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A universal method for realizing non-repudiable provable data possession in cloud storage

机译:一种实现云存储中不可否认的可证明数据拥有的通用方法

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Provable data possession (PDP) and proofs of retrievability (POR) are techniques for a client to verify the integrity of outsourced data on an untrusted server, and numerous PDP/POR schemes with public or private verification have been proposed so far. However, existing schemes cannot handle the following issue satisfactorily: Driven by profits, a malicious client may accuse an honest server and repudiate the correct proof of data possession. Based on the commitment function, we present a universal method that can reform any private verification PDP/POR scheme into a non-repudiable PDP (NRPDP)/POR scheme. As a case study, we propose a concrete NRPDP scheme with private verification, which allows both the client and the server to prove their innocence and verify whether the other side is honest. Moreover, we prove the security of both the method and NRPDP in the random oracle model and implement a prototype based on the NRPDP scheme in a realistic cloud platform. Experimental results on large dataset (10GB) show that the NRPDP can be executed efficiently as private verification schemes and outperforms the public schemes more than 60% in terms of verification time. Foremost, non-repudiation can be guaranteed efficaciously in NRPDP. Copyright (c) 2016 John Wiley & Sons, Ltd.
机译:可证明的数据拥有(PDP)和可检索性证明(POR)是客户端在不信任的服务器上验证外包数据完整性的技术,到目前为止,已经提出了许多带有公共或私有验证的PDP / POR方案。但是,现有的方案不能令人满意地处理以下问题:受利润驱动,恶意客户端可能会指责诚实的服务器并否认正确的数据拥有证明。基于承诺函数,我们提出了一种通用方法,可以将任何专用验证PDP / POR方案重构为不可否认的PDP(NRPDP)/ POR方案。作为案例研究,我们提出了一个带有私人验证的具体NRPDP方案,该方案允许客户端和服务器双方证明自己的无辜并验证对方是否诚实。此外,我们在随机预言模型中证明了该方法和NRPDP的安全性,并在现实的云平台上实现了基于NRPDP方案的原型。在大型数据集(10GB)上的实验结果表明,NRPDP可以作为私人验证方案有效执行,并且在验证时间方面优于公共方案超过60%。首先,在NRPDP中可以有效地保证不可否认性。版权所有(c)2016 John Wiley&Sons,Ltd.

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