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Multi-server private information retrieval over unsynchronized databases

机译:通过非同步数据库检索多服务器私有信息

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Search histories contain detailed and sensitive information about people. Private information retrieval (PIR) aims to hide search histories from service providers by allowing a user to retrieve the wth record of a database without revealing w to the server. However, most known PIR schemes are either very inefficient (and therefore unlikely to gain traction in a practical sense) or reliant on some restrictive assumptions. In this paper, we consider an efficient class of schemes called multi-server PIR. Multi-server PIR assumes that the client communicates with multiple, non-colluding servers, each possessing an identical copy of the database. The current literature does not address the assumption that servers store perfectly-synchronized databases. This seems implausible, especially if servers are not meant to collude. We propose the first multiserver PIR scheme to return the desired record even when servers' databases are not perfectly synchronized. Our scheme asymptotically has the same computational and communication complexity as state-of-the-art PIR schemes for synchronized databases; this comes at the expense of probabilistic success guarantees and two rounds of communication. As a secondary result, our approach can efficiently process multiple concurrent queries in one round of PIR.
机译:搜索历史记录包含有关人员的详细和敏感信息。私有信息检索(PIR)旨在通过允许用户检索数据库的wth记录而不向服务器透露w来向服务提供商隐藏搜索历史记录。但是,大多数已知的PIR方案要么效率很低(因此在实际意义上不太可能获得吸引力),要么依赖于某些限制性假设。在本文中,我们考虑了一种称为多服务器PIR的高效方案。多服务器PIR假定客户端与多个非冲突服务器通信,每个服务器都拥有数据库的相同副本。当前的文献没有解决服务器存储完全同步的数据库的假设。这似乎是难以置信的,尤其是在服务器不打算串通的情况下。我们提出了第一个多服务器PIR方案,即使服务器的数据库没有完全同步,也可以返回所需的记录。我们的方案渐近具有与同步数据库的最新PIR方案相同的计算和通信复杂度;这是以牺牲概率成功保证和两轮沟通为代价的。作为辅助结果,我们的方法可以在一轮PIR中有效地处理多个并发查询。

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