A new generation for intelligent anti-internet worm early system detection

Worm requires host computer with an address on the Internet and any of several vulnerabilities to create a big threat environment.We propose intelligent early system detection mechanism for detecting internet worm.The mechanism is combined of three techniques: Failure Connection Detection (FCD) whi...

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Main Authors: Rasheed, Mohammad M., Md Norwawi, Norita, M. Kadhum, Mohammed, Ghazali, Osman
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/13488/1/PID77.pdf
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author Rasheed, Mohammad M.
Md Norwawi, Norita
M. Kadhum, Mohammed
Ghazali, Osman
author_facet Rasheed, Mohammad M.
Md Norwawi, Norita
M. Kadhum, Mohammed
Ghazali, Osman
author_sort Rasheed, Mohammad M.
collection UUM
description Worm requires host computer with an address on the Internet and any of several vulnerabilities to create a big threat environment.We propose intelligent early system detection mechanism for detecting internet worm.The mechanism is combined of three techniques: Failure Connection Detection (FCD) which concerns with detecting the internet worm and stealthy worm in which computer infected by the worm by using Artificial Immune System; and the Traffic Signature Detection (TSD) which responsible for detecting traffic signature for the worm; and the DNA Filtering Detection (DNAFD) which converts traffic signature to DNA signature and sending it to all computer that connected with the router to create a firewall for new worms.Our proposed algorithm can detect difficult stealthy internet worm in addition to detecting unknown internet worm.
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spelling uum-134882015-04-01T06:36:23Z https://repo.uum.edu.my/id/eprint/13488/ A new generation for intelligent anti-internet worm early system detection Rasheed, Mohammad M. Md Norwawi, Norita M. Kadhum, Mohammed Ghazali, Osman QA76 Computer software Worm requires host computer with an address on the Internet and any of several vulnerabilities to create a big threat environment.We propose intelligent early system detection mechanism for detecting internet worm.The mechanism is combined of three techniques: Failure Connection Detection (FCD) which concerns with detecting the internet worm and stealthy worm in which computer infected by the worm by using Artificial Immune System; and the Traffic Signature Detection (TSD) which responsible for detecting traffic signature for the worm; and the DNA Filtering Detection (DNAFD) which converts traffic signature to DNA signature and sending it to all computer that connected with the router to create a firewall for new worms.Our proposed algorithm can detect difficult stealthy internet worm in addition to detecting unknown internet worm. 2009-06-24 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/13488/1/PID77.pdf Rasheed, Mohammad M. and Md Norwawi, Norita and M. Kadhum, Mohammed and Ghazali, Osman (2009) A new generation for intelligent anti-internet worm early system detection. In: International Conference on Computing and Informatics 2009 (ICOCI09), 24-25 June 2009, Legend Hotel, Kuala Lumpur. http://www.icoci.cms.net.my
spellingShingle QA76 Computer software
Rasheed, Mohammad M.
Md Norwawi, Norita
M. Kadhum, Mohammed
Ghazali, Osman
A new generation for intelligent anti-internet worm early system detection
title A new generation for intelligent anti-internet worm early system detection
title_full A new generation for intelligent anti-internet worm early system detection
title_fullStr A new generation for intelligent anti-internet worm early system detection
title_full_unstemmed A new generation for intelligent anti-internet worm early system detection
title_short A new generation for intelligent anti-internet worm early system detection
title_sort new generation for intelligent anti internet worm early system detection
topic QA76 Computer software
url https://repo.uum.edu.my/id/eprint/13488/1/PID77.pdf
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