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A Survey on security threats and countermeasures in Internet of Medical Things (IoMT)

A Survey on security threats and countermeasures in Internet of Medical Things (IoMT)

Papaioannou, Maria, Karageorgou, Marine, Mantas, Georgios ORCID: 0000-0002-8074-0417, Sucasas, Victor, Essop, Ismael ORCID: 0000-0002-5583-0306, Rodriguez, Jonathan and Lymberopoulos, Dimitrios (2020) A Survey on security threats and countermeasures in Internet of Medical Things (IoMT). Transactions on Emerging Telecommunications Technologies:e4049. ISSN 2161-3915 (doi:https://doi.org/10.1002/ett.4049)

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Abstract

Internet of medical things (IoMT) is an emerging technology aiming to improve the patient's quality of life by enabling personalized e‐health services without limitations on time and location. Nevertheless, IoMT devices (eg, medical sensors) that constitute the key underlying elements of the IoMT edge network are vulnerable to various types of security threats and thus, they pose a significant risk to patient's privacy and safety. Based on that and the fact that the security is a critical factor for the successful integration of IoMT technology into pervasive healthcare systems, there is an urgent need for novel security mechanisms to preserve the security of the IoMT edge network. Toward this direction, the first step is the comprehensive understanding of existing and potential threats to the IoMT edge network environment. Thus, in this article, we provide a categorization of security threats to the edge network environment based on the major security objectives that they target. Moreover, we present a categorization of security countermeasures, derived from the literature, against threats to IoMT edge networks. The authors' intent is to provide a foundation for organizing research efforts toward the development of proper security countermeasures for protecting IoMT edge networks against internal and external threats.

Item Type: Article
Uncontrolled Keywords: security threats; internet of medical things; edge networks
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Engineering & Science
Related URLs:
Last Modified: 13 Aug 2021 11:01
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/31645

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