使用完全同型加密 (AutoPro-RHC) 的安全远程医疗服务的自适应自主协议
Ruey-Kai Sheu1, Yuan-Cheng Lin2, Mayuresh Sunil Pardeshi3
1Department of Computer Science, Tunghai University, Taichung 407224, Taiwan.
Sensors (Basel, Switzerland)
|October 28, 2023
概括
本研究引入了一种使用完全同态加密 (FHE) 进行安全远程健康监测 (RHM) 的自适应性协议. 该系统确保了患者数据的保密性和适应性报告各种健康状况,改善了医疗保健的可访问性.
科学领域:
- 计算机科学 计算机科学
- 医疗保健技术 技术 医疗保健 技术
- 网络安全 网络安全
背景情况:
- 远程健康监控 (RHM) 改善了医疗保健的获取,但面临着安全挑战,危及患者数据隐私和HIPAA合规性.
- 确保敏感医疗数据的机密性至关重要,特别是随着数字健康记录和远程服务的日益使用.
研究的目的:
- 设计和实施一个适应性的自主协议 (AutoPro) 远程医疗 (RHC) 数据使用完全同型加密 (FHE).
- 在RHM数据上执行自适应的,自主的FHE计算,以确保安全的健康状况报告,同时保持患者保密.
- 开发一个分散的协议,在医院服务器之间独立运行,不依赖第三方.
主要方法:
- 这项研究使用了一个具有完全同型加密 (FHE) 的自适应自主协议 (AutoPro),对患者远程医疗 (RHC) 监控数据进行加密.
- 采用了一种基于快速完全同态加密的托鲁斯 (TFHE) 库的算法,并采用了环变体的Gentry,Sahai和Waters (GSW) 方案.
- 在心脏病数据集上训练了一种混凝土ML模型,用于数据归算的预处理,并在云基础设施 (AWS) 上进行评估.
主要成果:
- FHE协议实现了高精度,支持矢量分类 (SVC) 达到88%,线性回归 (LR) 达到86%.
- 曲线下面积 (AUC) 成绩达到SVC的91%,LR的90%,显示出强大的预测性能.
- 该协议在AWS云网络上成功实施和演示,在现实环境中验证了其性能.
结论:
- 开发的基于FHE的协议提供了一个新的,安全的远程健康监测系统,确保患者数据的保密性.
- 该协议的自适应性,基于患者病情的严重程度,增强了它在各种RHC场景中的适用性.
- 该系统提供了立即的紧急服务和机密的患者报告,提高了医疗保健效率和患者的信任.
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