Stochastic model of a metastability-based true random number generator

Molka Ben-Romdhane, Tarik Graba, Jean Luc Danger

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

True random number generator (TRNG) designers should provide a stochastic model of the target of evaluation to be compliant with the AIS-31 standard evaluation process. In this paper, we present a model of a TRNG that extracts its randomness from the metastable behavior of a D-Latch. Such a model needs to be set up for the TRNG evaluation process. In this work, we describe and analyse the randomness coming from a chain of D-Latches when set near their metastable state. Then, we present a physical model of a metastability-based TRNG. The main novelty of this paper is the stochastic modeling process of a metastability-based TRNG. The presented model is validated on FPGA and a 65nm CMOS technology prototype chip.

Original languageEnglish
Title of host publicationTrust and Trustworthy Computing - 6th International Conference, TRUST 2013, Proceedings
Pages92-105
Number of pages14
DOIs
Publication statusPublished - 1 Oct 2013
Externally publishedYes
Event6th International Conference on Trust and Trustworthy Computing, TRUST 2013 - London, United Kingdom
Duration: 17 Jun 201319 Jun 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7904 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Trust and Trustworthy Computing, TRUST 2013
Country/TerritoryUnited Kingdom
CityLondon
Period17/06/1319/06/13

Keywords

  • AIS-31
  • TRNG
  • metastability
  • model
  • noise
  • randomness

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