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

Fida K. Dankar; Rashid Al Ali

doi:10.1016/j.procs.2015.08.386

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

Fida K. Dankar, Rashid Al Ali

Research output: Contribution to journal › Conference article › peer-review

5 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 language	English
Pages (from-to)	569-574
Number of pages	6
Journal	Procedia Computer Science
Volume	63
DOIs	https://doi.org/10.1016/j.procs.2015.08.386
Publication status	Published - 2015
Externally published	Yes
Event	6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2015 - Berlin, Germany Duration: Sept 27 2015 → Sept 30 2015

Keywords

Biomedical data
De-identification
Institutional review boards
Privacy

ASJC Scopus subject areas

General Computer Science

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10.1016/j.procs.2015.08.386

Cite this

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title = "A theoretical multi-level privacy protection framework for biomedical data warehouses",

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.",

keywords = "Biomedical data, De-identification, Institutional review boards, Privacy",

author = "Dankar, {Fida K.} and {Al Ali}, Rashid",

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AU - Dankar, Fida K.

AU - Al Ali, Rashid

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - Biomedical data

KW - De-identification

KW - Institutional review boards

KW - Privacy

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DO - 10.1016/j.procs.2015.08.386

M3 - Conference article

AN - SCOPUS:84954168596

SN - 1877-0509

VL - 63

SP - 569

EP - 574

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2015

Y2 - 27 September 2015 through 30 September 2015

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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