A Distributed Ledger Technology Design using Hyperledger Fabric and a Clinical Trial Use Case

D. Richard Kuhn, Joshua D. Roberts, David Ferraiolo, Joanna Defranco

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Industry continues to be challenged when attempting to share data among organizations, especially when the data comes from different database management systems (DBMS) and different DBMS schemas. Another concern is that privacy laws may require some types of data to be protected under local access policies. We describe a secure data sharing solution using Next-generation Database Access Control (NDAC) and the Data Block Matrix (DBM). A clinical trial data use case is discussed, as well as a description of a proof-of-concept implementation of the DBM using Hyperledger Fabric. The solution described allows data access where the data resides, rather than exchanging or being centrally stored. Additionally, it solves the conflict between conventional blockchain use and privacy regulations, by using a form of distributed ledger technology that meets 'right to erasure' requirements.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 IEEE 29th Annual Software Technology Conference, STC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages168-173
Number of pages6
ISBN (Electronic)9781665488648
DOIs
StatePublished - 2022
Event29th IEEE Annual Software Technology Conference, STC 2022 - Virtual, Online, United States
Duration: Oct 3 2022Oct 6 2022

Publication series

NameProceedings - 2022 IEEE 29th Annual Software Technology Conference, STC 2022

Conference

Conference29th IEEE Annual Software Technology Conference, STC 2022
Country/TerritoryUnited States
CityVirtual, Online
Period10/3/2210/6/22

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Safety, Risk, Reliability and Quality

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