A Generalized Stability Theorem for Discrete-Time Nonautonomous Chaos System with Applications

Firstly, this study introduces a definition of generalized stability (GST) in discrete-time nonautonomous chaos system (DNCS), which is an extension for chaos generalized synchronization. Secondly, a constructive theorem of DNCS has been proposed. As an example, a GST DNCS is constructed based on a...

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Main Authors: Mei Zhang, Danling Wang, Lequan Min, Xue Wang
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2015/121359
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spelling doaj-6983fb7271d44ad2b20c41e5e05302982020-11-24T21:09:01ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/121359121359A Generalized Stability Theorem for Discrete-Time Nonautonomous Chaos System with ApplicationsMei Zhang0Danling Wang1Lequan Min2Xue Wang3School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, ChinaSchool of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, ChinaSchool of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, ChinaSchool of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, ChinaFirstly, this study introduces a definition of generalized stability (GST) in discrete-time nonautonomous chaos system (DNCS), which is an extension for chaos generalized synchronization. Secondly, a constructive theorem of DNCS has been proposed. As an example, a GST DNCS is constructed based on a novel 4-dimensional discrete chaotic map. Numerical simulations show that the dynamic behaviors of this map have chaotic attractor characteristics. As one application, we design a chaotic pseudorandom number generator (CPRNG) based on the GST DNCS. We use the SP800-22 test suite to test the randomness of four 100-key streams consisting of 1,000,000 bits generated by the CPRNG, the RC4 algorithm, the ZUC algorithm, and a 6-dimensional CGS-based CPRNG, respectively. The numerical results show that the randomness performances of the two CPRNGs are promising. In addition, theoretically the key space of the CPRNG is larger than 21116. As another application, this study designs a stream avalanche encryption scheme (SAES) in RGB image encryption. The results show that the GST DNCS is able to generate the avalanche effects which are similar to those generated via ideal CPRNGs.http://dx.doi.org/10.1155/2015/121359
collection DOAJ
language English
format Article
sources DOAJ
author Mei Zhang
Danling Wang
Lequan Min
Xue Wang
spellingShingle Mei Zhang
Danling Wang
Lequan Min
Xue Wang
A Generalized Stability Theorem for Discrete-Time Nonautonomous Chaos System with Applications
Mathematical Problems in Engineering
author_facet Mei Zhang
Danling Wang
Lequan Min
Xue Wang
author_sort Mei Zhang
title A Generalized Stability Theorem for Discrete-Time Nonautonomous Chaos System with Applications
title_short A Generalized Stability Theorem for Discrete-Time Nonautonomous Chaos System with Applications
title_full A Generalized Stability Theorem for Discrete-Time Nonautonomous Chaos System with Applications
title_fullStr A Generalized Stability Theorem for Discrete-Time Nonautonomous Chaos System with Applications
title_full_unstemmed A Generalized Stability Theorem for Discrete-Time Nonautonomous Chaos System with Applications
title_sort generalized stability theorem for discrete-time nonautonomous chaos system with applications
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2015-01-01
description Firstly, this study introduces a definition of generalized stability (GST) in discrete-time nonautonomous chaos system (DNCS), which is an extension for chaos generalized synchronization. Secondly, a constructive theorem of DNCS has been proposed. As an example, a GST DNCS is constructed based on a novel 4-dimensional discrete chaotic map. Numerical simulations show that the dynamic behaviors of this map have chaotic attractor characteristics. As one application, we design a chaotic pseudorandom number generator (CPRNG) based on the GST DNCS. We use the SP800-22 test suite to test the randomness of four 100-key streams consisting of 1,000,000 bits generated by the CPRNG, the RC4 algorithm, the ZUC algorithm, and a 6-dimensional CGS-based CPRNG, respectively. The numerical results show that the randomness performances of the two CPRNGs are promising. In addition, theoretically the key space of the CPRNG is larger than 21116. As another application, this study designs a stream avalanche encryption scheme (SAES) in RGB image encryption. The results show that the GST DNCS is able to generate the avalanche effects which are similar to those generated via ideal CPRNGs.
url http://dx.doi.org/10.1155/2015/121359
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