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OPoR: Enabling Proof of Retrievability in Cloud Computing with Resource-Constrained Devices

机译:OPoR:使用资源受限的设备启用云计算中的可恢复性证明

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Cloud computing moves the application software and databases to the centralized large data centers, where the management of the data and services may not be fully trustworthy. In this work, we study the problem of ensuring the integrity of data storage in cloud computing. To reduce the computational cost at user side during the integrity verification of their data, the notion of public verifiability has been proposed. However, the challenge is that the computational burden is too huge for the users with resource-constrained devices to compute the public authentication tags of file blocks. To tackle the challenge, we propose OPoR, a new cloud storage scheme involving a cloud storage server and a cloud audit server, where the latter is assumed to be semi-honest. In particular, we consider the task of allowing the cloud audit server, on behalf of the cloud users, to pre-process the data before uploading to the cloud storage server and later verifying the data integrity. OPoR outsources and offloads the heavy computation of the tag generation to the cloud audit server and eliminates the involvement of user in the auditing and in the pre-processing phases. Furthermore, we strengthen the proof of retrievability (PoR) model to support dynamic data operations, as well as ensure security against reset attacks launched by the cloud storage server in the upload phase.
机译:云计算将应用程序软件和数据库移动到集中式大型数据中心,在该中心中,数据和服务的管理可能不完全值得信赖。在这项工作中,我们研究了确保云计算中数据存储完整性的问题。为了减少用户端数据完整性验证期间的计算成本,提出了公共可验证性的概念。然而,挑战在于,对于资源受限设备的用户而言,计算负担太大,无法计算文件块的公共身份验证标签。为了应对这一挑战,我们提出了OPoR,这是一种新的云存储方案,其中包括一个云存储服务器和一个云审计服务器,其中后者被认为是半诚实的。特别是,我们考虑了允许云审计服务器代表云用户对数据进行预处理,然后再将其上传到云存储服务器并随后验证数据完整性的任务。 OPoR将标签生成的繁重计算工作外包给云审计服务器,并将其卸载到云审计服务器,从而消除了用户参与审计和预处理阶段的过程。此外,我们加强了可恢复性证明(PoR)模型,以支持动态数据操作,并确保针对上载阶段云存储服务器发起的重置攻击的安全性。

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