Cryptology ePrint Archive: Report 2015/593

A Physical Approach for Stochastic Modeling of TERO-based TRNG

Patrick HADDAD and Viktor FISCHER and Florent BERNARD and Jean NICOLAI

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.

Category / Keywords: hardware random number generators, ring oscillators, jitter model, entropy, statistical tests

Original Publication (in the same form): IACR-CHES-2015

Date: received 15 Jun 2015

Contact author: fischer at univ-st-etienne fr

Available format(s): PDF | BibTeX Citation

Version: 20150621:162928 (All versions of this report)

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