Features selection for intrusion detection systems based on support vector machines

2009 6th IEEE Consumer Communications and Networking Conference, CCNC 2009

Volumn , Issue , 2009, Pages

  Zaman, Safaa ^a   Karray, Fakhri ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Features ranking; Features selection; Intrusion detection systems; Support vector decision function; Support vector machines

Indexed keywords

BACKWARD ELIMINATIONS; CLASSIFICATION ACCURACIES; COMPUTATIONAL RESOURCES; DARPA DATASET; DETECTION ACCURACIES; FEATURES RANKING; FEATURES SELECTION; FORWARD SELECTIONS; INTRUSION DETECTION SYSTEMS; LARGE AMOUNTS OF DATUM; REDUNDANT FEATURES; SIMPLE METHODS; SUPPORT VECTOR DECISION FUNCTION; SYSTEM ACCURACIES; TESTING TIME; TRAINING AND TESTING; TRAINING TIME;

COMPUTER CRIME; FEATURE EXTRACTION; IMAGE RETRIEVAL; SUPPORT VECTOR MACHINES; VECTORS;

INTRUSION DETECTION;

EID: 63749126820     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCNC.2009.4784780     Document Type: Conference Paper

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