An Integrated TRNG-PUF Architecture Based on Photovoltaic Solar Cells
An Integrated TRNG-PUF Architecture Based on Photovoltaic Solar Cells
复制标题
DOI：
10.1109/mce.2020.3019762
复制
发表时间：
2021-07-01
影响因子：
4.5
通讯作者：
Thapliyal, Himanshu
中科院分区：
文献类型：
--
作者：
Degada, Amit;Thapliyal, Himanshu
本文介绍了一种使用光伏 (PV) 太阳能电池的集成真随机数生成器 (TRNG) 和物理不可克隆函数 (PUF) 架构。我们说明了光伏太阳能电池传感器响应可以设计为动态（TRNG）和静态响应（PUF）。所提出的原型使用迭代冯诺依曼后处理方案来生成随机位，与单个冯诺依曼操作相比，吞吐量提高了 34%。随机位质量由国家科学技术研究所的统计测试套件进行检查，在所有光强度变化下均达到 0.45 的平均 p 值。 PUF响应实现了92.13%的可靠性和50.91%的均匀性。集成的TRNG-PUF架构有利于资源受限的信息物理系统。
This article presents an integrated true random number generator (TRNG) and physically unclonable function (PUF) architecture using photovoltaic (PV) solar cells. We illustrate that the PV solar cell sensor response can be engineered into dynamic (TRNG) and static responses (PUF). The proposed prototype uses the iterative Von Neumann postprocessing scheme to produce random bits with 34% better throughput compared to a single Von Neumann operation. The random bit quality was checked by statistical test suites from the National Institute of Science and Technology and achieves an average p-value of 0.45 at all variations in light intensity. The PUF response achieves 92.13% reliability and 50.91% uniformity. The integrated TRNG-PUF architecture is beneficial for resource-constrained cyber-physical system.