A privacy-preserving data sharing solution for mobile healthcare

Chanying Huang, Kedong Yan, Songjie Wei, Dong Hoon Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


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 languageEnglish
Title of host publicationProceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538619773
Publication statusPublished - 2018 May 15
Event5th International Conference on Progress in Informatics and Computing, PIC 2017 - Nanjing, China
Duration: 2017 Dec 152017 Dec 17


Other5th International Conference on Progress in Informatics and Computing, PIC 2017


  • Attribute
  • Biometric
  • Mobile health
  • Privacy-preserving
  • Security

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Signal Processing

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