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Applicable image cryptosystem using bit-level permutation, particle swarm optimisation, and quantum walks

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Abstract

Digital data plays a paramount part in various fields of life, in which multimedia data represent the majority of transferred digital data via communication networks. Consequently, cryptographers and researchers have paid attention to the security of multimedia. Chaotic models are utilised intensely with optimisation techniques for designing modern multimedia cryptosystems, but the role of optimisation approaches is to improve experimental outcomes rather than complex computations in designing cryptosystems. Amidst the rapid evolution of quantum resources, current multimedia cryptosystems may be cracked because their construction relies on mathematical paradigms. This paper introduces a robust image cryptosystem that leverages bit-level permutation, particle swarm optimization, the 3D logistic system, and quantum walk. In the presented cryptosystem, the probability distribution generated by quantum walk and the chaotic sequences produced by the 3D logistic function are utilized as inputs for a customized particle swarm optimization algorithm. The resulting keystreams are then employed in both the permutation phase (at the pixel and bit levels) and substitution phase of the image cryptosystem. Experimental results indicate that the suggested cryptosystem has high-security contra different raids such as differential, statistical, and occlusion attacks. The average outcome for local entropy, global entropy, NPCR (Number of Pixel Change Rate), UACI (Unified Average Changed Intensity), Chi-square, and encryption speed are measured at 7.9025, 7.99985, 99.61306%, 33.4657%, 256.960725, and 1.7081 megabits per second, respectively.

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Data Availability Statement

The data used in the study can be accessed upon your request to the corresponding author.

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Acknowledgements

Ahmed A. Abd El-Latif would like to thank Prince Sultan University for their support. Also, the authors gratefully acknowledge the unconditional support of their families.

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This research received no funding.

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Authors and Affiliations

  1. Department of Computer Science, Faculty of Computers and Information, Luxor University, Luxor, 85957, Egypt

    Bassem Abd-El-Atty

  2. EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia

    Ahmed A. Abd EL-Latif

  3. Department of Mathematics and Computer Science, Faculty of Science, Menoufia University, Shebin El-Koom, 32511, Egypt

    Ahmed A. Abd EL-Latif

Authors
  1. Bassem Abd-El-Atty
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  2. Ahmed A. Abd EL-Latif
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These authors contributed equally to this research.

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Correspondence to Bassem Abd-El-Atty.

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Abd-El-Atty, B., Abd EL-Latif, A.A. Applicable image cryptosystem using bit-level permutation, particle swarm optimisation, and quantum walks. Neural Comput & Applic 35, 18325–18341 (2023). https://doi.org/10.1007/s00521-023-08643-5

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