A theoretical multi-level privacy protection framework for biomedical data warehouses

Fida K. Dankar, Rashid Al Ali

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)

Abstract

A critical element in designing a biomedical research platform is the design of a responsible data-sharing mechanism. Such mechanism should provide high utility data in an efficient and timely manner. Existing platforms do not deliver on both timeliness and utility. In this paper, we present a theoretical privacy protection framework. The framework proposes a smart honest broker system that provides data requests with a privacy protection that matches their posed risk. It promises to deliver on both fronts.

Original languageEnglish
Pages (from-to)569-574
Number of pages6
JournalProcedia Computer Science
Volume63
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2015 - Berlin, Germany
Duration: Sep 27 2015Sep 30 2015

Keywords

  • Biomedical data
  • De-identification
  • Institutional review boards
  • Privacy

ASJC Scopus subject areas

  • Computer Science(all)

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