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High-sensitivity image encryption algorithm with random cross diffusion based on dynamically random coupled map lattice model

Author

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  • Wang, Xingyuan
  • Yang, Jingjing
  • Guan, Nana

Abstract

This paper proposes a novel high-sensitivity image encryption algorithm with random cross diffusion based on dynamically random coupled map lattice model implemented by piecewise linear chaotic map (PDRCML). Through theoretical analysis and experimental results analysis, it can be demonstrated that the system has the larger parameter space and the state of each lattice is more effective compared with traditional coupled logistic map lattices (CML). The system is appropriate for chaotic encryption and secure communications. Moreover, the proposed image encryption algorithm combines S-box, fast disturbance handling and random cross diffusion to realize non-linear diffusion, which breaks traditional diffusion methods based on permutation. By analyzing simulation performance of encryption, it can be easily determined that the algorithm has a high degree of security, highly sensitive, good statistical performance. And it further demonstrates the excellent features of the PDRCML model.

Suggested Citation

  • Wang, Xingyuan & Yang, Jingjing & Guan, Nana, 2021. "High-sensitivity image encryption algorithm with random cross diffusion based on dynamically random coupled map lattice model," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    • Handle: RePEc:eee:chsofr:v:143:y:2021:i:c:s0960077920309735
    DOI: 10.1016/j.chaos.2020.110582
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    References listed on IDEAS

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    1. Khellat, Farhad & Ghaderi, Akashe & Vasegh, Nastaran, 2011. "Li–Yorke chaos and synchronous chaos in a globally nonlocal coupled map lattice," Chaos, Solitons & Fractals, Elsevier, vol. 44(11), pages 934-939.
    2. Mazloom, Sahar & Eftekhari-Moghadam, Amir Masud, 2009. "Color image encryption based on Coupled Nonlinear Chaotic Map," Chaos, Solitons & Fractals, Elsevier, vol. 42(3), pages 1745-1754.
    3. Nardo, Lucas G. & Nepomuceno, Erivelton G. & Arias-Garcia, Janier & Butusov, Denis N., 2019. "Image encryption using finite-precision error," Chaos, Solitons & Fractals, Elsevier, vol. 123(C), pages 69-78.
    4. Nepomuceno, Erivelton G. & Lima, Arthur M. & Arias-García, Janier & Perc, Matjaž & Repnik, Robert, 2019. "Minimal digital chaotic system," Chaos, Solitons & Fractals, Elsevier, vol. 120(C), pages 62-66.
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    Citations

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    Cited by:

    1. Yang, Xiaofang & Lu, Tianxiu & Waseem, Anwar, 2021. "Chaotic properties of a class of coupled mapping lattice induced by fuzzy mapping in non-autonomous discrete systems," Chaos, Solitons & Fractals, Elsevier, vol. 148(C).
    2. Bezerra, João Inácio Moreira & Machado, Gustavo & Molter, Alexandre & Soares, Rafael Iankowski & Camargo, Vinícius, 2023. "A novel simultaneous permutation–diffusion image encryption scheme based on a discrete space map," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    3. Liu, Xilin & Tong, Xiaojun & Wang, Zhu & Zhang, Miao, 2022. "A new n-dimensional conservative chaos based on Generalized Hamiltonian System and its’ applications in image encryption," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    4. Man, Zhenlong & Li, Jinqing & Di, Xiaoqiang & Sheng, Yaohui & Liu, Zefei, 2021. "Double image encryption algorithm based on neural network and chaos," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).

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