FPGA Based True Random Number Generators Using Non-Linear Feedback Ring Oscillators

S. Tao, Yang Yu, E. Dubrova
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引用次数: 9

Abstract

True random number generators (TRNGs) are important hardware primitives required for many applications including cryptography, communication, and statistical simulation. This paper presents a non-linear feedback ring oscillator (NL-FRO) based entropy source for implementing high performance TRNGs on FPGAs. The proposed NLFRO structures harvest randomness from noise and unpredictable variation in delay cells and bi-stable elements which are further amplified by non-linear feedback loops. The outputs of NLFROs show chaotic behavior, making them suitable for implementing high entropy, high speed and attack resistance TRNGs. Three NLFRO-TRNGs are implemented and tested on an Altera 60nm FPGA device. Raw entropy and statistical properties of the NLFRO-TRNGs are examined by the NIST 800-22 entropy estimation and NIST 800-90B statistical test suits. Compared to the prior art, experimental NLFRO-TRNGs show higher entropy and lower resource usage while consuming sub-milliwatt at 200 Mbps.
基于FPGA的非线性反馈环振荡器真随机数发生器
真随机数生成器(trng)是许多应用程序(包括密码学、通信和统计模拟)所需的重要硬件原语。本文提出了一种基于非线性反馈环振荡器(NL-FRO)的熵源,用于在fpga上实现高性能trng。所提出的NLFRO结构从延迟单元和双稳定单元的噪声和不可预测的变化中获取随机性,并通过非线性反馈回路进一步放大。NLFROs的输出表现为混沌行为,适合实现高熵、高速、抗攻击的trng。在Altera 60nm FPGA器件上实现并测试了三个nlro - trng。通过NIST 800-22熵估计和NIST 800-90B统计测试套件测试了nlro - trng的原始熵和统计特性。与现有技术相比,实验nlro - trng在200 Mbps的速度下消耗亚毫瓦时表现出更高的熵和更低的资源使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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