RFSE-GRU: Data Balanced Classification Model for Mobile Encrypted Traffic in Big Data Environment
Author:
Affiliation:
1. Department of Information Security Engineering, Graduate School of Natural and Applied Sciences, Gazi University, Ankara, Turkey
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10057377.pdf?arnumber=10057377
Reference43 articles.
1. Hybrid multicriteria fuzzy classification of network traffic patterns, anomalies, and protocols
2. Identification of application in encrypted traffic by using machine learning;acarman;Proc Int Conf Man-Mach Interact,2018
3. A cost-sensitive deep learning based approach for network traffic classification
4. Encrypted Traffic Classification Based on Text Convolution Neural Networks
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