• DocumentCode
    737814
  • Title

    Scalable and Secure Sharing of Personal Health Records in Cloud Computing Using Attribute-Based Encryption

  • Author

    Li, Ming ; Yu, Shucheng ; Zheng, Yao ; Ren, Kui ; Lou, Wenjing

  • Author_Institution
    Dept. of CS, Utah State Univ., Logan, UT, USA
  • Volume
    24
  • Issue
    1
  • fYear
    2013
  • Firstpage
    131
  • Lastpage
    143
  • Abstract
    Personal health record (PHR) is an emerging patient-centric model of health information exchange, which is often outsourced to be stored at a third party, such as cloud providers. However, there have been wide privacy concerns as personal health information could be exposed to those third party servers and to unauthorized parties. To assure the patients´ control over access to their own PHRs, it is a promising method to encrypt the PHRs before outsourcing. Yet, issues such as risks of privacy exposure, scalability in key management, flexible access, and efficient user revocation, have remained the most important challenges toward achieving fine-grained, cryptographically enforced data access control. In this paper, we propose a novel patient-centric framework and a suite of mechanisms for data access control to PHRs stored in semitrusted servers. To achieve fine-grained and scalable data access control for PHRs, we leverage attribute-based encryption (ABE) techniques to encrypt each patient´s PHR file. Different from previous works in secure data outsourcing, we focus on the multiple data owner scenario, and divide the users in the PHR system into multiple security domains that greatly reduces the key management complexity for owners and users. A high degree of patient privacy is guaranteed simultaneously by exploiting multiauthority ABE. Our scheme also enables dynamic modification of access policies or file attributes, supports efficient on-demand user/attribute revocation and break-glass access under emergency scenarios. Extensive analytical and experimental results are presented which show the security, scalability, and efficiency of our proposed scheme.
  • Keywords
    cloud computing; cryptography; data privacy; health care; information retrieval; medical information systems; attribute-based encryption; cloud computing; data access; data privacy; health information exchange; patient-centric model; personal health records; scalable sharing; secure sharing; Access control; Encryption; Medical services; Scalability; Servers; Personal health records; attribute-based encryption; cloud computing; data privacy; fine-grained access control;
  • fLanguage
    English
  • Journal_Title
    Parallel and Distributed Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9219
  • Type

    jour

  • DOI
    10.1109/TPDS.2012.97
  • Filename
    6171175