Publication: New Class of Non-binary Pseudorandom Number Generators
| dc.contributor.author | Ivanov, M. A. | |
| dc.contributor.author | Kliuchnikova, B. V. | |
| dc.contributor.author | Salikov, E. A. | |
| dc.contributor.author | Starikovskii, A. | |
| dc.contributor.author | Иванов, Михаил Александрович | |
| dc.date.accessioned | 2024-11-25T15:40:21Z | |
| dc.date.available | 2024-11-25T15:40:21Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | © 2020, Springer Nature Switzerland AG.Pseudo-Random Number Generators (PRNG) has a wide range of applications. PRNG are the most important elements of any information security system. Scope of their application is very wide: in range from key information generation to entering unpredictability into the functioning of protection means and objects. The most interesting classes of PRNG are Linear Feedback Shift Registers (LFSR) and Non-Linear Shift Registers (NLFSR). New class of sequences are formed by NLFSR with structure determined by characteristic polynomials of particular form are considered in this paper. | |
| dc.format.extent | С. 291-298 | |
| dc.identifier.citation | New Class of Non-binary Pseudorandom Number Generators / Ivanov, M.A. [et al.] // Mechanisms and Machine Science. - 2020. - 80. - P. 291-298. - 10.1007/978-3-030-33491-8_35 | |
| dc.identifier.doi | 10.1007/978-3-030-33491-8_35 | |
| dc.identifier.uri | https://www.doi.org/10.1007/978-3-030-33491-8_35 | |
| dc.identifier.uri | https://www.scopus.com/record/display.uri?eid=2-s2.0-85078143953&origin=resultslist | |
| dc.identifier.uri | https://openrepository.mephi.ru/handle/123456789/20161 | |
| dc.relation.ispartof | Mechanisms and Machine Science | |
| dc.title | New Class of Non-binary Pseudorandom Number Generators | |
| dc.type | Conference Paper | |
| dspace.entity.type | Publication | |
| oaire.citation.volume | 80 | |
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