Open AccessInformation Technologies Based on Noise-like Signals: I. Discrete Chaotic Algorithms
Author(s) -
Nikita A. Ageykin,
Владимир И. Грачев,
Viktor I. Ryabenkov,
В. В. Колесов
Publication year - 2022
Publication title -
radioèlektronika, nanosistemy, informacionnye tehnologii
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.204
H-Index - 5
eISSN - 2414-1267
pISSN - 2218-3000
DOI - 10.17725/rensit.2022.14.047
Subject(s) - chaotic , algorithm , fractal , computer science , binary number , basis (linear algebra) , theoretical computer science , coding (social sciences) , nonlinear system , cryptography , noise (video) , information theory , mathematics , artificial intelligence , mathematical analysis , statistics , physics , geometry , arithmetic , quantum mechanics , image (mathematics)
Perspective directions of using information technologies based on dynamic chaos for the transmission, processing, storage and protection of information are considered. On the basis of nonlinear systems with chaotic dynamics, finite-dimensional generating mathematical algorithms have been developed for the synthesis of chaotic encoding signals with increased structural complexity. The analysis of structural and fractal complexity of pseudo-random integer and binary sequences has been carried out. It is shown that complex coding signals of this type have a high information capacity and, in terms of statistical, correlation, and fractal properties, practically coincide with the parameters of random sequences and can be effectively used in various multi-user radio engineering systems where high noise immunity, protection against unauthorized access, and cryptographic strength are required.