作　　者： ; ;

机构地区： 广东海洋大学信息学院

出　　处： 《计算机工程与设计》 2011年第8期2604-2607,共4页

摘　　要： 提出了一种新的基于模糊信任的访问控制模型TACMF,通过模糊推理量化信任关系,能更好地解决网格系统动态不确定性资源的安全访问问题。运用模糊理论对信任定量化的描述机制,定义了直接及声誉信任的评估方式,量化资源站点的信任索引,以准确刻画资源域的可信度。当进行信任为基础的决策时,实体之间可以参考推荐代理的信任评价。分析实验结果表明,该评估方式能够有效评估网格信任模型的可信性,使系统调度失败率下降,大大缩短了用户应用程序执行的等待时间。 A new access control model based on fuzzy trust is presented, which quantifies the trust relationship by fuzzy reasoning to solve the uncertainty problem of dynamic grid system. A new description mechanism to quantify trust relationship is proposed by fuzzy theory, a direct evaluation specification of reputation and trust is defined, and the reliability of resource fields more exactly in terms of trust index of fuzzy evaluation of resource stations is described. When a policy is made based on mast, the trust evaluation of recommended agents become good references for entities. Experimental results and performance analysis show that this assessment method can improve the reliability of grid trust models apparently, and it decreases the failure ratio of system scheduling effectively and waiting time of user applications greatly.

关 键 词： 网格 模糊推理 声誉 信任索引 访问控制 信任管理

领　　域： [自动化与计算机技术] [自动化与计算机技术]