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Fast chaotic encryption scheme based on separable moments and parallel computing

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Abstract

In this paper, we propose three novel image encryption algorithms. Separable moments and parallel computing are combined in order to enhance the security aspect and time performance. The three proposed algorithms are based on TKM (Tchebichef-Krawtchouk moments), THM (Tchebichef-Hahn moments) and KHM (Krawtchouk-Hahn moments) respectively. A novel chaotic scheme is introduced, that enhances security by adding a layer of block permutation on top of the classical confusion/diffusion scheme, and reduces time cost through parallel computing. This approach offers improved security and faster performance compared to classical encryption schemes. The proposed algorithms are tested under several criteria and the experimental results show a remarkable resilience against all well-known attacks. Furthermore, the novel parallel encryption scheme exhibits a drastic improvement in the time performance. The proposed algorithms are compared to the state-of-the-art methods and they stand out as a promising choice for reliable use in real world applications.

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Acknowledgements

The authors thankfully acknowledge the Laboratory of Intelligent Systems and Applications (LSIA) for his support to achieve this work.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Authors and Affiliations

  1. Laboratory of Intelligent Systems and Application (LSIA), Faculty of Sciences and Technology, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Abdelhalim Kamrani, Khalid Zenkouar & Said Najah

  2. Ecole Nationale des Sciences Appliquees of Fez, University Sidi Mohamed Ben Abdellah, Fez, Morocco

    Hakim El Fadili

Authors
  1. Abdelhalim Kamrani
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  2. Khalid Zenkouar
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  3. Said Najah
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  4. Hakim El Fadili
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Correspondence to Abdelhalim Kamrani.

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Kamrani, A., Zenkouar, K., Najah, S. et al. Fast chaotic encryption scheme based on separable moments and parallel computing. Multimed Tools Appl 83, 38793–38817 (2024). https://doi.org/10.1007/s11042-023-17034-w

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  • DOI: https://doi.org/10.1007/s11042-023-17034-w

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