KRAKEN: A Privacy-Preserving Data Market for Authentic Data

Karl Koch, Stephan Krenn, Tilen Marc, Stefan More, Sebastian Ramacher*

*Corresponding author for this work

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

Abstract

Data marketplaces are online platforms that provide a way for individuals to monetize their (personal) data. In traditional data marketplaces, the data is uploaded to the marketplace platform in plain-text. Since the broker has access to all data, such marketplaces are risk to the users' privacy. We present a privacy-preserving marketplace that allows data owners to keep control over their data. We use secure multi-party computation to enable data consumers to evaluate expressive functions on a set of data. In our marketplace, the broker has neither access to the data nor the results of a function evaluation. Furthermore, our design ensures data-origin authenticity and enables data owners to define data-usage policies that are enforced by the computation nodes. In addition to the architecture of this private marketplace, we discuss a reference implementation. We also provide an evaluation of our approach, demonstrating its practicability.

Original languageEnglish
Title of host publicationDE 2022 - Proceedings of the 1st International Workshop on Data Economy, Part of CoNEXT 2022
Subtitle of host publicationThe First ACM Data Economy Workshop
Place of PublicationNew York, NY
PublisherAssociation of Computing Machinery
Pages15-20
Number of pages6
ISBN (Electronic)978-1-4503-9923-4
DOIs
Publication statusPublished - 9 Dec 2022
Event2022 International Conference on Emerging Networking Experiments and Technologies: CoNEXT 2022 - Rom, Italy
Duration: 6 Dec 20229 Dec 2022
Conference number: 2022
https://conferences2.sigcomm.org/co-next/2022

Publication series

NameDE 2022 - Proceedings of the 1st International Workshop on Data Economy, Part of CoNEXT 2022

Conference

Conference2022 International Conference on Emerging Networking Experiments and Technologies
Abbreviated titleCoNEXT 2022
Country/TerritoryItaly
CityRom
Period6/12/229/12/22
Internet address

Keywords

  • aggregated analytics
  • data marketplace
  • data sharing
  • multiparty computation
  • privacy

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computer Science Applications
  • Hardware and Architecture
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'KRAKEN: A Privacy-Preserving Data Market for Authentic Data'. Together they form a unique fingerprint.

Cite this