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Improving The Algorithm To Detect Internet Worms

Worm detection and response systems must act quickly to identify and quarantine scanning worms, as when left unchecked such worms have been able to infect the majority of vulnerable hosts on the Internet in a matter of minutes [53]. Active worm spread in an automated fashion and can flood the inter...

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Bibliographic Details
Main Author: Rasheed, Mohmmad M
Format: Thesis
Language:English
English
Published: 2008
Subjects:
QA76 Computer software
Online Access:http://etd.uum.edu.my/372/1/Mohammad_M._Rasheed.pdf
http://etd.uum.edu.my/372/2/Mohammad_M._Rasheed.pdf
http://etd.uum.edu.my/372/
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spelling my.uum.etd.3722013-07-24T12:06:57Z http://etd.uum.edu.my/372/ Improving The Algorithm To Detect Internet Worms Rasheed, Mohmmad M QA76 Computer software Worm detection and response systems must act quickly to identify and quarantine scanning worms, as when left unchecked such worms have been able to infect the majority of vulnerable hosts on the Internet in a matter of minutes [53]. Active worm spread in an automated fashion and can flood the internet in a very short time. The aim of this project is to improved algorithm to detect internet worm by two sub algorithm. The first is detecting the internet worm and the second is detecting stealth internet worm. A new equation created for depending on the average failure connection. The study based on the comparison and analysis of many worm detection and containment strategies. The principle of this effective algorithm is an improved two rotation process to detect and contain all types of internet worms. 2008-05-27 Thesis NonPeerReviewed application/pdf en http://etd.uum.edu.my/372/1/Mohammad_M._Rasheed.pdf application/pdf en http://etd.uum.edu.my/372/2/Mohammad_M._Rasheed.pdf Rasheed, Mohmmad M (2008) Improving The Algorithm To Detect Internet Worms. Masters thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
topic QA76 Computer software
spellingShingle QA76 Computer software
Rasheed, Mohmmad M
Improving The Algorithm To Detect Internet Worms
description Worm detection and response systems must act quickly to identify and quarantine scanning worms, as when left unchecked such worms have been able to infect the majority of vulnerable hosts on the Internet in a matter of minutes [53]. Active worm spread in an automated fashion and can flood the internet in a very short time. The aim of this project is to improved algorithm to detect internet worm by two sub algorithm. The first is detecting the internet worm and the second is detecting stealth internet worm. A new equation created for depending on the average failure connection. The study based on the comparison and analysis of many worm detection and containment strategies. The principle of this effective algorithm is an improved two rotation process to detect and contain all types of internet worms.
format Thesis
author Rasheed, Mohmmad M
author_facet Rasheed, Mohmmad M
author_sort Rasheed, Mohmmad M
title Improving The Algorithm To Detect Internet Worms
title_short Improving The Algorithm To Detect Internet Worms
title_full Improving The Algorithm To Detect Internet Worms
title_fullStr Improving The Algorithm To Detect Internet Worms
title_full_unstemmed Improving The Algorithm To Detect Internet Worms
title_sort improving the algorithm to detect internet worms
publishDate 2008
url http://etd.uum.edu.my/372/1/Mohammad_M._Rasheed.pdf
http://etd.uum.edu.my/372/2/Mohammad_M._Rasheed.pdf
http://etd.uum.edu.my/372/
_version_ 1644276147312132096
score 13.211869

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