PGV:存储强制远程验证方案

M. Husain, S. Uurtamo, Steven Y. Ko, A. Rudra, R. Sridhar
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引用次数: 0

摘要

提出了一种存储强制远程验证方案PGV (Pretty Good verification)。虽然现有的方案通常是为了处理恶意的对抗模型而开发的,但我们认为,这样的模型通常是一个过于强大的假设,导致过度设计,资源密集的机制。相反,PGV的存储强制属性旨在消除存储服务器欺骗的实际动机,以便在隐蔽的对抗模型中节省存储空间。在其核心,PGV依赖于众所周知的多项式哈希,我们证明了多项式哈希可证明具有存储强制属性,并且在性能方面也是有效的。除了客户机在远程服务器上验证存储内容的传统应用程序之外,PGV还可以应用于重复数据删除场景,在这种场景中,服务器希望在授予对现有文件的访问权限之前验证客户机是否拥有关于文件的大量信息(而不仅仅是文件的部分知识/指纹)。我们通过结合Kolmogorov复杂度和列表解码从理论上证明了PGV的强大功能,并通过与现有方案的比较实验证明了PGV的简单性和低开销。总之,PGV提供了一种很好的、实用的方法来执行存储强制远程验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PGV: A Storage Enforcing Remote Verification Scheme
This paper presents a storage enforcing remote verification scheme, PGV (Pretty Good Verification). While existing schemes are often developed to handle a malicious adversarial model, we argue that such a model is often too strong of an assumption, resulting in over-engineered, resource-intensive mechanisms. Instead, the storage enforcement property of PGV aims at removing a practical incentive for a storage server to cheat in order to save on storage space in a covert adversarial model. At its core, PGV relies on the well-known polynomial hash, we show that the polynomial hash provably possesses the storage enforcement property and is also efficient in terms of performance. In addition to the traditional application of a client verifying the storage content at a remote server, PGV can also be applied to de-duplication scenarios where the server wants to verify whether the client possesses a significant amount of information about a file (and not just a partial knowledge/fingerprint of the file) before granting access to an existing file. We theoretically prove the power of PGV by combining Kolmogorov complexity and list decoding, and experimentally show the simplicity and low overhead of PGV by comparing it with existing schemes. Altogether, PGV provides a good, practical way to perform storage enforcing remote verification.
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