Intelligent failure connection algorithm for detecting internet worms
Morris worm showed the Internet community for the first time in 1988 that a worm could bring the Internet down in hours.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 mech...
| Autori principali: | , , , |
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| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
Dr. Sang H. Lee
2009
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| Soggetti: | |
| Accesso online: | https://repo.uum.edu.my/id/eprint/3910/1/WOR.pdf |
| _version_ | 1825740235426758656 |
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| author | M. Rasheed, Mohammad Md Norwawi, Norita Ghazali, Osman M. Kadhum, Mohammed |
| author_facet | M. Rasheed, Mohammad Md Norwawi, Norita Ghazali, Osman M. Kadhum, Mohammed |
| author_sort | M. Rasheed, Mohammad |
| collection | UUM |
| description | Morris worm showed the Internet community for the first time in 1988 that a worm could bring the Internet down in hours.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 of our technique is concerned with detecting the internet worm and stealthy internet worm.The average of failure connections by using Artificial Immune System (AIS) is the main factor that our technique depends on in detecting the worm. In this paper, we show that our algorithm can detect new types of worms. This paper shows
that intelligent Failure Connection Algorithm (IFCA) operation is faster than traditional algorithm in detecting worms. |
| first_indexed | 2024-07-04T05:23:19Z |
| format | Article |
| id | uum-3910 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:23:19Z |
| publishDate | 2009 |
| publisher | Dr. Sang H. Lee |
| record_format | eprints |
| spelling | uum-39102017-01-04T04:03:19Z https://repo.uum.edu.my/id/eprint/3910/ Intelligent failure connection algorithm for detecting internet worms M. Rasheed, Mohammad Md Norwawi, Norita Ghazali, Osman M. Kadhum, Mohammed QA76 Computer software Morris worm showed the Internet community for the first time in 1988 that a worm could bring the Internet down in hours.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 of our technique is concerned with detecting the internet worm and stealthy internet worm.The average of failure connections by using Artificial Immune System (AIS) is the main factor that our technique depends on in detecting the worm. In this paper, we show that our algorithm can detect new types of worms. This paper shows that intelligent Failure Connection Algorithm (IFCA) operation is faster than traditional algorithm in detecting worms. Dr. Sang H. Lee 2009-05 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/3910/1/WOR.pdf M. Rasheed, Mohammad and Md Norwawi, Norita and Ghazali, Osman and M. Kadhum, Mohammed (2009) Intelligent failure connection algorithm for detecting internet worms. International Journal of Computer Science and Network Security (IJCSNS), 9 (5). pp. 280-285. ISSN 1738-7906 http://paper.ijcsns.org/07_book/200905/20090537.pdf |
| spellingShingle | QA76 Computer software M. Rasheed, Mohammad Md Norwawi, Norita Ghazali, Osman M. Kadhum, Mohammed Intelligent failure connection algorithm for detecting internet worms |
| title | Intelligent failure connection algorithm for detecting internet worms |
| title_full | Intelligent failure connection algorithm for detecting internet worms |
| title_fullStr | Intelligent failure connection algorithm for detecting internet worms |
| title_full_unstemmed | Intelligent failure connection algorithm for detecting internet worms |
| title_short | Intelligent failure connection algorithm for detecting internet worms |
| title_sort | intelligent failure connection algorithm for detecting internet worms |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/3910/1/WOR.pdf |
| work_keys_str_mv | AT mrasheedmohammad intelligentfailureconnectionalgorithmfordetectinginternetworms AT mdnorwawinorita intelligentfailureconnectionalgorithmfordetectinginternetworms AT ghazaliosman intelligentfailureconnectionalgorithmfordetectinginternetworms AT mkadhummohammed intelligentfailureconnectionalgorithmfordetectinginternetworms |