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An image encryption approach using tuned Henon chaotic map and evolutionary algorithm

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Abstract

A new evolutionary-based image encryption method is proposed to protect the image content against adversary attacks from an insecure network throughout the Internet. Two-dimensional Henon chaotic map is the significant part of the encryption process, whereas its performance strongly depends on the fine tuning of its parameters, including α and β. Imperialist Competitive Algorithm (ICA) is applied to determine these parameters based on the input simple image, so that the pseudorandom number generated by the two-dimensional Henon map would be unique for each simple image, making it difficult to explore the encryption process. Experimental results assert that the proposed method is secure enough to resist against common attacks.

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Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Authors and Affiliations

  1. Department of Electrical Engineering, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil

    Babak Rezaei

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

    Hasan Ghanbari

  3. Department of Computer Engineering, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran

    Rasul Enayatifar

Authors
  1. Babak Rezaei
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  2. Hasan Ghanbari
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  3. Rasul Enayatifar
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Babak Rezaei, Hasan Ghanbari and Rasul Enayatifar. The first draft of the manuscript was written by Babak Rezaei and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Rasul Enayatifar.

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Rezaei, B., Ghanbari, H. & Enayatifar, R. An image encryption approach using tuned Henon chaotic map and evolutionary algorithm. Nonlinear Dyn 111, 9629–9647 (2023). https://doi.org/10.1007/s11071-023-08331-y

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  • DOI: https://doi.org/10.1007/s11071-023-08331-y

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