智能医疗保健系统使用集成和轻量级的ECC与私有区块链进行多媒体医疗数据处理
Hemant B Mahajan1, Aparna A Junnarkar2
1Godwit Technologies, Pune, India.
Multimedia tools and applications
|June 26, 2023
概括
这项研究介绍了一种安全的区块链系统,用于在医疗保健4.0.0中处理生物医学图像. 它使用轻量级加密来保护患者的隐私,并增强医学成像数据的安全性.
科学领域:
- 医疗信息学 医疗信息学
- 网络安全 网络安全
- 医疗成像医学成像
背景情况:
- 医疗保健4.0系统在安全处理医疗数据方面面临挑战,特别是敏感的生物医学图像.
- 在传输和存储多媒体医疗记录 (X射线,CT,MRI) 期间保护患者的隐私是一个重大问题.
研究的目的:
- 提出一个新的基于区块链的系统,用于在医疗保健4.0.0中安全的生物医学图像处理.
- 确保患者的匿名性和数据完整性,同时为医疗专业人员提供安全访问.
主要方法:
- 一个集成的架构,涉及边缘,雾和云层,并与区块链一起用于安全的数据存储.
- 使用圆曲线加密 (ECC) 实现轻量级加密,包括圆曲线Diffie-Hellman (ECDH) 和圆曲线数字签名算法 (ECDSA).
- 通过雾节点安全传输和存储多媒体数据到区块链辅助的云存储.
主要成果:
- 拟议的系统在加密和解密时间方面表现出更高的计算效率.
- 实验结果显示,处理图像的峰值与信号噪声比 (PSNR) 和平均平方误差 (MSE) 得到了改善.
- 该系统有效地保持了患者的匿名性,并确保了生物医学图像处理.
结论:
- 基于区块链的系统为医疗保健4.0中的生物医学图像处理提供了安全和高效的解决方案.
- 基于ECC的轻量级加密技术的使用有效地保护了患者的隐私和数据安全.
- 拟议的架构提高了医疗数据管理的可靠性和安全性.
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