有效地同时从椭圆曲线上获得私有和公开可验证的鲁棒可证明数据

Christian H. Hanser, Daniel Slamanig
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引用次数: 27

摘要

当将大型数据集外包到云端时,客户希望能够有效地检查所有外包数据在以后的任何时间点是否仍然可以检索,而无需下载所有数据。可证明数据占有(PDP)/可检索性证明(PoR)是解决这一问题的概念,存在不同的结构。有趣的是,到目前为止,还没有一种PDP/PoR方案能够同时支持私有和公共可验证性。特别是,这意味着到目前为止,所有PDP/PoR方案都只允许公共或私有的可验证性,因为需要不同的设置过程和元数据集。然而,同时支持这两种变体似乎很有趣,因为公开可验证的方案远不如私人可验证的方案有效。在本文中,我们提出了第一个同时私有和公开可验证(鲁棒)的PDP协议,该协议允许数据所有者使用更有效的私有验证,而其他人可以运行公共验证算法。我们基于椭圆曲线的构造实现了这一点,因为它使用相同的设置过程和相同的元数据集用于私有和公共可验证性。在椭圆曲线离散对数问题难以处理的假设下,我们给出了严格的安全性分析,并证明了我们的构造在随机oracle模型下是安全的。我们在存储和通信开销以及客户端和服务器的计算工作量方面,与现有最有效的私有或公共可验证性方法进行了详细的比较。我们的分析表明,对于与实际应用相关的参数选择,我们的结构明显优于所有现有的私人和公开可验证方案。这意味着,即使我们的构造仅用于私有或公共可验证性,它仍然优于已知的最有效的构造,这在公共可验证性设置中特别有吸引力。
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Efficient simultaneous privately and publicly verifiable robust provable data possession from elliptic curves
When outsourcing large sets of data to the cloud, it is desirable for clients to efficiently check, whether all outsourced data is still retrievable at any later point in time without requiring to download all of it. Provable data possession (PDP)/proofs of retrievability (PoR), for which various constructions exist, are concepts to solve this issue. Interestingly, by now, no PDP/PoR scheme leading to an efficient construction supporting both private and public verifiability simultaneously is known. In particular, this means that up to now all PDP/PoR schemes either allow public or private verifiability exclusively, since different setup procedures and metadata sets are required. However, supporting both variants simultaneously seems interesting, as publicly verifiable schemes are far less efficient than privately verifiable ones. In this paper, we propose the first simultaneous privately and publicly verifiable (robust) PDP protocol, which allows the data owner to use the more efficient private verification and anyone else to run the public verification algorithm. Our construction, which is based on elliptic curves, achieves this, as it uses the same setup procedure and the same metadata set for private and public verifiability. We provide a rigorous security analysis and prove our construction secure in the random oracle model under the assumption that the elliptic curve discrete logarithm problem is intractable. We give detailed comparisons with the most efficient existing approaches for either private or public verifiability with our proposed scheme in terms of storage and communication overhead, as well as computational effort for the client and the server. Our analysis shows that for choices of parameters, which are relevant for practical applications, our construction outperforms all existing privately and publicly verifiable schemes significantly. This means, that even when our construction is used for either private or public verifiability alone, it still outperforms the most efficient constructions known, which is particularly appealing in the public verifiability setting.
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