Explicit and Nearly Tight Lower Bound for 2-Party Perfectly Secure FSS

Keitaro Hiwatashi, Koji Nuida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Function Secret Sharing (FSS) is a cryptographic tool introduced by Boyle et al. (EUROCRYPT 2015) and is useful for several applications such as private information retrieval, oblivious-RAM, multi-party computation, etc. Most of the known FSS schemes are based on a pseudorandom generator and hence with computational security. In contrast, there are only a few known constructions of information-theoretic FSS, which are just for restricted function classes. It has not been well studied how efficient information-theoretic FSS can be in general. In this paper, we focus on (2-party) perfectly secure information-theoretic FSS and prove that the key size is explicitly (i.e., not just asymptotically) bounded below by the size of the subgroup generated by the function class. To the best of our knowledge, this is the first lower bound for information-theoretic FSS for an arbitrary function class. Our result shows that for several practically meaningful function classes, perfectly secure information-theoretic FSS must be much inefficient, not only asymptotically but also in practical parameters. Furthermore, we prove that this explicit lower bound is nearly tight by constructing perfectly secure information-theoretic FSS schemes for arbitrary function classes almost achieving our lower bound.

Original languageEnglish
Title of host publicationApplied Cryptography and Network Security - 21st International Conference, ACNS 2023, Proceedings
EditorsMehdi Tibouchi, XiaoFeng Wang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages541-554
Number of pages14
ISBN (Print)9783031334900
DOIs
Publication statusPublished - 2023
Event21st International Conference on Applied Cryptography and Network Security, ACNS 2023 - Kyoto, Japan
Duration: Jun 19 2023Jun 22 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13906 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Applied Cryptography and Network Security, ACNS 2023
Country/TerritoryJapan
CityKyoto
Period6/19/236/22/23

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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