DocumentCode
532437
Title
Immune vaccination model apply to network intrusion defense
Author
Jiang, YaPing ; Li, Yang
Author_Institution
Sch. of Comput. & Commun. Eng., Zhengzhou Univ. of Light Ind., Zhengzhou, China
Volume
2
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Inspired information processing in biology immune system is a highly parallel and distributed intelligent computation which has immune memory, and self-learning, retrieval capabilities. The theory of modern immunology provides a new idea to study network intrusion defense algorithm. The architecture of network intrusion defense based on immune vaccination principle is proposed. The intrusion detection system can detect all intrusions, including known and unknown. The information of new intrusion, which gotten from current monitored network is encapsulated and sent to the other network as vaccine. So the other network can defense the same intrusion. The experimental results show that the new model actualizes an active and distributed prevention policy than that of the traditional passive intrusion prevention systems.
Keywords
biology computing; computer network security; distributed processing; information retrieval; medical computing; unsupervised learning; biology immune system information processing; distributed intelligent computation; distributed prevention policy; immune memory; immune vaccination model; network intrusion defense; parallel intelligent computation; passive intrusion prevention systems; self learning capability; Computational modeling; Vaccination; intrusion defense; network security;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5620524
Filename
5620524
Link To Document