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Non-linear pseudo-random number generators via coupling DX generators with the Logistic map

机译:通过将DX生成器与Logistic映射结合使用的非线性伪随机数生成器

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摘要

This brief proposes a class of nonlinear pseudorandom number generators (PRNGs) based on coupling linear generators (DX generators) with a nonlinear generator (digitized Logistic map). By breaking the linearity, the unpredictability of the proposed generators in the family of coupling PRNGs is enhanced while the nice properties of efficiency, long period, and excellent statistical properties are preserved. Furthermore, the hardware efficiencies are validated by hardware implementations using a TSMC 0.18μm CMOS process with a throughput rate greater than 8,000 Mbit/s. In addition to the extremely long period length, the proposed nonlinear PRNGs can generate random sequences that fulfill all the randomness requirements of NIST SP 800-22 test suite.
机译:本摘要提出了一种基于将线性生成器(DX生成器)与非线性生成器(数字化Logistic映射)耦合的非线性伪随机数生成器(PRNG)。通过打破线性关系,在耦合PRNG系列中,所提出的发生器的不可预测性得到了增强,同时保留了效率,长期和出色的统计特性的良好特性。此外,通过使用TSMC0.18μmCMOS工艺且吞吐速率大于8,000 Mbit / s的硬件实现,可以验证硬件效率。除了极长的周期长度外,提出的非线性PRNG还能生成满足NIST SP 800-22测试套件所有随机性要求的随机序列。

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