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Assure deletion supporting dynamic insertion for outsourced data in cloud computing

机译:保证删除支持用于云计算中的外包数据的动态插入

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With the rapid development of cloud computing, an increasing number of data owners are willing to employ cloud storage service. In cloud storage, the resource-constraint data owners can outsource their large-scale data to the remote cloud server, by which they can greatly reduce local storage overhead and computation cost. Despite plenty of attractive advantages, cloud storage inevitably suffers from some new security challenges due to the separation of outsourced data ownership and its management, such as secure data insertion and deletion. The cloud server may maliciously reserve some data copies and return a wrong deletion result to cheat the data owner. Moreover, it is very difficult for the data owner to securely insert some new data blocks into the outsourced data set. To solve the above two problems, we adopt the primitive of Merkle sum hash tree to design a novel publicly verifiable cloud data deletion scheme, which can also simultaneously achieve provable data storage and dynamic data insertion. Moreover, an interesting property of our proposed scheme is that it can satisfy private and public verifiability without requiring any trusted third party. Furthermore, we formally prove that our proposed scheme not only can achieve the desired security properties, but also can realize the high efficiency and practicality.
机译:随着云计算的快速发展,越来越多的数据所有者愿意使用云存储服务。在云存储中,资源约束数据所有者可以将其大规模数据外包给远程云服务器,它们可以大大减少本地存储开销和计算成本。尽管有很多有吸引力的优势,云存储因外包数据所有权及其管理而不可避免地遭受一些新的安全挑战,例如安全数据插入和删除。云服务器可能会恶意地保留一些数据副本并返回错误的删除结果以欺骗数据所有者。此外,数据所有者非常困难地将一些新数据块安全地插入外包数据集。为了解决上述两个问题,我们采用Merkle Sum哈希树的原始,设计了一种新型公开可验证的云数据删除方案,也可以同时实现可提供的数据存储和动态数据插入。此外,我们拟议方案的有趣财产是它可以满足私人和公共可验证,而无需任何值得信赖的第三方。此外,我们正式证明我们所提出的方案不仅可以达到所需的安全性质,而且可以实现高效率和实用性。

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