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
Link To Document :
بازگشت