Enhancing SVM performance in intrusion detection using optimal feature subset selection based on gen...
Enhancing SVM performance in intrusion detection using optimal feature subset selection based on genetic principal components
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Author / Creator
Publisher
London: Springer London
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Language
English
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Publisher
London: Springer London
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Scope and Contents
Contents
Intrusion detection is very serious issue in these days because the prevention of intrusions depends on detection. Therefore, accurate detection of intrusion is very essential to secure information in computer and network systems of any organization such as private, public, and government. Several intrusion detection approaches are available but th...
Alternative Titles
Full title
Enhancing SVM performance in intrusion detection using optimal feature subset selection based on genetic principal components
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_crossref_primary_10_1007_s00521_013_1370_6
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1007_s00521_013_1370_6
Other Identifiers
ISSN
0941-0643
E-ISSN
1433-3058
DOI
10.1007/s00521-013-1370-6
