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A novel image encryption algorithm based on DNA strand exchange and diffusion

Author

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  • Zou, Chengye
  • Wang, Xingyuan
  • Zhou, Changjun
  • Xu, Shujuan
  • Huang, Chun

Abstract

This article proposes an improved tent-dynamic cross coupled map lattice, which has superior ergodicity, broader chaotic range and higher information entropies than cross coupled map lattice and tent-dynamic cross coupled map lattice, and has high suitability for chaos-based image encryption algorithm. Traditional encryption scheme has two significant stages, including image confusion and diffusion. Our encryption algorithm utilizes DNA coding and sequences to construct short DNA strand and long DNA strand, where short DNA strand is used for DNA strand exchange, and long DNA strand is used for DNA strand diffusion. Compared to general image confusion, DNA strand exchange permutates parts of two diverse DNA strands, where the length of exchange is uncertain. Compared to image diffusion, DNA strand diffusion is divided into two categories according to Watson-Crick base pairing property, and different category applies diverse DNA computation operation. Through security analysis and statistical analysis, our encryption scheme can resist different attacks. Experimental results confirm that the proposed algorithm has a high degree of security and the excellent efficiency.

Suggested Citation

  • Zou, Chengye & Wang, Xingyuan & Zhou, Changjun & Xu, Shujuan & Huang, Chun, 2022. "A novel image encryption algorithm based on DNA strand exchange and diffusion," Applied Mathematics and Computation, Elsevier, vol. 430(C).
  • Handle: RePEc:eee:apmaco:v:430:y:2022:i:c:s0096300322003654
    DOI: 10.1016/j.amc.2022.127291
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    References listed on IDEAS

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    1. Sun, Yu-jie & Zhang, Hao & Wang, Xing-yuan & Wang, Xiao-qing & Yan, Peng-fei, 2020. "2D Non-adjacent coupled map lattice with q and its applications in image encryption," Applied Mathematics and Computation, Elsevier, vol. 373(C).
    2. Zhou, Shuang & Wang, Xingyuan & Zhou, Wenjie & Zhang, Chuan, 2022. "Recognition of the scale-free interval for calculating the correlation dimension using machine learning from chaotic time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
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    5. Alghafis, Abdullah & Firdousi, Faiza & Khan, Majid & Batool, Syeda Iram & Amin, Muhammad, 2020. "An efficient image encryption scheme based on chaotic and Deoxyribonucleic acid sequencing," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 177(C), pages 441-466.
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    Citations

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    Cited by:

    1. Xiaoqiang Zhang & Mi Liu & Xiaochang Yang, 2023. "Color Image Encryption Algorithm Based on Cross-Spiral Transformation and Zone Diffusion," Mathematics, MDPI, vol. 11(14), pages 1-28, July.
    2. Bowen Zhang & Lingfeng Liu, 2023. "Chaos-Based Image Encryption: Review, Application, and Challenges," Mathematics, MDPI, vol. 11(11), pages 1-39, June.
    3. Shahna, K.U., 2023. "Novel chaos based cryptosystem using four-dimensional hyper chaotic map with efficient permutation and substitution techniques," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    4. Zhang, Tianxian & Zhao, Yongqi & Xu, Xiangliang & Wu, Si & Gu, Yujuan, 2024. "Solution and dynamics analysis of fractal-fractional multi-scroll Chen chaotic system based on Adomain decomposition method," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
    5. Zou, Chengye & Wang, Lin, 2023. "A visual DNA compilation of Rössler system and its application in color image encryption," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    6. Zou, Chengye & Li, Haifeng & Zhang, Xuncai & Liu, Yunong & Shang, Yubao & Zhou, Chuangjun, 2024. "Target localization image encryption of wind turbines based on DNA strand replacement rule," Chaos, Solitons & Fractals, Elsevier, vol. 183(C).
    7. Wu, Xin & Shi, Hang & Ji’e, Musha & Duan, Shukai & Wang, Lidan, 2023. "A novel image compression and encryption scheme based on conservative chaotic system and DNA method," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    8. Lai, Qiang & Hu, Genwen & Erkan, Uǧur & Toktas, Abdurrahim, 2023. "High-efficiency medical image encryption method based on 2D Logistic-Gaussian hyperchaotic map," Applied Mathematics and Computation, Elsevier, vol. 442(C).

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