一个基于智能合约和区块链环境中的风险的医疗大数据访问控制模型
Xuetao Pu1,2, Rong Jiang2,3, Zhiming Song2,3
1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China.
Frontiers in public health
|April 12, 2024
概括
本研究引入了一种新的智能合约和基于风险的访问控制 (SCR-BAC) 模型,以提高医疗大数据的安全性. 通过利用区块链技术进行强大的访问控制,SCR-BAC模型有效地减轻了内部滥用和隐私泄露.
科学领域:
- 医疗信息学 医疗信息学
- 区块链技术 区块链技术
- 网络安全 网络安全
背景情况:
- 医院信息系统 (HIS) 促进医学研究,但面临内部数据滥用和隐私侵犯的挑战.
- 传统的访问控制方法对于医疗大数据的动态和敏感性质是不够的.
研究的目的:
- 提出一种新的智能合约和基于风险的访问控制 (SCR-BAC) 模型,以确保医疗大数据的安全.
- 解决HIS环境中传统访问控制的局限性.
主要方法:
- 集成智能合约与基于风险的访问控制,在区块链上部署政策.
- 将风险分类为历史和当前风险,使用时间衰变和用户行为量化历史风险.
- 为医生开发了实时复合风险值,以动态执行访问控制.
主要成果:
- 该SCR-BAC模型有效地制了恶意行为者的访问.
- 模拟实验证实了该模型能够限制医疗大数据的内部滥用和隐私泄露的能力.
- 利用区块链的分布性来克服访问控制中的单点故障.
结论:
- 拟议的SCR-BAC模型为保护敏感医疗大数据提供了一个强大的解决方案.
- 在区块链上实施智能合约可以提高医疗保健系统中访问控制的安全性和可靠性.
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