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GDozenHash Hash Function Based on Three-Dimensional Stochastic Transformations

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dc.contributor.authorIvanov, M.
dc.contributor.authorKomarov, T.
dc.contributor.authorSalikov, E.
dc.contributor.authorChepik, N.
dc.contributor.authorИванов, Михаил Александрович
dc.contributor.authorКомаров, Тимофей Ильич
dc.contributor.authorЧепик, Надежда Анатольевна
dc.date.accessioned2024-11-25T15:39:39Z
dc.date.available2024-11-25T15:39:39Z
dc.date.issued2020
dc.description.abstract© 2020, Springer Nature Switzerland AG.Hash functions along with pseudorandom number generators are the basic elements of stochastic methods of information protection, providing unpredictable behavior of protection tools and objects of protection. The protection from an active opponent can be guaranteed only by using of stochastic methods. GDozenHash hash algorithm based on three-dimensional stochastic transformations Dozen+ is suggested. A feature of the algorithm is a high degree of parallelism at the level of elementary operations, in other words, the hash function is suitable for the implementation with usage of hybrid supercomputer technologies. The paper also presents the results of research on statistical security of the proposed hash algorithm.
dc.format.extentС. 375-385
dc.identifier.citationGDozenHash Hash Function Based on Three-Dimensional Stochastic Transformations / Ivanov, M. [et al.] // Mechanisms and Machine Science. - 2020. - 80. - P. 375-385. - 10.1007/978-3-030-33491-8_45
dc.identifier.doi10.1007/978-3-030-33491-8_45
dc.identifier.urihttps://www.doi.org/10.1007/978-3-030-33491-8_45
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85078152459&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/20158
dc.relation.ispartofMechanisms and Machine Science
dc.titleGDozenHash Hash Function Based on Three-Dimensional Stochastic Transformations
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume80
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relation.isAuthorOfPublication2057ae49-b05e-41cf-bf40-532184e99768
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relation.isAuthorOfPublication.latestForDiscovery3869209c-c34d-4ed7-bc42-d9c796790d92
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