Class specific features for attacks in network intrusion detection system
Most of the existing Intrusion Detection System (IDS) uses all the features to determine whether an input does have an intrusive pattern or otherwise. Some of these features are redundant and some have little contribution to the detection process. The purpose of this study is to identify small numbe...
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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
2008
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| Online Access: | http://eprints.utm.my/10691/1/AnazidaZainal2008_ClassSpesificFeaturesforAttacksinNetwork.pdf |
| _version_ | 1825910533851709440 |
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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 |
| collection | ePrints |
| description | Most of the existing Intrusion Detection System (IDS) uses all the features to determine whether an input does have an intrusive pattern or otherwise. Some of these features are redundant and some have little contribution to the detection process. The purpose of this study is to identify small number of significant features that can represent most of the attack types. Here, we used Kohonen SOM to classify the input data into their respective attack categories. Empirical results indicate that generic feature subset previously obtained is not suitable to represent all the attack categories. Instead, different categories of attacks best represented using different significant feature subset. |
| first_indexed | 2024-03-05T18:18:30Z |
| format | Article |
| id | utm.eprints-10691 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:18:30Z |
| publishDate | 2008 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | utm.eprints-106912017-11-01T04:17:23Z http://eprints.utm.my/10691/ Class specific features for attacks in network intrusion detection system Zainal, Anazida Maarof, Mohd. Aizaini Shamsuddin, Siti Mariyam QA75 Electronic computers. Computer science Most of the existing Intrusion Detection System (IDS) uses all the features to determine whether an input does have an intrusive pattern or otherwise. Some of these features are redundant and some have little contribution to the detection process. The purpose of this study is to identify small number of significant features that can represent most of the attack types. Here, we used Kohonen SOM to classify the input data into their respective attack categories. Empirical results indicate that generic feature subset previously obtained is not suitable to represent all the attack categories. Instead, different categories of attacks best represented using different significant feature subset. Penerbit UTM Press 2008-12 Article PeerReviewed application/pdf en http://eprints.utm.my/10691/1/AnazidaZainal2008_ClassSpesificFeaturesforAttacksinNetwork.pdf Zainal, Anazida and Maarof, Mohd. Aizaini and Shamsuddin, Siti Mariyam (2008) Class specific features for attacks in network intrusion detection system. Jurnal Teknologi Maklumat, 20 (3). pp. 14-27. ISSN 0128-3790 |
| spellingShingle | QA75 Electronic computers. Computer science Zainal, Anazida Maarof, Mohd. Aizaini Shamsuddin, Siti Mariyam Class specific features for attacks in network intrusion detection system |
| title | Class specific features for attacks in network intrusion detection system |
| title_full | Class specific features for attacks in network intrusion detection system |
| title_fullStr | Class specific features for attacks in network intrusion detection system |
| title_full_unstemmed | Class specific features for attacks in network intrusion detection system |
| title_short | Class specific features for attacks in network intrusion detection system |
| title_sort | class specific features for attacks in network intrusion detection system |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/10691/1/AnazidaZainal2008_ClassSpesificFeaturesforAttacksinNetwork.pdf |
| work_keys_str_mv | AT zainalanazida classspecificfeaturesforattacksinnetworkintrusiondetectionsystem AT maarofmohdaizaini classspecificfeaturesforattacksinnetworkintrusiondetectionsystem AT shamsuddinsitimariyam classspecificfeaturesforattacksinnetworkintrusiondetectionsystem |