Listen to Minority: Encrypted Traffic Classification for Class Imbalance with Contrastive Pre-Training-Reference-Cited by-同舟云学术

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Listen to Minority: Encrypted Traffic Classification for Class Imbalance with Contrastive Pre-Training

Published:2023-09-11 Issue: Volume: Page:
ISSN:
Container-title:2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)
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Author:

Li Xiang¹,Guo Juncheng²,Song Qige³,Xie Jiang³,Sang Yafei¹,Zhao Shuyuan¹,Zhang Yongzheng⁴

Affiliation:

1. Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China

2. Amazon,China

3. Zhongguancun Laboratory,Beijing,China

4. China Assets Cybersecurity Technology CO.,Ltd,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10287388/10287413/10287449.pdf?arnumber=10287449

Reference35 articles.

1. Network traffic classification for data fusion: A survey

2. 2020 annual report,2020

3. Malware traffic classification using convolutional neural network for representation learning

4. FS-Net: A Flow Sequence Network For Encrypted Traffic Classification

5. PCCN: Parallel Cross Convolutional Neural Network for Abnormal Network Traffic Flows Detection in Multi-Class Imbalanced Network Traffic Flows

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A balanced supervised contrastive learning-based method for encrypted network traffic classification;Computers & Security;2024-10

2. CETP: A novel semi-supervised framework based on contrastive pre-training for imbalanced encrypted traffic classification;Computers & Security;2024-08

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