A Cyber-Attack Detection Model Based on Multivariate Analyses
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概要
- 論文の詳細を見る
In the present paper, we propose a novel cyber-attack detection model based on two multivariate-analysis methods to the audit data observed on a host machine. The statistical techniques used here are the well-known Hayashis quantification method IV and cluster analysis method. We quantify the observed qualitative audit event sequence via the quantification method IV, and collect similar audit event sequence in the same groups based on the cluster analysis. It is shown in simulation experiments that our model can improve the cyber-attack detection accuracy in some realistic cases where both normal and attack activities are intermingled.
- （社）電子情報通信学会の論文
- 2009-07-01
著者
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DOHI Tadashi
Department of Information Engineering, Hiroshima University
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Dohi Tadashi
Department Of Information Engineering Graduate School Of Engineering Hiroshima University
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SAKAI Yuto
Department of Information Engineering, Graduate School of Engineering, Hiroshima University
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RINSAKA Koichiro
Faculty of Business Administration, Kobe Gakuin University
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Sakai Yuto
Department Of Information Engineering Graduate School Of Engineering Hiroshima University
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Rinsaka Koichiro
Faculty Of Business Administration Kobe Gakuin University
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