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Privacy-Preserving Public Auditing in Cloud Computing with Data Deduplication

机译:具有重复数据删除功能的云计算中保护隐私的公共审计

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Storage represents one of the most commonly used cloud services. Data integrity and storage efficiency are two key requirements when storing users' data. Public auditability, where users can employ a Third Party Audithor (TPA) to ensure data integrity, and efficient data deduplication which can be used to eliminate duplicate data and their corresponding authentication tags before sending the data to the cloud, offer possible solutions to address these requirements. In this paper, we propose a privacy-preserving public auditing scheme with data deduplication. We also present an extension of our proposed scheme that enables the TPA to perform multiple auditing tasks at the same time. Security and computational analyses for both cases are also presented.
机译:存储代表了最常用的云服务之一。数据完整性和存储效率是存储用户数据时的两个关键要求。公共审核性(用户可以使用第三方审核员(TPA)来确保数据完整性)以及有效的重复数据删除技术(可用于在将数据发送到云之前消除重复的数据及其相应的身份验证标签)提供了解决这些问题的可能解决方案要求。在本文中,我们提出了一种具有重复数据删除功能的保护隐私的公共审计方案。我们还提出了我们提议的方案的扩展,该方案使TPA能够同时执行多个审核任务。还介绍了这两种情况的安全性和计算分析。

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