Presentation 2011-11-11
A Study on the Internet Traffic Classification Method based on Score-Level Fusion using Logistic Regression
Hiroaki MAEDA, Kentaro HOSHI, Masatsugu ICHINO, Naohisa KOMATSU,
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Abstract(in English) Network Traffic has increased rapidly by spreading high-speed internet. Moreover, the services provided over the internet become more diverse. In order to provide quality of each service, network administrators should identify the amount of traffic. Therefore, we study a method that classifies the traffic data into each service by using traffic feature. In this paper, we suggest the method based on score-level fusion using logistic regression, and the effectiveness by comparison with the result between this method and related works.
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Keyword(in English) traffic / QoS / service classification / pattern recognition / LPC cepstrum / Logistic Regression / Score-Level Fusion
Paper # CQ2011-52
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Committee CQ
Conference Date 2011/11/3(1days)
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Registration To Communication Quality (CQ)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on the Internet Traffic Classification Method based on Score-Level Fusion using Logistic Regression
Sub Title (in English)
Keyword(1) traffic
Keyword(2) QoS
Keyword(3) service classification
Keyword(4) pattern recognition
Keyword(5) LPC cepstrum
Keyword(6) Logistic Regression
Keyword(7) Score-Level Fusion
1st Author's Name Hiroaki MAEDA
1st Author's Affiliation Guraduate school of Fundamental Sience and Engineering, Waseda University()
2nd Author's Name Kentaro HOSHI
2nd Author's Affiliation Media Network Center, Waseda University
3rd Author's Name Masatsugu ICHINO
3rd Author's Affiliation Department of Informatics, Graduate School of Informatics and Engineering, The University of Electro-Communications
4th Author's Name Naohisa KOMATSU
4th Author's Affiliation Guraduate school of Fundamental Sience and Engineering, Waseda University
Date 2011-11-11
Paper # CQ2011-52
Volume (vol) vol.111
Number (no) 278
Page pp.pp.-
#Pages 6
Date of Issue