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Intelligent signature detection for scanning Internet Worms

Worms are widely regarded to be a major security threat faced by the Internet today. Active worms spread in an automated fashion, which can flood the Internet in a very short time, Incidents such as Conficker worm, detected in November 2008, a computer worm targeting the Microsoft Windows operating...

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Bibliographic Details
Main Authors:	Rasheed M.M., Ghazali O.,, Norwawi N.M.
Format:	Article
Language:	English
Published:	2017
Subjects:	Firewall; Generate signatures; Internet worm detection; Router
Online Access:	http://ddms.usim.edu.my:80/jspui/handle/123456789/15355
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id	my.usim-15355
record_format	dspace
spelling	my.usim-153552017-10-31T04:50:27Z Intelligent signature detection for scanning Internet Worms Rasheed M.M., Ghazali O., Norwawi N.M. Firewall; Generate signatures; Internet worm detection; Router Worms are widely regarded to be a major security threat faced by the Internet today. Active worms spread in an automated fashion, which can flood the Internet in a very short time, Incidents such as Conficker worm, detected in November 2008, a computer worm targeting the Microsoft Windows operating system, once infected 15 million hosts. In this study, we detect DNA signature by scanning internet worm using three algorithms. The first part, Intelligent Failure Connection Algorithm (IFCA) by using Artificial Immune System, is concerned with detecting the internet worm and stealthy worm in which computer infected by the worm. The second part, Traffic Signature Algorithm (TSA), is concerned with capturing traffic signature for the worm from infector computer. Finally, the third stage is DNA Converter Signature (DNACS) which converts traffic signature to DNA signature and sends it to DNA Filtering. In this study, we show that our proposed technique can detect DNA signature for MSBlaster worm. © 2012 Asian Network for Scientific Information. 2017-10-31T04:50:27Z 2017-10-31T04:50:27Z 2012 Article 18125638 http://ddms.usim.edu.my:80/jspui/handle/123456789/15355 en
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	English
topic	Firewall; Generate signatures; Internet worm detection; Router
spellingShingle	Firewall; Generate signatures; Internet worm detection; Router Rasheed M.M., Ghazali O., Norwawi N.M. Intelligent signature detection for scanning Internet Worms
description	Worms are widely regarded to be a major security threat faced by the Internet today. Active worms spread in an automated fashion, which can flood the Internet in a very short time, Incidents such as Conficker worm, detected in November 2008, a computer worm targeting the Microsoft Windows operating system, once infected 15 million hosts. In this study, we detect DNA signature by scanning internet worm using three algorithms. The first part, Intelligent Failure Connection Algorithm (IFCA) by using Artificial Immune System, is concerned with detecting the internet worm and stealthy worm in which computer infected by the worm. The second part, Traffic Signature Algorithm (TSA), is concerned with capturing traffic signature for the worm from infector computer. Finally, the third stage is DNA Converter Signature (DNACS) which converts traffic signature to DNA signature and sends it to DNA Filtering. In this study, we show that our proposed technique can detect DNA signature for MSBlaster worm. © 2012 Asian Network for Scientific Information.
format	Article
author	Rasheed M.M., Ghazali O., Norwawi N.M.
author_facet	Rasheed M.M., Ghazali O., Norwawi N.M.
author_sort	Rasheed M.M., Ghazali O.,
title	Intelligent signature detection for scanning Internet Worms
title_short	Intelligent signature detection for scanning Internet Worms
title_full	Intelligent signature detection for scanning Internet Worms
title_fullStr	Intelligent signature detection for scanning Internet Worms
title_full_unstemmed	Intelligent signature detection for scanning Internet Worms
title_sort	intelligent signature detection for scanning internet worms
publishDate	2017
url	http://ddms.usim.edu.my:80/jspui/handle/123456789/15355
_version_	1645153897289875456
score	13.211869

Intelligent signature detection for scanning Internet Worms

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