在边缘系统中,具有隐私保护视角的可互操作的IoMT远程诊断方法
Erana Veerappa Dinesh Subramaniam1, Kathiravan Srinivasan2, Saeed Mian Qaisar3,4
1Department of Computer Science and Business Systems, Ramco Institute of Technology, Rajapalayam 626117, India.
Sensors (Basel, Switzerland)
|September 9, 2023
概括
这项研究引入了隐私增强的医疗物联网 (IoMT) 方法,用于远程疾病诊断. 它优化了网络性能,并确保了数据安全,大大提高了患者护理和诊断能力.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 网络工程 网络工程
- 网络安全 网络安全
背景情况:
- 医疗物联网 (IoMT) 能够实现远程患者监控,但面临着传统AI的隐私挑战.
- 优化IoMT网络性能对于可靠的远程诊断和治疗至关重要.
研究的目的:
- 开发一个增强隐私的,可互操作的IoMT框架用于疾病诊断.
- 改善关键的物联网网络性能指标,包括吞吐量,能源消耗,延迟和网络寿命.
主要方法:
- 实施了设备身份验证,节能集群和环境监测 (C-HMM).
- 使用数据验证 (TCEV) 和加密 (Twine-LiteNet) 进行数据保密.
- 员工搜索和救援优化 (SRO) 用于路线选择和安全的云存储.
主要成果:
- 实现了20%的吞吐量增加和35%的网络寿命改善.
- 减少了15%的包掉率 (PDR) 和10%的能源消耗/延迟.
- 通过ns-3模拟,在网络互操作性和数据保护方面取得了实质性的改进.
结论:
- 拟议的增强隐私的IoMT方法显著提高了网络性能和安全性.
- 这一框架提高了互操作性,促进了更好的患者护理和诊断能力.
- 该研究验证了 IoMT 中综合安全和优化技术的有效性.
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