A Systematic Approach for Temporal Traffic Selection Across Various Applications

Author:

Sharmin Nazia1,Acosta Jaime1,Kiekintveld Christopher1

Affiliation:

1. University of Texas at E1 Paso,Department of Computer Science,El Paso,Texas,USA

Funder

Army Research Office

Publisher

IEEE

Reference13 articles.

1. Fingerprinting encrypted network traffic types using machine learning

2. On Traffic Patterns of HTTP Applications

3. Person-alized service degradation policies on ott applications based on the consumption behavior of users;rojas;International Conference on Computational Science and its Applications,2018

4. An Improved Network Traffic Classification Model Based on a Support Vector Machine

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