Trust-based Authorization Model on Interval-valued Fuzzy Sets Theory

被引:0
|
作者
Fu Zheng-Fang [1 ]
机构
[1] Ankang Univ, Dept Phys & Comp Sci, Ankang 725000, Shaanxi, Peoples R China
关键词
Pervasive computing; Access Control; Trust degree; Role; Fuzzy synthetic judgment method; Fuzzy clustering;
D O I
10.1109/WCICA.2008.4593321
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Role-based access control (RBAC) has been generally accepted as one of the most promising access control policies, and it has become a hot research topic in information security area. However, traditional RBAC model is not completely fit for the access control in pervasive computing environment. In this paper, trust management technology is introduced on the basis of traditional access control model and the role-trust based access control model on interval-valued fuzzy sets theory (RTBAC) is proposed. It evaluates the trust degree of subjects according to interval-valued fuzzy theory and the access control policy is made by the trust level of the subjects who request to access. The subjects with higher trust degree and reliability are classified into higher trust level, and then the role-assign procedure assigns the trust level to a corresponding role. So it meets the requirements of pervasive computing environment better.
引用
收藏
页码:2530 / 2535
页数:6
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