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Advanced hybrid color image encryption utilizing novel chaotic neural network and 5D-hyperchaotic system

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Abstract

This paper introduces a new image encryption technique, leveraging the combined effects of a chaotic neural network and a 5D-Hyperchaotic system (HCS). The proposed method involves chaotic image matrix generation through the integration of the Ikeda map within an artificial neural network, followed by diffusion and confusion to enhance security. The 5D-HCS generates chaotic sequences using image data and a cryptographic key, which are then incorporated to produce a highly secure encrypted image. The proposed algorithm is rigorously validated through comprehensive testing like NIST suite evaluations, correlation analysis, key sensitivity assessment, and venerability to various attacks, yielding notable results such as an entropy value of 7.9992, an NPCR of 99.6, and an UACI of 33.463 for the encrypted Lena image. This study promises the method’s efficacy in safeguarding sensitive visual data and positions it as an avenue for future research in image encryption as an emerging technology.

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Author notes

  1. Jaya Mukhopadhyay, Arghya Pathak, Hrishikesh Mondal and Mrinal Kanti Mandal have contributed equally to this work.

Authors and Affiliations

  1. Department of Physics, Dr. B. C. Roy Engineering College, Jemua Road, Durgapur, West Bengal, 713206, India

    Subhashish Pal

  2. Department of Mathematics, Dr. B. C. Roy Engineering College, Jemua Road, Durgapur, West Bengal, 713206, India

    Jaya Mukhopadhyay

  3. Department of Physics, National Institute of Technology, Mahatma Gandhi Road, Durgapur, West Bengal, 713209, India

    Subhashish Pal, Arghya Pathak & Mrinal Kanti Mandal

  4. Department of Physics, Durgapur Government College, Jawaharlal Nehru Avenue, Durgapur, West Bengal, 713214, India

    Hrishikesh Mondal

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  1. Subhashish Pal
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  2. Jaya Mukhopadhyay
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  3. Arghya Pathak
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  4. Hrishikesh Mondal
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  5. Mrinal Kanti Mandal
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Contributions

SP: Conceptualization of problem, Python coding, Investigation, Writing of the paper. JM: Python coding and editing, Validation, Methodology, Investigation. AP and HM: Data analysis and creation of figures, paper editing. MKM: Conceptualization of problem, Investigation, Methodology, Supervision, Validation, Editing.

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Correspondence to Mrinal Kanti Mandal.

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Pal, S., Mukhopadhyay, J., Pathak, A. et al. Advanced hybrid color image encryption utilizing novel chaotic neural network and 5D-hyperchaotic system. Evol. Intel. 17, 3043–3059 (2024). https://doi.org/10.1007/s12065-024-00927-6

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  • DOI: https://doi.org/10.1007/s12065-024-00927-6

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