Private information retrieval with preprocessing based on the approximate GCD problem

4Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

PIR protocols allow clients to privately recover data on a server. While many protocols exist, none of them are practical due to their high computation requirement. We explain how preprocessing is a necessity to solve this issue, then we present two independent but related results. First, we show how Goldberg’s robust multi-server PIR protocol is compatible with preprocessing techniques. We detail the theoretical computation/memory tradeoff and present practical implementation results. Then, we introduce a new single-server PIR protocol that is reminiscent of Goldberg’s protocol in its structure but relies on the unrelated Approximate GCD assumption. We describe its performance and security, along with implementation results.

References Powered by Scopus

How to Share a Secret

11145Citations
N/AReaders
Get full text

Fully homomorphic encryption over the integers

1350Citations
N/AReaders
Get full text

Private information retrieval

1101Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Verifiable single-server private information retrieval from LWE with binary errors

18Citations
N/AReaders
Get full text

Verifiable single-server private information retrieval

6Citations
N/AReaders
Get full text

Efficient private information retrievals for single-server based on verifiable homomorphic encryption

0Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Vannet, T., & Kunihiro, N. (2016). Private information retrieval with preprocessing based on the approximate GCD problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9566, pp. 227–240). Springer Verlag. https://doi.org/10.1007/978-3-319-31301-6_14

Readers over time

‘17‘18‘19‘20‘21‘2301234

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 6

55%

Professor / Associate Prof. 2

18%

Researcher 2

18%

Lecturer / Post doc 1

9%

Readers' Discipline

Tooltip

Computer Science 12

92%

Physics and Astronomy 1

8%

Save time finding and organizing research with Mendeley

Sign up for free
0