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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/49893
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dc.contributor.authorZalivaka, S. S.-
dc.contributor.authorIvaniuk, A. A.-
dc.coverage.spatialLos Altos Hillsru_RU
dc.date.accessioned2023-02-07T12:14:17Z-
dc.date.available2023-02-07T12:14:17Z-
dc.date.issued2023-
dc.identifier.citationZalivaka, S. S. NAND Flash Memory Devices Security Enhancement Based on Physical Unclonable Functions / Zalivaka S. S., Ivaniuk A. A. // Frontiers of Quality Electronic Design (QED) / Ali Iranmanesh [editor]. – Los Altos Hills : Silicon Valley Polytechnic Institute, 2022. – С. 1-43. – DOI : https://doi.org/10.1007/978-3-031-16344-9.ru_RU
dc.identifier.isbn978-3-031-16344-9-
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/49893-
dc.description.abstractTrue random number generators (TRNGs) are used in a wide range of applications (e.g., cryptography, statistical sampling, simulation, computer games, etc.). TRNG can be implemented as a part of NAND flash memory device controller and used to support Trusted Computing Group (TCG) standard. The main advantage of TRNGs comparing to pseudorandom number generators (PRNG) is the uniqueness and unpredictability of their produced output values. TRNG is a device or a part of a device that generates random numbers based on some intrinsic physical process. One of the possible ways of extracting random data from electronic devices is to implement physical unclonable functions (PUFs).ru_RU
dc.language.isoenru_RU
dc.publisherSilicon Valley Polytechnic Instituteru_RU
dc.subjectпубликации ученыхru_RU
dc.subjectphysical unclonable functionru_RU
dc.subjectNAND flashru_RU
dc.subjecttrue random number generatorru_RU
dc.subjectunique identificationru_RU
dc.subjectscramblerru_RU
dc.titleNAND Flash Memory Devices Security Enhancement Based on Physical Unclonable Functionsru_RU
dc.typeBookru_RU
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