一种新的基于统一超混沌的PRNG实现与评价

A. Senouci, Ilyas Benkhaddra, A. Boukabou, A. Bouridane, A. Ouslimani
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引用次数: 4

摘要

由于上市时间的限制,使用快速原型工具(如MATLAB Simulink和Xilinx System Generator)变得越来越重要。本文采用Xilinx System Generator对基于统一超混沌系统的伪随机数发生器(PRNG)进行软件仿真,并在FPGA电路上实时实现。为此,我们提出了一种新的PRNG,该PRNG基于一种新的概念,即对输入使用参数摄动控制,对输出使用特殊函数来驱动统一超混沌系统到PRNG。该设计是针对Virtex-5 FPGA器件(XC5VFX70T- 1FFG1136)实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation and evaluation of a new unified hyperchaos-based PRNG
The use of rapid prototyping tools such as MATLAB Simulink and Xilinx System Generator becomes increasingly important because of time-to-market constraints. In this paper, we consider Xilinx System Generator for software simulation and real time implementation on FPGA circuit of a pseudo-random number generator (PRNG) based on unified hyperchaotic system. For this purpose, we propose a new PRNG with good randomness characteristics based on a novel conception where a parameter perturbation control to the input and a special function to the output are used in order to drive the unified hyperchaotic system to the PRNG. The design was implemented targeting a Virtex-5 FPGA device (XC5VFX70T- 1FFG1136).
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