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Scenario-based vulnerability analysis in IoT-based patient monitoring system

Citation

Mekki, N and Hamdi, M and Aguili, T and Kim, T-H, Scenario-based vulnerability analysis in IoT-based patient monitoring system, Proceedings from the 14th International Joint Conference on e-Business and Telecommunications, 24 July 2017, Madrid, Spain, pp. 554-559. ISBN 9789897582592 (2017) [Refereed Conference Paper]


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Copyright Statement

Copyright 2017 SCITEPRESS Science and Technology Publications

DOI: doi:10.5220/0006473005540559

Abstract

The Internet of Things (IoT) is one of the revolutionary technologies for healthcare. However, this flourishing still faces too many challenges including security and privacy preservation information. To address these problems, our contribution is to present a scenario of diabetes disease assume a matching between the situation of the patient and the relevant data from monitoring point view. This scenario describes how a patient can collect enormous of vital sign and activity. Wireless Body Sensor Networks (WBSN) is one of the IoT building blocks in which a patient can be monitored using a collection of sensor nodes to improve the patients quality of life. This technology in healthcare applications should not ignore security requirements. The aim of this paper is, (1) to design a healthcare architecture for a patient monitoring system, and (2) to explore the major security requirements in WBSN.

Item Details

Item Type:Refereed Conference Paper
Keywords:healthcare, security requirements, internet of things, scenario
Research Division:Information and Computing Sciences
Research Group:Distributed Computing
Research Field:Networking and Communications
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Information Processing Services (incl. Data Entry and Capture)
UTAS Author:Kim, T-H (Dr Tai Kim)
ID Code:125252
Year Published:2017
Deposited By:Information and Communication Technology
Deposited On:2018-04-10
Last Modified:2018-07-31
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