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基于模糊数对逻辑斯谛映射的改进及其在伪随机数生成和图像加密中的应用

Modification of the Logistic Map Using Fuzzy Numbers with Application to Pseudorandom Number Generation and Image Encryption.

作者信息

Moysis Lazaros, Volos Christos, Jafari Sajad, Munoz-Pacheco Jesus M, Kengne Jacques, Rajagopal Karthikeyan, Stouboulos Ioannis

机构信息

Laboratory of Nonlinear Systems-Circuits & Complexity (LaNSCom), Physics Department, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.

Nonlinear Systems and Applications, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 758307, Vietnam.

出版信息

Entropy (Basel). 2020 Apr 20;22(4):474. doi: 10.3390/e22040474.

DOI:10.3390/e22040474
PMID:33286248
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7516958/
Abstract

A modification of the classic logistic map is proposed, using fuzzy triangular numbers. The resulting map is analysed through its Lyapunov exponent (LE) and bifurcation diagrams. It shows higher complexity compared to the classic logistic map and showcases phenomena, like antimonotonicity and crisis. The map is then applied to the problem of pseudo random bit generation, using a simple rule to generate the bit sequence. The resulting random bit generator (RBG) successfully passes the National Institute of Standards and Technology (NIST) statistical tests, and it is then successfully applied to the problem of image encryption.

摘要

提出了一种使用模糊三角数对经典逻辑斯谛映射的修改方法。通过其李雅普诺夫指数(LE)和分岔图对所得映射进行分析。与经典逻辑斯谛映射相比,它显示出更高的复杂性,并展示了诸如反单调性和危机等现象。然后,使用一个简单规则生成比特序列,将该映射应用于伪随机比特生成问题。所得的随机比特发生器(RBG)成功通过了美国国家标准与技术研究院(NIST)的统计测试,并随后成功应用于图像加密问题。

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本文引用的文献

1
Image encryption based on the pseudo-orbits from 1D chaotic map.基于一维混沌映射伪轨道的图像加密
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2
A new image encryption algorithm based on logistic chaotic map with varying parameter.一种基于变参数逻辑斯谛混沌映射的新型图像加密算法。
Springerplus. 2016 Mar 8;5:289. doi: 10.1186/s40064-016-1959-1. eCollection 2016.
3
On some generalized discrete logistic maps.关于一些广义离散 logistic 映射。
Entropy (Basel). 2022 Apr 27;24(5):613. doi: 10.3390/e24050613.
4
An Optical Image Encryption Method Using Hopfield Neural Network.一种基于霍普菲尔德神经网络的光学图像加密方法。
Entropy (Basel). 2022 Apr 7;24(4):521. doi: 10.3390/e24040521.
5
Single Neuronal Dynamical System in Self-Feedbacked Hopfield Networks and Its Application in Image Encryption.自反馈霍普菲尔德网络中的单个神经元动力学系统及其在图像加密中的应用
Entropy (Basel). 2021 Apr 13;23(4):456. doi: 10.3390/e23040456.
6
Nonlinear Dynamics and Entropy of Complex Systems with Hidden and Self-Excited Attractors II.具有隐藏和自激吸引子的复杂系统的非线性动力学与熵II。
Entropy (Basel). 2020 Dec 18;22(12):1428. doi: 10.3390/e22121428.
7
Coexisting Infinite Orbits in an Area-Preserving Lozi Map.保面积洛齐映射中的共存无限轨道。
Entropy (Basel). 2020 Oct 3;22(10):1119. doi: 10.3390/e22101119.
J Adv Res. 2013 Mar;4(2):163-71. doi: 10.1016/j.jare.2012.05.003. Epub 2012 Jun 28.
4
Control of chaos: methods and applications in mechanics.混沌控制:力学中的方法与应用
Philos Trans A Math Phys Eng Sci. 2006 Sep 15;364(1846):2279-307. doi: 10.1098/rsta.2006.1826.
5
Simple mathematical models with very complicated dynamics.具有非常复杂动力学的简单数学模型。
Nature. 1976 Jun 10;261(5560):459-67. doi: 10.1038/261459a0.