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Computers 2017, 6(1), 11; doi:10.3390/computers6010011

Exploring a New Security Framework for Remote Patient Monitoring Devices

1
Department of Computer Science, College of Engineering, Design and Physical Sciences, Brunel University London, London UB8 3PH, UK
2
Department of Computer Science, School of Science and Technology, Middlesex University London, London NW4 4BT, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Paolo Bellavista
Received: 26 September 2016 / Revised: 3 February 2017 / Accepted: 17 February 2017 / Published: 24 February 2017
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Abstract

Security has been an issue of contention in healthcare. The lack of familiarity and poor implementation of security in healthcare leave the patients’ data vulnerable to attackers. The main issue is assessing how we can provide security in an RPM infrastructure. The findings in literature show there is little empirical evidence on proper implementation of security. Therefore, there is an urgent need in addressing cybersecurity issues in medical devices. Through the review of relevant literature in remote patient monitoring and use of a Microsoft threat modelling tool, we identify and explore current vulnerabilities and threats in IEEE 11073 standard devices to propose a new security framework for remote patient monitoring devices. Additionally, current RPM devices have a limitation on the number of people who can share a single device, therefore, we propose the use of NFC for identification in Remote Patient Monitoring (RPM) devices for multi-user environments where we have multiple people sharing a single device to reduce errors associated with incorrect user identification. We finally show how several techniques have been used to build the proposed framework. View Full-Text
Keywords: telehealth security; telemedicine security; remote patient monitoring security telehealth security; telemedicine security; remote patient monitoring security
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ondiege, B.; Clarke, M.; Mapp, G. Exploring a New Security Framework for Remote Patient Monitoring Devices. Computers 2017, 6, 11.

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