Finding granular features using rough-PSO in IDS
Most of the existing IDS use all the features in network traffic to evaluate and look for known intrusive pallerns. Unfortunately, such system suffers a lengthy detection procedure. Serious implication may incur to a host computer or network due to delay in diagnosis. Feature reduction improves the...
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| Format: | Conference or Workshop Item |
| Language: | en |
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2007
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| Online Access: | http://eprints.utm.my/10107/1/AnazidaZainal2007_FindingGranularFeaturesUsingRoughPSOinIDS.pdf http://eprints.utm.my/10107/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:102821 |
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| _version_ | 1845472308375846912 |
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| author | Zainal, Anazida Maarof, Mohd. Aizaini Shamsuddin, Siti Mariyam |
| author_facet | Zainal, Anazida Maarof, Mohd. Aizaini Shamsuddin, Siti Mariyam |
| author_sort | Zainal, Anazida |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Most of the existing IDS use all the features in network traffic to evaluate and look for known intrusive pallerns. Unfortunately, such system suffers a lengthy detection procedure. Serious implication may incur to a host computer or network due to delay in diagnosis. Feature reduction improves the speed of data manipulation and classification rate by reducing the influence of noise. Besides, selecting important features from input data leads to a simplification of a problem, faster and more accurate detection rates. The purpose of this paper is to investigate the effectiveness of the Rough Set and Particle Swarm (PSG) in feature selection. Support Vector Machine (SVM) was used as a classifier. Data used in this experiment was originally obtained from dataset created by DARPA in the framework ofthe 1998 Intrusion Detection Evaluation Program. Six significantfeatures were proposed by Rough-PSG. |
| format | Conference or Workshop Item |
| id | my.utm.eprints-10107 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2007 |
| record_format | eprints |
| spelling | my.utm.eprints-101072020-02-29T13:43:29Z http://eprints.utm.my/10107/ Finding granular features using rough-PSO in IDS Zainal, Anazida Maarof, Mohd. Aizaini Shamsuddin, Siti Mariyam QA75 Electronic computers. Computer science Most of the existing IDS use all the features in network traffic to evaluate and look for known intrusive pallerns. Unfortunately, such system suffers a lengthy detection procedure. Serious implication may incur to a host computer or network due to delay in diagnosis. Feature reduction improves the speed of data manipulation and classification rate by reducing the influence of noise. Besides, selecting important features from input data leads to a simplification of a problem, faster and more accurate detection rates. The purpose of this paper is to investigate the effectiveness of the Rough Set and Particle Swarm (PSG) in feature selection. Support Vector Machine (SVM) was used as a classifier. Data used in this experiment was originally obtained from dataset created by DARPA in the framework ofthe 1998 Intrusion Detection Evaluation Program. Six significantfeatures were proposed by Rough-PSG. 2007 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/10107/1/AnazidaZainal2007_FindingGranularFeaturesUsingRoughPSOinIDS.pdf Zainal, Anazida and Maarof, Mohd. Aizaini and Shamsuddin, Siti Mariyam (2007) Finding granular features using rough-PSO in IDS. In: Fifth International Conference on Information Technology in Asia 2007, 9-12th July 2007, Kuching, Sarawak, Malaysia. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:102821 |
| spellingShingle | QA75 Electronic computers. Computer science Zainal, Anazida Maarof, Mohd. Aizaini Shamsuddin, Siti Mariyam Finding granular features using rough-PSO in IDS |
| title | Finding granular features using rough-PSO in IDS |
| title_full | Finding granular features using rough-PSO in IDS |
| title_fullStr | Finding granular features using rough-PSO in IDS |
| title_full_unstemmed | Finding granular features using rough-PSO in IDS |
| title_short | Finding granular features using rough-PSO in IDS |
| title_sort | finding granular features using rough-pso in ids |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/10107/1/AnazidaZainal2007_FindingGranularFeaturesUsingRoughPSOinIDS.pdf http://eprints.utm.my/10107/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:102821 |
| url_provider | http://eprints.utm.my/ |