A novel generalized framework for access control based on the immune mechanism

Author

Wang, Lei ; Yin, Caiyan ; Dong, Han

Author_Institution

Sch. of Comput. Sci. & Eng., Xi´´an Univ. of Technol., Xi´´an

fYear

2008

fDate

25-27 June 2008

Firstpage

1427

Lastpage

1432

Abstract

Generalized framework for access control (GFAC) is a classical multi-policies supporting mechanism, but its efficiency markedly declines after enforcing several policy modules. Considering the efficiency of GFAC, a novel access control framework based on immunity (IGFAC) is constructed with employing multiple principles and mechanisms of the artificial immune system, such as the immune recognition, the immune learning and the immune memory. With the simulation research and many experiments, it shows that IGFAC is able to improve the performance of the original GFAC, and especially, it has some capabilities of self-adaptive and diversity behaviors.

Keywords

artificial immune systems; authorisation; learning (artificial intelligence); artificial immune system; diversity behavior; generalized framework for access control; immune learning; immune memory; immune recognition; self-adaptive behavior; Access control; Artificial immune systems; Automation; Computer science; Control systems; Data security; ISO; Information security; Intelligent control; Internet; Access control; artificial immune system; information security; self-adaptive;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4593131

Filename

4593131