Privacy-Preserving Analytics for Data Markets Using MPC

Karl Koch, Stephan Krenn, Donato Pellegrino, Sebastian Ramacher

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

Data markets have the potential to foster new data-driven applications and help growing data-driven businesses. When building and deploying such markets in practice, regulations such as the European Union’s General Data Protection Regulation (GDPR) impose constraints and restrictions on these markets especially when dealing with personal or privacy-sensitive data. In this paper, we present a candidate architecture for a privacy-preserving personal data market, relying on cryptographic primitives such as multi-party computation (MPC) capabl e of performing privacy-preserving computations on the data. Besides specifying the architecture of such a data market, we also present a privacy-risk analysis of the market following the LINDDUN methodology.
OriginalspracheEnglisch
TitelIFIP Advances in Information and Communication Technology
Herausgeber (Verlag)Springer Science and Business Media Deutschland GmbH
Seiten226-246
Seitenumfang21
ISBN (Print)9783030724641
DOIs
PublikationsstatusVeröffentlicht - 2021
VeranstaltungIFIP Summer School on Privacy and Identity Management 2021 -
Dauer: 17 Aug. 2021 → …

Publikationsreihe

NameIFIP Advances in Information and Communication Technology
Band619 IFIP

Sonstiges

SonstigesIFIP Summer School on Privacy and Identity Management 2021
Zeitraum17/08/21 → …

Research Field

  • Cyber Security

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