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Personal cryptography using artificial neural networks
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Date
2016Publisher
Национальный исследовательский ядерный университет МИФИCitation
Bezobrazov, S. V. Personal cryptography using artificial neural networks / S. V. Bezobrazov, J. M. Blackledge // XVIII международная конференция "Нейроинформатика – 2016" : сборник научных трудов, Москва, 25–29 апреля 2016 г. / Российская академия наук [и др.] ; отв. ред. А. Г. Трофимов. – Москва : МИФИ, 2016. – Ч. 3. – Р. 152–161. – Bibliogr.: p. 161 (7 titles).Abstract
This paper presents a method of generating encryption algorithms using neural networks. Based on the application of natural noise sources we ‘teach’ a system to approximate the input noise with the aim of generating an output nonlinear sequence. This output is then treated as an iterator which is subjected to a range of tests to check for potential cryptographic strength in terms of metric. This approach provides the potential for generating an unlimited number of unique Pseudo Random Number Generator (PRNG) that can be used on a ‘one-to-one’ basis.
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