A Blueprint for a Trustworthy Health Data Platform Encompassing IoT and Blockchain Technologies

10 pages•Published: March 1, 2021

Dennis Przytarski, Christoph Stach, Clémentine Gritti and Bernhard Mitschang

Abstract

eHealth provides great relief for patients and physicians. This means, patients au- tonomously monitor their condition via IoT medical devices and make these data available to physicians for analyses. This requires a data platform that takes care of data acquisition, management, and provisioning. As health data are highly sensitive, there are major concerns regarding data security with respect to confidentiality, integrity, and authenticity. To this end, we present a blueprint for constructing a trustworthy health data platform called SEAL. It provides a lightweight attribute-based authentication mechanism for IoT devices to validate all involved data sources, there is a fine-grained data provisioning system to enable data provision according to actual requirements, and a verification procedure ensures that data cannot be manipulated.

Keyphrases: authenticity, confidentiality, health data platform, integrity

In: Alex Redei, Rui Wu and Frederick Harris (editors). SEDE 2020. 29th International Conference on Software Engineering and Data Engineering, vol 76, pages 56-65.

Links:	https://easychair.org/publications/paper/S5w2
	https://doi.org/10.29007/1sbn

BibTeX entry

@inproceedings{SEDE2020:Blueprint_Trustworthy_Health_Data,
  author    = {Dennis Przytarski and Christoph Stach and Clémentine Gritti and Bernhard Mitschang},
  title     = {A Blueprint for a Trustworthy Health Data Platform Encompassing IoT and Blockchain Technologies},
  booktitle = {SEDE 2020. 29th International Conference on Software Engineering and Data Engineering},
  editor    = {Alex Redei and Rui Wu and Frederick Harris},
  series    = {EPiC Series in Computing},
  volume    = {76},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/S5w2},
  doi       = {10.29007/1sbn},
  pages     = {56-65},
  year      = {2021}}

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