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A Novel Dynamic Cloud Service Trust Evaluation Model in Cloud Computing

机译:云计算中一种新型的动态云服务信任评估模型

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摘要

There are many different types of cloud services. How to choose the best cloud service for a specific application is a challenging issue. Using cloud services, users' private data could be exposed to a third party, which might not be trusted. In this paper, a dynamic cloud service trust evaluation model is proposed based on service-level agreement (SLA) and privacy-awareness. First, to make the final trust evaluation value more practical, the proposed model performs a comprehensive trust evaluation, which consists of direct, indirect, and reputation trust. Second, cloud services are divided into five levels based on their service capabilities. By analyzing SLA to determine the quality of service, the user can choose a suitable SLA. In order to protect data security of the cloud service user, we propose a data protection method based on a normal cloud model. Finally, we propose a dynamic trust update mechanism to update the direct trust. Experimental results based on a public dataset show that the proposed model effectively identifies the user community based on service preferences, improves the service requester's satisfaction, avoids malicious interference, and is accurate and feasible.
机译:有许多不同类型的云服务。如何为特定应用选择最佳的云服务是一个具有挑战性的问题。使用云服务,用户的私人数据可能会暴露给第三方,而第三方可能不会受到信任。本文提出了一种基于服务水平协议(SLA)和隐私感知的动态云服务信任评估模型。首先,为了使最终的信任评估值更加实用,所提出的模型执行了全面的信任评估,该评估包括直接信任,间接信任和信誉信任。其次,云服务根据其服务功能分为五个级别。通过分析SLA以确定服务质量,用户可以选择合适的SLA。为了保护云服务用户的数据安全,我们提出了一种基于常规云模型的数据保护方法。最后,我们提出了一种动态信任更新机制来更新直接信任。基于公共数据集的实验结果表明,该模型基于服务偏好有效地识别了用户社区,提高了服务需求者的满意度,避免了恶意干扰,是准确可行的。

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