Trust modeling for blockchain-based wearable data market

Mohammad Jabed Morshed Chowdhury, Md Sadek Ferdous, Kamanashis Biswas, Niaz Chowdhury, A. S. M. Kayes, Paul Watters, Alex Ng

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)

Abstract

Wearable devices continuously produce physiological data that can provide individuals critical information about their daily routine or fitness level in combination with their smartphones without requiring manual calculations or maintaining log-books. Real-time participant-generated data can enable large scale observational studies of health conditions, provide better insights into medical conditions of individuals and streamline clinical trial processes in medical research. However, privacy is a major concern for health data and there can be a lack of trust among different parties in the health data collection process. In addition, individuals often do not have sufficient control over the sharing of their data from the wearable devices. The lack of control, trust and privacy are key barriers to research participants being prepared to share their personal data from wearable devices. In this work, we propose a trust model to overcome the trust deficit among different parties. Then, we present a reference system architecture, rooted on the developed trust model, that provides incentive for individuals to securely share their health data through a data marketplace. By encouraging individuals to share their real-time health data, researchers will have access to large data sets at low cost.

Original languageEnglish
Title of host publicationProceedings - 11th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2019), 19th IEEE International Conference on Computer and Information Technology (CIT 2019), 2019 International Workshop on Resource Brokering with Blockchain (RBchain 2019) and 2019 Asia-Pacific Services Computing Conference (APSCC 2019)
EditorsJinjun Chen, Laurence T. Yang
Place of PublicationPiscataway, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages411-417
Number of pages7
ISBN (Electronic)9781728150116
DOIs
Publication statusPublished - Dec 2019
Externally publishedYes
Event11th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2019, 19th IEEE International Conference on Computer and Information Technology, CIT 2019, 2019 International Workshop on Resource Brokering with Blockchain, RBchain 2019 and 2019 Asia-Pacific Services Computing Conference, APSCC 2019 - Sydney, Australia
Duration: 11 Dec 201913 Dec 2019

Publication series

NameInternational Conference on Cloud Computing Technology and Science
PublisherIEEE
ISSN (Print)2330-2194

Conference

Conference11th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2019, 19th IEEE International Conference on Computer and Information Technology, CIT 2019, 2019 International Workshop on Resource Brokering with Blockchain, RBchain 2019 and 2019 Asia-Pacific Services Computing Conference, APSCC 2019
CountryAustralia
CitySydney
Period11/12/1913/12/19

Keywords

  • Data market
  • Data sharing
  • Health research
  • Trust
  • Wearable data

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