用于数字随机数生成的双涡旋混沌混沌采样

Onur Karatas, Kaya Demir, Salih Ergün
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引用次数: 0

摘要

介绍了一种基于混沌振荡器的随机数发生器。利用数字获取的双涡旋混沌作为RNG设计的基础。利用三阶常微分方程产生双涡旋混沌,在FPGA上实现了寄存器传输级的RNG。在实现中使用了32位定点数的5位带符号整数。采用一个具有混沌特征的信号作为源,另一个混沌信号对源信号进行采样生成随机比特。所提出的随机数生成器采用Verilog硬件描述语言构建,并在Xilinx Virtex VC707 FPGA上进行了实验验证。将采集到的二进制位进行FIPS 140-2随机测试套件测试,并成功通过测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chaotic Sampling of Double Scroll Chaos for Digital Random Number Generation
This article introduces a random number generator based on chaotic oscillators. Digitally obtained double scroll chaos was used as the basis for RNG design. The RNG is implemented on FPGA at the register transfer level using the third order ordinary differential equation to generate double scroll chaos. The 5-bit signed integer of a 32-bit fixed point number was used in the implementation. A signal that featured chaotic characteristics was used as a source and another chaotic signal was employed to sample the source signal to generate random bits. The random number generator that has been suggested is built using Verilog hardware description language and experimentally demonstrated on a Xilinx Virtex VC707 FPGA. The collected binary bits were subjected to the FIPS 140–2 randomness test suite and passed the tests successfully.
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