Literature DB >> 33786086

Research on cascading high-dimensional isomorphic chaotic maps.

Qiujie Wu1,2, Fanghai Zhang1,2, Qinghui Hong3, Xiaoping Wang1,2, Zhigang Zeng1,2.   

Abstract

In order to overcome the security weakness of the discrete chaotic sequence caused by small Lyapunov exponent and keyspace, a general chaotic construction method by cascading multiple high-dimensional isomorphic maps is presented in this paper. Compared with the original map, the parameter space of the resulting chaotic map is enlarged many times. Moreover, the cascaded system has larger chaotic domain and bigger Lyapunov exponents with proper parameters. In order to evaluate the effectiveness of the presented method, the generalized 3-D Hénon map is utilized as an example to analyze the dynamical behaviors under various cascade modes. Diverse maps are obtained by cascading 3-D Hénon maps with different parameters or different permutations. It is worth noting that some new dynamical behaviors, such as coexisting attractors and hyperchaotic attractors are also discovered in cascaded systems. Finally, an application of image encryption is delivered to demonstrate the excellent performance of the obtained chaotic sequences. © Springer Nature B.V. 2020.

Entities:  

Keywords:  Cascade system; High-dimensional chaotic map; Image encryption; Lyapunov exponent spectrum

Year:  2020        PMID: 33786086      PMCID: PMC7947129          DOI: 10.1007/s11571-020-09583-9

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  17 in total

1.  Dynamic Parameter-Control Chaotic System.

Authors:  Zhongyun Hua; Yicong Zhou
Journal:  IEEE Trans Cybern       Date:  2015-12-17       Impact factor: 11.448

2.  Approximate expressions of the bifurcating periodic solutions in a neuron model with delay-dependent parameters by perturbation approach.

Authors:  Min Xiao; Jinde Cao
Journal:  Cogn Neurodyn       Date:  2010-06-04       Impact factor: 5.082

3.  Neurobiological basis of feeling of knowing in episodic memory.

Authors:  Metehan Irak; Can Soylu; Gözem Turan; Dicle Çapan
Journal:  Cogn Neurodyn       Date:  2019-02-18       Impact factor: 5.082

4.  Synchronization of chaotic nonlinear continuous neural networks with time-varying delay.

Authors:  P Balasubramaniam; R Chandran; S Jeeva Sathya Theesar
Journal:  Cogn Neurodyn       Date:  2011-07-06       Impact factor: 5.082

5.  Synchronization study in ring-like and grid-like neuronal networks.

Authors:  Jingyi Qu; Rubin Wang; Ying Du; Jianting Cao
Journal:  Cogn Neurodyn       Date:  2011-09-13       Impact factor: 5.082

6.  Equilibrium analysis and phase synchronization of two coupled HR neurons with gap junction.

Authors:  Haixia Wang; Qingyun Wang; Qishao Lu; Yanhong Zheng
Journal:  Cogn Neurodyn       Date:  2012-09-28       Impact factor: 5.082

7.  Navigation-synchronized multimodal control wheelchair from brain to alternative assistive technologies for persons with severe disabilities.

Authors:  Dilok Puanhvuan; Sarawin Khemmachotikun; Pongsakorn Wechakarn; Boonyanuch Wijarn; Yodchanan Wongsawat
Journal:  Cogn Neurodyn       Date:  2017-02-15       Impact factor: 5.082

8.  Coexisting multiple attractors and riddled basins of a memristive system.

Authors:  Guangyi Wang; Fang Yuan; Guanrong Chen; Yu Zhang
Journal:  Chaos       Date:  2018-01       Impact factor: 3.642

9.  Scale-free behaviour and metastable brain-state switching driven by human cognition, an empirical approach.

Authors:  Aldo Mora-Sánchez; Gérard Dreyfus; François-Benoît Vialatte
Journal:  Cogn Neurodyn       Date:  2019-04-12       Impact factor: 5.082

10.  Coexisting Behaviors of Asymmetric Attractors in Hyperbolic-Type Memristor based Hopfield Neural Network.

Authors:  Bocheng Bao; Hui Qian; Quan Xu; Mo Chen; Jiang Wang; Yajuan Yu
Journal:  Front Comput Neurosci       Date:  2017-08-23       Impact factor: 2.380

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