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Private Information Retrieval in Graph-Based Replication Systems

机译:基于图形的复制系统中的私人信息检索

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摘要

In a Private Information Retrieval (PIR) protocol, a user can download a file from a database without revealing the identity of the file to each individual server. A PIR protocol is called t-private if the identity of the file remains concealed even if t of the servers collude. Graph based replication is a simple technique, which is prevalent in both theory and practice, for achieving robustness in storage systems. In this technique each file is replicated on two or more storage servers, giving rise to a (hyper-)graph structure. In this paper we study private information retrieval protocols in graph based replication systems. The main interest of this work is understanding the collusion structures which emerge in the underlying graph. Our main contribution is a 2-replication scheme which guarantees perfect privacy from acyclic sets in the graph, and guarantees partial-privacy in the presence of cycles. Furthermore, by providing an upper bound, it is shown that the PIR rate of this scheme is at most a factor of two from its optimal value for regular graphs. Lastly, we extend our results to larger replication factors and to graph-based coding, a generalization of graph based replication that induces smaller storage overhead and larger PIR rate in many cases.
机译:在私人信息检索(PIR)协议中,用户可以从数据库下载文件,而不将文件的身份显示给每个单独的服务器。如果即使在服务器的T勾结的情况下,如果文件的身份仍然隐藏,则称为T-Pricet。基于曲线图的复制是一种简单的技术,其在理论和实践中普遍存在,以实现存储系统的稳健性。在此技术中,每个文件都在两个或更多存储服务器上复制,从而产生(超级)图形结构。在本文中,我们在基于图形的复制系统中研究私有信息检索协议。这项工作的主要兴趣是了解界面图中出现的勾结结构。我们的主要贡献是一项二复制方案,保证了图表中的非循环集中的完美隐私,并保证了周期存在下的部分隐私。此外,通过提供上限,示出该方案的PIR率从其最佳值的常规图形的最佳值是两个。最后,我们将结果扩展到更大的复制因子和基于图形的编码,这是基于曲线图的复制,可以在许多情况下引起较小的存储开销和更大的PIR率。

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