Trust-aware Cloudlet Federation Model for Secure Service Selection

Vaneeza Shahid, Muhammad Ziad Nayyer, Usama Ahmed
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Abstract

The introduction of Edge computing has pushed the horizon to the edge of the network and the user’s proximity. The openness of data on the edge raised many issues about the security of data. Although edge computing is an extension of the cloud, besides this, its solutions to handle security threats are different from cloud computing because of its architectural dissimilarities. There is a need for a comprehensive mechanism to ensure the choice of secure service. For this purpose, the combination of trust would be a better approach to deal with the service selection tasks in edge computing. In this paper, a trust-aware cloudlet federation model has been proposed which ultimately helps in the safe service selection of an edge node. Before using a service ‘A’ of any edge node, the trust value of the edge node for service ‘A’ should be calculated, called Service Trust Value (STV). Then the edge nodes with a higher STV for service ‘A’ are filtered. Lastly, the model will select the edge node with a satisfactory value of trust for service ‘A’. This proposed model will be beneficial in secure service selection.
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用于安全服务选择的可信感知的Cloudlet联合模型
边缘计算的引入将地平线推到了网络和用户接近的边缘。边缘数据的开放性引发了许多关于数据安全性的问题。边缘计算虽然是云的延伸,但由于其架构的不同,其处理安全威胁的解决方案与云计算不同。需要一种全面的机制来确保安全服务的选择。因此,结合信任是处理边缘计算中服务选择任务的较好方法。本文提出了一种基于信任感知的云联合模型,该模型最终有助于边缘节点的安全服务选择。在使用任何边缘节点的服务“a”之前,应计算该边缘节点对服务“a”的信任值,称为服务信任值(service trust value, STV)。然后对服务“a”具有较高STV的边缘节点进行过滤。最后,模型将为服务“a”选择具有满意信任值的边缘节点。该模型将有利于安全服务的选择。
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