针对远程医疗应用程序的电子患者信息安全性的可逆数据隐藏
Adam Muhudin1, Osman Diriye Hussein2, Abdullahi Mohamud Osoble3
1Department of Computer Science, Faculty of Computing, SIMAD University, Mogadishu, Somalia. Adammuhudin@simad.edu.so.
这项研究引入了一种新的可逆数据隐藏在加密图像 (RDH-EI) 方案,用于安全的远程医疗. 该方法确保了诊断完整性和精确的图像恢复,改善了医疗图像共享的有效载荷扭曲权衡.
科学领域:
- 医疗成像医学成像
- 信息安全 信息安全
- 远程医疗远程医疗
背景情况:
- 医疗图像的安全传输对于远程医疗至关重要.
- 在数据传输过程中保持诊断完整性至关重要.
- 现有的方法可能会损害图像质量或可逆性.
研究的目的:
- 为远程医疗提出隐藏在加密图像中的可逆数据 (RDH-EI) 计划.
- 为了确保医疗图像的安全传输与准确的恢复.
- 为了改善加密医疗图像的有效载荷扭曲权衡.
主要方法:
- 开发了一种加密参数代 (GEP) 机制,用于区块智能的嵌入控制.
- 实施了两级最小显著位 (LSB) 战略,用于可分离的有效载荷提取和恢复.
- 使用AES-CTR加密,并使用独特的nonce来实现图像安全.
主要成果:
- 与基线相比,在直接解密的图像上获得更高的图像质量 (PSNR > 37 dB,SSIM > 0.96).
- 证明了比特精确的图像恢复 (PSNR = ∞).
- 确保了高的加密稳定性,NPCR (>99%) 和UACI (~33%).
结论:
- 拟议的GEP驱动的两级嵌入方案增强了有效载荷扭曲的权衡.
- 该方法提供了严格的可逆性和安全的医疗图像共享功能.
- 这种方法适用于需要高安全性和诊断完整性的远程医疗应用.
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