Skip to Main content Skip to Navigation
New interface
Conference papers

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.
Complete list of metadata

Cited literature [11 references]  Display  Hide  Download
Contributor : Nathalie Bochard Connect in order to contact the contributor
Submitted on : Tuesday, June 16, 2015 - 11:07:25 AM
Last modification on : Sunday, June 26, 2022 - 12:03:34 PM
Long-term archiving on: : Tuesday, September 15, 2015 - 2:56:45 PM


Files produced by the author(s)


  • HAL Id : ujm-01164105, version 1



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. ⟨ujm-01164105⟩



Record views


Files downloads