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

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 operation. The dependability of the different...

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Bibliographic Details
Published inIEEE transactions on circuits and systems. I, Regular papers Vol. 65; no. 1; pp. 247 - 256
Main Authors Martin, Honorio, Di Natale, Giorgio, Entrena, Luis
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Aging
Circuit faults
dependability
Engineering Sciences
Entropy
Generators
Guidelines
Micro and nanotechnologies
Microelectronics
on-line testing
Random number sampling
Random numbers
Security
self-repairable
Testing
TRNGs
TRNGs
Self-repairable
Dependability
On-line testing
Online AccessGet full text
ISSN1549-8328
1558-0806
1558-0806
DOI10.1109/TCSI.2017.2711033

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Summary: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 operation. The dependability of the different blocks that compose the system is crucial to guarantee the security. In this paper, we provide some general guidelines for designers to create more dependable true random number generators. In addition, a case of study where the system dependability has been improved is presented.
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ISSN:1549-8328
1558-0806
1558-0806
DOI:10.1109/TCSI.2017.2711033