在云环境中设计一个多层隐私保护架构,用于安全的医疗数据交换
S Muthuvel1, S Priya2, K Sampath Kumar3
1AMET University, Chennai, Tamilnadu, India. muthuvelsphd@gmail.com.
Scientific reports
|February 27, 2026
概括
本研究介绍了云电子健康系统的统一安全框架,集成先进的加密和异常检测. 该框架增强了数据隐私和完整性,比现有解决方案提供了更好的性能.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 医疗信息学 医疗信息学
背景情况:
- 基于云的电子健康系统提供了可访问性,但面临着数据改和未经授权访问等安全威胁.
- 对于电子健康数据的现有安全解决方案往往孤立地解决威胁,从而导致分散的保护.
- 需要综合,以生命周期为导向的安全框架,以应对云电子健康的多方面的风险.
研究的目的:
- 为云电子健康系统提供统一的,以生命周期为导向的安全框架.
- 集成服务器辅助可撤销的基于属性的加密 (SR-ABE) 进行细粒度,可撤销的访问控制.
- 为了增强数据完整性,并在运行延迟时间内实现连续异常检测.
主要方法:
- 实现了服务器辅助可撤销的基于属性的加密 (SR-ABE),用于在不重新加密历史数据的情况下进行访问控制.
- 利用雾优化引导的密钥生成来增强加密安全性和随机性.
- 集成的SHA-256用于数据完整性验证和混合图形神经网络 (MGNN)用于异常检测.
主要成果:
- 实现了高训练 (99.1%) 和测试 (96.7%) 准确度,错误率低 (训练损失0.0126,测试损失0.0357).
- 通过低访问延迟 (6.6 ms),高吞吐量 (852-901 kbps) 和降低能耗 (0.214 J) 证明了卓越的性能.
- 报告了强大的安全指标,包括99.12%的数据机密性和98.53%的数据完整性.
结论:
- 综合框架有效地结合了SR-ABE,优化密钥生成,完整性检查和MGNN驱动的监控.
- 与现有的云电子健康安全计划相比,拟议的方法提供了增强的隐私保证和优越的运行时间性能.
- 这一统一的管道解决了云电子健康的关键安全挑战,确保数据保护和系统效率.
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