Security Performance of Internet of Medical Things

Taiwo Adenaiye; Waleed Bul’ajoul; Funminiyi Olajide

doi:doi:10.11648/j.net.20210901.11

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Security Performance of Internet of Medical Things

Taiwo Adenaiye, Waleed Bul’ajoul, Funminiyi Olajide

Published in Advances in Networks (Volume 9, Issue 1)

Received: 11 January 2021 Accepted: 18 January 2021 Published: 2 February 2021

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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.

Published in	Advances in Networks (Volume 9, Issue 1)
DOI	10.11648/j.net.20210901.11
Page(s)	1-18
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Internet of Medical Things, Man-in-the-Middle Attack, Bluetooth Wearable IoMT, Wearable Device Security, Security Assessment Framework

References

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[4]	Shokeen, R., Shanmugam, B., Kannoorpatti, K., Azam, S., Jonkman, M., and Alazab, M. (2019). Vulnerabilities Analysis and Security Assessment Framework for the Internet of Things. 2019 Cybersecurity and Cyberforensics Conference (CCC), 22-29.
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[8]	Yaseen, M., Iqbal, W., Rashid, I., Abbas, H., Mohsin, M., Saleem, K. and Bangash, Y. A., 2019. MARC: A Novel Framework for Detecting MITM Attacks in eHealthcare BLE Systems. Journal of Medical Systems, 43 (11), p. 324.
[9]	Melamed, T., 2018. An active man-in-the-middle attack on bluetooth smart devices. Safety and Security Studies (2018), 15.
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[14]	Zuo, C., Wen, H., Lin, Z. and Zhang, Y., 2019, November. Automatic Fingerprinting of Vulnerable BLE IoT Devices with Static UUIDs from Mobile Apps. In Proceedings of the 2019
[15]	Qu, Y. and Chan, P., 2016, April. Assessing vulnerabilities in Bluetooth low energy (BLE) wireless network based IoT systems. In 2016 IEEE 2nd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS) (pp. 42-48). IEEE.
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APA Style

Taiwo Adenaiye, Waleed Bul’ajoul, Funminiyi Olajide. (2021). Security Performance of Internet of Medical Things. Advances in Networks, 9(1), 1-18. https://doi.org/10.11648/j.net.20210901.11

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ACS Style

Taiwo Adenaiye; Waleed Bul’ajoul; Funminiyi Olajide. Security Performance of Internet of Medical Things. Adv. Netw. 2021, 9(1), 1-18. doi: 10.11648/j.net.20210901.11

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AMA Style

Taiwo Adenaiye, Waleed Bul’ajoul, Funminiyi Olajide. Security Performance of Internet of Medical Things. Adv Netw. 2021;9(1):1-18. doi: 10.11648/j.net.20210901.11

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@article{10.11648/j.net.20210901.11,
  author = {Taiwo Adenaiye and Waleed Bul’ajoul and Funminiyi Olajide},
  title = {Security Performance of Internet of Medical Things},
  journal = {Advances in Networks},
  volume = {9},
  number = {1},
  pages = {1-18},
  doi = {10.11648/j.net.20210901.11},
  url = {https://doi.org/10.11648/j.net.20210901.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.net.20210901.11},
  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.},
 year = {2021}
}

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TY - JOUR
T1 - Security Performance of Internet of Medical Things
AU - Taiwo Adenaiye
AU - Waleed Bul’ajoul
AU - Funminiyi Olajide
Y1 - 2021/02/02
PY - 2021
N1 - https://doi.org/10.11648/j.net.20210901.11
DO - 10.11648/j.net.20210901.11
T2 - Advances in Networks
JF - Advances in Networks
JO - Advances in Networks
SP - 1
EP - 18
PB - Science Publishing Group
SN - 2326-9782
UR - https://doi.org/10.11648/j.net.20210901.11
AB - 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.
VL - 9
IS - 1
ER -

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Author Information

Taiwo Adenaiye

School of Science and Technology, Nottingham Trent University, Nottingham, UK
Waleed Bul’ajoul

School of Science and Technology, Nottingham Trent University, Nottingham, UK
Funminiyi Olajide

School of Science and Technology, Nottingham Trent University, Nottingham, UK

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APA Style

Taiwo Adenaiye, Waleed Bul’ajoul, Funminiyi Olajide. (2021). Security Performance of Internet of Medical Things. Advances in Networks, 9(1), 1-18. https://doi.org/10.11648/j.net.20210901.11

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ACS Style

Taiwo Adenaiye; Waleed Bul’ajoul; Funminiyi Olajide. Security Performance of Internet of Medical Things. Adv. Netw. 2021, 9(1), 1-18. doi: 10.11648/j.net.20210901.11

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AMA Style

Taiwo Adenaiye, Waleed Bul’ajoul, Funminiyi Olajide. Security Performance of Internet of Medical Things. Adv Netw. 2021;9(1):1-18. doi: 10.11648/j.net.20210901.11

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@article{10.11648/j.net.20210901.11,
  author = {Taiwo Adenaiye and Waleed Bul’ajoul and Funminiyi Olajide},
  title = {Security Performance of Internet of Medical Things},
  journal = {Advances in Networks},
  volume = {9},
  number = {1},
  pages = {1-18},
  doi = {10.11648/j.net.20210901.11},
  url = {https://doi.org/10.11648/j.net.20210901.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.net.20210901.11},
  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.},
 year = {2021}
}

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