关键词: 访问控制, 区间值模糊推理, 自适应, 安全策略, 普适计算

Abstract: Context information is one of the key factors in pervasive access control systems, and produces the decisive influence on authorization and permission control on the subjects in pervasive computing environments. The security threshold intensity and the security policies should rectify according to the changes of context information, which has not been taken into consideration by traditional access control models, not fitting for the pervasive computing environment. In order to deeply adapt to the pervasive computing environment, the idea of security threshold intensity and security policies adjusted according to the changes of context information is proposed. A context related production rules based on the interval-valued fuzzy theory are produced, and a simple efficient interval value fuzzy access control method is designed to improve the adaptivity of the security threshold intensity and security policies in pervasive computing systems.

Key words: access control, interval-valued fuzzy reasoning, adaptivity, security policy, pervasive computing