ADCs, Chaos and TRNGs: a Generalized View Exploiting Markov Chain Lumpability Properties

Author

Callegari, Sergio ; Setti, Gianluca

Author_Institution

DEIS, Univ. of Bologna

fYear

2007

fDate

27-30 May 2007

Firstpage

213

Lastpage

216

Abstract

We show that any TRNG architecture based on the cascade of a noise source, an ADC, and a digital postprocessor can be simplified getting rid of the explicit noise source, by modifying the ADC to simultaneously act as both an entropy source and a data acquisition block. Though gains may vary, this is practicable with any ADC type and can be seen as the generalization of a recent proposal where a TRNG was obtained out of the 1 + frac12 bit stages of a pipeline converter

Keywords

Markov processes; analogue-digital conversion; chaos generators; lumped parameter networks; noise generators; random number generation; ADC; Markov chain lumpability properties; TRNG; chaos; data acquisition; digital postprocessor; entropy source; noise source; pipeline converter; Analog-digital conversion; Chaos; Data acquisition; Entropy; Information security; Pipelines; Proposals; Quantization; Random number generation; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on

Conference_Location

New Orleans, LA

Print_ISBN

1-4244-0920-9

Electronic_ISBN

1-4244-0921-7

Type

conf

DOI

10.1109/ISCAS.2007.378314

Filename

4252609

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2890315