Demo - MedTech Chain

Decentralised, Secure and Privacy-preserving Platform for Medical Device Data Research

Conference Paper (2024)
Author(s)

Alin Petru-Rosu (Student TU Delft)

Tamara Tataru (Student TU Delft)

Jegor Zelenjak (Student TU Delft)

Roland Kromes (TU Delft - Research Engineering & Infrastructure Team)

Z. Erkin (TU Delft - Cyber Security)

Faculty
Electrical Engineering, Mathematics and Computer Science
DOI related publication
https://doi.org/10.1109/WIFS61860.2024.10810716
More Info
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Publication Year
2024
Language
English
Faculty
Electrical Engineering, Mathematics and Computer Science
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care 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
ISBN (electronic)
9798350364422
Reuse Rights

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Abstract

Employing blockchain and privacy-enhancing technologies, MedTech Chain promises an authenticated, decentralised, secure, and privacy-preserving environment for the real-time research and monitoring of medical device data. Through its querying functionalities, the platform can provide valuable insights for threat intelligence, medical research and hospital management. To our knowledge, the approach is among the first to employ ϵ-differential privacy in the context of medical device data. The current work details the framework’s functionality and demonstrates a negligible time overhead induced by ϵ-differential privacy to data analysis.

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