Fast algorithm for computation the parameters of s-boxes that determine the security of SNOW 2.0-like stream ciphers against correlation attacks over extension fields

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dc.contributor.authorPoremskyi, Mykhailo
dc.date.accessioned2023-05-12T05:00:02Z
dc.date.available2023-05-12T05:00:02Z
dc.date.issued2021
dc.description.abstractThe security of SNOW 2.0-like stream ciphers against a wide class of correlation attacks can be evaluated by values of some numerical parameters of s-boxes used in these ciphers. We propose a fast algorithm that computes the values of these parameters. The proposed algorithm is based on the fast Hadamard transform and has significantly lower time complexity compared to the previously known ones. We also show experimentally, using the Monte Carlo method, that for most random 8 x 8 s-boxes the values of the considered parameters ensure an appropriate security level of SNOW 2.0-like stream ciphers against known correlation attacks.uk
dc.format.pagerangePp. 52-57uk
dc.identifier.citationPoremskyi, M. Fast algorithm for computation the parameters of s-boxes that determine the security of SNOW 2.0-like stream ciphers against correlation attacks over extension fields / Mykhailo Poremskyi // Theoretical and Applied Cybersecurity : scientific journal. – 2021. – Vol. 3, Iss. 1. – Pp. 52–57. – Bibliogr.: 11 ref.uk
dc.identifier.doihttps://doi.org/10.20535/tacs.2664-29132021.1.251312
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/55589
dc.language.isoenuk
dc.publisherIgor Sikorsky Kyiv Polytechnic Instituteuk
dc.publisher.placeKyivuk
dc.relation.ispartofTheoretical and Applied Cybersecurity: scientific journal, Vol. 3, No. 1uk
dc.subjectalgorithmic cryptanalysisuk
dc.subjectSNOW 2.0-like stream cipheruk
dc.subjectcorrelation attackuk
dc.subjectsecurity evaluationuk
dc.subjectfast Hadamard transformuk
dc.subjectSNOW 2.0uk
dc.subjectSTRUMOKuk
dc.titleFast algorithm for computation the parameters of s-boxes that determine the security of SNOW 2.0-like stream ciphers against correlation attacks over extension fieldsuk
dc.typeArticleuk

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Theoretical and Applied Cybersecurity: scientific journal, Vol. 3, No. 1