More efficient SM9 algorithm based on bilinear pair optimization processing

Xianze Liu, Jihong Liu, B. Jiang, Haozhen Jiang, Zhi Yang
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Abstract

Currently, SM9 algorithm has received more and more attention as a new cryptographic product. The SM9 algorithm encryption and decryption principle relies on the mapping relationship on the elliptic curve. Although this mapping relationship improves the security, it will slightly reduce the efficiency. The goal of this article is to improve the efficiency of the SM9 algorithm. Different from the traditional assembly line acceleration method, we decided to start with the basic operation of the algorithm itself. There is a bilinear pairing operation on the elliptic curve, which completes the point to point on the elliptic curve. The calculation complexity directly determines the SM9 algorithm. For this reason, we propose two new bilinear pair processing methods. The former uses the properties of isomorphic mapping to transfer the operations involved in the calculation of bilinear pairs from a large feature domain to a small feature domain, reducing the number of operations on the feature domain. The latter is for special operations in the bilinear pairing process, adding intermediate variables to convert them into low-time-consuming multiplication operations. According to the traditional Miller algorithm, the calculation of bilinear pairs requires 900 multiplication time units. Our solution can reduce this value to 700 and 800 multiplication time units respectively. In addition, the two algorithms have not changed the mapping relationship of the bilinear pair. On the premise of ensuring the correct mapping relationship, the efficiency of the SM9 algorithm is improved.
基于双线性对优化处理的更高效SM9算法
目前,SM9算法作为一种新的密码学产品受到越来越多的关注。SM9算法的加解密原理依赖于椭圆曲线上的映射关系。虽然这种映射关系提高了安全性,但它会略微降低效率。本文的目标是提高SM9算法的效率。与传统的装配线加速方法不同,我们决定从算法本身的基本操作开始。在椭圆曲线上进行双线性配对运算,完成椭圆曲线上的点对点运算。计算复杂度直接决定了SM9算法的优劣。为此,我们提出了两种新的双线性对处理方法。前者利用同构映射的性质,将计算双线性对所涉及的操作从大特征域转移到小特征域,减少了在特征域上的操作次数。后者用于双线性配对过程中的特殊操作,添加中间变量,将其转换为耗时较低的乘法运算。根据传统的Miller算法,双线性对的计算需要900个乘法单位。我们的解决方案可以将这个值分别减少到700和800个乘法时间单位。此外,两种算法都没有改变双线性对的映射关系。在保证映射关系正确的前提下,提高了SM9算法的效率。
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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