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Reseach Article

Article:Discriminant Analysis based Feature Selection in KDD Intrusion Dataset

by Dr.S.Siva Sathya, Dr. R.Geetha Ramani, K.Sivaselvi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 31 - Number 11
Year of Publication: 2011
Authors: Dr.S.Siva Sathya, Dr. R.Geetha Ramani, K.Sivaselvi
10.5120/3938-5527

Dr.S.Siva Sathya, Dr. R.Geetha Ramani, K.Sivaselvi . Article:Discriminant Analysis based Feature Selection in KDD Intrusion Dataset. International Journal of Computer Applications. 31, 11 ( October 2011), 1-7. DOI=10.5120/3938-5527

@article{ 10.5120/3938-5527,
author = { Dr.S.Siva Sathya, Dr. R.Geetha Ramani, K.Sivaselvi },
title = { Article:Discriminant Analysis based Feature Selection in KDD Intrusion Dataset },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 31 },
number = { 11 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume31/number11/3938-5527/ },
doi = { 10.5120/3938-5527 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:17:52.272041+05:30
%A Dr.S.Siva Sathya
%A Dr. R.Geetha Ramani
%A K.Sivaselvi
%T Article:Discriminant Analysis based Feature Selection in KDD Intrusion Dataset
%J International Journal of Computer Applications
%@ 0975-8887
%V 31
%N 11
%P 1-7
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Intrusion detection system (IDS) plays a major role in providing network security by analyzing the network traffic log and classifying the records as attack or normal behavior. Generally, as each log record is characterized by a large set of features, an Intrusion Detection System consumes large computational power and time for the classification process. Hence, feature reduction becomes mandatory before attack classification for any IDS. Discriminant analysis is a technique which can be used for selecting important features in large set of features. In this paper, important features of KDD Cup ‘99 attack dataset are obtained using discriminant analysis method and used for classification of attacks. The results of discriminant analysis show that classification is done with minimum error rate with the reduced feature set.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Discriminant analysis KDD Cup ’99 attack dataset classification features relevance minimum error rate SPSS