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Towards Decentralized Accountability and Self-sovereignty in Healthcare Systems

  • Xueping Liang
  • Sachin Shetty
  • Juan Zhao
  • Daniel Bowden
  • Danyi Li
  • Jihong Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10631)

Abstract

With the increasing development and adoption of wearable devices, people care more about their health conditions than ever before. Both patients and doctors as well as insurance agencies benefit from this advanced technology. However, the emerging wearable devices creates a major concern over health data privacy as data collected from those devices can reflect patients’ heath conditions and habits, and could increase the data disclosure risks among the healthcare providers and application vendors. In this paper, we propose using the trusted execution platform enabled by Intel SGX to provide accountability for data access and propose a decentralized approach with blockchain technology to address the privacy concern. By developing a web application for personal health data management (PHDM) systems, the individuals are capable of synchronizing sensor data from wearable devices with online account and controlling data access from any third parties. The protected personal health data and data access records are hashed and anchored to a permanent but secure ledger with platform dependency, ensuring data integrity and accountability. Analysis shows that our approach provides user privacy and accountability with acceptable overhead.

Keywords

Privacy protection Healthcare industry Access control Self-sovereignty Trusted computing Blockchain Decentralization Intel SGX Accountability 

Notes

Acknowledgements

This work was supported by Office of the Assistant Secretary of Defense for Research and Engineering (OASD (R & E)) agreement FA8750-15-2-0120. The work was also supported by a grant from the National Natural Science Foundation of China (No. 61402470) and the research project of Trusted Internet Identity Management (2016YFB0800505 and 2016YFB0800501).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Xueping Liang
    • 1
    • 2
    • 3
  • Sachin Shetty
    • 4
  • Juan Zhao
    • 3
  • Daniel Bowden
    • 5
  • Danyi Li
    • 1
  • Jihong Liu
    • 1
  1. 1.Institute of Information EngineeringChinese Academy of SciencesBeijingChina
  2. 2.School of Cyber SecurityUniversity of Chinese Academy of SciencesBeijingChina
  3. 3.College of EngineeringTennessee State UniversityNashvilleUSA
  4. 4.Virginia Modeling Analysis and Simulation CenterOld Dominion UniversityNorfolkUSA
  5. 5.Sentara HealthcareNorfolkUSA

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