Autonomous Unknown-Application Filtering and Labeling for DL-based Traffic Classifier Update-Reference-Cited by-同舟云学术

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Autonomous Unknown-Application Filtering and Labeling for DL-based Traffic Classifier Update

Published:2020-07 Issue: Volume: Page:
ISSN:
Container-title:IEEE INFOCOM 2020 - IEEE Conference on Computer Communications
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Author:

Zhang Jielun,Li Fuhao,Ye Feng,Wu Hongyu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9146503/9155217/09155292.pdf?arnumber=9155292

Cited by 70 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. DarkMor: A framework for darknet traffic detection that integrates local and spatial features;Neurocomputing;2024-11

2. Knowing the unknowns: Network traffic detection with open-set semi-supervised learning;Computer Networks;2024-09

3. Identifying malicious traffic under concept drift based on intraclass consistency enhanced variational autoencoder;Science China Information Sciences;2024-07-23

4. Exploring the power of convolutional neural networks for encrypted industrial protocols recognition;Sustainable Energy, Grids and Networks;2024-06

5. A Novel Self-Supervised Framework Based on Masked Autoencoder for Traffic Classification;IEEE/ACM Transactions on Networking;2024-06

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