一个基于模糊逻辑的安全层次路由方案,使用火虫算法在物联网医疗保健的物联网
Mehdi Hosseinzadeh1,2, Joon Yoo3, Saqib Ali4
1Institute of Research and Development, Duy Tan University, Da Nang, Vietnam.
Scientific reports
|July 8, 2023
概括
本研究介绍了物联网 (IoT) 医疗保健系统的安全路由方案,以提高网络寿命和能源效率. 使用火虫算法 (FSRF) 的基于模糊逻辑的安全层次路由方案提高了设备的寿命和储存的能量.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 网络安全 网络安全
背景情况:
- 物联网 (IoT) 具有显著的潜力,可以减轻人口老龄化和慢性疾病对医疗保健系统的压力.
- 保护物联网设备和确保高效的数据路由是医疗保健应用中的关键挑战.
研究的目的:
- 为基于物联网的医疗保健系统提供一种新的基于模糊逻辑的安全层次路由方案,使用火虫算法 (FSRF).
- 提高网络寿命,能源效率和数据传输速度,同时减轻安全威胁.
主要方法:
- 开发了一个由三个框架组成的系统:模糊的信任,基于火虫算法的集群和集群间路由.
- 实现了一个模糊逻辑信任模型来检测和防止路由攻击 (例如,黑洞,洪水).
- 利用火虫算法来根据信任,能量,跳跃数和中心性进行集群头部选择.
主要成果:
- 与EEMSR和E-BEENISH相比,FSRF的网络寿命有10.34%和56.35%的改善.
- 与EEMSR和E-BEENISH相比,节点储能效率提高了10.79%和28.51%.
- 与EEMSR相比,数据包交付率 (PDR) 略有下降,约为1.4%,FSRF显示安全性低于EEMSR.
结论:
- FSRF有效地提高了物联网医疗保健系统中的网络寿命和能源效率.
- 虽然FSRF显示出前景,但与EEMSR等现有协议相比,需要进一步的研究来增强其安全稳定性.
- 拟议的方案为关键医疗保健物联网应用中安全和高效的数据传输提供了一种可行的方法.
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