Software‐defined networks‐enabled fog computing for IoT‐based healthcare: Security, challenges and opportunities

IF 2.1 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Security and Privacy Pub Date : 2022-12-16 DOI:10.1002/spy2.291
Malaram Kumhar, Jitendra Bhatia
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引用次数: 2

Abstract

The Internet of Things (IoT) is a crucial technology in the healthcare industry thanks to recent developments in automated data collection. Current statistics of the healthcare sector show that it is expanding at a remarkable rate. However, the performance of the healthcare system is impacted by many challenges, such as security, privacy, latency, scalability, and heterogeneity that come with advancement. Fog computing and software‐defined networks (SDN) are critical enabling technologies that help to improve IoT‐based healthcare systems by ensuring timely and reliable data provisioning for use in healthcare applications. SDN solves interoperability, device management, and network management issues and automates patient health monitoring without human interaction. SDN and fog computing in IoT‐based healthcare can optimize device communication and computing power at a low cost. SDN‐enabled fog computing has lower latency and better security than cloud‐based IoT healthcare architecture. The researchers have not entirely discovered SDN‐enabled fog computing to the best of our knowledge. This paper covers healthcare IoT technicalities and related technologies. We examined ways to merge SDN, fog computing, and IoT to improve healthcare solutions. Finally, we concluded the paper with research issues and future healthcare system improvements.
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基于物联网的医疗保健的软件定义网络支持雾计算:安全、挑战和机遇
由于自动化数据收集的最新发展,物联网(IoT)是医疗保健行业的一项关键技术。医疗保健部门目前的统计数据显示,它正在以惊人的速度扩张。然而,医疗保健系统的性能受到许多挑战的影响,如安全性、隐私性、延迟、可扩展性和先进性带来的异构性。雾计算和软件定义网络(SDN)是关键的使能技术,通过确保医疗保健应用中使用的及时可靠的数据供应,有助于改进基于物联网的医疗保健系统。SDN解决了互操作性、设备管理和网络管理问题,并在无人机交互的情况下自动化了患者健康监测。基于物联网的医疗保健中的SDN和雾计算可以以低成本优化设备通信和计算能力。与基于云的物联网医疗架构相比,支持SDN的雾计算具有更低的延迟和更好的安全性。据我们所知,研究人员尚未完全发现支持SDN的雾计算。本文涵盖了医疗物联网技术和相关技术。我们研究了合并SDN、雾计算和物联网以改进医疗保健解决方案的方法。最后,我们总结了本文的研究问题和未来医疗体系的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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