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

Honorio Martin 1 Giorgio Di Natale 2 Luis Entrena 1
2 TEST - TEST
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
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 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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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01700736
Contributor : Giorgio Di Natale <>
Submitted on : Monday, February 5, 2018 - 11:07:52 AM
Last modification on : Wednesday, May 8, 2019 - 2:56:01 PM

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Honorio Martin, Giorgio Di Natale, Luis Entrena. Towards a Dependable True Random Number Generator With Self-Repair Capabilities. IEEE Transactions on Circuits and Systems I: Regular Papers, IEEE, 2018, 65 (1), pp.247-256. ⟨10.1109/TCSI.2017.2711033⟩. ⟨lirmm-01700736⟩

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