A robust supervised machine learning based approach for offline-online traffic classification of software-defined networking
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s12083-023-01605-7.pdf
Reference53 articles.
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3. Sheikh MS, Peng Y (2022) Procedures, Criteria, and Machine Learning Techniques for Network Traffic Classification: A Survey. IEEE Access 10:61135–61158. https://doi.org/10.1109/ACCESS.2022.3181135
4. Fares O, Dandoush A, Aitsaadi N (2022) OPR: SDN-based Optimal Path Routing within Transit Autonomous System Networks. in ICC 2022 - IEEE Int Conf Commun. pp 1058–1063. https://doi.org/10.1109/ICC45855.2022.9839243
5. Shahraki A, Abbasi M, Taherkordi A, Jurcut AD (2022) Active Learning for Network Traffic Classification: A Technical Study. IEEE Transactions on Cognitive Communications and Networking 8(1):422–439. https://doi.org/10.1109/TCCN.2021.3119062
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