Cryptology ePrint Archive: Report 2017/1241

A Public-key Encryption Scheme Based on Non-linear Indeterminate Equations (Giophantus)

Koichiro Akiyama and Yasuhiro Goto and Shinya Okumura and Tsuyoshi Takagi and Koji Nuida and Goichiro Hanaoka and Hideo Shimizu and Yasuhiko Ikematsu

Abstract: In this paper, we propose a post-quantum public-key encryption scheme whose security depends on a problem arising from a multivariate non-linear indeterminate equation. The security of lattice cryptosystems, which are considered to be the most promising candidate for a post-quantum cryptosystem, is based on the shortest vector problem or the closest vector problem in the discrete linear solution spaces of simultaneous equations. However, several improved attacks for the underlying problems have recently been developed by using approximation methods, which result in requiring longer key sizes. As a scheme to avoid such attacks, we propose a public-key encryption scheme based on the "smallest" solution problem in the non-linear solution spaces of multivariate indeterminate equations that was developed from the algebraic surface cryptosystem. Since no efficient algorithm to find such a smallest solution is currently known, we introduce a new computational assumption under which proposed scheme is proven to be secure in the sense of IND-CPA. Then, we perform computational experiments based on known attack methods and evaluate that the key size of our scheme under the linear condition. This paper is a revised version of SAC2017.

Category / Keywords: Public-key Cryptosystem, Post-Quantum Cryptosystem, Indeterminate Equation, Smallest Solution Problem

Original Publication (with major differences): The preproceeding of SAC2017

Date: received 19 Dec 2017, last revised 30 Jul 2018

Contact author: koichiro akiyama at toshiba co jp

Available format(s): PDF | BibTeX Citation

Note: We reconsidered the resistant against the evaluating at one attack by using an indicator called "distinguishing advantage". And we re-evaluate the security strength for appropriate parameters.

Version: 20180730:082044 (All versions of this report)

Short URL: ia.cr/2017/1241


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