基于信任的云计算访问控制系统的设计与实现

Design and implementation of cloud computing access control system based on trust

为了解决传统层次分析法(AHP)无法对信任值进行快速准确计算的缺点,构建了客户和供应商的信任值评估模型,并引入神经网络的相关方法对客户和供应商访问控制中的信任值进行计算。仿真结果表明,相对于AHP评价法,BP神经网络具有较高的计算正确率和较短的计算时间,可以大大提高云计算的安全性。

In order to overcome the shortcoming that the traditional analytic hierarchy process(AHP) can′t calculate the trust value quickly and accurately,the trust value evaluation model of the client and supplier was constructed,and the related method based on neural network was introduced to calculate the trust value of the client and supplier access control. The simula?tion results show that,in comparison with the AHP evaluation method,the method based on BP neural network has higher calcu?lation accuracy and shorter calculation time,and can improve the security of the cloud computing greatly.