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

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
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id my-utm-ep.34672
record_format uketd_dc
spelling my-utm-ep.346722013-12-16T08:15:20Z An efficient on-line hurst parameter estimator for detecting volume-based network intrusion attacks 2008 Idris, Mohd. Yazid QA75 Electronic computers. Computer science 2008 Thesis http://eprints.utm.my/id/eprint/34672/ phd doctoral Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
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
description
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
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
granting_institution Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department Faculty of Computer Science and Information System
publishDate 2008
_version_ 1747816231300235264

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