一种基于SHA-256和DNA编码的多重医学图像加密方法
Junfeng Wu1, Jialu Zhang1, Dong Liu1
1Department of Applied Mathematics, Xi'an University of Technology, Xi'an 710049, China.
Entropy (Basel, Switzerland)
|June 28, 2023
概括
本研究引入了一种用于多个医疗图像的新型轻量级加密方法,通过单次操作提供安全有效的数据保护. 这种方法确保了对噪音和数据丢失的隐私,这对于数字医疗成像安全至关重要.
科学领域:
- 医疗成像医学成像
- 网络安全 网络安全
- 数字健康数字健康
背景情况:
- 智能医疗技术的快速发展增加了数字医疗图像的数量,引发了对隐私和安全的担忧.
- 确保医疗图像中的敏感患者数据的机密性是网络医疗保健系统面临的关键挑战.
研究的目的:
- 开发一种轻量级,高效和安全的加密方法,用于不同尺寸的多个医疗图像.
- 解决与传统医疗图像加密相关的计算成本和安全漏洞.
主要方法:
- 一种新的填充和堆叠技术,从多个可变大小的医疗图像中创建一个统一的叠加图像.
- 使用SHA-256和线性一致算法生成一个安全的加密密钥序列.
- 使用生成的密钥序列和DNA编码对叠加图像进行加密.
主要成果:
- 拟议的方法可以加密/解密多个医疗图像,计算成本与单图像加密相当.
- 加密算法显示了高安全性和强度,可以防止噪音干扰和数据丢失.
- 一个安全的,独立的解密机制将信息泄露的风险降到最低.
结论:
- 开发的轻量级多图像加密方法为保护数字医疗图像提供了有效的解决方案.
- 该方法在数字医疗和大数据时代提供了一种实用和安全的方法来保护患者的隐私.
- 该算法对常见图像干扰的弹性提高了其在现实世界医疗场景中的适用性.
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