Paper 2020/1592
Puncturable Pseudorandom Sets and Private Information Retrieval with Near-Optimal Online Bandwidth and Time
Elaine Shi, Waqar Aqeel, Balakrishnan Chandrasekaran, and Bruce Maggs
Abstract
Imagine one or more non-colluding servers each holding a large
public database, e.g., the repository of DNS entries. Clients would
like to access entries in this database without disclosing their
queries to the servers. Classical private information retrieval (PIR)
schemes achieve polylogarithmic bandwidth per query, but require the
server to perform linear computation per query, which is a
significant barrier towards deployment.
Several recent works showed, however, that by introducing a
one-time, per-client, off-line preprocessing phase, an
\emph{unbounded} number of client queries can be subsequently served
with sublinear online computation time per query (and the cost of the
preprocessing can be amortized over the unboundedly many queries).
Existing preprocessing PIR schemes (supporting unbounded queries), unfortunately, make undesirable tradeoffs to achieve sublinear online computation:
they are either significantly non-optimal in online time or bandwidth,
%they either require
%
Note: This is the online full version that includes full details and proofs.
Metadata
- Available format(s)
-
PDF
- Category
- Cryptographic protocols
- Publication info
- A major revision of an IACR publication in CRYPTO 2021
- Keywords
- private information retrievalpuncturable pseudorandom set
- Contact author(s)
- runting @ gmail com
- History
- 2021-06-22: last of 3 revisions
- 2020-12-24: received
- See all versions
- Short URL
- https://ia.cr/2020/1592
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2020/1592, author = {Elaine Shi and Waqar Aqeel and Balakrishnan Chandrasekaran and Bruce Maggs}, title = {Puncturable Pseudorandom Sets and Private Information Retrieval with Near-Optimal Online Bandwidth and Time}, howpublished = {Cryptology {ePrint} Archive, Paper 2020/1592}, year = {2020}, url = {https://eprint.iacr.org/2020/1592} }