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
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;
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
DOI :
10.1109/ICCASM.2010.5620524