Evaluation of the Effect of Preprocessing Data on Network Traffic Classifier Based on ML Methods for Qos Predication in Real-Time-Reference-Cited by-同舟云学术

Evaluation of the Effect of Preprocessing Data on Network Traffic Classifier Based on ML Methods for Qos Predication in Real-Time

Published:2021 Issue: Volume: Page:55-64
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Mankov Vladimir A.,Deart Vladimir Yu.,Krasnova Irina A.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-67133-4_5

Reference12 articles.

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2. Kaur, J., Agrawal, S., Sohi, B.S.: Internet traffic classification for educational institutions using machine learning. Int. J. Intell. Syst. Appl. (IJISA) 4, 36–45 (2012). https://doi.org/10.5815/ijisa.2012.08.05

3. Almubayed, A., Hadi, A., Atoum, J.: A model for detecting tor encrypted traffic using supervised machine learning. Int. J. Comput. Netw. Inf. Secur. (IJCNIS) 7, 10–23 (2015). https://doi.org/10.5815/ijcnis.2015.07.02

4. Mankov, V.A., Krasnova, I.A.: Algorithm for dynamic classification of flows in a multiservice software defined network. T-Comm 11(12), 37–42 (2017). (in Russian)

5. Alothman, B.: Raw network traffic data preprocessing and preparation for automatic analysis. In: 2019 International Conference on Cyber Security and Protection of Digital Services (Cyber Security), pp. 1–5 (2019). https://doi.org/10.1109/CyberSecPODS.2019.8885333

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