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A Hybrid Deduplication for Secure and Efficient Data Outsourcing in Fog Computing

机译:用于雾计算中安全高效的数据外包的混合重复数据删除

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With prevalence of remote storage services, data privacy issues become more serious owing to loss of control to outsourced data. In the meanwhile, the service providers tend to minimize storage utility costs. To minimize the storage costs while preserving data privacy, secure deduplication techniques have been proposed, which are categorized into client-side or server-side approaches. Client-side approach achieves storage and bandwidth savings at the same time but allows external adversaries to know existence of duplicates in the remote storage. On the contrary, server-side one prevents the adversaries from getting acknowledged but sacrifices network bandwidth savings. In fog computing, however, which is a new computing paradigm extending the cloud computing by outsourcing a centralized workload of the cloud to geographically distributed fog devices located at the edge of the networks, the previous deduplication schemes cannot guarantee efficiency improvement and privacy preservation simultaneously. In this paper, we present a simple but nontrivial solution of these contradictory issues in fog storage. The proposed hybrid secure deduplication protocol combines client-and server-side deduplications by taking untrustworthy fog storage environments into account. The client-side deduplication is applied in inter-network (i.e., cloud-fog network) communications to prevent network congestion at the network core, while the server-side deduplication is adopted in intra-network (i.e., user-fog network) communications to prevent information leakage via side channels for maximal data privacy. Performance and security analyses demonstrate the comparable efficiency of the proposed scheme with security enhancement.
机译:随着远程存储服务的普及,由于对外包数据失去控制,数据隐私问题变得更加严重。同时,服务提供商倾向于将存储公用事业成本降到最低。为了在保持数据隐私的同时最小化存储成本,已经提出了安全的重复数据删除技术,其被分类为客户端或服务器端方法。客户端方法可同时实现存储和带宽节省,但允许外部对手知道远程存储中是否存在重复项。相反,服务器端阻止了对手的认可,但却牺牲了网络带宽的节省。但是,在雾计算中,这是一种新的计算范例,通过将云的集中工作负载外包给位于网络边缘的地理分布的雾设备来扩展云计算,以前的重复数据删除方案无法同时保证效率提高和隐私保护。在本文中,我们为雾存储中的这些矛盾问题提供了一个简单但不平凡的解决方案。所提出的混合安全重复数据删除协议通过考虑不可信的雾存储环境将客户端和服务器端重复数据删除组合在一起。客户端重复数据删除应用于网络间(即云雾网络)通信中,以防止网络核心处的网络拥塞,而服务器端重复数据删除则应用于网络内(即用户雾网络)通信中以防止信息通过侧边通道泄漏,从而最大程度地保护数据。性能和安全性分析表明,该方案在安全性增强方面具有可比的效率。

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