一个安全的医疗数据框架集成区块链和边缘计算:一个基于属性的符号加密方法
Tengyue Dou1, Zhiming Zheng2,3, Wangjie Qiu2,3
1The Second School of Clinical Medicine, Binzhou Medical University, Yantai 264003, China.
Sensors (Basel, Switzerland)
|May 14, 2025
概括
本研究介绍了一种新的基于属性的符号加密 (ABSC) 框架,使用区块链和边缘计算来安全管理医疗数据. 它增强了数据安全性,减少了开销,并提高了智能健康应用程序的访问效率.
科学领域:
- 医疗信息学 医疗信息学
- 网络安全 网络安全
- 分布式系统 分布式系统
背景情况:
- 医疗保健的数字化需要对患者数据采取强有力的安全和隐私措施.
- 现有的系统在有效和安全地管理敏感医疗信息方面面临挑战.
- 整合先进技术对于现代化医疗数据管理至关重要.
研究的目的:
- 为安全的医疗数据管理引入一种新的属性基础的符号加密 (ABSC) 框架.
- 利用区块链和边缘计算来提高数据安全性和效率.
- 确保对敏感健康信息进行精确的访问控制.
主要方法:
- 开发了一种新的属性基础的符号加密 (ABSC) 框架.
- 集成区块链和边缘计算技术用于数据处理和存储.
- 实现了基于属性的访问控制,用于数据检索.
主要成果:
- 拟议的ABSC框架显著提高了医疗数据的安全性和隐私.
- 与传统方法相比,已经证明了计算开销的减少.
- 在访问安全存储的医疗数据方面展示了更高的效率.
结论:
- ABSC框架为管理数字化医疗数据提供了一种高效和安全的解决方案.
- 区块链和边缘计算集成为健康数据提供了一个强大的平台.
- 基于属性的访问控制确保授权和精确的数据检索.
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