Presentation 2007-05-18
Proposal of the cyber attack detection model based on multivariate analysis
Yuto SAKAI, Koichiro RINSAKA, Tadashi DOHI,
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Abstract(in English) In many computer network systems, in order to secure an information security, the intrusion detection systems (IDS) are installed. The present paper proposes the framework for detecting illegal access using the audit data observed on the host machine. More precisely, many types of audit events cluster into fewer groups through both the qualification method IV and the cluster analysis. Our aim is improving the cyber-attack detection accuracy in the case where attack activities are intermingled with normal activities. In the simulation experiments, we show the effectiveness of the proposed method as compared with the existing cyber-attack detection method based on the Markov chain.
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Keyword(in English) illegal access / statistical attack detection / multivariate analysis / quantification method / cluster analysis
Paper # R2007-8
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Committee R
Conference Date 2007/5/11(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Proposal of the cyber attack detection model based on multivariate analysis
Sub Title (in English)
Keyword(1) illegal access
Keyword(2) statistical attack detection
Keyword(3) multivariate analysis
Keyword(4) quantification method
Keyword(5) cluster analysis
1st Author's Name Yuto SAKAI
1st Author's Affiliation Department of Information Engineering, Graduate School of Engineering, Hiroshima University()
2nd Author's Name Koichiro RINSAKA
2nd Author's Affiliation Faculty of Business Administration, Kobe Gakuin University
3rd Author's Name Tadashi DOHI
3rd Author's Affiliation Department of Information Engineering, Graduate School of Engineering, Hiroshima University
Date 2007-05-18
Paper # R2007-8
Volume (vol) vol.107
Number (no) 43
Page pp.pp.-
#Pages 6
Date of Issue