Title :
A dynamic model of intrusion prevention based on vaccine
Author :
Yaping Jiang ; Junwei Zhao
Author_Institution :
Sch. of Comput. & Commun. Eng., Zhengzhou Univ. of Light Ind., Zhengzhou, China
Abstract :
The theory of modern immunology provides a new idea to study network intrusion detection and defense system. In view of the problem in the existing intrusion detection system such as poor collaboration, the low detection efficiency and so on, a dynamic model of intrusion prevention based on vaccine is proposed in this paper, in which the evolution process of self, antigen, antibody and vaccine is time-varying. The fitness of antibodies in the model is improved by vaccines with the result that the detection performance of the model is improved significantly. The experimental results show that the new model actualizes an active and dynamic prevention policy than that of the traditional passive intrusion prevention systems.
Keywords :
drug delivery systems; drugs; molecular biophysics; proteins; active prevention policy; antibodies; antigen; defense system; detection efficiency; dynamic model; dynamic prevention policy; evolution process; intrusion detection system; intrusion prevention; modern immunology theory; network intrusion detection; vaccine; Adaptation models; Computational modeling; Computers; Heuristic algorithms; Immune system; Intrusion detection; Vaccines; IDS; artificial immune system; network defense; vaccine;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2013 6th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2760-9
DOI :
10.1109/BMEI.2013.6747006
