IEICE SEARCH SYSTEM

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 system, unsupervised machine learning techniques, real traffic data, various 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 system, clustering, one-class SVM, anomaly 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 system, clustering, detection rate, false 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: 1999/01/20 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 databases, thesauruses, co-existence, dynamic map synthesis,
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