I. Chugunkov, Bogdana Kliuchnikova, I. M. Yadykin, V. Gulyaev, Vladimir I. Chugunkov
{"title":"Construction of Multidimensional Stochastic Transformation Blocks","authors":"I. Chugunkov, Bogdana Kliuchnikova, I. M. Yadykin, V. Gulyaev, Vladimir I. Chugunkov","doi":"10.1109/IT&QM&IS.2019.8928447","DOIUrl":null,"url":null,"abstract":"The article is devoted to the improvement of stochastic transformation blocks (R-blocks). The principles of R- blocks construction are considered. We review the examples of R- blocks using in the cryptographic algorithms. The structure of two-dimensional stochastic transformation block is proposed, as well as the method for construction of multidimensional R- blocks. The using of improved R-blocks for construction of multidimensional algorithms is proposed. The results of evaluation of statistical properties of the multidimensional stochastic transformation blocks are given.","PeriodicalId":285904,"journal":{"name":"2019 International Conference \"Quality Management, Transport and Information Security, Information Technologies\" (IT&QM&IS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference \"Quality Management, Transport and Information Security, Information Technologies\" (IT&QM&IS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IT&QM&IS.2019.8928447","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The article is devoted to the improvement of stochastic transformation blocks (R-blocks). The principles of R- blocks construction are considered. We review the examples of R- blocks using in the cryptographic algorithms. The structure of two-dimensional stochastic transformation block is proposed, as well as the method for construction of multidimensional R- blocks. The using of improved R-blocks for construction of multidimensional algorithms is proposed. The results of evaluation of statistical properties of the multidimensional stochastic transformation blocks are given.
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