DocumentCode
508970
Title
A Worm Detection Model Based on Artificial Immunology
Author
Wen Chen ; Tao Li ; Yuanquan Shi ; Yanming Fu
Author_Institution
Sch. of Comput. Sci., Sichuan Univ., Chengdu, China
Volume
1
fYear
2009
fDate
21-22 Nov. 2009
Firstpage
64
Lastpage
67
Abstract
The target of worm attacking is the whole Internet; usually, the defense of worm intrusion based on single computer cannot work well when facing large scale of worms´ attacking, so it cannot assure the network security all the time. Inspired by the collaboration of the immune cells, we apply the artificial immunology theory to the design of the active worm defense model AI-WDM, in which the computer network constitute an immune network and each computer in the network working as a detection node, they corporate with each other to defense the intrusion of worms while running detection processes independently.
Keywords
Internet; artificial immune systems; computer network security; invasive software; Internet; active worm defense model; artificial immuned based worm detection model; computer network; network security; Application software; Artificial intelligence; Computer networks; Computer security; Computer worms; Detectors; Genetic mutations; Immune system; Information technology; Intrusion detection; artificial immunology; network security; worm;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location
Nanchang
Print_ISBN
978-0-7695-3859-4
Type
conf
DOI
10.1109/IITA.2009.112
Filename
5368851
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