In the private information retrieval (PIR) problem, a user wants to retrieve a file from a database without revealing any information about the desired file's identity to the servers that store the database. In this paper, we study the PIR capacity of a graph-based replication system, in which each file is stored on two distinct servers according to an underlying graph. This paper aims to provide upper and lower bounds to the PIR capacity of graphs via various graph properties. In particular, we provide several upper bounds on the PIR capacity that apply to all graphs. We further improve the bounds for specific graph families (which turn out to be tight in certain cases) by utilizing the underlying graph structure. For the lower bounds, we establish optimal rate PIR retrieval schemes for star graphs via edge-coloring techniques. Lastly, we provide an improved PIR scheme for complete graphs, which implies an improved general lower bound on all graphs' PIR capacity.
翻译:在私人信息检索(PIR)问题中,用户希望从数据库中检索文件,而不向存储数据库的服务器透露关于所需文件身份的任何信息。 在本文中,我们研究了基于图形的复制系统的PIR能力,其中每个文件都根据一个底图存储在两个不同的服务器上。 本文的目的是通过各种图形属性为图形的PIR能力提供上下界限。 特别是, 我们提供了适用于所有图形的PIR能力的若干上限。 我们通过使用底图结构进一步改进了特定图形家庭的界限( 在某些情况下, 直线很紧 ) 。 对于下限, 我们通过边色技术为恒星图建立最佳速的PIR检索计划。 最后, 我们为完整的图形提供了改进的PIR方案, 这意味着改进了所有图形的PIR能力的一般下限 。