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A dynamic risk-based access control architecture for cloud computing

机译:动态的基于风险的云计算访问控制架构

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Cloud computing is a distributed computing model that still faces problems. New ideas emerge to take advantage of its features and among the research challenges found in the cloud, we can highlight Identity and Access Management. The main problems of the application of access control in the cloud are the necessary flexibility and scalability to support a large number of users and resources in a dynamic and heterogeneous environment, with collaboration and information sharing needs. This paper proposes the use of risk-based dynamic access control for cloud computing. The proposal is presented as an access control model based on an extension of the XACML standard with three new components: the Risk Engine, the Risk Quantification Web Services and the Risk Policies. The risk policies present a method to describe risk metrics and their quantification, using local or remote functions. The risk policies allow users and cloud service providers to define how to handle risk-based access control for their resources, using different quantification and aggregation methods. The model reaches the access decision based on a combination of XACML decisions and risk analysis. A prototype of the model is implemented, showing it has enough expressivity to describe the models of related work. In the experimental results, the prototype takes between 2 and 6 milliseconds to reach access decisions using a risk policy. A discussion on the security aspects of the model is also presented.
机译:云计算是仍然面临问题的分布式计算模型。利用它的功能出现了新的想法,在云中发现的研究挑战中,我们可以重点介绍身份和访问管理。在云中应用访问控制的主要问题是必需的灵活性和可伸缩性,以在具有协作和信息共享需求的动态异构环境中支持大量用户和资源。本文提出将基于风险的动态访问控制用于云计算。该提案作为基于XACML标准扩展的访问控制模型提出,具有三个新组件:风险引擎,风险量化Web服务和风险策略。风险策略提供了一种使用本地或远程功能描述风险指标及其量化的方法。风险策略允许用户和云服务提供商使用不同的量化和聚合方法来定义如何为他们的资源处理基于风险的访问控制。该模型基于XACML决策和风险分析的组合得出访问决策。该模型的原型已实现,表明它具有足够的表达力来描述相关工作的模型。在实验结果中,原型需要2到6毫秒的时间才能使用风险策略达成访问决策。还介绍了该模型的安全性方面的讨论。

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