Please use this identifier to cite or link to this item: http://dspace2020.uniten.edu.my:8080/handle/123456789/10297
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dc.contributor.authorNoor Alia Binti Nor Hashimen_US
dc.contributor.authorJulius Teoen_US
dc.contributor.authorMuhammad Saiful Ariffin Hamiden_US
dc.contributor.authorDr. Fazrena Azlee Binti Hamiden_US
dc.date.accessioned2018-06-25T02:50:43Z-
dc.date.available2018-06-25T02:50:43Z-
dc.date.issued2017-
dc.identifier.urihttp://dspace.uniten.edu.my/jspui/handle/123456789/10297-
dc.description.abstractRandom number generation is an important part of cryptography because there are flaws in random number generation that can be taken advantage by attackers that compromised encryption systems that are algorithmically secure. True random number generators (TRNGs) are the best in producing random numbers. TRNGs works by measuring a controlled and organized physical process and the randomness of TRNG can be accurately categorized and measured. This paper presents a memristor based ring oscillator TRNG which uses different prime number of inverters. All of the ring oscillators (ROs) were designed using LT SPICE 0.18 µm model technology by Silterra. Performance calculation demonstrated that the output random numbers produced by the proposed TRNG have the performance parameters uniqueness of 49.778%, bit-aliasing of 44% and uniformity of 44%.en_US
dc.language.isoenen_US
dc.subjectMemristoren_US
dc.subjectRing oscillatoren_US
dc.subjectSPICEen_US
dc.titleDesign and Analysis Memristor based Ring Oscillators True Random Number Generatoren_US
dc.typeConference Proceedingen_US
dc.relation.conference4th NatGrad Conference April 26-27, 2017 UNITEN, Malaysia.en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairetypeConference Proceeding-
Appears in Collections:COGS Scholarly Publication
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