TY - GEN
T1 - A privacy-preserving data sharing solution for mobile healthcare
AU - Huang, Chanying
AU - Yan, Kedong
AU - Wei, Songjie
AU - Lee, Dong Hoon
N1 - Funding Information:
This work is supported by China NSF (61472189), Jiangsu Planned Projects for Postdoctoral Research Funds (1701146B), CERNET Next Generation IT Inovation Project (NGII20160105), State Key Laboratory of Air Traffic Management System and Technology (SKLATM201703), and the Open Project Program of Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education(JYB201610).
PY - 2017
Y1 - 2017
N2 - Personal Health Records (PHR) is patient-centric healthcare system, which allows patients to control who can get access to their health records and which section of the record can be accessed. Hot issues such as access control, patients control degree, and privacy protection, etc. are still the challenging concerns while designing a secure PHR system. In this paper, we propose dsPPS, a secure integrated PHR framework(from health data collection to health data sharing) that meets patients' full control of their PHR and sufficient privacy preservation. Specifically, dsPPS provides two schemes: Biometric-Based secure health data Collection (BBC) scheme and Attribute-Based health record Accessing (ABA) scheme. While BBC scheme enables patients to collect their scattered health data from multiple typical health systems securely and efficiently, the ABA scheme allows users (health systems) access to the PHR server with their sensitive attributes being protected. Comprehensive analysis is conducted to show the security of dsPPS against typical attacks. In addition, experiments in both smart phone and PC (Intel) platforms demonstrate that dsPPS produces reasonable performance in terms of storage, communication and computational overheads.
AB - Personal Health Records (PHR) is patient-centric healthcare system, which allows patients to control who can get access to their health records and which section of the record can be accessed. Hot issues such as access control, patients control degree, and privacy protection, etc. are still the challenging concerns while designing a secure PHR system. In this paper, we propose dsPPS, a secure integrated PHR framework(from health data collection to health data sharing) that meets patients' full control of their PHR and sufficient privacy preservation. Specifically, dsPPS provides two schemes: Biometric-Based secure health data Collection (BBC) scheme and Attribute-Based health record Accessing (ABA) scheme. While BBC scheme enables patients to collect their scattered health data from multiple typical health systems securely and efficiently, the ABA scheme allows users (health systems) access to the PHR server with their sensitive attributes being protected. Comprehensive analysis is conducted to show the security of dsPPS against typical attacks. In addition, experiments in both smart phone and PC (Intel) platforms demonstrate that dsPPS produces reasonable performance in terms of storage, communication and computational overheads.
KW - Attribute
KW - Biometric
KW - Mobile health
KW - Privacy-preserving
KW - Security
UR - http://www.scopus.com/inward/record.url?scp=85048153687&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048153687&partnerID=8YFLogxK
U2 - 10.1109/PIC.2017.8359554
DO - 10.1109/PIC.2017.8359554
M3 - Conference contribution
AN - SCOPUS:85048153687
T3 - Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017
SP - 260
EP - 265
BT - Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Progress in Informatics and Computing, PIC 2017
Y2 - 15 December 2017 through 17 December 2017
ER -