mailto:uumlib@uum.edu.my 24x7 Service; AnyTime; AnyWhere

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

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.

[thumbnail of PID77.pdf]
Preview
PDF
Download (423kB) | Preview

Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN 978-983--44150-2-0 Organized by: UUM College of Arts and Sciences, Universiti Utara Malaysia.
Uncontrolled Keywords: Internet worm Detection, Firewall, Router.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Dr. Mohammed M. Kadhum
Date Deposited: 01 Apr 2015 06:36
Last Modified: 01 Apr 2015 06:36
URI: https://repo.uum.edu.my/id/eprint/13488

Actions (login required)

View Item View Item