一个保持鲁棒混沌性质的映射变换

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Marcin Lawnik , Eric Campos-Cantón , Lazaros Moysis , Murilo S. Baptista , Christos Volos
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引用次数: 0

摘要

鲁棒混沌是一种以控制参数的可变性导致混沌持续发生为特征的现象。因此,具有这种特性的混沌系统在各种应用中都是非常理想的,例如基于混沌的密码学。允许构造具有鲁棒混沌的映射的性质之一是s -单峰性质。本文提出了一种将s -单峰映射变换为其偏斜形式同时保持s -单峰性质的新方法。因此,用一个新的参数q∈(0,1)定义了一个新的歪斜映射族,它允许对参数q的任何值生成鲁棒混沌。除了关于这种转换的理论结果之外,使用已知的经典混沌系统,例如逻辑映射或正弦映射,提出了一些新的混沌映射族的例子。本文还讨论了斜映射在混沌密码中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A transformation of mappings preserving the property of robust chaos

A transformation of mappings preserving the property of robust chaos
Robust chaos is a phenomenon characterized by the continuous occurrence of chaos for the variability of control parameters. Therefore, chaotic systems with this property are highly desirable in various applications, e.g. chaos-based cryptography. One of the properties that allows the construction of maps with robust chaos is the S-unimodality property. This paper presents a new method to transform an S-unimodal map to its skew form while preserving the S-unimodal property. Thus, a new family of skew maps is defined with a new parameter q(0,1), which allows the generation of robust chaos for any value of the parameter q. In addition to the theoretical results concerning this transformation, a number of examples of new families of chaotic maps are presented using known classical chaotic systems, such as the logistic map or the sine map. The application of skew maps in chaotic cryptography is also discussed in this paper.
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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