嵌入人工智能物联网的医疗保健优化与信任意识的移动边缘计算
Malak Alamri1, Khalid Haseeb2, Mamoona Humayun3
1Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, Al-Jouf, 72311, Saudi Arabia. mzalamri@ju.edu.sa.
Scientific reports
|December 15, 2025
概括
本研究介绍了Edge-Cloud可信智能 (ECTI) 用于安全的物联网 (IoT) 医疗监控. 该模型在分布式环境中增强了设备可靠性和数据隐私.
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:
- 物联网 (IoT) 和嵌入式系统自动化医疗监控.
- 边缘计算减少了响应时间,但面临着设备资源限制和安全威胁的挑战.
- 确保信任和安全对于可靠的基于物联网的医疗保健应用程序至关重要.
研究的目的:
- 提出一种新型模型,即边缘云可信智能 (ECTI),用于安全高效的物联网医疗监控.
- 为了减少资源有限的设备上的计算开销.
- 在分布式医疗环境中实施多层安全,以保护隐私.
主要方法:
- 开发了边缘云可信情报 (ECTI) 模型.
- 实施多层次的安全协议,以确保可信的通信.
- 利用了任务卸载策略,以在边缘有效利用资源.
- 启用了用于路由的轻量级协作决策.
主要成果:
- 与现有方案相比,ECTI模型在网络指标方面取得了显著的改进.
- 减少边缘设备上的计算开销.
- 在物联网医疗保健系统中提高了可靠性和隐私保护.
结论:
- ECTI模型为安全和高效的物联网医疗监控提供了一个强大的解决方案.
- 任务卸载和协作决策是优化边缘资源利用的关键.
- 多级安全对于在分布式环境中保护敏感患者数据至关重要.
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