A New Chaos-Based PRNG Hardware Architecture Using the HUB Fixed-Point Format

被引：11

作者：

da Silva, Samuel Souza ^{[1
]}

Cardoso, Matheus ^{[2
]}

Nardo, Lucas ^{[1
]}

Nepomuceno, Erivelton ^{[3
]}

Huebner, Michael ^{[4
]}

Arias-Garcia, Janier ^{[1
]}

机构：

[1] Univ Fed Minas Gerais UFMG, Grad Program Elect Engn, BR-31270901 Belo Horizonte, MG, Brazil

[2] Univ Fed Minas Gerais UFMG, Dept Elect Engn, BR-31270901 Belo Horizonte, MG, Brazil

[3] Maynooth Univ, Ctr Ocean Energy Res, Dept Elect Engn, Maynooth W23 F2H6, Kildare, Ireland

[4] Brandenburg Tech Univ BTU Cottbus Senftenberg, Dept Comp Engn, Cottbus, Germany

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2023年 / 72卷

关键词：

Hardware; Standards; Degradation; Computer architecture; Arithmetic; Chaos; Behavioral sciences; Bernoulli map; chaotic systems; computer arithmetic; Half-Unit-Biased (HUB) format; pseudorandom number generator (PRNG); tent map; MAP;

D O I：

10.1109/TIM.2023.3235457

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Chaotic systems have been applied in many applications involving instrumentation and measurements, such as in sensors and control systems, due to their pseudorandom proprieties. However, reproducing chaos in digital systems is challenging because of the dynamical degradation of chaotic digital systems and, consequently, their intrinsic periodic orbits. Many techniques have been used to guarantee a sufficiently large period, making them suitable for such applications. Nevertheless, few articles pay attention to the effects of using different numerical representations on chaos degradation and, at the same time, keeping key design parameters, such as few logical resources and power consumption. Thus, this article aims to provide a new hardware architecture for a chaos-based pseudorandom number generator (PRNG) using the Half-Unit-Biased (HUB) format for fixed-point numbers by bi-coupling the tent map in conjunction with the Bernoulli map, causing a significant impact on its logical resources and performance. Results show that the HUB format is more effective than the standard fixed-point numerical representation and that the proposed approach is chaotic, with pseudorandomness.

引用

页数：8