一种改进的伪随机数算法研究

Research on Improved Pseudo Random Number Algorithm

传统二维Logistic映射算法生成的伪随机数均匀性不高。为此,提出一种改进的伪随机数算法。对一维Logistic映射以及二维Logistic映射进行分析,基于迭代参数优化技术,引入取模运算解决序列超界问题。实验结果表明,该改进算法产生伪随机数的均匀性较高,安全性较好。

The traditional two-dimensional Logistic mapping which generates uniform pseudo random number is not high.This paper proposes a research on improved pseudo random number algorithm.It uses the iterative optimization techniques,based on the analysis of the one-dimensional Logistic mapping and two-dimensional Logistic mapping,and through the introduction of the modular operation to solve the sequence of super-sector issues.Experimental result shows that the uniformity of pseudo random periodic and security of the improved algorithm produces is better.