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Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/3362
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dc.contributor.authorChervyakov, N. I.-
dc.contributor.authorЧервяков, Н. И.-
dc.contributor.authorBabenko, M. G.-
dc.contributor.authorБабенко, М. Г.-
dc.contributor.authorKucherov, N. N.-
dc.contributor.authorКучеров, Н. Н.-
dc.contributor.authorKuchukov, V. A.-
dc.contributor.authorКучуков, В. А.-
dc.contributor.authorShabalina, M. N.-
dc.contributor.authorШабалина, М. Н.-
dc.date.accessioned2018-10-31T09:53:18Z-
dc.date.available2018-10-31T09:53:18Z-
dc.date.issued2016-
dc.identifier.citationChervyakov, N.I., Babenko, M.G., Kucherov, N.N., Kuchukov, V.A., Shabalina, M.N. Researches of algorithm of PRNG on the basis of bilinear pairing on points of an elliptic curve with use of a neural network // Advances in Intelligent Systems and Computing. - 2016. - Volume 427. - Pages 167-173ru
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-84958253822&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=north+caucasus+federal+university&sid=4a5a00547f1a7b38888040771974d4c5&sot=afnl&sdt=cl&cluster=scopubyr%2c%222016%22%2ct&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&relpos=106&citeCnt=2&searchTerm=-
dc.identifier.urihttp://hdl.handle.net/20.500.12258/3362-
dc.description.abstractIn this paper pseudorandom number generator based on elliptic curve bilinear pairing is developed. Residue number system and approximate method are used for effictive realization of modular operations over finite field that allows to increase the speed of pseudorandom number generator for −256 by 2,15 times compared to similar PRNG that uses positional notation. The developed pseudorandom number generator based on neural network has as good statistical properties as random sequences from site random.org and passes Diehard testsru
dc.language.isoenru
dc.publisherSpringer Verlagru
dc.relation.ispartofseriesAdvances in Intelligent Systems and Computing-
dc.subjectBilinear pairingru
dc.subjectElliptic curveru
dc.subjectNeural networksru
dc.subjectPseudo random number generatorru
dc.subjectResidue number system (RNS)ru
dc.titleResearches of algorithm of PRNG on the basis of bilinear pairing on points of an elliptic curve with use of a neural networkru
dc.typeСтатьяru
vkr.amountPages 167-173ru
vkr.instИнститут математики и естественных наук-
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