Efficient Card-Based Millionaires’ Protocols via Non-binary Input Encoding

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

2 Citations (Scopus)

Abstract

Comparison of integers, a traditional topic in secure multiparty computation since Yao’s pioneering work on “Millionaires’ Problem” (FOCS 1982), is also well studied in card-based cryptography. For the problem, Miyahara et al. (Theoretical Computer Science, 2020) proposed a protocol using binary cards (i.e., cards with two kinds of symbols) that is highly efficient in terms of numbers of cards and shuffles, and its extension to number cards (i.e., cards with distinct symbols). In this paper, with a different design strategy which we name “Tug-of-War Technique”, we propose new protocols based on binary cards and on number cards. For binary cards, our protocol improves the previous protocol asymptotically (in bit lengths of input integers) in terms of numbers of cards and shuffles when adopting ternary encoding of input integers. For number cards, at the cost of increasing the number of cards, our protocol improves the number of shuffles of the previous protocol even with binary encoding, and more with q-ary encoding where q> 2.

Original languageEnglish
Title of host publicationAdvances in Information and Computer Security - 18th International Workshop on Security, IWSEC 2023, Proceedings
EditorsJunji Shikata, Hiroki Kuzuno
PublisherSpringer Science and Business Media Deutschland GmbH
Pages237-254
Number of pages18
ISBN (Print)9783031413254
DOIs
Publication statusPublished - 2023
Event18th International Workshop on Security, IWSEC 2023 - Yokohama, Japan
Duration: Aug 29 2023Aug 31 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14128 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Workshop on Security, IWSEC 2023
Country/TerritoryJapan
CityYokohama
Period8/29/238/31/23

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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