Low-power devices used in Internet-of-things networks have been short of security due to the high power consumption of random number generators. This paper presents a low-power hyperchaos-based true random number generator, which is highly recommended for secure communications. The proposed system, which is based on a four-dimensional chaotic system with hidden attractors and oscillators, exhibits rich dynamics. Numerical analysis is provided to verify the dynamic characteristics of the proposed system. A fully customized circuit is deployed using 130 nm CMOS technology to enable integration into low-power devices. Four output signals are used to seed a SHIFT-XOR-based chaotic data post-processing to generate random bit output. The chip prototype was simulated and tested at 100 MHz sampling frequency. The hyperchaotic circuit consumes a maximum of 980 \(\upmu \)W in generating chaotic signals while dissipates a static current of 623 \(\upmu \)A. Moreover, the proposed system provides ready-to-use binary random bit sequences which have passed the well-known statistical randomness test suite NIST SP800-22. The proposed novel system design and its circuit implementation provide a best energy efficiency of 4.37 pJ/b at a maximum sampling frequency of 100 MHz.

物联网网络中使用的低功率设备由于随机数生成器的高功耗而一直缺乏安全性。本文提出了一种基于低功率，基于超混沌的真随机数发生器，强烈建议将其用于安全通信。所提出的系统基于具有隐藏吸引子和振荡器的四维混沌系统，具有丰富的动力学特性。提供数值分析以验证所提出系统的动态特性。使用130 nm CMOS技术部署了完全定制的电路，以便集成到低功耗设备中。四个输出信号用于对基于SHIFT-XOR的混沌数据进行后处理，以生成随机位输出。芯片原型在100 MHz采样频率下进行了仿真和测试。 \（\ upmu \） W在产生混沌信号的同时消耗了623 \（\ upmu \） A的静态电流 。此外，该系统提供了已通过众所周知的统计随机性的即用型二进制随机位序列测试套件NIST SP800-22。所提出的新颖系统设计及其电路实现在100 MHz的最大采样频率下提供了4.37 pJ / b的最佳能效。