A performance metric for discrete-time chaos-based truly random number generators

Ahmad Beirami, Hamid Nejati, Yehia Massoud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

In this paper, we develop an information entropy-based metric that represents the statistical quality of the generated binary sequence in Truly Random Number Generators (TRNG). The metric can be used for the design and optimization of the TRNG circuits as well as the development of efficient post-processing units for recovering the degraded statistical characteristics of the signal due to process variations. ©2008 IEEE.
Original languageEnglish (US)
Title of host publicationMidwest Symposium on Circuits and Systems
Pages133-136
Number of pages4
DOIs
StatePublished - Oct 27 2008
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2022-09-13

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