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<p>Image encryption involves protecting image data from unauthorized access or tampering, which in turn ensures confidentiality, integrity, and privacy. It secures transmission and storage, upholds regulatory compliance, and safeguards against breaches, which is crucial across industries such as healthcare, surveillance, and intellectual property management. This paper proposes a novel sine of logistic and tangent chaotic (SLTC) map that offers a wider and continuous chaotic range with complex behaviour, and random distribution across the data range. The SLTC map evaluation proves that it has more positive Lyapunov exponents, more uniform distributed bifurcation diagram, and higher Shannon entropy than the existing traditional chaotic maps. The paper also proposes an image cryptosystem that uses the novel proposed SLTC map and Deoxyribonucleic acid (DNA) encoding rules. Initially, the proposed cryptosystem uses a secret key and DNA encoding rules to generate a DNA encoding sequence that is used to convert the given input image to a DNA encoded Image. Then, the pixels of the DNA encoded image are permutated with the help of novel proposed SLTC map. Finally, DNA based diffusion is performed, which takes the permutated image and SLTC map as input, to generate the cipher image. The evaluated metrics including entropy, correlation coefficient (CC), number of changing pixel rates (NPCR), and unified averaged changed intensity (UACI) reveal that the proposed encryption scheme provides enhanced security and confidentiality for digital image data.</p>

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A novel sine of logistic and tangent chaotic map and dna encoding based image encryption scheme

  • 期刊论文

  • 发表日期：

    2025年9月25日

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  • Mohit Dua,
  • Rahul Bhogal,
  • Shelza Dua

摘要

Image encryption involves protecting image data from unauthorized access or tampering, which in turn ensures confidentiality, integrity, and privacy. It secures transmission and storage, upholds regulatory compliance, and safeguards against breaches, which is crucial across industries such as healthcare, surveillance, and intellectual property management. This paper proposes a novel sine of logistic and tangent chaotic (SLTC) map that offers a wider and continuous chaotic range with complex behaviour, and random distribution across the data range. The SLTC map evaluation proves that it has more positive Lyapunov exponents, more uniform distributed bifurcation diagram, and higher Shannon entropy than the existing traditional chaotic maps. The paper also proposes an image cryptosystem that uses the novel proposed SLTC map and Deoxyribonucleic acid (DNA) encoding rules. Initially, the proposed cryptosystem uses a secret key and DNA encoding rules to generate a DNA encoding sequence that is used to convert the given input image to a DNA encoded Image. Then, the pixels of the DNA encoded image are permutated with the help of novel proposed SLTC map. Finally, DNA based diffusion is performed, which takes the permutated image and SLTC map as input, to generate the cipher image. The evaluated metrics including entropy, correlation coefficient (CC), number of changing pixel rates (NPCR), and unified averaged changed intensity (UACI) reveal that the proposed encryption scheme provides enhanced security and confidentiality for digital image data.