ArticleEntropy (Basel, Switzerland)2025
A Novel One-Dimensional Chaotic System for Image Encryption Through the Three-Strand Structure of DNA.
Article in Entropy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A DNA-Based Image Encryption Scheme Using Optimized Lorenz-Sprott Hyperchaotic System.Entropy (Basel, Switzerland) · 2026Article
- Color Image Encryption Based on 3D-SBFCM with Dynamic Rectangular Partitioning and Dynamic S-Box Substitution.Entropy (Basel, Switzerland) · 2026Article
- Some New Maximally Chaotic Discrete Maps.Entropy (Basel, Switzerland) · 2026Article
- Information-Theoretic Medical Image Encryption via LLE-Verified Chaotic Keystreams and DNA Diffusion.Entropy (Basel, Switzerland) · 2025Article
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Authors and funding
5 authors.
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Abstract
Digital images have been widely applied in fields such as mobile devices, the Internet of Things, and medical imaging. Although significant progress has been made in image encryption technology, it still faces many challenges, such as attackers using powerful computing resources and advanced algorithms to crack encryption systems. To address these challenges, this paper proposes a novel image encryption algorithm based on one-dimensional sawtooth wave chaotic system (1D-SAW) and the three-strand structure of DNA. Firstly, a new 1D-SAW chaotic system was designed. By introducing nonlinear terms and periodic disturbances, this system is capable of generating chaotic sequences with high randomness and initial value sensitivity. Secondly, a new diffusion rule based on the three-strand structure of DNA is proposed. Compared with the traditional DNA encoding and XOR operation, this rule further enhances the complexity and anti-attack ability of the encryption process. Finally, the security and randomness of the 1D-SAW and image encryption algorithms were verified through various tests. Results show that this method exhibits better performance in resisting statistical attacks and differential attacks.
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