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Authors: Hervé Debar 1 ; Razvan Beuran 2 and Yasuo Tan 2

Affiliations: 1 SAMOVAR, Télécom SudParis, Institut Polytechnique de Paris, Palaiseau, France ; 2 School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, Japan

Keyword(s): Cybersecurity, Medical Internet of Things.

Abstract: Medical objects, small or large, increasingly rely on digital technologies to monitor patients or deliver care. They form a part of our digital critical infrastructure, that can be significantly impacted by cyberattacks. For example, the Wannacry ransomware shut down hospitals in Europe for hours, even days. This paper analyzes recent vulnerabilities that have affected medical objects, and present findings related to the characteristics of these vulnerabilities. It will then use these findings to propose ideas for improved cybersecurity in the medical IoT. One of the key findings of the paper is that it demonstrates the effect of regulations enacted worldwide in early 2017, requiring critical infrastructure operators and providers to proactively publish information about vulnerabilities.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Debar, H.; Beuran, R. and Tan, Y. (2020). A Quantitative Study of Vulnerabilities in the Internet of Medical Things. In Proceedings of the 6th International Conference on Information Systems Security and Privacy - ICISSP; ISBN 978-989-758-399-5; ISSN 2184-4356, SciTePress, pages 164-175. DOI: 10.5220/0009105801640175

@conference{icissp20,
author={Hervé Debar. and Razvan Beuran. and Yasuo Tan.},
title={A Quantitative Study of Vulnerabilities in the Internet of Medical Things},
booktitle={Proceedings of the 6th International Conference on Information Systems Security and Privacy - ICISSP},
year={2020},
pages={164-175},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009105801640175},
isbn={978-989-758-399-5},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Information Systems Security and Privacy - ICISSP
TI - A Quantitative Study of Vulnerabilities in the Internet of Medical Things
SN - 978-989-758-399-5
IS - 2184-4356
AU - Debar, H.
AU - Beuran, R.
AU - Tan, Y.
PY - 2020
SP - 164
EP - 175
DO - 10.5220/0009105801640175
PB - SciTePress