Scenario-based Vulnerability Analysis in IoT-based Patient Monitoring System

Neila Mekki, Mohamed Hamdi, Taoufik Aguili, Tai-Hoon Kim

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.

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Paper Citation


in Harvard Style

Mekki N., Hamdi M., Aguili T. and Kim T. (2017). Scenario-based Vulnerability Analysis in IoT-based Patient Monitoring System . In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017) ISBN 978-989-758-259-2, pages 554-559. DOI: 10.5220/0006473005540559


in Bibtex Style

@conference{secrypt17,
author={Neila Mekki and Mohamed Hamdi and Taoufik Aguili and Tai-Hoon Kim},
title={Scenario-based Vulnerability Analysis in IoT-based Patient Monitoring System},
booktitle={Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017)},
year={2017},
pages={554-559},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006473005540559},
isbn={978-989-758-259-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017)
TI - Scenario-based Vulnerability Analysis in IoT-based Patient Monitoring System
SN - 978-989-758-259-2
AU - Mekki N.
AU - Hamdi M.
AU - Aguili T.
AU - Kim T.
PY - 2017
SP - 554
EP - 559
DO - 10.5220/0006473005540559