Evaluating Intrusion Detection Approaches Using a Multi-criteria Decision Making Technique

We can witness the growing interest of researchers in the field of intrusion detection because a single attack can easily cause a big harm to the computer or network system. A number of intrusion detection approaches are available to tackle this issue but it is hard to identity that which approach i...

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Main Authors: I. , Ahmad, Azween, Abdullah
Format: Citation Index Journal
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.2229 /
Published: IJISCE 2010
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Online Access: http://eprints.utp.edu.my/2229/1/AUSJ-ahmad.pdf
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spelling utp-eprints.22292017-03-20T01:59:54Z Evaluating Intrusion Detection Approaches Using a Multi-criteria Decision Making Technique I. , Ahmad Azween, Abdullah QA75 Electronic computers. Computer science We can witness the growing interest of researchers in the field of intrusion detection because a single attack can easily cause a big harm to the computer or network system. A number of intrusion detection approaches are available to tackle this issue but it is hard to identity that which approach is most suitable. Therefore, we have addressed this issue in this paper that which approach should be adopted in intrusion detection systems. The current paper explains the concepts, tools and methodologies being used to evaluate different intrusion detection approaches by a multi-criteria decision making technique such as Analytical Hierarchy Process (AHP). The present study indicates that artificial neural network approach is most suitable to tackle the current issues of intrusion detection systems such as regular updating, detection rate, false positive, false negative, suitability and adaptability IJISCE 2010-05 Citation Index Journal PeerReviewed application/pdf http://eprints.utp.edu.my/2229/1/AUSJ-ahmad.pdf http://www.ijisce.org/search.php?titlesrc=&authorsrc=azween&yearsrc=&x=38&y=8 I. , Ahmad and Azween, Abdullah (2010) Evaluating Intrusion Detection Approaches Using a Multi-criteria Decision Making Technique. [Citation Index Journal] http://eprints.utp.edu.my/2229/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
I. , Ahmad
Azween, Abdullah
Evaluating Intrusion Detection Approaches Using a Multi-criteria Decision Making Technique
description We can witness the growing interest of researchers in the field of intrusion detection because a single attack can easily cause a big harm to the computer or network system. A number of intrusion detection approaches are available to tackle this issue but it is hard to identity that which approach is most suitable. Therefore, we have addressed this issue in this paper that which approach should be adopted in intrusion detection systems. The current paper explains the concepts, tools and methodologies being used to evaluate different intrusion detection approaches by a multi-criteria decision making technique such as Analytical Hierarchy Process (AHP). The present study indicates that artificial neural network approach is most suitable to tackle the current issues of intrusion detection systems such as regular updating, detection rate, false positive, false negative, suitability and adaptability
format Citation Index Journal
author I. , Ahmad
Azween, Abdullah
author_sort I. , Ahmad
title Evaluating Intrusion Detection Approaches Using a Multi-criteria Decision Making Technique
title_short Evaluating Intrusion Detection Approaches Using a Multi-criteria Decision Making Technique
title_full Evaluating Intrusion Detection Approaches Using a Multi-criteria Decision Making Technique
title_fullStr Evaluating Intrusion Detection Approaches Using a Multi-criteria Decision Making Technique
title_full_unstemmed Evaluating Intrusion Detection Approaches Using a Multi-criteria Decision Making Technique
title_sort evaluating intrusion detection approaches using a multi-criteria decision making technique
publisher IJISCE
publishDate 2010
url http://eprints.utp.edu.my/2229/1/AUSJ-ahmad.pdf
http://www.ijisce.org/search.php?titlesrc=&authorsrc=azween&yearsrc=&x=38&y=8
http://eprints.utp.edu.my/2229/
_version_ 1741196056614404096
score 11.62408