EDOWA worm classification

Worms have become a real threat for computer users for the past few years. Worm is more prevalent today than ever before, and both home users and system administrators need to be on the alert to protect their network or company against attacks. It is coming out so fast these days that even the most...

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Main Authors: Madihah, Mohd Saudi,, Siti Aishah, Md Nor,, Kamaruzzaman, Seman,
Format: Conference Paper
Language:en_US
Published: Int Assoc Engineers-Iaeng 2015
Subjects:
Online Access:http://ddms.usim.edu.my/handle/123456789/8936
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spelling my.usim-89362015-08-05T02:13:41Z EDOWA worm classification Madihah, Mohd Saudi, Siti Aishah, Md Nor, Kamaruzzaman, Seman, classification payload worm and worm analysis Worms have become a real threat for computer users for the past few years. Worm is more prevalent today than ever before, and both home users and system administrators need to be on the alert to protect their network or company against attacks. It is coming out so fast these days that even the most accurate scanners cannot track all of the new ones. Indeed until now there is no specific way to classify the worm. To understand the threats posed by the worms, this research had been carried out. In this paper the researchers proposed a new way to classify the worms which later is used as the basis to build up a system which is called as the EDOWA system to detect worms attack. Details on how the new worm of classification which is called as EDOWA worm classification is produced are explained in this paper. Hopefully this new worm classification can be used as the basis model to produce a system either to detect or defend organization from worms attack. 2015-08-05T02:13:41Z 2015-08-05T02:13:41Z 2008 Conference Paper 978-988-98671-9-5 http://ddms.usim.edu.my/handle/123456789/8936 en_US Int Assoc Engineers-Iaeng
institution Universiti Sains Islam Malaysia
building USIM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universit Sains Islam i Malaysia
content_source USIM Institutional Repository
url_provider http://ddms.usim.edu.my/
language en_US
topic classification
payload
worm and worm analysis
spellingShingle classification
payload
worm and worm analysis
Madihah, Mohd Saudi,
Siti Aishah, Md Nor,
Kamaruzzaman, Seman,
EDOWA worm classification
description Worms have become a real threat for computer users for the past few years. Worm is more prevalent today than ever before, and both home users and system administrators need to be on the alert to protect their network or company against attacks. It is coming out so fast these days that even the most accurate scanners cannot track all of the new ones. Indeed until now there is no specific way to classify the worm. To understand the threats posed by the worms, this research had been carried out. In this paper the researchers proposed a new way to classify the worms which later is used as the basis to build up a system which is called as the EDOWA system to detect worms attack. Details on how the new worm of classification which is called as EDOWA worm classification is produced are explained in this paper. Hopefully this new worm classification can be used as the basis model to produce a system either to detect or defend organization from worms attack.
format Conference Paper
author Madihah, Mohd Saudi,
Siti Aishah, Md Nor,
Kamaruzzaman, Seman,
author_facet Madihah, Mohd Saudi,
Siti Aishah, Md Nor,
Kamaruzzaman, Seman,
author_sort Madihah, Mohd Saudi,
title EDOWA worm classification
title_short EDOWA worm classification
title_full EDOWA worm classification
title_fullStr EDOWA worm classification
title_full_unstemmed EDOWA worm classification
title_sort edowa worm classification
publisher Int Assoc Engineers-Iaeng
publishDate 2015
url http://ddms.usim.edu.my/handle/123456789/8936
_version_ 1645152503935795200
score 13.160551