Evidence map›Paper›PMID 42793876›Full record

ArticleEntropy (Basel, Switzerland)2026

A DNA-Based Image Encryption Scheme Using Optimized Lorenz-Sprott Hyperchaotic System.

Wenxia Xu, Liang Xue, Liping Zhu, Jiaofen Li, Guodong Li

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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1 · What the graph read from it

What it found

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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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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wenxia XuSchool of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China.
Liang XueSchool of Mathematics and Computational Science, Guilin University of Electronic Technology, Guilin 541004, China.
Liping ZhuSchool of Mathematics and Data Science, Changji University, Changji 831100, China.
Jiaofen LiSchool of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China.ORCID 0000-0002-7336-2980
Guodong LiSchool of Mathematics and Computational Science, Guilin University of Electronic Technology, Guilin 541004, China.ORCID 0000-0003-1275-2982

Funding

Guangxi Academy of Artificial Intelligence, and the Innovation Project of GUET Graduate Education 2026YCXS144Guangxi Center for Applied Mathematics GuikeAD25069086Natural Science Foundation of Guangxi province of Guodong Li 2026GXNSFAA00640099Third Batch of First-Class Undergraduate Course Program of the Xinjiang Uygur Autonomous Region
6 · The paper itself

Abstract

Chaotic systems have been widely investigated for color image encryption because of their nonlinear dynamics, initial-condition sensitivity, and pseudorandom behavior. However, locating numerically robust parameter regions in high-dimensional hyperchaotic systems remains difficult, while many DNA-based schemes employ fixed or weakly varying rules. This study proposes a color image encryption scheme combining a 6D Lorenz-Sprott system optimized by particle swarm optimization (PSO), symbol-level feedback-dependent DNA transformation, and bidirectional cross-channel chained diffusion. The second-largest Lyapunov exponent is used as the optimization objective to locate parameter sets with at least two positive exponents. The selected system has the Lyapunov spectrum (0.8118, 0.2736, -0.0013, -4.8957, -8.5499, -12.6746) and retains two positive exponents under refined numerical settings and ±1% single-parameter perturbations. One hundred independently initialized sequences satisfy all 15 categories of the NIST SP 800-22 test suite. Tests on six images and three secret keys achieve exact reconstruction in all 18 cases. Across 180 randomly located one-bit plaintext perturbations, the mean NPCR and UACI are 99.6089% and 33.4554%, respectively. For the tested Baboon case, perturbing any initial-state component by approximately 10

Indexed as

chained diffusiondynamic DNA encodinghyperchaotic systemimage encryptionPSO

Identifiers

PMID42793876
PMCPMC13605565

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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.