Generation a shared secret using artificial neural networks

In the Kanter’s and Kinsella’s works is proposes the use of two synchronized artificial neural networks (SANN) connected by opening communication channel to confidential formation of a common cryptographic key. At the same time, there are few questions of practical suitability of this technology for...

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Main Authors: U. F. Holikau, M. L. Radziukevich
Format: Article
Language:English
Published: Belarusian National Technical University 2019-08-01
Series:Системный анализ и прикладная информатика
Subjects:
Online Access:https://sapi.bntu.by/jour/article/view/266
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author U. F. Holikau
M. L. Radziukevich
author_facet U. F. Holikau
M. L. Radziukevich
author_sort U. F. Holikau
collection DOAJ
description In the Kanter’s and Kinsella’s works is proposes the use of two synchronized artificial neural networks (SANN) connected by opening communication channel to confidential formation of a common cryptographic key. At the same time, there are few questions of practical suitability of this technology for cryptographic applications. There are no recommendations on the choice of parameters of the used networks, ensuring acceptable speed and guaranteed confidentiality of the generated general secret.In this regard, it is interesting to substantiate the rational values of the parameters of ANN from the point of view of cryptographic requirements and security analysis of the proposed method of formation of cryptographic keys.
format Article
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institution Kabale University
issn 2309-4923
2414-0481
language English
publishDate 2019-08-01
publisher Belarusian National Technical University
record_format Article
series Системный анализ и прикладная информатика
spelling doaj-art-2aa19f3a13e3459db7d16a854c717a562025-02-03T05:16:51ZengBelarusian National Technical UniversityСистемный анализ и прикладная информатика2309-49232414-04812019-08-0102495610.21122/2309-4923-2019-2-49-56204Generation a shared secret using artificial neural networksU. F. Holikau0M. L. Radziukevich1Belarusian National Technical UniversityResearch Institute for the Technical Protection of InformationIn the Kanter’s and Kinsella’s works is proposes the use of two synchronized artificial neural networks (SANN) connected by opening communication channel to confidential formation of a common cryptographic key. At the same time, there are few questions of practical suitability of this technology for cryptographic applications. There are no recommendations on the choice of parameters of the used networks, ensuring acceptable speed and guaranteed confidentiality of the generated general secret.In this regard, it is interesting to substantiate the rational values of the parameters of ANN from the point of view of cryptographic requirements and security analysis of the proposed method of formation of cryptographic keys.https://sapi.bntu.by/jour/article/view/266synchronized artificial neural networksattackcommon cryptographic keyparameters of the synchronized artificial neural networks
spellingShingle U. F. Holikau
M. L. Radziukevich
Generation a shared secret using artificial neural networks
Системный анализ и прикладная информатика
synchronized artificial neural networks
attack
common cryptographic key
parameters of the synchronized artificial neural networks
title Generation a shared secret using artificial neural networks
title_full Generation a shared secret using artificial neural networks
title_fullStr Generation a shared secret using artificial neural networks
title_full_unstemmed Generation a shared secret using artificial neural networks
title_short Generation a shared secret using artificial neural networks
title_sort generation a shared secret using artificial neural networks
topic synchronized artificial neural networks
attack
common cryptographic key
parameters of the synchronized artificial neural networks
url https://sapi.bntu.by/jour/article/view/266
work_keys_str_mv AT ufholikau generationasharedsecretusingartificialneuralnetworks
AT mlradziukevich generationasharedsecretusingartificialneuralnetworks