How to Implement a Non-uniform or Non-closed Shuffle

Takahiro Saito, Daiki Miyahara, Yuta Abe, Takaaki Mizuki, Hiroki Shizuya

研究成果: Conference contribution

抄録

Card-based protocols allow to perform secure multiparty computations using a deck of physical cards, and rely on shuffle actions such as the (normal) shuffle, the random cut, and the random bisection cut. A shuffle action is mathematically defined by a pair of a permutation set (which is a subset of the symmetric group) and a probability distribution on it; while one can theoretically consider any shuffle action in mind, he or she may be unable to determine whether it can be easily implemented by human hands. As one of the most general results, Koch and Walzer showed that any uniform closed shuffle (meaning that its permutation set is a subgroup and its distribution is uniform) can be implemented by human hands with the help of additional cards. However, there are several existing protocols which use non-uniform and/or non-closed shuffles. To implement these specific shuffles, Nishimura et al. proposed an idea of using (special) physical cases that can store piles of cards as well as Koch and Walzer proposed an implementation of a specific non-closed shuffle with additional cards. Because their implementations handle a limited class of non-uniform and/or non-closed shuffles, it is still open to find a general method for implementing any shuffle. In this paper, we solve the above problem; we implement “any” shuffle with only additional cards, provided that every probability of its distribution is a rational number. Therefore, our implementation works for any non-closed or non-uniform shuffle (if the distribution is rational as above).

本文言語English
ホスト出版物のタイトルTheory and Practice of Natural Computing - 9th International Conference, TPNC 2020, Proceedings
編集者Carlos Martín-Vide, Miguel A. Vega-Rodríguez, Miin-Shen Yang
出版社Springer Science and Business Media Deutschland GmbH
ページ107-118
ページ数12
ISBN(印刷版)9783030629991
DOI
出版ステータスPublished - 2020
イベント9th International Conference on Theory and Practice of Natural Computing, TPNC 2020 - Taoyuan, Taiwan, Province of China
継続期間: 2020 12 72020 12 9

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12494 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference9th International Conference on Theory and Practice of Natural Computing, TPNC 2020
CountryTaiwan, Province of China
CityTaoyuan
Period20/12/720/12/9

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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