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Artificial Neural Network Approaches to Intrusion Detection: A Review

Intrusion detection systems are the foremost tools for providing safety in computer and network system. There are many limitations in traditional IDSs like time consuming statistical analysis, regular updating, non adaptive, accuracy and flexibility. It is an Artificial Neural Network that supports...

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Main Authors: Ahmad, iftikhar, Azween, Abdullah, Alghamdi, Abdullah
Other Authors: Ahmad, Iftikhar
Format: Book Section
Published: World Scientific and Engineering Academy and Society (WSEAS) Stevens Point, Wisconsin, USA 2009
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utp.edu.my/496/1/ANNAIDS.pdf
http://portal.acm.org/citation.cfm?id=1561731.1561770#
http://eprints.utp.edu.my/496/
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spelling my.utp.eprints.4962017-01-19T08:25:23Z Artificial Neural Network Approaches to Intrusion Detection: A Review Ahmad, iftikhar Azween, Abdullah Alghamdi, Abdullah QA75 Electronic computers. Computer science Intrusion detection systems are the foremost tools for providing safety in computer and network system. There are many limitations in traditional IDSs like time consuming statistical analysis, regular updating, non adaptive, accuracy and flexibility. It is an Artificial Neural Network that supports an ideal specification of an Intrusion Detection System and is a solution to the problems of traditional IDSs. Therefore, An Artificial Neural Network inspired by nervous system has become an interesting tool in the applications of Intrusion Detection Systems due to its promising features. Intrusion detection by Artificial Neural Networks is an ongoing area. In this paper, we provide an introduction and review of the Artificial Neural Network Approaches within Intrusion Detection, in addition to make suggestions for future research. We also discuss on tools and datasets that are being used in Artificial Neural Network Intrusion Detection Systems. This review may help the researcher to develop new optimize approach in the field of Intrusion Detection. World Scientific and Engineering Academy and Society (WSEAS) Stevens Point, Wisconsin, USA Ahmad, Iftikhar Azween, Abdullah Alghamdi, Abdullah 2009-05-30 Book Section PeerReviewed application/pdf http://eprints.utp.edu.my/496/1/ANNAIDS.pdf http://portal.acm.org/citation.cfm?id=1561731.1561770# Ahmad, iftikhar and Azween, Abdullah and Alghamdi, Abdullah (2009) Artificial Neural Network Approaches to Intrusion Detection: A Review. In: TELECOMMUNICATIONS and INFORMATICS. World Scientific and Engineering Academy and Society (WSEAS) Stevens Point, Wisconsin, USA , pp. 200-205. ISBN ISBN ~ ISSN:1790-5117 , 978-960-474-084-0. http://eprints.utp.edu.my/496/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ahmad, iftikhar
Azween, Abdullah
Alghamdi, Abdullah
Artificial Neural Network Approaches to Intrusion Detection: A Review
description Intrusion detection systems are the foremost tools for providing safety in computer and network system. There are many limitations in traditional IDSs like time consuming statistical analysis, regular updating, non adaptive, accuracy and flexibility. It is an Artificial Neural Network that supports an ideal specification of an Intrusion Detection System and is a solution to the problems of traditional IDSs. Therefore, An Artificial Neural Network inspired by nervous system has become an interesting tool in the applications of Intrusion Detection Systems due to its promising features. Intrusion detection by Artificial Neural Networks is an ongoing area. In this paper, we provide an introduction and review of the Artificial Neural Network Approaches within Intrusion Detection, in addition to make suggestions for future research. We also discuss on tools and datasets that are being used in Artificial Neural Network Intrusion Detection Systems. This review may help the researcher to develop new optimize approach in the field of Intrusion Detection.
author2 Ahmad, Iftikhar
author_facet Ahmad, Iftikhar
Ahmad, iftikhar
Azween, Abdullah
Alghamdi, Abdullah
format Book Section
author Ahmad, iftikhar
Azween, Abdullah
Alghamdi, Abdullah
author_sort Ahmad, iftikhar
title Artificial Neural Network Approaches to Intrusion Detection: A Review
title_short Artificial Neural Network Approaches to Intrusion Detection: A Review
title_full Artificial Neural Network Approaches to Intrusion Detection: A Review
title_fullStr Artificial Neural Network Approaches to Intrusion Detection: A Review
title_full_unstemmed Artificial Neural Network Approaches to Intrusion Detection: A Review
title_sort artificial neural network approaches to intrusion detection: a review
publisher World Scientific and Engineering Academy and Society (WSEAS) Stevens Point, Wisconsin, USA
publishDate 2009
url http://eprints.utp.edu.my/496/1/ANNAIDS.pdf
http://portal.acm.org/citation.cfm?id=1561731.1561770#
http://eprints.utp.edu.my/496/
_version_ 1738655072117587968
score 13.211869

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