DataVaults: A Secure, Distributed and Privacy Preserving Personal Data Management Platform

Weizhi Meng, Wei-Yang Chiu

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

With the rapid development of information technology, the ethical use of data and users' privacy has become a big concern. In European Union, the General Data Protection Regulation (GDPR) has been enforced since 2018, aiming to protect a person's privacy. However, the growth of the data economy might be hindered due to the lack of a trusted, secure and privacy-aware tool. Motivated by this observation, this work presents Data Vaults - a secure, distributed and privacy-preserving personal data management platform. The main goal is to mitigate various privacy concerns through allowing an individual to maintain the ownership, handle and share the data based on their willingness. The platform enables a flexible data sharing method with fair compensation schemes. In particular, with the Data Vaults platform, an individual can protect the sharing of personal data and fairly define how value can be captured, created, released and cashed out for the benefit of all the stakeholders involved (companies or not).
Original languageEnglish
Title of host publicationProceedings of the 2023 IEEE 43rd International Conference on Distributed Computing Systems
PublisherIEEE
Publication date2023
Pages997-1000
ISBN (Print)979-8-3503-3987-1
ISBN (Electronic)979-8-3503-3986-4
DOIs
Publication statusPublished - 2023
Event2023 IEEE 43rd International Conference on Distributed Computing Systems - Hong Kong, Hong Kong
Duration: 18 Jul 202321 Jul 2023

Conference

Conference2023 IEEE 43rd International Conference on Distributed Computing Systems
Country/TerritoryHong Kong
CityHong Kong
Period18/07/202321/07/2023

Keywords

  • Data Management
  • GDPR
  • Blockchain
  • Cloud
  • Personal Data
  • User Privacy

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