用预计算加速Fermat分解法

Q2 Computer Science
Hatem M. Bahig
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引用次数: 0

摘要

许多公钥密码系统和协议的安全性依赖于将大正整数n分解为素数因子的难度。费马分解法是二次型筛法、数域筛法等现代重要的分解方法的核心。如果质因数之差等于∆=p-q≤n^(0.25),则在多项式时间内分解复合整数n=pq,其中p>q。费马分解法的执行时间随着∆的增大而迅速增加。对费马分解法的改进之一是基于对(n mod 20)的可能值的研究。本文介绍了一种基于(n mod 20)可能值的大整数的高效因式分解算法和一种预计算策略。在不同大小的n和∆上的实验结果表明,我们提出的算法比之前改进的费马分解方法至少快48%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Speeding Up Fermat’s Factoring Method using Precomputation
The security of many public-key cryptosystems and protocols relies on the difficulty of factoring a large positive integer n into prime factors. The Fermat factoring method is a core of some modern and important factorization methods, such as the quadratic sieve and number field sieve methods. It factors a composite integer n=pq in polynomial time if the difference between the prime factors is equal to ∆=p-q≤n^(0.25) , where p>q. The execution time of the Fermat factoring method increases rapidly as ∆ increases. One of the improvements to the Fermat factoring method is based on studying the possible values of (n mod 20). In this paper, we introduce an efficient algorithm to factorize a large integer based on the possible values of (n mod 20) and a precomputation strategy. The experimental results, on different sizes of n and ∆, demonstrate that our proposed algorithm is faster than the previous improvements of the Fermat factoring method by at least 48%.
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来源期刊
Annals of Emerging Technologies in Computing
Annals of Emerging Technologies in Computing Computer Science-Computer Science (all)
CiteScore
3.50
自引率
0.00%
发文量
26
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