对比基于属性的加密方案,以确保医疗保健系统的安全
Redwan Walid1, Karuna Pande Joshi2, Seung Geol Choi3
1Department of Information Systems, University of Maryland, Baltimore County, MD, 21250, USA. rwalid1@umbc.edu.
Scientific reports
|March 27, 2024
概括
基于属性的加密 (ABE) 技术对于在云环境中保护电子健康记录 (EHR) 至关重要. 本研究全面评估了EHR系统的CP-ABE,KP-ABE和MA-ABE,帮助制定最佳的部署策略.
科学领域:
- 医疗信息学 医疗信息学
- 网络安全 网络安全
- 数据 隐私 数据 隐私 数据
背景情况:
- 电子健康的采用需要对敏感的患者数据进行安全的云存储.
- 基于属性的加密 (ABE) 和基于属性的访问控制 (ABAC) 是数据隐私和访问管理的关键.
- 现有的电子健康记录 (EHR) 系统使用各种ABE方案 (CP-ABE,KP-ABE,MA-ABE),但缺乏比较分析.
研究的目的:
- 在医疗保健系统中对流行的ABE技术进行全面的审查和评估.
- 评估ABE在不断发展的医疗技术中的可用性和部署前景.
- 为医疗机构和研究人员提供关于ABE实施的指导.
主要方法:
- 开发了EHR系统,使用具有相同数据但具有不同的ABE加密机制的知识图.
- 评估了三种流行的ABE技术:密码文本政策ABE (CP-ABE),关键政策ABE (KP-ABE) 和多权威ABE (MA-ABE).
- 用MIMIC-III数据集进行实证测试,记录大小不同.
主要成果:
- 在EHR系统中对CP-ABE,KP-ABE和MA-ABE性能进行全面评估.
- 基于数据大小和系统要求,分析ABE计划的有效性.
- 在医疗保健中确定不同ABE技术的最佳使用场景.
结论:
- 该研究提供了关于ABE在安全EHR系统中的实际应用的关键见解.
- 这些发现将有助于医疗机构选择和部署适当的ABE解决方案.
- 这项研究有助于通过知情地实施ABE来推进安全的电子健康基础设施.
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