Evidence map›Paper›PMID 33786086›Full record

ArticleCognitive neurodynamics2021

Research on cascading high-dimensional isomorphic chaotic maps.

Qiujie Wu, Fanghai Zhang, Qinghui Hong, Xiaoping Wang, Zhigang Zeng

Abstract read
In one paragraph

Article in Cognitive neurodynamics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Qiujie WuSchool of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074 China.
Fanghai ZhangSchool of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074 China.
Qinghui HongCollege of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082 China.
Xiaoping WangSchool of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074 China.
Zhigang ZengSchool of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Cascade systemHigh-dimensional chaotic mapImage encryptionLyapunov exponent spectrum

Identifiers

PMID33786086
PMCPMC7947129

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.