Traffic Classification in Software-Defined Networking by Employing Deep Learning Techniques: A Systematic Literature Review

Author:

Nuñez-Agurto DanielORCID,Fuertes WalterORCID,Marrone LuisORCID,Benavides-Astudillo EduardoORCID,Vásquez-Bermúdez MitchellORCID

Publisher

Springer Nature Switzerland

Reference25 articles.

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2. Ayoubi, S., et al.: Machine learning for cognitive network management. IEEE Commun. Mag. 56(1), 158–165 (2018)

3. Kreutz, D., Ramos, F.M.V., Esteves Verissimo, P., Esteve Rothenberg, C., Azodolmolky, S., Uhlig, S.: Software-defined networking: a comprehensive survey. Proc. IEEE 103(1), 14–76 (2015)

4. Nunez-Agurto, D., Fuertes, W., Marrone, L., Macas, M.: Machine learning-based traffic classification in software-defined networking: a systematic literature review, challenges, and future research directions. IAENG Int. J. Comput. Sci. 49(4) (2022)

5. Xie, J., et al.: A survey of machine learning techniques applied to software defined networking (SDN): research issues and challenges. IEEE Commun. Surv. Tutorials 21(1), 393–430 (2019). CrossRef

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