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<p>In recent years, the interest in advanced medical image processing software revolutionizes modern medicine. With the proliferation of data generated by cutting-edge healthcare equipment, including scanned medical images and computerized patient information, the imperative to secure this vast dataset for future use becomes paramount. Our cutting-edge cryptosystem employs a diverse and dynamic approach to secure image encryption. The use of random permutation matrices and logistic map-based key generation enhances the system’s strength, creating a varied and robust encryption key space. Spatial complexity is added through expansion of sine function for coordinate matrix generation. Additionally, mathematical intricacy is introduced via Laplace transformation and values retrieval, heightening overall security. Through a multi-cycle image encryption process that balances confusion and diffusion, our approach aligns seamlessly with the core goals of cryptography, providing an effective and efficient method for secure image encryption with a focus on confidentiality, integrity, and resistance against cryptographic attacks. The proposed work leverages a unique combination of chaotic maps, integral transform, and substitution permutation network to achieve stronger encryption performance. Multiple tests are conducted for evaluation of sensitivity of the encoding scheme to different key. Information entropy measurements and similarity are performed to show that the proposed work perform better than existing studies. Performance evaluations demonstrate that the encrypted images achieve an entropy value of 7.99, an NPCR of 99.62%, and a UACI of 33%, confirming robustness against statistical and differential attacks. The research output surpasses past accomplishments thus creating a new standard of excellence in cryptographic science.</p>

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Enhanced medical image security: a chaotic map and laplace transform-based encryption scheme

  • 期刊论文

  • 发表日期：

    2025年8月19日

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  • Saba Inam,
  • Shamsa Kanwal,
  • Fariha Nawaz,
  • Amal K. Alkhalifa

摘要

In recent years, the interest in advanced medical image processing software revolutionizes modern medicine. With the proliferation of data generated by cutting-edge healthcare equipment, including scanned medical images and computerized patient information, the imperative to secure this vast dataset for future use becomes paramount. Our cutting-edge cryptosystem employs a diverse and dynamic approach to secure image encryption. The use of random permutation matrices and logistic map-based key generation enhances the system’s strength, creating a varied and robust encryption key space. Spatial complexity is added through expansion of sine function for coordinate matrix generation. Additionally, mathematical intricacy is introduced via Laplace transformation and values retrieval, heightening overall security. Through a multi-cycle image encryption process that balances confusion and diffusion, our approach aligns seamlessly with the core goals of cryptography, providing an effective and efficient method for secure image encryption with a focus on confidentiality, integrity, and resistance against cryptographic attacks. The proposed work leverages a unique combination of chaotic maps, integral transform, and substitution permutation network to achieve stronger encryption performance. Multiple tests are conducted for evaluation of sensitivity of the encoding scheme to different key. Information entropy measurements and similarity are performed to show that the proposed work perform better than existing studies. Performance evaluations demonstrate that the encrypted images achieve an entropy value of 7.99, an NPCR of 99.62%, and a UACI of 33%, confirming robustness against statistical and differential attacks. The research output surpasses past accomplishments thus creating a new standard of excellence in cryptographic science.