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<p>In the healthcare Internet of Things (IoT), escalating cyber attacks and the poor multi-modal data compatibility of existing schemes bring severe challenges to secure medical data transmission. To address these issues, this paper proposes an efficient and secure multi-modal medical data encryption scheme for healthcare IoT. First, we design a Fourier series-based <i>n</i>D chaotic system (<i>n</i>D-CFS) with configurable Lyapunov exponents, which achieves global chaos and full-dimensional attractors via parameter configuration; we select the 3D-CFS instance to balance security and efficiency. Second, we design a novel quaternary DNA encoding method with data fusion, which supports multi-modal data with high efficiency. For a 248 × 248 × 62 3D medical volume, the scheme achieves an NPCR of 99.61% and UACI of 33.47% within 68.1&#xa0;s encryption time. Extensive tests confirm that the scheme resists common attacks, and provides a practical privacy protection solution for healthcare IoT applications.</p>

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Fourier series-based nD chaotic system for multi-modal medical data encryption in IoT healthcare scenarios

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月7日

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  • Anni Xu,
  • Ruoyu Meng,
  • Yibo Zhao

摘要

In the healthcare Internet of Things (IoT), escalating cyber attacks and the poor multi-modal data compatibility of existing schemes bring severe challenges to secure medical data transmission. To address these issues, this paper proposes an efficient and secure multi-modal medical data encryption scheme for healthcare IoT. First, we design a Fourier series-based nD chaotic system (nD-CFS) with configurable Lyapunov exponents, which achieves global chaos and full-dimensional attractors via parameter configuration; we select the 3D-CFS instance to balance security and efficiency. Second, we design a novel quaternary DNA encoding method with data fusion, which supports multi-modal data with high efficiency. For a 248 × 248 × 62 3D medical volume, the scheme achieves an NPCR of 99.61% and UACI of 33.47% within 68.1 s encryption time. Extensive tests confirm that the scheme resists common attacks, and provides a practical privacy protection solution for healthcare IoT applications.