Sommaire

  • Cet exposé a été présenté le 27 juin 2025 (13:45 - 14:45).

Description

  • Orateur

    Maciej Skorski - Laboratoire Hubert Curien

The talk examines power noise modelling through Gaussian Processes for secure True Random Number Generators.

 

While revisiting one-sided fractional Brownian motion, we obtain novel contributions by quantifying posterior uncertainty in exact analytical form, establishing quasi-stationary properties, and developing rigorous time-frequency analysis. These results are applied to model oscillator fluctuations of power-noise type, enabling closed-form entropy expressions for TRNGs and a novel GPU-accelerated simulation technique valuable for studying non-standard post-processing.

 

This work bridges machine learning techniques and signal processing to solve hardware security applications.

 

Keywords

Gaussian Process, Power Noise, True Random Number Generator, Fractional Brownian Motion, Entropy Estimation, Hardware Security, GPU Acceleration

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