MAN-C:一种基于神经密码学的掩面自编码器,用于CT扫描图像的加密方案.
Kishore Kumar1, Sarvesh Tanwar1, Shishir Kumar2
1Amity Institute of Information Technology, Amity University, Noida, Uttar Pradesh, India.
MethodsX
|May 8, 2024
概括
我们介绍MAN-C,这是一个使用面具自动编码器和神经密码学的新型加密方案,用于安全的医疗图像共享. 这种方法增强了数据保密性和传输期间的图像恢复.
科学领域:
- 医疗成像医学成像
- 密码学 密码学 密码学
- 计算机视觉 计算机视觉
背景情况:
- 安全共享医疗图像对于患者数据保密至关重要.
- 现有的方法在传输期间保持图像完整性可能面临挑战.
研究的目的:
- 为安全的医疗图像共享提出MAN-C,一种基于神经密码学的掩盖自编码加密方案.
- 利用蒙面自动编码器和神经密码学来提高安全性和图像重建.
主要方法:
- 使用蒙面自动编码器,最初用于计算机视觉中的自我监督学习,作为加密解密机制.
- 将自动编码器与神经密码学集成,包括树平价机和Shamir计划,用于秘密图像共享.
- 使用来自癌症成像档案 (TCIA) 的CT扫描进行评估.
主要成果:
- 与现有技术相比,MAN-C方案显示了改善的根平均平方误差 (RMSE) 值.
- 在输入和输出图像之间实现了可比的相关值.
- 该方法有效地恢复了秘密共享期间噪音造成的图像损失.
结论:
- MAN-C提供了一种安全高效的医疗图像共享方法.
- 蒙面自动编码器和神经密码学的组合提供了一个强大的加密解决方案.
- 这种方法提高了机密性,同时保持了图像质量和完整性.
关键词:
自动编码器自动编码器希伯语学习 希伯语学习图像加密 图像加密MANC:一个蒙面的自编码器基于神经加密的加密方案,用于CT扫描图像.蒙面变压器是什么意思神经密码学 神经密码学分享秘密分享 秘密分享树平价机器 树平价机器更多相关视频
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