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

机译:雾化计算中安全有效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流行,由于对外包数据的控制丧失,数据隐私问题变得更加严重。同时,服务提供商倾向于最大限度地减少存储实用程序成本。为了在保留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,该技术被分类为客户端或服务器侧方法。客户端方法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的重复存在的存在。相反,服务器端一个人阻止对手得到承认但牺牲网络带宽节省。然而,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式雾设备来扩展云计算,以前的重复数据删除方案不能同时保证效率提高和隐私保存。在本文中,我们在雾储存中展示了这些矛盾问题的简单但不变的解决方案。建议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来组合客户端和服务器端的重复保存。客户端重复数据删除应用于网络间(即,云雾网络)通信,以防止网络核心的网络拥塞,而在网络内(即,用户迷雾网络)通信中采用服务器侧重复数据删除通过侧视通道防止信息泄漏以获得最大数据隐私。性能和安全分析展示了拟议方案具有安全增强的可比效率。

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