Double Index Calculus Algorithm: Faster Solving Discrete Logarithm Problem in Finite Prime Field

Wen Huang, Zhishuo Zhang, Weixin Zhao, Jian Peng, Yongjian Liao, Yuyu Wang
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Abstract

Solving the discrete logarithm problem in a finite prime field is an extremely important computing problem in modern cryptography. The hardness of solving the discrete logarithm problem in a finite prime field is the security foundation of numerous cryptography schemes. In this paper, we propose the double index calculus algorithm to solve the discrete logarithm problem in a finite prime field. Our algorithm is faster than the index calculus algorithm, which is the state-of-the-art algorithm for solving the discrete logarithm problem in a finite prime field. Empirical experiment results indicate that our algorithm could be more than a 30-fold increase in computing speed than the index calculus algorithm when the bit length of the order of prime field is 70 bits. In addition, our algorithm is more general than the index calculus algorithm. Specifically, when the base of the target discrete logarithm problem is not the multiplication generator, the index calculus algorithm may fail to solve the discrete logarithm problem while our algorithm still can work.
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双索引微积分算法:更快解决有限素数域中的离散对数问题
解决有限素域中的离散对数问题是现代密码学中一个极其重要的计算问题。求解有限素域离散对数问题的难度是众多密码方案的安全基础。在本文中,我们提出了双索引微积分算法来解决无限素域中的离散对数问题。我们的算法比索引微积分算法更快,而索引微积分算法是解决有限素域离散对数问题的最先进算法。实证实验结果表明,当质数域阶的比特长度为 70 比特时,我们的算法比索引微积分算法的运算速度提高了 30 多倍。此外,我们的算法比索引计算算法更具通用性。具体来说,当目标离散对数问题的基数不是乘法发生器时,索引微积分算法可能无法解决离散对数问题,而我们的算法仍然可以工作。
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