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A general private information retrieval scheme for MDS coded databases with colluding servers

机译:具有勾结服务器的MDS编码数据库的一般私有信息检索方案

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The problem of private information retrieval (PIR) gets renewed attentions in recent years due to its information-theoretic reformulation and applications in distributed storage systems. Let M files be stored in a distributed storage system consisting of N servers, where each file is stored via an ( N, K)-MDS code. A PIR scheme will allow a user to retrieve a specific file from the distributed storage system without revealing the identity of the file to any T colluding servers. PIR rate is defined as the number of symbols privately retrieved per one downloaded symbol and the supremum of all achievable rates is called the PIR capacity. The capacity has been solved for some degenerate cases, i.e. K = 1 or T = 1. For the general case K = 2 and T = 2, the exact PIR capacity remains unknown. In this paper we propose a general private information retrieval scheme for MDS coded databases with colluding servers achieving PIR rate (1 + R+ R-2 + ... + RM-1), where R = 1- ((N-T)(K))/((N)(K)). Our scheme captures the essence of the optimal schemes for degenerate cases. We also compare our scheme with some other known PIR schemes for non-degenerate cases. The advantages of our scheme include its independence of the property of the storage code and a better performance when the number of files M is small.
机译:私人信息检索(PIR)的问题近年来续签注意事项是由于其在分布式存储系统中的信息性质重构和应用程序。让M文件存储在由N服务器组成的分布式存储系统中,其中每个文件通过(n,k)-mds代码存储。 PIR方案将允许用户从分布式存储系统中检索特定文件,而不会将文件的身份显示给任何T勾结服务器。 PIR率被定义为每一个下载的符号私下检索的符号数,并且所有可实现的速率的超级产品称为PIR容量。对于一些简并病例,即k = 1或t = 1.对于一般情况K = 2和T = 2,确切的PIR容量仍然未知。在本文中,我们为MDS编码数据库提出了一般的私人信息检索方案,其中包含实现PIR率的勾结服务器(1 + R + R-2 + ... + RM-1),其中R = 1-((NT)(k) /((n)(k))。我们的计划捕获了退化案件的最佳方案的本质。我们还将我们的计划与其他一些已知的PIR方案进行了比较,用于非退化案例。我们的计划的优势包括其存储代码的属性以及当文件数M的数量小时更好的性能。

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