An efficient on-line hurst parameter estimator for detecting volume-based network intrusion attacks

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Bibliographic Details
Main Author:	Idris, Mohd. Yazid
Format:	Thesis
Published:	2008
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/id/eprint/34672/
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Institution:	Universiti Teknologi Malaysia

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spelling	my.utm.346722013-12-16T08:15:20Z http://eprints.utm.my/id/eprint/34672/ An efficient on-line hurst parameter estimator for detecting volume-based network intrusion attacks Idris, Mohd. Yazid QA75 Electronic computers. Computer science 2008 Thesis NonPeerReviewed Idris, Mohd. Yazid (2008) An efficient on-line hurst parameter estimator for detecting volume-based network intrusion attacks. PhD thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information System.
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/
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Idris, Mohd. Yazid An efficient on-line hurst parameter estimator for detecting volume-based network intrusion attacks
format	Thesis
author	Idris, Mohd. Yazid
author_facet	Idris, Mohd. Yazid
author_sort	Idris, Mohd. Yazid
title	An efficient on-line hurst parameter estimator for detecting volume-based network intrusion attacks
title_short	An efficient on-line hurst parameter estimator for detecting volume-based network intrusion attacks
title_full	An efficient on-line hurst parameter estimator for detecting volume-based network intrusion attacks
title_fullStr	An efficient on-line hurst parameter estimator for detecting volume-based network intrusion attacks
title_full_unstemmed	An efficient on-line hurst parameter estimator for detecting volume-based network intrusion attacks
title_sort	efficient on-line hurst parameter estimator for detecting volume-based network intrusion attacks
publishDate	2008
url	http://eprints.utm.my/id/eprint/34672/
_version_	1643649641635381248

An efficient on-line hurst parameter estimator for detecting volume-based network intrusion attacks

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