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.
| Original language | English |
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| Title of host publication | 2024 6th Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2024 |
| Editors | Nazih Salhab |
| Publisher | IEEE |
| Number of pages | 3 |
| ISBN (Electronic) | 9798350367843 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 6th Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2024 - Berlin, Germany Duration: 9 Oct 2024 → 11 Oct 2024 |
Publication series
| Name | 2024 6th Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2024 |
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Conference
| Conference | 6th Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2024 |
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| Country/Territory | Germany |
| City | Berlin |
| Period | 9/10/24 → 11/10/24 |
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-careOtherwise 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.
Keywords
- blockchain
- healthcare
- Hyperledger Fabric
- IoT
- networked medical devices
- privacy
- security
- ϵ-differential privacy