A Comparison of three machine learning techniques for encrypted network traffic analysis-Reference-Cited by-同舟云学术

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A Comparison of three machine learning techniques for encrypted network traffic analysis

Published:2011-04 Issue: Volume: Page:
ISSN:
Container-title:2011 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA)
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Author:

Arndt Daniel J.,Zincir-Heywood A. Nur

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5937061/5945936/05945941.pdf?arnumber=5945941

Cited by 36 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 novel graph convolutional networks model for an intelligent network traffic analysis and classification;International Journal of Information Technology;2024-08-14

2. Machine Learning-Based Intrusion Detection System for Encrypted Attacks;European Journal of Applied Science, Engineering and Technology;2024-03-01

3. Artificial Intelligence-Based Approaches for Anomaly Detection;SpringerBriefs in Computer Science;2024

4. A New Transfer Learning-Based Traffic Classification Algorithm for a Multi-Domain SDN Network;Proceedings of the 12th International Symposium on Information and Communication Technology;2023-12-07

5. Feature Engineering and Ensemble Learning-Based Classification of VPN and Non-VPN-Based Network Traffic over Temporal Features;SN Computer Science;2023-07-29

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