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...
Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2009
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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. |
first_indexed | 2024-07-04T05:52:51Z |
format | Conference or Workshop Item |
id | uum-13488 |
institution | Universiti Utara Malaysia |
language | English |
last_indexed | 2024-07-04T05:52:51Z |
publishDate | 2009 |
record_format | eprints |
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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