A method of cryptostability analysis of stochastic transformations, based on the Kohonen self-organizing maps

Autor:	Andrey V. Chirkin, Anton O. Prokofiev, Ekaterina D. Smirnova
Rok vydání:	2018
Předmět:	Pseudorandom number generator Self-organizing map Set (abstract data type) business.industry Computer science media_common.quotation_subject Kohonen self organizing map Quality (business) Pattern recognition Artificial intelligence business media_common
Zdroj:	2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
DOI:	10.1109/eiconrus.2018.8317104
Popis:	The article discusses problems of existing methods for quality estimation of pseudorandom number generators. A method for cryptostability analysis of stochastic transformations based on Kohonen self-organizing maps is proposed. A set of hypotheses is presented and results of their verification by the proposed method are presented. Potential ways of evolution of the proposed method are considered.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::33e24ca001b004b6bfb46c6a01d25377 https://doi.org/10.1109/eiconrus.2018.8317104 Zobrazit plný text záznamu