Bandersnatch：在 BLS12-381 标量场上构建的快速椭圆曲线

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-09-01 DOI:10.1007/s10623-024-01472-0

Simon Masson, Antonio Sanso, Zhenfei Zhang

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引用次数: 0

摘要

本文介绍了在 BLS12-381 标量域上建立的新椭圆曲线 Bandersnatch。该曲线配备了高效的内态性，允许使用快速的标量乘法算法。我们的基准测试表明，与具有类似特性的另一条名为 Jubjub 的曲线相比，乘法运算速度提高了 42%，秩 1 约束系统（R1CS）形式的电路规模减少了 21%，Plonk 电路减少了 10%。许多依赖于 Jubjub 曲线的零知识证明系统都能从我们的结果中受益。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Bandersnatch: a fast elliptic curve built over the BLS12-381 scalar field

In this paper, we introduce Bandersnatch, a new elliptic curve built over the BLS12-381 scalar field. The curve is equipped with an efficient endomorphism, allowing a fast scalar multiplication algorithm. Our benchmark shows that the multiplication is 42% faster, 21% reduction in terms of circuit size in the form of rank 1 constraint systems (R1CS), and 10% reduction in terms of Plonk circuit, compared to another curve, called Jubjub, having similar properties. Many zero-knowledge proof systems that rely on the Jubjub curve can benefit from our result.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.