On the Impact of Metastability in Jitter Based TRNG

Ring oscillator (RO)-based true random number generators (TRNGs) rely on phase noise to produce random bits. Certification standards, such as BSI AIS20/31 and NIST SP 800-90B, mandate or recommend, respectively, a stochastic model of the entropy source, typically incorporating thermal and optionally flicker noise contributions to phase noise. Common architectures for RO-based TRNGs include the Elementary RO (ERO) and Multi-RO (MURO) designs, both of which generate random bits by sampling unsynchronized ring oscillators using another oscillator. However, sampling unsynchronized signals can also induce metastability events in electronic circuits. While metastable bits are generated through a process that appears as random, they are not taken into account in the phase noise model hypothesis, thereby reducing confidence in the TRNG output's alignment with the stochastic model of its entropy source and, most probably, overestimating entropy. This paper investigates the influence of metastability on randomness generation in RObased TRNGs. First, we evaluate the probability of metastable events in both ERO and MURO architectures, showing that a substantial fraction of generated bits deviate from the phase noise model due to metastability. Next, we analyze how this proportion of metastable bits limits the maximum achievable entropy for ERO and MURO. Finally, exploring design considerations mitigating the metastability impact for RO based TRNGs.

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Published
2025-05-05
DOI
https://doi.org/10.1109/host64725.2025.11050059
Primary Topic
Cellular Automata and Applications
Type
article
Field-Weighted Citation Impact
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article

On the Impact of Metastability in Jitter Based TRNG

R. Wacquez, Licinius Benea, Florian Pebay-Peyroula, Mikaël Carmona
Cellular Automata and Applications
article

On the Impact of Metastability in Jitter Based TRNG

R. Wacquez, Licinius Benea, Florian Pebay-Peyroula, Mikaël Carmona
article en

Abstract

Ring oscillator (RO)-based true random number generators (TRNGs) rely on phase noise to produce random bits. Certification standards, such as BSI AIS20/31 and NIST SP 800-90B, mandate or recommend, respectively, a stochastic model of the entropy source, typically incorporating thermal and optionally flicker noise contributions to phase noise. Common architectures for RO-based TRNGs include the Elementary RO (ERO) and Multi-RO (MURO) designs, both of which generate random bits by sampling unsynchronized ring oscillators using another oscillator. However, sampling unsynchronized signals can also induce metastability events in electronic circuits. While metastable bits are generated through a process that appears as random, they are not taken into account in the phase noise model hypothesis, thereby reducing confidence in the TRNG output's alignment with the stochastic model of its entropy source and, most probably, overestimating entropy. This paper investigates the influence of metastability on randomness generation in RObased TRNGs. First, we evaluate the probability of metastable events in both ERO and MURO architectures, showing that a substantial fraction of generated bits deviate from the phase noise model due to metastability. Next, we analyze how this proportion of metastable bits limits the maximum achievable entropy for ERO and MURO. Finally, exploring design considerations mitigating the metastability impact for RO based TRNGs.

Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Laboratoire d'Électronique des Technologies de l'Information (FR), Université Grenoble Alpes (FR)
Agence Nationale de la Recherche
Openalex Percentile: Top 82%
Cellular Automata and Applications
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