Encrypted traffic classification based on Gaussian mixture models and Hidden Markov Models

Author:

Yao Zhongjiang,Ge Jingguo,Wu Yulei,Lin Xiaosheng,He Runkang,Ma Yuxiang

Funder

National Science and Technology Major Project of the Ministry of Science and Technology of China

National Key R&D Plan

Science and Technology Service Network Initiative (STS) Project of Chinese Academy of Science

Henan Association for Science and Technology

Key Scientific and Technological Project of Henan Province

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference31 articles.

1. Multi-classification approaches for classifying mobile app traffic;Aceto;J. Netw. Comput. Appl.,2018

2. Mimetic: mobile encrypted traffic classification using multimodal deep learning;Aceto;Comput. Network.,2019

3. Bayesian neural networks for internet traffic classification;Auld;IEEE Trans. Neural Network.,2007

4. Hedge: efficient traffic classification of encrypted and compressed packets;Casino;IEEE Trans. Inf. Forensics Secur.,2019

5. Predicting future traffic using hidden markov models;Chen,2016

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