基于区间值加权模糊推理的访问控制模型  

Access control model based on weighted interval-valued fuzzy reasoning

作　　者：吴茜[1] 叶永升[2] 李苑青[3] 

机构地区：[1]安徽医科大学公共基础学院计算机系,合肥230032 [2]淮北师范大学数学科学学院,安徽淮北235000 [3]安徽医科大学现代教育技术中心,合肥230032

出　　处：《计算机应用研究》2012年第10期3842-3845,共4页Application Research of Computers

基　　金：安徽医科大学校科研资助项目(2010xkj034);安徽省高等学校自然科学研究计划资助项目(KJ2008A028)

摘　　要：普适计算已被国内外学术界和工业界公认为未来计算的主流模式,其安全问题是信息安全的一个基础问题。传统的访问控制模型从系统的角度出发保护资源,在进行权限的控制时没有考虑上下文信息等因素。为了满足普适计算环境下访问控制策略的动态自适应性以及上下文信息的模糊不确定性,应用模糊集合理论与模糊推理方法,提出一种基于区间值加权模糊推理的访问控制模型;给出加权模糊匹配函数公式与区间值加权模糊推理方法,实现访问控制策略与实际安全需求的一致性。Pervasive computing has been recognized as the future of mainstream computing model in the whole academic and industry,its security issue is the foundation of information security issues.However,the traditional access control models take a system-centric view of protecting resources,and they don＇t take the context into account when controlling the permissions.In order to meet the need of dynamic access control policies and fuzzy uncertain context of pervasive computing,this paper introduced an access control model,which based on the theory of fuzzy set and the method of weighted interval-valued fuzzy reasoning.Besides that,it applied weighted fuzzy matching function and interval-valued weighted fuzzy reasoning method to realize the consistency between the access control policy and the actual need of security.

关 键 词：普适计算 访问控制模型 上下文 区间值模糊推理 

分 类 号：TP393.04[自动化与计算机技术—计算机应用技术]