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ALGORITHM FOR STATISTICAL ANALYSIS OF ITERATIVE BLOCK CIPHERS BASED ON MACHINE LEARNING TECHNOLOGIES
Author(s) -
А. А. Перов
Publication year - 2019
Language(s) - English
Resource type - Conference proceedings
DOI - 10.25743/ict.2019.46.87.023
Subject(s) - computer science , artificial neural network , block (permutation group theory) , artificial intelligence , statistical analysis , machine learning , algorithm , mathematics , statistics , geometry
Предлагается алгоритм статистического анализа, основанный на применении технологий машинного обучения. В работе используется модель нейронной сети Inception V3, традиционно предназначенной для распознавания графических образов. Предлагается технология адаптации шифртекстов к разработанной методике. A statistical analysis algorithm based on the use of machine learning technologies is proposed. The model of the neural network Inception V3, traditionally designed for recognition of graphic images, is used. The technology of adapting ciphertexts to the developed technique is described.

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