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Evolutionary-based image encryption using Magic Square Chaotic algorithm and RNA codons truth table

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Abstract

Information security plays a key role in different areas such as Internet communications, medical imaging multimedia systems, and military communications. Image encryption is one of the techniques to ensure information security in communications. Therefore, this paper proposes a new hybrid model of a Magical Square Chaotic (MSC) algorithm and RNA codons for image encryption. The proposed model is composed of four steps. In the first phase, a secret key using the SHA-256 algorithm was considered for the initial value of the LS2 Map chaotic function. In the second phase, MSC algorithm was used for moving the image pixels. In the third phase, a combination of the RNA codons and chaotic function was employed for propagation of the image pixels. Finally, an optimization process was performed based on entropy criteria using genetic algorithm operators. The outputs of the simulation results confirm the superiority of the proposed model over other models. In addition, the analysis of the performance proves the high strength and security of the proposed model compared to the various types of attacks.

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Authors and Affiliations

  1. Department of Computer Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran

    Mahdi Tahbaz & Mohammad Reza Yamaghani

  2. Department of Computer Engineering, Jouybar Branch, Islamic Azad University, Jouybar, Iran

    Hossein Shirgahi

Authors
  1. Mahdi Tahbaz
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  2. Hossein Shirgahi
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  3. Mohammad Reza Yamaghani
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Correspondence to Hossein Shirgahi.

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Tahbaz, M., Shirgahi, H. & Yamaghani, M.R. Evolutionary-based image encryption using Magic Square Chaotic algorithm and RNA codons truth table. Multimed Tools Appl 83, 503–526 (2024). https://doi.org/10.1007/s11042-023-15677-3

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  • DOI: https://doi.org/10.1007/s11042-023-15677-3

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