DocumentCode
2850468
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
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CISE.2009.5365354
Filename
5365354
Link To Document