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Color multiple image encryption scheme based on 3D-chaotic maps

Author

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  • Malik, Dania Saleem
  • Shah, Tariq

Abstract

In many research areas, production of images is increasing with every day. These days, the prime focus of researchers is on the security of digital images. Motivated by gray multiple image encryption algorithms, this paper suggests a novel Chaos-based color multiple image encryption technique. A 3D histogram equalization method has been applied to equalize the chaotic sequences histograms of Lorenz system. Confusion/diffusion of image data has been implemented by using sequences generated by histogram equalized Lorenz and Rossler system. In confusion stage, the input image colored pixels have been scrambled. Then in diffusion stage, pixel replacement is done by scrambled images and sequences of Rossler system. The proposed scheme efficiency is validated via key sensitivity, key space, entropy, horizontal, vertical, diagonal correlation, UACI and NPCR tests. Furthermore, the overall security analysis and experimental results show that the proposed encryption technique has achieved confidentiality and have resistance against classical attacks.

Suggested Citation

  • Malik, Dania Saleem & Shah, Tariq, 2020. "Color multiple image encryption scheme based on 3D-chaotic maps," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 178(C), pages 646-666.
    • Handle: RePEc:eee:matcom:v:178:y:2020:i:c:p:646-666
    DOI: 10.1016/j.matcom.2020.07.007
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    Citations

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    Cited by:

    1. Zhu, Shenli & Deng, Xiaoheng & Zhang, Wendong & Zhu, Congxu, 2023. "Secure image encryption scheme based on a new robust chaotic map and strong S-box," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 207(C), pages 322-346.
    2. Wang, Xingyuan & Chen, Xuan, 2021. "An image encryption algorithm based on dynamic row scrambling and Zigzag transformation," Chaos, Solitons & Fractals, Elsevier, vol. 147(C).
    3. Liu, Lingfeng & Wang, Jie, 2023. "A cluster of 1D quadratic chaotic map and its applications in image encryption," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 204(C), pages 89-114.
    4. Zhang, Shijie & Liu, Lingfeng, 2021. "A novel image encryption algorithm based on SPWLCM and DNA coding," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 190(C), pages 723-744.
    5. Shenli Zhu & Xiaoheng Deng & Wendong Zhang & Congxu Zhu, 2023. "Image Encryption Scheme Based on Newly Designed Chaotic Map and Parallel DNA Coding," Mathematics, MDPI, vol. 11(1), pages 1-22, January.
    6. Wang, Xingyuan & Liu, Huipeng, 2022. "Cross-plane multi-image encryption using chaos and blurred pixels," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).

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