Security and privacy for the internet of medical things enabled healthcare systems: a survey
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Published version
Author(s)
Sun, Yingnan
Lo, Frank P-W
Lo, Benny
Type
Journal Article
Abstract
With the increasing demands on quality healthcare and the raising cost of care, pervasive healthcare is considered as a technological solutions to address the global health issues. In particular, the recent advances in Internet of Things have led to the development of Internet of Medical Things (IoMT). Although such low cost and pervasive sensing devices could potentially transform the current reactive care to preventative care, the security and privacy issues of such sensing system are often overlooked. As the medical devices capture and process very sensitive personal health data, the devices and their associated communications have to be very secured to protect the user's privacy. However, the miniaturized IoMT devices have very limited computation power and fairly limited security schemes can be implemented in such devices. In addition, with the widespread use of IoMT devices, managing and ensuring the security of IoMT systems are very challenging and which are the major issues hindering the adoption of IoMT for clinical applications. In this paper, the security and privacy challenges, requirements, threats, and future research directions in the domain of IoMT are reviewed providing a general overview of the state-of-the-art approaches.
Date Issued
2019-12-18
Date Acceptance
2019-12-13
Citation
IEEE Access, 2019, 7, pp.183339-183355
ISSN
2169-3536
Publisher
Institute of Electrical and Electronics Engineers
Start Page
183339
End Page
183355
Journal / Book Title
IEEE Access
Volume
7
Copyright Statement
© 2019 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/
License URL
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000509527200044&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Security
privacy
Internet of Medical Things
IoMT
mIoT
healthcare systems
survey
SENSOR NETWORKS
AUTHENTICATION
DEVICES
RECOGNITION
SCHEME
Publication Status
Published
Date Publish Online
2019-12-18