Towards a Dependable True Random Number Generator With Self-Repair Capabilities

Martín González, Honorio; Di Natale, Giorgio; Entrena Arrontes, Luis Alfonso

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Towards a Dependable True Random Number Generator With Self-Repair Capabilities

Author(s): Martín González, Honorio; Di Natale, Giorgio; Entrena Arrontes, Luis Alfonso

Publisher: IEEE

Issued date: 2018-01

Citation: Martin, H., Di Natale, G. & Entrena, L. (2018). Towards a Dependable True Random Number Generator With Self-Repair Capabilities. IEEE Transactions on Circuits and Systems I: Regular Papers, 65(1), pp. 247–256.

ISSN: 1549-8328

DOI: https://doi.org/10.1109/TCSI.2017.2711033

xmlui.dri2xhtml.METS-1.0.item-contributor-funder: Ministerio de Economía y Competitividad (España)

Sponsor: This work was supported in part by ICT COST Action under Grant IC1204 and in part by the Spanish Ministry of Economy and Competitiveness under Grant ESP2015-68245-C4-1-P.

Project: Gobierno de España. ESP2015-68245-C4-1-P

Keywords: TRNGs , Dependability , Self-repairable , On-line testing

URI: http://hdl.handle.net/10016/32692

Abstract:

Many secure-critical systems rely on true random number generators that must guarantee their operational functionality during its intended life. To this end, these generators are subject to intensive online testing in order to discover any flaws in their opera [+]

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