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:	eng eng
Published:	2008
Subjects:	QA76 Computer software
Online Access:	https://etd.uum.edu.my/372/1/Mohammad_M._Rasheed.pdf https://etd.uum.edu.my/372/2/Mohammad_M._Rasheed.pdf
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id	my-uum-etd.372
record_format	uketd_dc
spelling	my-uum-etd.3722013-07-24T12:06:57Z Improving The Algorithm To Detect Internet Worms 2008-05-27 Rasheed, Mohmmad M College of Arts and Sciences (CAS) Faculty of Information Technology 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 Thesis https://etd.uum.edu.my/372/ https://etd.uum.edu.my/372/1/Mohammad_M._Rasheed.pdf application/pdf eng validuser https://etd.uum.edu.my/372/2/Mohammad_M._Rasheed.pdf application/pdf eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
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
qualification_name	masters
qualification_level	Master's degree
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
granting_institution	Universiti Utara Malaysia
granting_department	College of Arts and Sciences (CAS)
publishDate	2008
url	https://etd.uum.edu.my/372/1/Mohammad_M._Rasheed.pdf https://etd.uum.edu.my/372/2/Mohammad_M._Rasheed.pdf
_version_	1747826899596345344

Improving The Algorithm To Detect Internet Worms

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