Prof. Amos Beimel

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Reducing the servers' computation in private information retrieval

PIR with preprocessing

Amos Beimel, Yuval Ishai, Tal Malkin

The computational complexity of private information retrieval (PIR) was studied. It was shown that in the standard PIR model, where the servers hold only the database, linear computation cannot be avoided. Substantial savings in the amount of computation without severely affecting the communication complexity are obtained by using preprocessing in PIR protocols. Two alternative models to saving computation, by batching queries and by allowing a separate off-line interaction per future query were suggested.

Publication language English
Pages 125-151
Journal Journal of Cryptology
Volume 17
Issue number 2
Publication status Published - 01.03.2004

Keywords

Distributed databases
Information-theoretic protocols
Privacy
Sub-linear communication
Sub-linear computation

ASJC Scopus subject areas

Software
Computer Science Applications
Applied Mathematics
Access to Document
10.1007/s00145-004-0134-y
Other files and links
Link to publication in Scopus