MedTech Chain Demo

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 (TU Delft - Economics of Technology and Innovation, TU Delft - Blended Learning Development)

Roland Kromes (TU Delft - Web Information Systems)

Z. Erkin (TU Delft - Cyber Security)

Faculty
Electrical Engineering, Mathematics and Computer Science
DOI related publication
https://doi.org/10.1109/BRAINS63024.2024.10732467
More Info
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Publication Year
2024
Language
English
Faculty
Electrical Engineering, Mathematics and Computer Science
ISBN (electronic)
9798350367843
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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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