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

Loading...
Thumbnail Image
Identifiers
Publication date
2018-01
Defense date
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Impact
Google Scholar
Export
Research Projects
Organizational Units
Journal Issue
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.
Description
Keywords
TRNGs, Dependability, Self-repairable, On-line testing
Bibliographic 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.