Integrating Secure Multiparty Computation into Data Spaces

Veronika Siska (Author and Speaker), Thomas Lorünser, Stephan Krenn, Christoph Fabianek

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review

Abstract

Integrating secure multiparty computation (MPC) into data spaces is a promising approach for enabling secure and trustworthy data-sharing in the future Data Economy. This paper systematically analyzes the integration challenges of MPC in data spaces and proposes a comprehensive approach to address these challenges. The authors evaluate various use cases to identify key challenges and gaps in existing research. They propose concrete methods and technologies to solve these challenges, focusing on areas such as authentication and identity management, policy description, node selection, global system parameters, and access control. The paper emphasizes the importance of standardization efforts to ensure interoperability among MPC-enabled data spaces. Overall, this work provides valuable insights and directions for further research in integrating MPC into dynamic data sharing environments.
Original languageEnglish
Title of host publicationProceedings of the 14th International Conference on Cloud Computing and Services Science
Pages346-357
Number of pages12
Volume1
ISBN (Electronic)978-989-758-701-6
DOIs
Publication statusPublished - 4 May 2024
Event14th International Conference on Cloud Computing and Services Science - Angers, France
Duration: 2 May 20244 May 2024
Conference number: 14
https://closer.scitevents.org

Conference

Conference14th International Conference on Cloud Computing and Services Science
Abbreviated titleCLOSER 2024
Country/TerritoryFrance
CityAngers
Period2/05/244/05/24
Internet address

Research Field

  • Sustainable & Resilient Society
  • Cyber Security

Keywords

  • Secure Multiparty Computation
  • Data Spaces
  • Policy Definitions
  • Decentralized Trust

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