Demo: MedTech Chain 2.0 Integration of Homomorphic Encryption into a Decentralized Platform for Medical Device Data Research*

Conference Paper (2025)
Author(s)

Y. Pachedzhiev (Student TU Delft)

A. Durmaz (Student TU Delft)

E. Yarar (Student TU Delft)

I. Markov (Student TU Delft)

S. Önen (Student TU Delft)

R. Kromes (TU Delft - Research Engineering & Infrastructure Team)

Z. Erkin (TU Delft - Cyber Security)

Research Group
Research Engineering & Infrastructure Team
DOI related publication
https://doi.org/10.1109/BRAINS67003.2025.11302941
More Info
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Publication Year
2025
Language
English
Research Group
Research Engineering & Infrastructure Team
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Publisher
IEEE
ISBN (print)
979-8-3315-5983-0
ISBN (electronic)
979-8-3315-5982-3
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Hospitals produce vast amounts of medical device data, making their protection and analysis crucial in Cyber Threat Intelligence (CTI) settings. MedTech Chain 1.0 allowed cybersecurity researchers to run queries for data analytics. Even if the platform applied differential privacy, data storage was in plaintext and certain analysis capabilities were still missing. To address these limitations, we propose MedTech Chain 2.0, a platform that integrates homomorphic encryption, and enhanced mechanisms for encryption key management, and expanded query support. These improvements strengthen data protection while enabling deeper insights, advancing in cybersecurity and CTI research.

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File under embargo until 24-06-2026