A Physical Approach for Stochastic Modeling of TERO-based TRNG

Abstract : Security in random number generation for cryptography is closely related to the entropy rate at the generator output. This rate has to be evaluated using an appropriate stochastic model. The stochastic model proposed in this paper is dedicated to the transition effect ring oscillator (TERO) based true random number generator (TRNG) proposed by Varchola and Drutarovsky in 2010. The advantage and originality of this model is that it is derived from a physical model based on a detailed study and on the precise electrical description of the noisy physical phenomena that contribute to the generation of random numbers. We compare the proposed electrical description with data generated in a 28 nm CMOS ASIC implementation. Our experimental results are in very good agreement with those obtained with both the physical model of TERO's noisy behavior and with the stochastic model of the TERO TRNG, which we also confirmed using the AIS 31 test suites.
Type de document :
Communication dans un congrès
Workshop on Cryptographic Hardware and Embedded Systems, CHES 2015, Sep 2015, st-malo, France. 2015
Liste complète des métadonnées

Littérature citée [11 références]  Voir  Masquer  Télécharger

https://hal-ujm.archives-ouvertes.fr/ujm-01164105
Contributeur : Nathalie Bochard <>
Soumis le : mardi 16 juin 2015 - 11:07:25
Dernière modification le : jeudi 26 juillet 2018 - 01:10:32
Document(s) archivé(s) le : mardi 15 septembre 2015 - 14:56:45

Fichier

2015_CHES_HADDAD_et_al.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : ujm-01164105, version 1

Citation

Patrick Haddad, Viktor Fischer, Florent Bernard, Jean Nicolai. A Physical Approach for Stochastic Modeling of TERO-based TRNG. Workshop on Cryptographic Hardware and Embedded Systems, CHES 2015, Sep 2015, st-malo, France. 2015. 〈ujm-01164105〉

Partager

Métriques

Consultations de la notice

142

Téléchargements de fichiers

391