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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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Main Authors: Zainal, Anazida, Maarof, Mohd. Aizaini, Shamsuddin, Siti Mariyam
Format: Article
Language:English
Published: Penerbit UTM Press 2008
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/10691/1/AnazidaZainal2008_ClassSpesificFeaturesforAttacksinNetwork.pdf
http://eprints.utm.my/id/eprint/10691/
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spelling my.utm.106912017-11-01T04:17:23Z http://eprints.utm.my/id/eprint/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/id/eprint/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
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Zainal, Anazida
Maarof, Mohd. Aizaini
Shamsuddin, Siti Mariyam
Class specific features for attacks in network intrusion detection system
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.
format Article
author Zainal, Anazida
Maarof, Mohd. Aizaini
Shamsuddin, Siti Mariyam
author_facet Zainal, Anazida
Maarof, Mohd. Aizaini
Shamsuddin, Siti Mariyam
author_sort Zainal, Anazida
title Class specific features for attacks in network intrusion detection system
title_short 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_sort class specific features for attacks in network intrusion detection system
publisher Penerbit UTM Press
publishDate 2008
url http://eprints.utm.my/id/eprint/10691/1/AnazidaZainal2008_ClassSpesificFeaturesforAttacksinNetwork.pdf
http://eprints.utm.my/id/eprint/10691/
_version_ 1643645469947068416
score 13.211869

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