Artificial Intelligence & Data Analytics Lab (AIDA) CCIS Prince Sultan University Riyadh, 11586, Saudi Arabia.
Islamia College Peshawar, Peshawar, Pakistan.
J Infect Public Health. 2020 Oct;13(10):1567-1575. doi: 10.1016/j.jiph.2020.06.027. Epub 2020 Jul 15.
In various fields, the internet of things (IoT) gains a lot of popularity due to its autonomous sensors operations with the least cost. In medical and healthcare applications, the IoT devices develop an ecosystem to sense the medical conditions of the patients' such as blood pressure, oxygen level, heartbeat, temperature, etc. and take appropriate actions on an emergency basis. Using it, the healthcare-related data of patients is transmitted towards the remote users and medical centers for post-analysis. Different solutions have been proposed using Wireless Body Area Network (WBAN) to monitor the medical status of the patients based on low powered biosensor nodes, however, preventing increased energy consumption and communication costs are demanding and interesting problems. The issue of unbalanced energy consumption between biosensor nodes degrades the timely delivery of the patient's information to remote centers and gives a negative impact on the medical system. Moreover, the sensitive data of the patient is transmitting over the insecure Internet and prone to vulnerable security threats. Therefore, data privacy and integrity from malicious traffic are another challenging research issue for medical applications. This research article aims to a proposed secure and energy-efficient framework using Internet of Medical Things (IoMT) for e-healthcare (SEF-IoMT), which primary objective is to decrease the communication overhead and energy consumption between biosensors while transmitting the healthcare data on a convenient manner, and the other hand, it also secures the medical data of the patients against unauthentic and malicious nodes to improve the network privacy and integrity. The simulated results exhibit that the proposed framework improves the performance of medical systems for network throughput by 18%, packets loss rate by 44%, end-to-end delay by 26%, energy consumption by 29%, and link breaches by 48% than other states of the art solutions.
在各个领域,物联网 (IoT) 因其具有自主传感器操作和最低成本而受到广泛关注。在医疗和保健应用中,物联网设备开发了一个生态系统,用于感知患者的医疗状况,如血压、氧水平、心跳、体温等,并在紧急情况下采取适当的行动。通过使用它,患者的与健康相关的数据被传输到远程用户和医疗中心进行后续分析。已经提出了许多使用无线体域网 (WBAN) 的解决方案,基于低功耗生物传感器节点来监测患者的医疗状况,然而,防止增加的能量消耗和通信成本是一个具有挑战性的问题。生物传感器节点之间的能量消耗不平衡会降低患者信息及时传输到远程中心的效率,并对医疗系统产生负面影响。此外,患者的敏感数据是通过不安全的互联网传输的,容易受到脆弱的安全威胁。因此,数据隐私和完整性免受恶意流量的影响是医疗应用的另一个具有挑战性的研究问题。本研究旨在提出一种基于物联网医疗 (IoMT) 的用于电子医疗保健的安全节能框架 (SEF-IoMT),主要目标是在方便地传输医疗数据的同时,减少传感器之间的通信开销和能量消耗,另一方面,它还保护患者的医疗数据免受非授权和恶意节点的攻击,以提高网络隐私和完整性。模拟结果表明,与其他现有解决方案相比,所提出的框架将医疗系统的网络吞吐量提高了 18%,数据包丢失率降低了 44%,端到端延迟降低了 26%,能量消耗降低了 29%,链路中断率降低了 48%。