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A data protection model for fog computing

机译:雾计算的数据保护模型

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摘要

Cloud computing has established itself as an alternative IT infrastructure and service model. However, as with all logically centralized resource and service provisioning infrastructures, cloud does not handle well local issues involving a large number of networked elements (IoTs) and it is not responsive enough for many applications that require immediate attention of a local controller. Fog computing preserves many benefits of cloud computing and it is also in a good position to address these local and performance issues because its resources and specific services are virtualized and located at the edge of the customer premise. However, data security is a critical challenge in fog computing especially when fog nodes and their data move frequently in its environment. This paper addresses the data protection and the performance issues by 1) proposing a Region-Based Trust-Aware (RBTA) model for trust translation among fog nodes of regions, 2) introducing a Fog-based Privacy-aware Role Based Access Control (FPRBAC) for access control at fog nodes, and 3) developing a mobility management service to handle changes of users and fog devices' locations. The implementation results demonstrate the feasibility and the efficiency of our proposed framework.
机译:云计算已将其自身确立为替代IT基础架构和服务模型。但是,与所有逻辑上集中的资源和服务供应基础结构一样,云无法很好地处理涉及大量网络元素(IoT)的本地问题,并且对于需要立即引起本地控制器注意的许多应用程序,它的响应能力不足。雾计算保留了云计算的许多好处,并且由于其资源和特定服务已虚拟化并位于客户所在地的边缘,因此也很适合解决这些本地和性能问题。但是,数据安全是雾计算中的关键挑战,尤其是当雾节点及其数据在其环境中频繁移动时。本文通过以下方法解决数据保护和性能问题:1)提出了一种基于区域的信任感知(RBTA)模型用于区域雾节点之间的信任转换; 2)引入了基于雾的基于隐私感知的基于角色的访问控制(FPRBAC) )用于雾节点的访问控制,以及3)开发移动性管理服务以处理用户和雾设备位置的更改。实施结果证明了我们提出的框架的可行性和效率。

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