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Auteurs principaux: Alcocer, Miguel, Gómez, Ana Isabel, Gomez-Perez, Domingo
Format: Preprint
Publié: 2026
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Accès en ligne:https://arxiv.org/abs/2603.13525
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author Alcocer, Miguel
Gómez, Ana Isabel
Gomez-Perez, Domingo
author_facet Alcocer, Miguel
Gómez, Ana Isabel
Gomez-Perez, Domingo
contents True Random Number Generators (TRNGs) based on ring oscillators require rigorous statistical validation to ensure cryptographic quality. While the Mauduit-Sárközy $k$-th order correlation measure $C_k$ provides theoretical bounds on pseudorandomness, and Maurer's Universal Statistical Test offers empirical entropy assessment, no prior work has correlated these metrics. This paper presents the first joint validation framework linking Maurer's Z-score to off-peak 2nd-order correlation $C_2$. We also derive the mathematical relationship between the previous two measures and high-order Markov chain transition probabilities in counter-based TRNGs over oscillator sampling architectures. Our results are validated computationally using OpenTRNG implementations, and demonstrate that practical implementations achieve Schmidt's improved bound. The initial results suggest a strong positive correlation between Maurer Z-score and $C_2$. Therefore, the results suggest a unified metric for TRNG quality-assessment can be achieve as a combination of these metrics, simplifying the study of new designs.
format Preprint
id arxiv_https___arxiv_org_abs_2603_13525
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Correlation Bounds and Markov Analysis for Ring-Oscillator TRNGs: A Joint Validation Framework
Alcocer, Miguel
Gómez, Ana Isabel
Gomez-Perez, Domingo
Information Theory
60K40
G.3
True Random Number Generators (TRNGs) based on ring oscillators require rigorous statistical validation to ensure cryptographic quality. While the Mauduit-Sárközy $k$-th order correlation measure $C_k$ provides theoretical bounds on pseudorandomness, and Maurer's Universal Statistical Test offers empirical entropy assessment, no prior work has correlated these metrics. This paper presents the first joint validation framework linking Maurer's Z-score to off-peak 2nd-order correlation $C_2$. We also derive the mathematical relationship between the previous two measures and high-order Markov chain transition probabilities in counter-based TRNGs over oscillator sampling architectures. Our results are validated computationally using OpenTRNG implementations, and demonstrate that practical implementations achieve Schmidt's improved bound. The initial results suggest a strong positive correlation between Maurer Z-score and $C_2$. Therefore, the results suggest a unified metric for TRNG quality-assessment can be achieve as a combination of these metrics, simplifying the study of new designs.
title Correlation Bounds and Markov Analysis for Ring-Oscillator TRNGs: A Joint Validation Framework
topic Information Theory
60K40
G.3
url https://arxiv.org/abs/2603.13525