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Multiple remote sensing image encryption scheme based on saliency extraction and magic cube circular motion

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Abstract

To improve the salient region security and transmission efficiency of remote sensing images, a multiple remote sensing image (MRSIs) encryption scheme based on saliency extraction and magic cube circular motion is proposed in this paper. The scheme provides two tiers of privacy protection for salient regions (airport locations) in remote sensing images. First, a 4D improved discrete tabu learning neuron (4D-IDTLN) chaotic system is proposed. The analysis of phase diagrams, the Lyapunov exponents (LEs) spectrum and bifurcation diagrams of the system show that the system exhibits rich dynamic behaviors. Second, the salient regions of remote sensing images are classified and extracted via knowledge-oriented saliency (KOS) and vision-oriented saliency (VOS) techniques to create a mask contour positioning model (MCPM) for the salient regions, which is then encrypted. Then, the MRSIs are fused into a cube, which is encrypted using magic cube circular motion and chaotic sequences and further encrypted using closed-loop diffusion. Finally, the security of the proposed encryption scheme is evaluated. The results indicate that the scheme provides higher security and better transmission efficiency for MRSIs.

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Nos.62061014); Technological innovation projects in the field of artificial intelligence in Liaoning province(Grant Nos. 2023JH26/10300011); Basic scientific research projects in department of education of Liaoning Province(Grant Nos. JYTZD2023021).

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Authors and Affiliations

  1. School of Information Science and Engineering, Dalian Polytechnic University, Dalian, 116034, China

    Chang Cai, Yinghong Cao & Jun Mou

  2. School of Information Science and Technology, Dalian University of Science and Technology, Dalian, 116052, China

    Yu Wang

  3. School of Management, Dalian Polytechnic University, Dalian, 116034, China

    Bo Sun

Authors
  1. Chang Cai
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  2. Yu Wang
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  3. Yinghong Cao
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  4. Bo Sun
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  5. Jun Mou
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Contributions

Chang Cai designed and carried out experiments, data analyzed and manuscript wrote. Yu Wang, and Yinghong Cao made the theoretical guidance for this paper. Bo Sun, and Jun Mou carried out experiment and improved the algorithm. All authors reviewed the manuscript.

Corresponding author

Correspondence to Jun Mou.

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Ethical and informed consent for data used

The test images used in this paper are from the SIPI image database and are used for scientifc research only, not for other purposes, and without copyright disputes.

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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Cai, C., Wang, Y., Cao, Y. et al. Multiple remote sensing image encryption scheme based on saliency extraction and magic cube circular motion. Appl Intell 54, 5944–5960 (2024). https://doi.org/10.1007/s10489-024-05447-5

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