Private Information Retrieval Schemes for Coded Data with Arbitrary Collusion Patterns
January 26, 2017 Β· Declared Dead Β· π International Symposium on Information Theory
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Authors
Razane Tajeddine, Oliver W. Gnilke, David Karpuk, Ragnar Freij-Hollanti, Camilla Hollanti, Salim El Rouayheb
arXiv ID
1701.07636
Category
cs.IT: Information Theory
Citations
102
Venue
International Symposium on Information Theory
Last Checked
4 months ago
Abstract
In Private Information Retrieval (PIR), one wants to download a file from a database without revealing to the database which file is being downloaded. Much attention has been paid to the case of the database being encoded across several servers, subsets of which can collude to attempt to deduce the requested file. With the goal of studying the achievable PIR rates in realistic scenarios, we generalize results for coded data from the case of all subsets of servers of size $t$ colluding, to arbitrary subsets of the servers. We investigate the effectiveness of previous strategies in this new scenario, and present new results in the case where the servers are partitioned into disjoint colluding groups.
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