A Systematic Approach for Temporal Traffic Selection Across Various Applications
Author:
Affiliation:
1. University of Texas at E1 Paso,Department of Computer Science,El Paso,Texas,USA
Funder
Army Research Office
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10230087/10230088/10230120.pdf?arnumber=10230120
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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