li, J Ge - Computer Networks, 2021 - Elsevier
Increased awareness of privacy protection has led to a surge in the volume of encrypted
traffic, which creates a heavy burden for efficient network management (eg quality-of-service …

: A Deep Learning Based Network Encrypted Traffic Classification and Intrusion Detection Framework

Y Zeng, H Gu, W Wei, Y Guo - IEEE Access, 2019 - ieeexplore.ieee.org
With the rapid evolution of network traffic diversity, the understanding of network traffic has
become more pivotal and more formidable. Previously, traffic classification and intrusion …