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Please use this identifier to cite or link to this item: http://10.10.120.238:8080/xmlui/handle/123456789/220
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dc.contributor.authorMaurya A.en_US
dc.contributor.authorSingh A.en_US
dc.contributor.authorNaz S.F.en_US
dc.contributor.authorShah A.P.en_US
dc.date.accessioned2023-11-30T08:14:16Z-
dc.date.available2023-11-30T08:14:16Z-
dc.date.issued2022-
dc.identifier.isbn978-3031215131-
dc.identifier.issn1865-0929-
dc.identifier.otherEID(2-s2.0-85145008468)-
dc.identifier.urihttps://dx.doi.org/10.1007/978-3-031-21514-8_25-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/220-
dc.description.abstractIn today’s modern world, when security of hardware devices is a must, then hardware-based encryption architectures like physically unclonable functions (PUF) and true random number generators (TRNG) are playing a very crucial role in hardware security. These hardware security architectures are able to generate random and unpredictable keys for encryption and decryption of data. This paper proposes a new architecture of QCA technology based TRNG using SR Latch and metastability. 4 statistical NIST test have been performed on proposed TRNG. Results of the NIST test shows that proposed TRNG is generating truly random sequences. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceCommunications in Computer and Information Scienceen_US
dc.subjectHardware securityen_US
dc.subjectMetastabilityen_US
dc.subjectPUFen_US
dc.subjectQCAen_US
dc.subjectTRNGen_US
dc.titleMetastable SR Flip-Flop Based True Random Number Generator Using QCA Technologyen_US
dc.typeConference Paperen_US
Appears in Collections:Conference Paper

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