M. Gafsi, Nessrine Abbassi, Rim Amdouni, Mohamed Ali Hajjaji, A. Mtibaa
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引用次数: 3
摘要
本文提出了一种高性能FPGA实现的强伪随机数生成器,主要用于安全领域的几种应用。提出了一种利用洛伦兹混沌映射的改进PRNG算法。然后,利用Xilinx公司的Xilinx System Generator软件开发了DPRNG的FPGA架构。接下来,硬件DPRNG在FPGA-Zynq上实现,导致低资源利用率,194.714 MHz的良好频率和25702 Mbps的高吞吐量。NIST 800-22 SP测试套件结果表明,建议的硬件DPRNG允许生成高质量的随机数。它提供了一个高空间的坚固钥匙。此外,还介绍了硬件DPRNG在图像加密中的应用。实验结果与近年来的研究成果相比较,取得了较好的效果。
Hardware implementation of a strong pseudo-random numbers generator with an application to image encryption
This paper suggests a high-performance FPGA implementation of a strong pseudo-random numbers generator for several applications mainly in the security domain. An improved PRNG utilizing the Lorenz chaotic map is propounded. Then, using the Xilinx System Generator software of Xilinx society an FPGA architecture of the DPRNG is developed. Next, the hardware DPRNG is implemented on an FPGA-Zynq resulting in low resource utilization, a good frequency of 194.714 MHz, and high throughput of 25702 Mbps. The NIST 800-22 SP test suite result demonstrates that the suggested hardware DPRNG allows for generating high-quality random numbers. It provides a strong key with a high space. In addition, an application of the hardware DPRNG for image encryption is presented. The experimental results show better results when compared to other recent works.