Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12258/3335
Title: The EC sequences on points of an elliptic curve realization using neural networks
Authors: Chervyakov, N. I.
Червяков, Н. И.
Babenko, M. G.
Бабенко, М. Г.
Deryabin, M. A.
Дерябин, М. А.
Kucherov, N. N.
Кучеров, Н. Н.
Kuchukova, N. N.
Кучукова, Н. Н.
Keywords: EC sequences;Elliptic curve;Neural network of a finite ring;Residue number system (RNS)
Issue Date: 2016
Publisher: Springer Verlag
Citation: Chervyakov, N.I., Babenko, M.G., Deryabin, M.A., Kucherov, N.N., Kuchukova, N.N. The EC sequences on points of an elliptic curve realization using neural networks // Advances in Intelligent Systems and Computing. - 2016. - Volume 427. - Pages 147-154
Series/Report no.: Advances in Intelligent Systems and Computing
Abstract: This paper shows that pseudorandom number generator based on ECsequence doesn’t satisfy the condition of Knuth k-distribution. A modified pseudorandom number generator on elliptic curve points built in neural network basis is proposed. The proposed generator allows to improve statistical properties of the sequence based on elliptic curve points so that it satisfies the condition of kdistribution i.e. the sequence is pseudorandom. Application of Neural network over a finite ring to arithmetic operations over finite field allows to increase the speed of pseudorandom number generator on elliptic curve points EC-256 by 1,73 times due to parallel structure
URI: https://www.scopus.com/record/display.uri?eid=2-s2.0-84958260764&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=north+caucasus+federal+university&sid=94a185ef2a894025076dc32df599dd02&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=95&citeCnt=2&searchTerm=
http://hdl.handle.net/20.500.12258/3335
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