Cristin-resultat-ID: 1077745
Sist endret: 16. februar 2018 00:00
NVI-rapporteringsår: 2013
Resultat
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2013

Towards Privacy-Preserving Computing on Distributed Electronic Health Record Data

Bidragsytere:
  • Kassaye Yitbarek Yigzaw
  • Johan Gustav Bellika
  • Anders Andersen
  • Gunnar Hartvigsen og
  • Carlos Fernandez-Llatas

Bok

Om resultatet

Klassifisering

Finansiering

Beskrivelse

  • Engelsk

Tittel

Towards Privacy-Preserving Computing on Distributed Electronic Health Record Data

Sammendrag

The paper reports on work in progress towards construction of a peer-to-peer framework for privacy preserving computing on distributed electronic health data. The framework supports three different types of federated queries. For privacy-preserving computing, we proposed distributed secure multi-party computation (SMC), where each peer is only involved in secure computations with some of the peers. We hypothesize distributed SMC could enable to achieve more efficient and scalable computing solutions. The architecture of the framework is also described.

Bidragsytere

Resultatet er en del av

MDS '13: Proceedings of the 2013 Middleware Doctoral Symposium.

Andersen, Anders; Xu, Chang. 2013, Association for Computing Machinery (ACM). UIT, NUVitenskapelig antologi/Konferanseserie