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RARE: Defeating side channels based on data-deduplication in cloud storage

机译:罕见:基于云存储中的数据重复数据删除击败侧频

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Client-side data deduplication enables cloud storage services (e.g., Dropbox) to achieve both storage and bandwidth savings, resulting in reduced operating cost and high level of user satisfaction. However, the deduplication checks (i.e., the corresponding essential message exchange) create a side channel, exposing the privacy of file existence status to the attacker. In particular, the binary response from the deduplication check reveals the information about the existence of a copy of the file in the cloud storage. This behavior can be exploited to launch further attacks such as learning the sensitive file content and establishing a covert channel. While current solutions provide only weaker privacy or rely on unreasonable assumptions, we propose RAndom REsponse (RARE) approach to achieve stronger privacy. The idea behind our proposed RARE solution is that the uploading user sends the deduplication request for two chunks at once. The cloud receiving the deduplication request returns the randomized deduplication response with the careful design so as to preserve the deduplication gain and at the same time minimize the privacy leakage. Our analytical results confirm privacy guarantee and results show that both deduplication benefit and privacy of RARE can be preserved.
机译:客户端数据重复数据删除使云存储服务(例如,Dropbox)能够实现存储和带宽节省,从而降低运营成本和高水平的用户满意度。但是,重复数据删除检查(即,相应的必需消息交换)创建侧频道,将文件存在状态的隐私暴露给攻击者。特别地,重复数据删除检查的二进制响应显示了关于云存储中文件副本存在的信息。可以利用此行为来启动进一步的攻击,例如学习敏感文件内容并建立封面通道。虽然目前的解决方案仅提供较弱的隐私或依赖于不合理的假设,但我们提出了随机响应(罕见)方法来实现更强的隐私。我们提出的稀有解决方案背后的想法是上传用户一次向两块块发送重复数据删除请求。接收重复数据删除请求的云返回随机设计的随机重复数据删除响应,以便保留重复数据删除增益,同时最小化隐私泄漏。我们的分析结果证实了隐私保障和结果表明,可以保留重复数据删除效益和稀有的隐私。

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