MRCO: A Multi-ring Convergence Oscillator-based High-Efficiency True Random Number Generator

Ni, Tianming; Peng, Qingsong; Bian, Jingchang; Yao, Liang; Huang, Zhengfeng; Yan, Aibin; Wen, Xiaoqing

doi:10.1109/asianhost56390.2022.10022291

Cited by 1 publication

(1 citation statement)

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“…However, genuinely random numbers cannot be generated through programming alone. It is necessary to acquire entropy sources, initially from peripherals as outlined by Gutmann (1998) and later through the propositions of external hardware generators as suggested by Ni et al (2022) [5,6]. Presently, computers utilize a combination of true random number generators (TRNGs) and deterministic random bit generators (DRBGs) integrated into external chips, such as Trusted Platform…”

Section: Introductionmentioning

confidence: 99%

A High-Quality Random Number Generator Using Multistage Ring Oscillators and Fast Fourier Transform-Based Noise Extraction

Singh,

Hasan,

Azeemuddin

2024

Eng

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Random Numbers are widely employed in cryptography and security applications. This paper presents a novel approach to generate high-quality random bitstreams by harnessing the inherent noise properties of ring oscillators. We implemented ring oscillators with varying numbers of stages (3, 5, and 7), different geometries and different startup voltages in Cadence and recorded their total output power, which includes the cumulative noise effects. Subsequently, we exported these power measurements to MATLAB, where we applied a Fast Fourier Transform (FFT)-based technique to extract the total noise characteristics for each ring oscillator. Using the obtained noise data, we generated separate random bitstreams of 10 million bits for the 3-stage, 5-stage, and 7-stage ring oscillators. The final random bitstream, consisting of 10 million bits, was created by performing a bitwise XOR operation on the bitstreams generated by each ring oscillator. The degree of randomness of the generated bitstreams was assessed using the NIST 800-22 statistical test suite. Remarkably, the final random bitstream exhibited strong robustness and suitability for cryptographic applications. This innovative approach leverages the noise properties of ring oscillators to create reliable random bitstreams, offering potential applications in secure communications and cryptography. The results highlight the feasibility of using ring oscillators as noise sources for random bit generation and underscore their effectiveness in meeting stringent randomness criteria.

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Section: Introductionmentioning

confidence: 99%