Content area

Abstract

The authors consider the private information retrieval (PIR) problem, in particular, the problem of ensuring secure queries to a database. Previously, the authors considered this problem for a cloud database in the presence of an active adversary who does not interfere with the execution of the PIR protocol but can carry out an attack with known open queries. In the proposed algorithms, bit number i is represented as an l-ary number with d digits. An algorithm for database placement on the cloud and an algorithm for bit querying with the use of permutations in the digits of a bit number, where bit number i is defined in a base-l number system, are proposed. The permutations are regarded as secret encryption keys. The communication complexity and the probability of guessing the bit number in a single attack with a known open query for bit number i, as well as in an attack with an unlimited number of known open queries, are estimated.

Details

Title
Cloud Data Storage and Private Information Retrieval Аlgorithms
Author
Varnovskiy, N. P. 1   VIAFID ORCID Logo  ; Martishin, S. A. 2   VIAFID ORCID Logo  ; Khrapchenko, M. V. 2   VIAFID ORCID Logo  ; Shokurov, A. V. 2   VIAFID ORCID Logo 

 Information Security Section of Information Security Institute, Lomonosov Moscow State University, Moscow, Russia (GRID:grid.14476.30) (ISNI:0000 0001 2342 9668) 
 Ivannikov Institute for System Programming, Russian Academy of Sciences, Moscow, Russia (GRID:grid.4886.2) (ISNI:0000 0001 2192 9124) 
Publication title
Volume
50
Issue
6
Pages
425-434
Publication year
2024
Publication date
Dec 2024
Publisher
Springer Nature B.V.
Place of publication
New York
Country of publication
Netherlands
ISSN
03617688
e-ISSN
16083261
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2024-11-19
Milestone dates
2024-11-11 (Registration); 2024-07-10 (Received); 2024-07-17 (Accepted); 2024-07-17 (Rev-Recd)
Publication history
 
 
   First posting date
19 Nov 2024
ProQuest document ID
3130548027
Document URL
https://www.proquest.com/scholarly-journals/cloud-data-storage-private-information-retrieval/docview/3130548027/se-2?accountid=208611
Copyright
© Pleiades Publishing, Ltd. 2024. ISSN 0361-7688, Programming and Computer Software, 2024, Vol. 50, No. 6, pp. 425–434. © Pleiades Publishing, Ltd., 2024. Russian Text © The Author(s), 2024, published in Programmirovanie, 2024, Vol. 50, No. 6.
Last updated
2024-11-20
Database
ProQuest One Academic