基于唤醒环振荡器的真随机数发生器,利用后处理优化生成随机比特序列

A. Permana, Aprilia Kusuma Dewi, Magfirawaty Magfirawaty
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引用次数: 2

摘要

为加密和解密过程生成一系列安全的随机密钥是密码学应用中的一个挑战。真随机数生成器(TRNG)是生成随机密钥序列的方法之一。它的随机性取决于熵源、收割机方法和后处理。在这项研究中,我们提出了一种TRNG设计,利用唤醒环振荡器作为熵源,冯·诺伊曼校正器作为后处理。唤醒环振荡器是对传统环振荡器的改进,而冯·诺伊曼的功能是防止产生的数字序列中的偏差。本设计是在Zedboard Zynq-7000上实现的。该设计的输出随机性检验表明,一个数字序列通过了五项基本检验的所有检验,alpha值为0.05。此外,使用NIST 800-22测试表明结果位序列的p值>0.01,其比例值比所有测试的最小通过率更重要。在ZedBoard Zynq-7000上实现TRNG提出的方案,其资源利用率百分比为寄存器0.06%,LUT切片0.14%,DSP = 1.5%。
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True Random Number Generator Based on Wake-Up Ring Oscillator Utilizing Post-Processing Optimization to Generate Random Bit Sequence
Generating a series of secure and random keys for encryption and decryption process is a challenge in cryptography applications. The True Random Number Generator (TRNG) is one of the methods for producing a random key sequence. Its randomness depends on the entropy source, harvester method, and post-processing. In this research, we propose a TRNG design that utilizes a wake-up ring oscillator as an entropy source and the von Neumann corrector as post-processing. The wake-up ring oscillator is a modification of the conventional ring oscillator, while Von Neumann functions to prevent bias in the resulting number sequence. This design is implemented on the Zedboard Zynq-7000. The output randomness test of the proposed design shows that a number sequence passes all tests of the Five Basic Test with an alpha of 0.05. Furthermore, using the NIST 800-22 test indicates the resulting bits sequence has a P-value>0.01 with a proportion value more significant than the minimum pass rate for all tests. The implementation of the TRNG proposed scheme on the ZedBoard Zynq-7000 presents the percentage of resource utilization is 0.06% register, 0.14% LUT slice, and DSP = 1.5%.
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