Hiroki TAKAKURA


A Comparative Study of Unsupervised Anomaly Detection Techniques Using Honeypot Data
Jungsuk SONG Hiroki TAKAKURA Yasuo OKABE Daisuke INOUE Masashi ETO Koji NAKAO 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2010/09/01
Vol. E93-D  No. 9  pp. 2544-2554
Type of Manuscript:  PAPER
Category: Information Network
Keyword: 
intrusion detection systemunsupervised machine learning techniquesreal traffic datavarious evaluation criteria
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Unsupervised Anomaly Detection Based on Clustering and Multiple One-Class SVM
Jungsuk SONG Hiroki TAKAKURA Yasuo OKABE Yongjin KWON 
Publication:   IEICE TRANSACTIONS on Communications
Publication Date: 2009/06/01
Vol. E92-B  No. 6  pp. 1981-1990
Type of Manuscript:  PAPER
Category: Fundamental Theories for Communications
Keyword: 
intrusion detection systemclusteringone-class SVManomaly detection
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A Clustering Method for Improving Performance of Anomaly-Based Intrusion Detection System
Jungsuk SONG Kenji OHIRA Hiroki TAKAKURA Yasuo OKABE Yongjin KWON 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2008/05/01
Vol. E91-D  No. 5  pp. 1282-1291
Type of Manuscript:  Special Section PAPER (Special Section on Information and Communication System Security)
Category: Network Security
Keyword: 
intrusion detection systemclusteringdetection ratefalse positive rate
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A Generation Method for Virtual Hypermedia Maps by Applying Co-existence Rules
Hiroki TAKAKURA Takashi KURODA Yahiko KAMBAYASHI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 1999/01/25
Vol. E82-D  No. 1  pp. 120-127
Type of Manuscript:  Special Section PAPER (Special Issue on New Generation Database Technologies)
Category: Spatial and Temporal Databases
Keyword: 
geographical databasesthesaurusesco-existencedynamic map synthesis
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