Security Performance of Internet of Medical Things

Taiwo Adenaiye, W. Bul’ajoul, F. Olajide
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Abstract

Internet of Medical Things is the internet connection of medical devices to perform services and processes to support the healthcare sector. Wearable Technology in Healthcare has seen tremendous growth in recent times. This is due to a global increase in the aging population, the need for disease management, and effective patient monitoring. The prevalent technology of wearable devices is Bluetooth technology due to its low cost, low energy, and size. Despite the growth recorded in the adoption of Bluetooth Wearable IoMT, there are concerns by users and other healthcare stakeholders about security and privacy issues with its adoption. Our paper presents a simulation of passive and active attacks on 3 wearable IoMT devices, followed by analysis and evaluation of the experiment outcomes. Thereafter, countermeasures for the identified weaknesses were provided. It was discovered that some of the standard security features of Bluetooth Technology to mitigate privacy and security issues were not implemented in some of the devices, which can result in data compromise in the devices. A security assessment framework was developed to assess the security of Bluetooth IoMT devices using the Bayesian Network model. This is used to rank devices, identify their vulnerabilities, and apply security measures on the identified vulnerabilities. Our paper further provides recommendations on improving the security of Bluetooth IoMT devices.
医疗物联网安全性能研究
医疗物联网是医疗设备的互联网连接,用于执行服务和流程,以支持医疗保健部门。近年来,医疗保健领域的可穿戴技术取得了巨大的发展。这是由于全球人口老龄化的增加、疾病管理的需要以及有效的患者监测。可穿戴设备的主流技术是蓝牙技术,因为它成本低、能耗低、体积小。尽管采用蓝牙可穿戴IoMT的记录有所增长,但用户和其他医疗保健利益相关者仍担心其采用的安全性和隐私问题。本文对3种可穿戴IoMT设备进行了被动攻击和主动攻击的仿真,并对实验结果进行了分析和评估。此后,提出了针对已查明的弱点的对策。我们发现,蓝牙技术的一些标准安全功能在某些设备中没有实现,以减轻隐私和安全问题,这可能导致设备中的数据泄露。利用贝叶斯网络模型开发了一个安全评估框架来评估蓝牙IoMT设备的安全性。通过对设备进行排名,识别设备的漏洞,并针对漏洞实施安全措施。本文进一步提出了提高蓝牙IoMT设备安全性的建议。
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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