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Quantified Attribute Access Control Model for Cloud Storage Platform

机译:云存储平台的量化属性访问控制模型

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Recently, cloud computing is the most domain studies in information technology. At the same time, the security of cloud computing becomes an important challenge. Existing access control models are poor on the granularity of the model elements and the dynamics which leads the security of the resource in cloud computing is limited. In this paper, a quantified attribute-based access control (QABAC) model is proposed. The concept of quantified attribute and trust degree is defined. Three attribute quantization functions are proposed for dynamically calculation, and the security degree of the access will be obtained. Finally the authorization policy determines final permission according to the trust degree. Compared with other traditional models, QABAC is flexible, extensible and dynamic. It will not only protect the security of resource among potential attack from network, but also has the capacity to meet the performance requirement in practical applications.
机译:最近,云计算是信息技术领域中研究最多的领域。同时,云计算的安全性成为一个重要的挑战。现有的访问控制模型在模型元素的粒度上很差,并且导致云计算中资源安全性的动态性受到限制。本文提出了一种基于属性的量化访问控制(QABAC)模型。定义了量化属性和信任度的概念。提出了三种属性量化函数进行动态计算,并获得访问的安全程度。最后,授权策略根据信任度确定最终许可。与其他传统模型相比,QABAC具有灵活性,可扩展性和动态性。它不仅可以保护潜在的网络攻击资源的安全性,而且具有满足实际应用中性能要求的能力。

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