Presentation 2011-07-26
P2P Network Traffic Analysis Using Data Mining Engines
Tao BAN, Shanqing GUO, Mahashi ETO, Daisuke INOUE, Koji NAKAO,
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Abstract(in English) Characterization of P2P traffic is an essential step before developing workload models towards network capacity planning and counterattacking cyberthreats over P2P networks. In this paper, we present a study on applying data mining techniques to characterize File-Sharing P2P (FSP2P) applications. The proposed scheme supports performance tuning between monitoring cost and system response time. And with the feature selection method presented in this paper, it is further improved towards a lightweight and highly reliable network monitoring and analysis system.
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Keyword(in English) Application behavior analysis / entropy / feature selection / network monitoring / P2P protocol
Paper # NC2011-41
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Committee NC
Conference Date 2011/7/18(1days)
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Registration To Neurocomputing (NC)
Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) P2P Network Traffic Analysis Using Data Mining Engines
Sub Title (in English)
Keyword(1) Application behavior analysis
Keyword(2) entropy
Keyword(3) feature selection
Keyword(4) network monitoring
Keyword(5) P2P protocol
1st Author's Name Tao BAN
1st Author's Affiliation National Institute of Information and Communications Technology()
2nd Author's Name Shanqing GUO
2nd Author's Affiliation Shandong University
3rd Author's Name Mahashi ETO
3rd Author's Affiliation National Institute of Information and Communications Technology
4th Author's Name Daisuke INOUE
4th Author's Affiliation National Institute of Information and Communications Technology
5th Author's Name Koji NAKAO
5th Author's Affiliation National Institute of Information and Communications Technology
Date 2011-07-26
Paper # NC2011-41
Volume (vol) vol.111
Number (no) 157
Page pp.pp.-
#Pages 4
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