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SAEF:开放式访问远程光电微观数据集的安全匿名化和加密框架.

Fangfang Zhu, Honghong Su, Ji Ding

    IEEE journal of biomedical and health informatics
    |March 18, 2025
    PubMed
    概括

    这项研究介绍了远程光电显微镜 (rPPG) 数据集的隐私框架,使其能够开放访问. 安全的匿名化和加密框架 (SAEF) 删除敏感的面部数据,对信号质量产生最小的影响,增强数据安全性和可用性.

    科学领域:

    • 生物医学工程 生物医学工程
    • 计算机科学 计算机科学
    • 数据 隐私 数据 隐私 数据

    背景情况:

    • 远程光电显微镜 (rPPG) 技术的进步对于非侵入性生理监测至关重要.
    • 目前的rPPG数据集面临着严重的隐私挑战,因为依赖于面部特征,限制了开放访问倡议.
    • 保护敏感的面部数据对于道德数据集的开发和广泛采用至关重要.

    研究的目的:

    • 为rPPG数据集建立隐私保护原则.
    • 为rPPG数据引入一个安全的匿名化和加密框架 (SAEF).
    • 允许创建志愿者友好的,开放式访问的rPPG数据集,而不会损害数据完整性.

    主要方法:

    • 开发了SAEF以识别和删除隐私敏感的面部区域,使用重要性和必要性分析.
    • 实施了不可逆转的面部区域移除过程,对rPPG信号质量的影响最小.
    • 为实时视频数据引入了一种高效级联密钥加密方法 (CKEM).

    主要成果:

    • 面部区域的去除对信号质量产生了微不足道的影响:R值偏差为BVP<0.06,MAE偏差为HR<0.05.
    • CKEM实现了快速加密 (5.54 × 10-5 秒/),超过了其他方法的三个数量级.

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  • 加密将近似点相关性 (APC) 值降至0.005以下,表明几乎完全的随机性和增强的安全性.

    • 结论:

    • 赛夫有效地平衡了隐私保护与rPPG数据完整性.
    • 该框架显著提高了实时视频加密性能和安全性.
    • SAEF促进安全,开放式访问的rPPG数据集的开发,促进技术进步.