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Efficient Image Encryption Scheme Using Novel 1D Multiparametric Dynamical Tent Map and Parallel Computing

Author

Listed:
  • Achraf Daoui

    (National School of Applied Sciences, Sidi Mohamed Ben Abdellah-Fez University, Fez 30000, Morocco)

  • Mohamed Yamni

    (Dhar El Mahrez Faculty of Science, Sidi Mohamed Ben Abdellah-Fez University, Fez 30000, Morocco)

  • Samia Allaoua Chelloug

    (Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia)

  • Mudasir Ahmad Wani

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

  • Ahmed A. Abd El-Latif

    (EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia
    Department of Mathematics and Computer Science, Faculty of Science, Menoufia University, Shebin El Koom 32511, Egypt)

Abstract

In order to ensure reliable and secure image exchange, chaotic systems are often considered for their good performance in information security. In this work, we first propose an extended version of a chaotic tent map (TM)—the multiparametric 1D tent map (MTM). The latter contains six control parameters defined over an unlimited range. These parameters strongly influence the MTM output when they are slightly modified by ∓ 10 − 13 , which makes MTM stronger than the existing TM and other 1D chaotic maps in terms of security key space. Then, this paper proposes a simple, yet powerful method to make uniform the distribution of chaotic sequence values, making the latter suitable for use in cryptosystems. Next, a new image cryptosystem is introduced based on MTM and parallel computing. This computing mode is incorporated to boost the security level of our scheme and to speed up its runtime. Indeed, in only one running round, our encryption scheme generates a security key of space equal to 10 78 × n with n indicating the number of the available CPU cores. Therefore, the suggested scheme achieves a good trade-off between safety and efficiency. The results of the performed comparisons and numerical experiments indicate on the one hand that MTM exhibits good chaotic characteristics in comparison to its original version. On the other hand, the suggested cryptosystem demonstrates good strength against various kinds of attacks (brute force, statistical, classical, noise, differential, etc.). Furthermore, comparison with similar schemes indicate that the proposed scheme is competitive in terms of execution time and superior in terms of security level.

Suggested Citation

  • Achraf Daoui & Mohamed Yamni & Samia Allaoua Chelloug & Mudasir Ahmad Wani & Ahmed A. Abd El-Latif, 2023. "Efficient Image Encryption Scheme Using Novel 1D Multiparametric Dynamical Tent Map and Parallel Computing," Mathematics, MDPI, vol. 11(7), pages 1-29, March.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:7:p:1589-:d:1107036
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    References listed on IDEAS

    as
    1. Bassem Abd-El-Atty & Abdullah M. Iliyasu & Ahmed A. Abd El-Latif & Leo Y. Zhang, 2021. "A Multi-Image Cryptosystem Using Quantum Walks and Chebyshev Map," Complexity, Hindawi, vol. 2021, pages 1-16, October.
    2. Song, Wei & Fu, Chong & Zheng, Yu & Tie, Ming & Liu, Jun & Chen, Junxin, 2023. "A parallel image encryption algorithm using intra bitplane scrambling," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 204(C), pages 71-88.
    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. Song, Xian-Hua & Wang, Hui-Qiang & Venegas-Andraca, Salvador E. & Abd El-Latif, Ahmed A., 2020. "Quantum video encryption based on qubit-planes controlled-XOR operations and improved logistic map," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
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    Cited by:

    1. Achraf Daoui & Haokun Mao & Mohamed Yamni & Qiong Li & Osama Alfarraj & Ahmed A. Abd El-Latif, 2023. "Novel Integer Shmaliy Transform and New Multiparametric Piecewise Linear Chaotic Map for Joint Lossless Compression and Encryption of Medical Images in IoMTs," Mathematics, MDPI, vol. 11(16), pages 1-28, August.

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