Unsupervised anomaly detection using HDG-clustering algorithm

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

Volumn 4985 LNCS, Issue PART 2, 2008, Pages 356-365

  Tsai, Cheng Fa ^a   Yen, Chia Chen ^a  

^a NATIONAL PINGTUNG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Anomaly detection; Data clustering; Data mining; Intrusion detection; Unsupervised anomaly detection

Indexed keywords

BOOLEAN FUNCTIONS; CLUSTERING ALGORITHMS; DECISION SUPPORT SYSTEMS; FLOW OF SOLIDS; INFORMATION MANAGEMENT; INTERNET; MINING; NETWORK PROTOCOLS; SENSOR NETWORKS;

ANOMALY DETECTION; ANOMALY DETECTIONS; CLUSTERING; DATA CLUSTERING; DATA MINING; DATA SETS; LABELED DATUM; LABELED TRAINING DATUM; NETWORK ENVIRONMENTS; NETWORK INTRUSION DETECTIONS; SECURITY THREATS; UNLABELED DATUM; UNSUPERVISED ANOMALY DETECTION;

INTRUSION DETECTION;

EID: 54049125096     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69162-4_37     Document Type: Conference Paper

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