Title :
Adaptive Intrusion Tolerance Strategy of the System Based on Artificial Immune
Author :
Cui, Zhilei ; Lu, Xi ; Wang, Jine
Author_Institution :
Electron. Inf. Dept., Suzhou Vocational Univ., Suzhou, China
Abstract :
A new idea for studying the ability for computer to bear and process viruses after suffering from the intrusion of the viruses was discussed in this paper. This ability was named intrusion tolerance. Starting from the intrusions, capturing the behavioral characteristics and dynamically adopting different strategies enable the system to continue to provide security services. In the mean time, applying artificial intelligence to intrusion tolerant system can adaptively adjust and learn according to the extent of damage caused by attack. Establishing behavioral database was proposed for the first time. This method can avoid updating a large number of virus database frequently, realize the coordinative detection and early warning among the different servers and further improves the ability for computer to prevent and process the viruses.
Keywords :
artificial immune systems; artificial intelligence; authorisation; computer viruses; adaptive intrusion tolerance strategy; artificial immune; artificial intelligence; computer virus; security service; Artificial immune systems; Artificial intelligence; Computer security; Computer viruses; Data security; Databases; Humans; Immune system; Pathogens; Resists;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5365354