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<p>Medical images (MI) contain both diagnostic information and sensitive personal data and they are usually exchanged between doctors, patients, hospitals and public networks. Therefore, it is essential to ensure safety during storage and transportation to protect the privacy of a patient. However, conventional cryptographic techniques are not effective for handling the unique characteristics of digital images like substantial pixel redundancy, high correlation, and sizable dimensions to provide proper security. Hence, the development of specialized image encryption algorithms becomes apparent as existing techniques are not reliable solutions. This issue prompted the enhancement of numerous low computational complexity approaches for encrypting MI. This paper introduces a Crayfish Optimization algorithm-based hybrid Seven-dimensional hyperchaotic image encryption technique for MI encryption and decryption. The image encryption integrates the 7D hyperchaotic maps, cellular automata, and bidirectional sequence diffusion techniques. The proposed encryption process involves data collection of DICOM images from MRI, X-ray, and CT scan datasets. In the encryption phase, chaotic scenes are generated using parameters optimized by the crayfish optimization algorithm, followed by confusion and diffusion phases. The decryption phase reverses these operations to restore the original image. Experimental results demonstrate this technique is effective in decryption and encryption performance as well as analysis of security such as correlation, information entropy, histogram, key space, differential attack, clipping and noise attacks, local information entropy speed analysis, and key sensitivity. The proposed method is safe and effective in protecting MI data.</p>

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Crayfish optimization-based secure encryption of medical images with 7D hyperchaotic maps

  • 期刊论文

  • 发表日期：

    2025年5月26日

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  • Pauline Freeda David,
  • Suganya Devi Kothandapani,
  • Ganesh Kumar Pugalendhi

摘要

Medical images (MI) contain both diagnostic information and sensitive personal data and they are usually exchanged between doctors, patients, hospitals and public networks. Therefore, it is essential to ensure safety during storage and transportation to protect the privacy of a patient. However, conventional cryptographic techniques are not effective for handling the unique characteristics of digital images like substantial pixel redundancy, high correlation, and sizable dimensions to provide proper security. Hence, the development of specialized image encryption algorithms becomes apparent as existing techniques are not reliable solutions. This issue prompted the enhancement of numerous low computational complexity approaches for encrypting MI. This paper introduces a Crayfish Optimization algorithm-based hybrid Seven-dimensional hyperchaotic image encryption technique for MI encryption and decryption. The image encryption integrates the 7D hyperchaotic maps, cellular automata, and bidirectional sequence diffusion techniques. The proposed encryption process involves data collection of DICOM images from MRI, X-ray, and CT scan datasets. In the encryption phase, chaotic scenes are generated using parameters optimized by the crayfish optimization algorithm, followed by confusion and diffusion phases. The decryption phase reverses these operations to restore the original image. Experimental results demonstrate this technique is effective in decryption and encryption performance as well as analysis of security such as correlation, information entropy, histogram, key space, differential attack, clipping and noise attacks, local information entropy speed analysis, and key sensitivity. The proposed method is safe and effective in protecting MI data.