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<p>The Internet of Medical Things (IoMT) demands secure and lightweight image encryption methods to protect sensitive medical data during transmission and storage. This paper proposes an efficient encryption scheme that combines a modified chaotic map with low-complexity confusion and diffusion operations. The method is evaluated using standard IoMT performance benchmarks. The proposed scheme achieves a high entropy of 7.9972 for encrypted medical images, low adjacent-pixel correlation values below 0.005, and strong differential attack resistance with NPCR of 99.63% and UACI of 33.48%. In addition, the algorithm requires only 18.4 ms for encrypting a <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(256 \times 256\)</EquationSource> </InlineEquation> image and consumes 9.2 MB of memory, making it suitable for resource-constrained IoMT devices. These results demonstrate that the proposed technique ensures robust security while maintaining computational efficiency.</p>

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An image encryption protocol using tropical semiring for internet of medical things

  • 期刊论文

  • 发表日期：

    2026年1月27日

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  • Jackson J,
  • Perumal R

摘要

The Internet of Medical Things (IoMT) demands secure and lightweight image encryption methods to protect sensitive medical data during transmission and storage. This paper proposes an efficient encryption scheme that combines a modified chaotic map with low-complexity confusion and diffusion operations. The method is evaluated using standard IoMT performance benchmarks. The proposed scheme achieves a high entropy of 7.9972 for encrypted medical images, low adjacent-pixel correlation values below 0.005, and strong differential attack resistance with NPCR of 99.63% and UACI of 33.48%. In addition, the algorithm requires only 18.4 ms for encrypting a \(256 \times 256\) image and consumes 9.2 MB of memory, making it suitable for resource-constrained IoMT devices. These results demonstrate that the proposed technique ensures robust security while maintaining computational efficiency.