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Special-q Techniques for Number Field Sieve to Solve Integer Factorization

机译:数字字段筛的特殊Q技术解决整数分解

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Number Field Sieve is one of the best exist method for integer factorization. In this method, relation collection stage is the most time-consuming part and requires a large amount of memory. This paper reports comprehensive analysis between Pollard's algorithm and FK algorithm of special-q lattice sieving in Number Field Sieve. The experiments are performed using two widely used factoring tools CADO-NFS and GGNFS on the data sets ranging between 100-120 digits; since CADO-NFS is based on FK algorithm and GGNFS is based on Pollard's algorithm. Experiments are carried out using various parameters. The results are derived and influencing factors are reported. Through the results, it is shown that even though FK algorithm for sieving which avoids the lattice reduction compared with Pollard, the selection of special-q, influences on the performance of the sieving algorithm.
机译:Number Field Sieve是整数分解的最佳存在方法之一。在该方法中,关系收集阶段是最耗时的部分,并且需要大量的存储器。本文报告了数场筛中特殊Q格子筛分的Pollard算法与FK算法的综合分析。通过在100-120位之间的数据集之间使用两个广泛使用的分解工具CADO-NFS和GGNF进行实验;由于CADO-NFS基于FK算法而GGNF基于Pollard的算法。使用各种参数进行实验。结果是衍生的,报告了影响因素。通过结果,表明即使筛选的FK算法避免了与可原形的晶格相比,特别是特殊Q的选择,对筛分算法的性能影响。

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