A New Transfer Learning-Based Traffic Classification Algorithm for a Multi-Domain SDN Network-Reference-Cited by-同舟云学术

A New Transfer Learning-Based Traffic Classification Algorithm for a Multi-Domain SDN Network

Published:2023-12-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Symposium on Information and Communication Technology
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Author:

Hoang Nam-Thang¹^ORCID,Duong Cong-Son²^ORCID,Vu Minh-Ngoc²^ORCID,Nguyen Huy-Hieu²^ORCID,Tran Xuan-Truong³^ORCID,Tong Van⁴^ORCID,Tran Hai Anh⁴^ORCID

Affiliation:

1. School of Information and Communication Technology (SOICT), Hanoi University of Science and Technology (HUST), Vietnam

2. Faculty of Information Technology, Hanoi University of Civil Engineering (HUCE), Viet Nam

3. School of Science, Engineering and Technology, Penn State University, United States

4. School of Information and Communication Technology (SOICT), Hanoi University of Science and Technology (HUST), Viet Nam

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3628797.3628804

Reference24 articles.

1. A Deep Learning Based System for Traffic Engineering in Software Defined Networks

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

3. Ahmad Azab , Mahmoud Khasawneh , Saed Alrabaee , Kim- Kwang Raymond Choo , and Maysa Sarsour . 2022. Network traffic classification: Techniques, datasets, and challenges. Digital Communications and Networks ( 2022 ). Ahmad Azab, Mahmoud Khasawneh, Saed Alrabaee, Kim-Kwang Raymond Choo, and Maysa Sarsour. 2022. Network traffic classification: Techniques, datasets, and challenges. Digital Communications and Networks (2022).

4. Roni Bar-Yanai Michael Langberg David Peleg and Liam Roditty. 2010. Realtime Classification for Encrypted Traffic. In The Sea. https://api.semanticscholar.org/CorpusID:39614129 Roni Bar-Yanai Michael Langberg David Peleg and Liam Roditty. 2010. Realtime Classification for Encrypted Traffic. In The Sea. https://api.semanticscholar.org/CorpusID:39614129

5. Early Recognition of Encrypted Applications

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1. Continuous Select-and-Prune Incremental Learning for Encrypted Traffic Classification in Distributed SDN Networks;2024 IEEE 49th Conference on Local Computer Networks (LCN);2024-10-08