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Efficient Private Information Retrieval Over Unsynchronized Databases

机译:通过非同步数据库进行有效的私人信息检索

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摘要

Web search histories can reveal detailed and sensitive information about people. Private information retrieval (PIR) tackles this potential privacy violation by allowing users to retrieve the th record of a database without revealing 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. Significant prior work has gone towards relaxing the anti-collusion assumption, but the 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 multi-server 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 and two rounds of communication (most existing schemes require only one). Additionally, this approach efficiently processes multiple concurrent PIR queries.
机译:网络搜索历史可以揭示有关人员的详细和敏感信息。私人信息检索(PIR)通过允许用户检索数据库的第一个记录而不向服务器透露信息来解决这种潜在的侵犯隐私行为。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),要么依赖于一些限制性假设。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。先前的大量工作已在放松反共谋假设,但文献并未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,特别是如果服务器不打算合谋的话。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和两轮通信为代价的(大多数现有方案只需要一个)。此外,此方法可有效处理多个并发的PIR查询。

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