Presentation 2005-11-17
Detection of Worm-Infected Hosts by Communication Pattern Analysis
Tatsuya MORI, Ryoichi KAWAHARA, Noriaki KAMIYAMA, Keisuke ISHIBASHI, Takeo ABE,
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Abstract(in English) This paper develops a new method, which detects worm-infected hosts through the analysis of communication pattern of each host. Our approach follows a two-stage strategy. We first introduce the quantitative definition of communication pattern. We show that the worm-infected hosts exhibit intrinsic characteristics of communication pattern, and they can be classified from those of other hosts, through the cluster analysis. We then propose a method to detect worm-infected hosts by applying the defined communication pattern to the Naive Bayesian Classifier (NBC). We validate the accuracy of our method with measured traffic data.
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Keyword(in English) measurement / worm / detection / communication pattern / cluster analysis / Bayesian Classification
Paper # NS2005-113,CQ2005-67,TM2005-28
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Committee CQ
Conference Date 2005/11/10(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) Detection of Worm-Infected Hosts by Communication Pattern Analysis
Sub Title (in English)
Keyword(1) measurement
Keyword(2) worm
Keyword(3) detection
Keyword(4) communication pattern
Keyword(5) cluster analysis
Keyword(6) Bayesian Classification
1st Author's Name Tatsuya MORI
1st Author's Affiliation NTT Service Integration Laboratories()
2nd Author's Name Ryoichi KAWAHARA
2nd Author's Affiliation NTT Service Integration Laboratories
3rd Author's Name Noriaki KAMIYAMA
3rd Author's Affiliation NTT Service Integration Laboratories
4th Author's Name Keisuke ISHIBASHI
4th Author's Affiliation NTT Information Platform Sharing Laboratories
5th Author's Name Takeo ABE
5th Author's Affiliation NTT Service Integration Laboratories
Date 2005-11-17
Paper # NS2005-113,CQ2005-67,TM2005-28
Volume (vol) vol.105
Number (no) 406
Page pp.pp.-
#Pages 6
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