Committed Private Information Retrieval

Quang Cao*, Hong Yen Tran, Son Hoang Dau, Xun Yi, Emanuele Viterbo, Chen Feng, Yu Chih Huang, Jingge Zhu, Stanislav Kruglik, Han Mao Kiah

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A private information retrieval (PIR) scheme allows a client to retrieve a data item xi among n items x1, x2, …, xn from k servers, without revealing what i is even when t< k servers collude and try to learn i. Such a PIR scheme is said to be t-private. A PIR scheme is v-verifiable if the client can verify the correctness of the retrieved xi even when v≤ k servers collude and try to fool the client by sending manipulated data. Most of the previous works in the literature on PIR assumed that v< k, leaving the case of all-colluding servers open. We propose a generic construction that combines a linear map commitment (LMC) and an arbitrary linear PIR scheme to produce a k-verifiable PIR scheme, termed a committed PIR scheme. Such a scheme guarantees that even in the worst scenario, when all servers are under the control of an attacker, although the privacy is unavoidably lost, the client won’t be fooled into accepting an incorrect xi. We demonstrate the practicality of our proposal by implementing the committed PIR schemes based on the Lai-Malavolta LMC and three well-known PIR schemes using the GMP library and blst, the current fastest C library for elliptic curve pairings.

Original languageEnglish
Title of host publicationComputer Security – ESORICS 2023 - 28th European Symposium on Research in Computer Security, 2023, Proceedings
EditorsGene Tsudik, Mauro Conti, Kaitai Liang, Georgios Smaragdakis
PublisherSpringer Science and Business Media Deutschland GmbH
Pages393-413
Number of pages21
ISBN (Print)9783031505935
DOIs
StatePublished - 2024
Event28th European Symposium on Research in Computer Security, ESORICS 2023 - The Hague, Netherlands
Duration: 25 Sep 202329 Sep 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14344 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference28th European Symposium on Research in Computer Security, ESORICS 2023
Country/TerritoryNetherlands
CityThe Hague
Period25/09/2329/09/23

Keywords

  • Private information retrieval
  • commitment scheme
  • elliptic curve
  • malicious server
  • pairing
  • verifiability

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