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Robust Password-Protected Secret Sharing

机译:强大的密码保护秘密共享

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摘要

Password-protected secret sharing (PPSS) schemes allow a user to publicly share its high-entropy secret across different servers and to later recover it by interacting with some of these servers using only his password without requiring any authenticated data. In particular, this secret will remain safe as long as not too many servers get corrupted. However, servers are not always reliable and the communication can be altered. To address this issue, a robust PPSS should additionally guarantee that a user can recover his secret as long as enough servers provide correct answers, and these are received without alteration. In this paper, we propose new robust PPSS schemes which are significantly more efficient than the existing ones. Our contributions are two-fold: First, we propose a generic technique to build a Robust Gap Threshold Secret Sharing Scheme (RGTSSS) from some threshold secret sharing schemes. In the PPSS construction, this allows us to drop the verifiable property of Oblivious Pseudorandom Functions (OPRF); Then, we use this new approach to design two new robust PPSS schemes that are quite efficient, from two OPRFs. They are proven in the random-oracle model, just because our RGTSSS construction requires random non-malleable fingerprints, which is provided by an ideal hash function.
机译:受密码保护的秘密共享(PPS)方案允许用户在不同的服务器上公开共享其高熵秘密,并通过仅使用他的密码与其中一些服务器进行交互而无需任何经过身份验证的数据来恢复它。特别是,这段秘密只要没有太多服务器就会保持安全。但是,服务器并不总是可靠的,并且可以改变通信。为了解决这个问题,只要足够的服务器提供正确的答案,就应该保证用户可以恢复他的秘密,并且在没有改变的情况下收到这些答案。在本文中,我们提出了新的强大的PPSS方案,这些方法比现有的更有效。我们的贡献是两倍:首先,我们提出了一种从某些阈值秘密共享方案构建强大的差距阈值秘密共享方案(RGTSS)的通用技术。在PPSS建设中,这使我们能够降低令人沮丧的伪随机函数的可验证财产(OPRF);然后,我们使用这种新方法来设计来自两个OPRF的两个新的强大PPSS方案。它们在随机甲骨文模型中被证明,仅仅因为我们的RGTSSSS构建需要随机的非型号指纹,这是由理想的哈希函数提供的。

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