Privacy-Preserving Verification of Clinical Research

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

1 Citation (Scopus)
20 Downloads (Pure)

Abstract

We treat the problem of privacy-preserving statistics verification in clinical research. We show that given aggregated results from statistical calculations, we can verify their correctness efficiently, without revealing any of the private inputs used for the calculation. Our construction is based on the primitive of Secure Multi-Party Computation from Shamir's Secret Sharing. Basically, our setting involves three parties: a hospital, which owns the private inputs, a clinical researcher, who lawfully processes the sensitive data to produce an aggregated statistical result, and a third party (usually several verifiers) assigned to verify this result for reliability and transparency reasons. Our solution guarantees that these verifiers only learn about the aggregated results (and what can be inferred from those about the underlying private data) and nothing more. By taking advantage of the particular scenario at hand (where certain intermediate results, e.g., the mean over the dataset, are available in the clear) and utilizing secret sharing primitives, our approach turns out to be practically efficient, which we underpin by performing several experiments on real patient data. Our results show that the privacy-preserving verification of the most commonly used statistical operations in clinical research presents itself as an important use case, where the concept of secure multi-party computation becomes employable in practice.
Original languageUndefined
Title of host publicationSicherheit 2014: Sicherheit, Schutz und Zuverlässigkeit, Beiträge der 7. Jahrestagung des Fachbereichs Sicherheit der Gesellschaft für Informatik e.V. (GI)
Place of PublicationBonn
PublisherGesellschaft für Informatik
Pages481-500
Number of pages20
ISBN (Print)978-3-88579-622-0
Publication statusPublished - 2014
EventSicherheit 2014 - Sicherheit, Schutz und Zuverlässigkeit, Beiträge der 7. Jahrestagung des Fachbereichs Sicherheit der Gesellschaft für Informatik e.V - Wien, Austria
Duration: 19 Mar 201421 Mar 2014
Conference number: 7

Publication series

NameLecture Notes in Informatics (LNI)
PublisherGesellschaft für Informatik e.V.

Conference

ConferenceSicherheit 2014 - Sicherheit, Schutz und Zuverlässigkeit, Beiträge der 7. Jahrestagung des Fachbereichs Sicherheit der Gesellschaft für Informatik e.V
CountryAustria
CityWien
Period19/03/1421/03/14

Keywords

  • METIS-304102
  • IR-91145
  • SCS-Cybersecurity
  • EWI-24760

Cite this