使用多式联动图像融合和双重水印进行安全的医疗数据管理
Harendra Singh1, Maroti Deshmukh2, Lalit Kumar Awasthi3
1Department of Computer Science and Engineering, National Institute of Technology Uttarakhand, Srinagar (Garhwal), Uttarakhand, 246174, India. harendra.singhphd2021@nituk.ac.in.
Scientific reports
|March 17, 2025
概括
本研究为数字医疗保健系统提供了一个安全的框架,保护医疗数据的机密性和完整性. 它使用先进的图像处理技术来进行强大的数据嵌入和安全传输.
科学领域:
- 医疗成像医学成像
- 信息安全 信息安全
- 数字健康数字健康
背景情况:
- 数字医疗保健系统在保护敏感医疗数据方面面临着关键的安全挑战.
- 人们越来越依赖远程医疗和电子健康记录,因此需要采取强有力的数据保护措施.
研究的目的:
- 引入数字医疗保健系统的安全框架.
- 通过先进的嵌入和加密技术,确保医疗数据的机密性和完整性.
主要方法:
- 拉普拉斯重新分解用于将MRI和SPECT/PET图像融合到主体图像中.
- 嵌入 Aadhaar 卡的图像和哈希值,使用提升波量变换,赫森伯格分解和单数值分解.
- 使用伪魔法立方体技术进行哈希隐藏,并使用加密方案进行安全传输.
主要成果:
- 高性能指标:PSNR最高可达37.7895dB,SSIM最高可达0.9993,NC最高可达0.9998.
- 证明了对各种图像处理攻击的弹性,确保数据完整性.
- 成功嵌入和安全传输水印医疗图像.
结论:
- 拟议的框架为保护数字医疗保健系统中的医疗数据提供了可靠的解决方案.
- 有效地解决敏感患者信息的机密性和完整性的安全要求.
- 为安全的远程医疗和电子健康记录系统提供基础.
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