Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 260-265 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538619773 |
| DOIs | |
| Publication status | Published - 2018 May 15 |
| Event | 5th International Conference on Progress in Informatics and Computing, PIC 2017 - Nanjing, China Duration: 2017 Dec 15 → 2017 Dec 17 |
Other
| Other | 5th International Conference on Progress in Informatics and Computing, PIC 2017 |
|---|---|
| Country | China |
| City | Nanjing |
| Period | 17/12/15 → 17/12/17 |
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Keywords
- Attribute
- Biometric
- Mobile health
- Privacy-preserving
- Security
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Information Systems
- Signal Processing
Cite this
A privacy-preserving data sharing solution for mobile healthcare. / Huang, Chanying; Yan, Kedong; Wei, Songjie; Lee, Dong Hoon.
Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 260-265.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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
PY - 2018/5/15
Y1 - 2018/5/15
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
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U2 - 10.1109/PIC.2017.8359554
DO - 10.1109/PIC.2017.8359554
M3 - Conference contribution
AN - SCOPUS:85048153687
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.
ER -