Secure and private management of healthcare databases for data mining

Document Type

Conference Proceeding

Source of Publication

Proceedings - IEEE Symposium on Computer-Based Medical Systems

Publication Date

1-1-2015

Abstract

© 2015 IEEE. There has been a tremendous growth in health data collection since the development of Electronic Medical Record (EMR) systems. Such collected data is further shared and analyzed for diverse purposes. Despite many benefits, data collection and sharing have become a big concern as it threatens individual privacy. In this paper, we propose a secure and private data management framework that addresses both the security and privacy issues in the management of medical data in outsourced databases. The proposed framework ensures the security of data by using semantically-secure encryption schemes to keep data encrypted in outsourced databases. The framework also provides a differentially-private query interface that can support a number of SQL queries and complex data mining tasks. We experimentally evaluate the performance of the proposed framework, and the results show that the proposed framework is practical and has low overhead.

ISBN

9781467367752

ISSN

1063-7125

Publisher

Institute of Electrical and Electronics Engineers Inc.

Volume

2015-July

First Page

191

Last Page

196

Disciplines

Computer Sciences | Medicine and Health Sciences

Keywords

Data sharing, Differential privacy, Electronic medical record, Privacy

Scopus ID

84944225754

Indexed in Scopus

yes

Open Access

no

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