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On the Depth of Oblivious Parallel RAM

机译:在绝密平行的ram深度

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摘要

Oblivious Parallel RAM (OPRAM), first proposed by Boyle, Chung, and Pass, is the natural parallel extension of Oblivious RAM (ORAM). OPRAM provides a powerful cryptographic building block for hiding the access patterns of programs to sensitive data, while preserving the paralellism inherent in the original program. All prior OPRAM schemes adopt a single metric of "simulation overhead" that characterizes the blowup in parallel runtime, assuming that oblivious simulation is constrained to using the same number of CPUs as the original PRAM. In this paper, we ask whether oblivious simulation of PRAM programs can be further sped up if the OPRAM is allowed to have more CPUs than the original PRAM. We thus initiate a study to understand the true depth of OPRAM schemes (i.e., when the OPRAM may have access to unbounded number of CPUs). On the upper bound front, we construct a new OPRAM scheme that gains a logarithmic factor in depth and without incurring extra blowup in total work in comparison with the state-of-the-art OPRAM scheme. On the lower bound side, we demonstrate fundamental limits on the depth any OPRAM scheme - even when the OPRAM is allowed to have an unbounded number of CPUs and blow up total work arbitrarily. We further show that our upper bound result is optimal in depth for a reasonably large parameter regime that is of particular interest in practice.
机译:博伊尔,涌和通过的首次提出的令人沮丧的平行RAM(OPRAM)是绝尘RAM(ORAM)的自然平行延伸。 OPRAM提供了一个强大的加密构建块,用于隐藏程序的访问模式,以敏感数据,同时保留原始程序中固有的帕拉贝尔。所有先前的OPRAM方案都采用单个度量标准的“仿真开销”,它在并行运行时中的吹气,假设令人沮丧的模拟被限制为使用相同数量的CPU作为原始PRAM。在本文中,如果允许OPRAM比原始婴儿车有更多的CPU,我们会询问是否可以进一步加速PRAM程序的绝密模拟。因此,我们开始研究了解OPRAM方案的真实深度(即,当OPRAM可以访问无限数量的CPU时)。在上限前面,我们构建了一种新的OPRAM方案,可以深入地获得对数因子,而不是在与最先进的OPRAM方案相比的总工作中产生额外的爆炸。在下边界,我们向深度展示了任何OPRAM方案的基本限制 - 即使允许OPRAM有一个无限数量的CPU并任意爆炸总工作。我们进一步表明,我们的上界结果对于在实践中特别感兴趣的合理大参数制度的深度深度是最佳的。

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