Evidence map›Paper›PMID 42072538›Full record

ArticleEntropy (Basel, Switzerland)2026

Chaotic Characteristics Analysis of a Strongly Dissipative Nonlinearly Coupled Chaotic System and Its Application in DNA-Encoded RGB Image Encryption.

Zhixin Yu, Zean Tian, Biao Wang, Wei Wang, Ning Pan, Yang Wang, Qian Fang, Xin Zuo, Luxue Yu, Yuxin Jiang and 2 more

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2026. 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

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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

12 authors.

Zhixin YuCollege of Mathematics and Big Data, Guizhou Education University, Guiyang 550018, China.ORCID 0000-0001-5909-9883
Zean TianCollege of Big Data and Information Engineering, Guizhou University, Guiyang 550025, China.ORCID 0000-0002-7037-9939
Biao WangCollege of Mathematics and Big Data, Guizhou Education University, Guiyang 550018, China.
Wei WangCollege of Mathematics and Big Data, Guizhou Education University, Guiyang 550018, China.
Ning PanCollege of Mathematics and Big Data, Guizhou Education University, Guiyang 550018, China.
Yang WangCollege of Mathematics and Big Data, Guizhou Education University, Guiyang 550018, China.
Qian FangCollege of Mathematics and Big Data, Guizhou Education University, Guiyang 550018, China.
Xin ZuoCollege of Mathematics and Big Data, Guizhou Education University, Guiyang 550018, China.
Luxue YuCollege of Mathematics and Big Data, Guizhou Education University, Guiyang 550018, China.
Yuxin JiangCollege of Mathematics and Big Data, Guizhou Education University, Guiyang 550018, China.
Long TianCollege of Mathematics and Big Data, Guizhou Education University, Guiyang 550018, China.
Feiyan YanCollege of Mathematics and Big Data, Guizhou Education University, Guiyang 550018, China.

Funding

Guizhou Provincial Basic Research Program (Natural Science) General Project Qiankehe Basic-MS[2025]078Guizhou Provincial Basic Research Program (Natural Science) Youth Guidance Project QianKeHe Basic - [2024] Youth 040Guizhou Provincial Science;and Technology Program Guizhou Science and Technology Cooperation Talent Project KJZY(2025)044
6 · The paper itself

Abstract

This paper proposes a novel four-dimensional strongly dissipative nonlinearly coupled hyperchaotic system, investigates its dynamical characteristics, and demonstrates its applicability through Deoxyribonucleic Acid (DNA)-encoded RGB image encryption. First, a four-dimensional nonlinearly coupled hyperchaotic system with strong dissipativity is constructed. Nonlinear dynamics analysis methods, including phase trajectory diagrams, Lyapunov exponent spectra, and bifurcation diagrams, are employed to thoroughly reveal the system's complex dynamical evolution mechanisms. The analysis indicates that the system not only possesses a wide range of chaotic parameters but also exhibits rich phenomena of multiple coexisting attractors, demonstrating a high degree of multistability. This characteristic offers potential advantages for image encryption, as it increases the diversity of dynamical behaviors and enhances sensitivity to initial conditions. The physical realizability of the chaotic behavior is further verified through an analog circuit implementation. Consequently, the system supports the design of encryption algorithms with larger key spaces, stronger resistance to phase space reconstruction, and improved pseudo-randomness, making it particularly suitable for applications with extremely high security requirements. Subsequently, leveraging the highly random chaotic sequences generated by this system, combined with various DNA coding rules and operations, the RGB image components are scrambled and diffused for encryption. Security analysis demonstrates that the algorithm effectively passes examinations across multiple dimensions, including histogram analysis, information entropy, adjacent pixel correlation, Number of Pixel Change Rate (NPCR), Unified Average Changing Intensity (UACI), and The Peak Signal-to-noise Ratio (PSNR). It achieves favorable encryption results, significantly enhances image resistance against attacks, and provides a reliable technical solution for the secure transmission of remote sensing and military images.

Indexed as

DNA codinghyperchaotic systemsimage encryptioninformation entropyRGB images

Identifiers

PMID42072538
PMCPMC13114814

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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.