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True random number generator implemented in 130 nm CMOS nanotechnology

dc.contributor.authorMonteiro, Pedro
dc.contributor.authorOliveira, Luís
dc.contributor.authorCasaleiro, João
dc.date.accessioned2023-04-26T09:35:33Z
dc.date.available2023-04-26T09:35:33Z
dc.date.issued2022-08-11
dc.description.abstractRandom generators systems have the capacity to generate cryptographic keys which, when mixed with the in formation, hide it in an efficient and timely manner. There are two categories of RNG, being truly random (TRNG) or pseudorandom (PRNG). To study the entropy source based on the noise of an oscillator, and to achieve that, an RNG circuit was designed to have a low power consumption, a high randomness and a low cost and area usage. The chosen architecture for this paper is a hybrid RNG, which uses oscillators and a chaotic circuit to generate the random bits. With the simulation of the circuit, it was found to be at the objectives mark, having a low power consumption of 1.19 mW, a high throughput of 25 Mbit/s and an energy per bit of 47.6 pJ/bit. However, due to limitations with the simulation, it wasn’t possible to run all the statistical tests, although all the ran tests were passed.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMONTEIRO, Pedro; OLIVEIRA, Luís; CASALEIRO, João – True random number generator implemented in 130 nm CMOS nanotechnology. In 2022 International Young Engineers Forum (YEF-ECE). Caparica, Lisbon, Portugal: IEEE, 2022. ISBN 978-1-6654-6731-5. Pp. 52-56.pt_PT
dc.identifier.doi10.1109/YEF-ECE55092.2022.9849994pt_PT
dc.identifier.isbn978-1-6654-6731-5
dc.identifier.isbn978-1-6654-6732-2
dc.identifier.urihttp://hdl.handle.net/10400.21/15935
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationfoRESTER PCIF/SSI/0102/2017 - FCTpt_PT
dc.relationCentre of Technology and Systems
dc.relation.publisherversionhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9849994pt_PT
dc.subjectPRNGpt_PT
dc.subjectTRNGpt_PT
dc.subjectOscillatorpt_PT
dc.subjectChaoticpt_PT
dc.subjectRandompt_PT
dc.subjectCryptographicpt_PT
dc.subjectInformationpt_PT
dc.titleTrue random number generator implemented in 130 nm CMOS nanotechnologypt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleCentre of Technology and Systems
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT
oaire.citation.conferencePlaceCaparica / Lisbon, Portugal - 01 July 2022pt_PT
oaire.citation.endPage56pt_PT
oaire.citation.startPage52pt_PT
oaire.citation.title2022 International Young Engineers Forum (YEF-ECE)pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameCasaleiro
person.givenNameJoão
person.identifier.ciencia-id101D-E2CA-5F74
person.identifier.orcid0000-0002-4722-0954
person.identifier.scopus-author-id35241828400
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication15646b2c-e3fb-4cbf-8293-1770ba8420e3
relation.isAuthorOfPublication.latestForDiscovery15646b2c-e3fb-4cbf-8293-1770ba8420e3
relation.isProjectOfPublicationf8f1ae32-2df8-4a1e-8a9c-e6f7d37e69be
relation.isProjectOfPublication.latestForDiscoveryf8f1ae32-2df8-4a1e-8a9c-e6f7d37e69be

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