Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12258/3742
Title: The effective neural network implementation of the secret sharing scheme with the use of matrix projections on FPGA
Authors: Chervyakov, N. I.
Червяков, Н. И.
Babenko, M. G.
Бабенко, М. Г.
Kucherov, N. N.
Кучеров, Н. Н.
Garyanina, A. I.
Гарянина, А. И.
Keywords: Matrix projections;Neural network of a finite ring;Secret Sharing Schemes;Artificial intelligence
Issue Date: 2015
Publisher: Springer Verlag
Citation: Chervyakov, N.I., Babenko, M.G., Kucherov, N.N., Garianina, A.I. The effective neural network implementation of the secret sharing scheme with the use of matrix projections on FPGA // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2015. - Volume 9142. - Pages 3-10
Series/Report no.: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract: In this paper neural network implementation of the modified secret sharing scheme based on a matrix projection is offered. Transition from a finite simple Galois field to a complex field allows to reduce by 16 times memory size, necessary for storage of the precalculated constants. Implementation of the modified secret sharing scheme based on a matrix projection with use of the neural network of a finite ring for execution of modular arithmetical addition and multiplication operations in a finite field allows to save on average 30% of the device area and increases the speed of scheme’s work on average by 17%
URI: https://www.scopus.com/record/display.uri?eid=2-s2.0-84947547236&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=north+caucasus+federal+university&sid=2b58301f3b6527e7b3146829ec448bcf&sot=afnl&sdt=cl&cluster=scopubyr%2c%222015%22%2ct&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&relpos=48&citeCnt=7&searchTerm=
http://hdl.handle.net/20.500.12258/3742
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