TY - GEN
T1 - Secure and private management of healthcare databases for data mining
AU - Mohammed, Noman
AU - Barouti, Samira
AU - Alhadidi, Dima
AU - CHEN, Rui
N1 - Publisher Copyright:
© 2015 IEEE.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2015/7/24
Y1 - 2015/7/24
N2 - 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.
AB - 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.
KW - Data sharing
KW - Differential privacy
KW - Electronic medical record
KW - Privacy
UR - http://www.scopus.com/inward/record.url?scp=84944225754&partnerID=8YFLogxK
U2 - 10.1109/CBMS.2015.54
DO - 10.1109/CBMS.2015.54
M3 - Conference proceeding
AN - SCOPUS:84944225754
T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems
SP - 191
EP - 196
BT - Proceedings - IEEE 28th International Symposium on Computer-Based Medical Systems, CBMS 2015
A2 - Traina, Caetano
A2 - Kane, Bridget
A2 - Pereira Rodrigues, Pedro
A2 - de Azevedo-Marques, Paulo Mazzoncini
A2 - Machado Traina, Agma Juci
PB - IEEE
T2 - 28th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2015
Y2 - 22 June 2015 through 25 June 2015
ER -