A Fully Synthesizable 100Mbps Edge-Chasing True Random Number Generator

Abstract

This paper presents a fully synthesizable True Random Number Generator (TRNG) based on edge chasing in even-stage ring oscillators (RO). The proposed configurable RO with an automatic self-calibration loop enables robust high-speed operations and high-quality outputs under -40 to 125°C and 0.7 to 1.2V conditions, digital layout mismatch and process variations, and power injection attacks. Ten 65nm prototypes designed in unmodified digital flow using only foundry standard cells demonstrate random bit generation at up to 100.8Mbps and pass all NIST tests without post-processing.

Publication
2023 IEEE Symposium on VLSI Circuits
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Yan He
PhD 2023, now at Nvidia
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Kaiyuan Yang
Associate Professor of ECE