G-Means: A clustering algorithm for intrusion detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5506 LNCS, Issue PART 1, 2009, Pages 563-570

  Zhao, Zhonghua ^a   Guo, Shanqing ^a   Xu, Qiuliang ^a   Ban, Tao ^b  

^a SHANDONG UNIVERSITY   (China)

^b NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY INTRUSION DETECTION; CLUSTER CENTROIDS; CLUSTERING TECHNIQUES; DATA SETS; DENSITY-BASED CLUSTERING; DETECTION ABILITY; FALSE POSITIVE RATES; HIGH DETECTION RATE; K-MEANS; NUMBER OF CLUSTERS; RESEARCH EFFORTS;

CLUSTERING ALGORITHMS; DATA PROCESSING; HEURISTIC ALGORITHMS;

INTRUSION DETECTION;

EID: 70349159962     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02490-0_69     Document Type: Conference Paper

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