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Effective Packet Number for 5G IM WeChat Application at Early Stage Traffic Classification
Joint Authors
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-14
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Telecommunications Engineering
Abstract EN
Accurate network traffic classification at early stage is very important for 5G network applications.
During the last few years, researchers endeavored hard to propose effective machine learning model for classification of Internet traffic applications at early stage with few packets.
Nevertheless, this essential problem still needs to be studied profoundly to find out effective packet number as well as effective machine learning (ML) model.
In this paper, we tried to solve the above-mentioned problem.
For this purpose, five Internet traffic datasets are utilized.
Initially, we extract packet size of 20 packets and then mutual information analysis is carried out to find out the mutual information of each packet on n flow type.
Thereafter, we execute 10 well-known machine learning algorithms using crossover classification method.
Two statistical analysis tests, Friedman and Wilcoxon pairwise tests, are applied for the experimental results.
Moreover, we also apply the statistical tests for classifiers to find out effective ML classifier.
Our experimental results show that 13–19 packets are the effective packet numbers for 5G IM WeChat application at early stage network traffic classification.
We also find out effective ML classifier, where Random Forest ML classifier is effective classifier at early stage Internet traffic classification.
American Psychological Association (APA)
Shafiq, Muhammad& Yu, Xiangzhan. 2017. Effective Packet Number for 5G IM WeChat Application at Early Stage Traffic Classification. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-22.
https://search.emarefa.net/detail/BIM-1189000
Modern Language Association (MLA)
Shafiq, Muhammad& Yu, Xiangzhan. Effective Packet Number for 5G IM WeChat Application at Early Stage Traffic Classification. Mobile Information Systems No. 2017 (2017), pp.1-22.
https://search.emarefa.net/detail/BIM-1189000
American Medical Association (AMA)
Shafiq, Muhammad& Yu, Xiangzhan. Effective Packet Number for 5G IM WeChat Application at Early Stage Traffic Classification. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-22.
https://search.emarefa.net/detail/BIM-1189000
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189000