Anomaly detection using Support Vector Machine classification with k-Medoids clustering

Asian Himalayas International Conference on Internet

Volumn , Issue , 2012, Pages

  Chitrakar, Roshan ^a   Chuanhe, Huang ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Anomaly Detection; k medoids Clustering; Na ve Bayes Classification; Support Vector Machine

Indexed keywords

ANOMALY BASED INTRUSION DETECTION SYSTEMS; ANOMALY DETECTION; BAYES CLASSIFICATION; CLASSIFICATION SCHEME; CLUSTERING TECHNIQUES; DETECTION RATES; FALSE POSITIVE RATES; HIGH QUALITY; HYBRID APPROACH; K-MEANS; K-MEDOIDS; K-MEDOIDS CLUSTERING; LEARNING METHODS; NEW APPROACHES; SUPPORT VECTOR MACHINE CLASSIFICATION;

INTERNET; INTRUSION DETECTION; SUPPORT VECTOR MACHINES;

CLASSIFICATION (OF INFORMATION);

EID: 84873558396     PISSN: 21570647     EISSN: 2157068X     Source Type: Conference Proceeding    
DOI: 10.1109/AHICI.2012.6408446     Document Type: Conference Paper

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