A Semi-supervised Stacked Autoencoder Approach for Network Traffic Classification
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9259328/9259327/09259390.pdf?arnumber=9259390
Cited by 37 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. Knowing the unknowns: Network traffic detection with open-set semi-supervised learning;Computer Networks;2024-09
2. Review and Perspective on Encrypted Traffic Classification Based on Contrastive Learning;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12
3. Network traffic classification based on federated semi-supervised learning;Journal of Systems Architecture;2024-04
4. Method for multi-task learning fusion network traffic classification to address small sample labels;Scientific Reports;2024-01-30
5. Traffic Classification Method Based on Graph Convolution Network;Smart Innovation, Systems and Technologies;2024
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