DC Field | Value | Language |
dc.contributor.author | Zalivaka, S. S. | - |
dc.contributor.author | Ivaniuk, A. A. | - |
dc.coverage.spatial | Los Altos Hills | ru_RU |
dc.date.accessioned | 2023-02-07T12:14:17Z | - |
dc.date.available | 2023-02-07T12:14:17Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Zalivaka, 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.isbn | 978-3-031-16344-9 | - |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/49893 | - |
dc.description.abstract | True 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.iso | en | ru_RU |
dc.publisher | Silicon Valley Polytechnic Institute | ru_RU |
dc.subject | публикации ученых | ru_RU |
dc.subject | physical unclonable function | ru_RU |
dc.subject | NAND flash | ru_RU |
dc.subject | true random number generator | ru_RU |
dc.subject | unique identification | ru_RU |
dc.subject | scrambler | ru_RU |
dc.title | NAND Flash Memory Devices Security Enhancement Based on Physical Unclonable Functions | ru_RU |
dc.type | Book | ru_RU |
Appears in Collections: | Публикации в зарубежных изданиях
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