IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v15y2019i6p1550147719846050.html
   My bibliography  Save this article

Privacy-aware relationship semantics–based XACML access control model for electronic health records in hybrid cloud

Author

Listed:
  • Tehsin Kanwal
  • Ather Abdul Jabbar
  • Adeel Anjum
  • Saif UR Malik
  • Abid Khan
  • Naveed Ahmad
  • Umar Manzoor
  • Muhammad Naeem Shahzad
  • Muhammad A Balubaid

Abstract

State-of-the-art progress in cloud computing encouraged the healthcare organizations to outsource the management of electronic health records to cloud service providers using hybrid cloud. A hybrid cloud is an infrastructure consisting of a private cloud (managed by the organization) and a public cloud (managed by the cloud service provider). The use of hybrid cloud enables electronic health records to be exchanged between medical institutions and supports multipurpose usage of electronic health records. Along with the benefits, cloud-based electronic health records also raise the problems of security and privacy specifically in terms of electronic health records access. A comprehensive and exploratory analysis of privacy-preserving solutions revealed that most current systems do not support fine-grained access control or consider additional factors such as privacy preservation and relationship semantics. In this article, we investigated the need of a privacy-aware fine-grained access control model for the hybrid cloud. We propose a privacy-aware relationship semantics–based XACML access control model that performs hybrid relationship and attribute-based access control using extensible access control markup language. The proposed approach supports fine-grained relation-based access control with state-of-the-art privacy mechanism named Anatomy for enhanced multipurpose electronic health records usage. The proposed (privacy-aware relationship semantics–based XACML access control model) model provides and maintains an efficient privacy versus utility trade-off. We formally verify the proposed model (privacy-aware relationship semantics–based XACML access control model) and implemented to check its effectiveness in terms of privacy-aware electronic health records access and multipurpose utilization. Experimental results show that in the proposed (privacy-aware relationship semantics–based XACML access control model) model, access policies based on relationships and electronic health records anonymization can perform well in terms of access policy response time and space storage.

Suggested Citation

  • Tehsin Kanwal & Ather Abdul Jabbar & Adeel Anjum & Saif UR Malik & Abid Khan & Naveed Ahmad & Umar Manzoor & Muhammad Naeem Shahzad & Muhammad A Balubaid, 2019. "Privacy-aware relationship semantics–based XACML access control model for electronic health records in hybrid cloud," International Journal of Distributed Sensor Networks, , vol. 15(6), pages 15501477198, June.
  • Handle: RePEc:sae:intdis:v:15:y:2019:i:6:p:1550147719846050
    DOI: 10.1177/1550147719846050
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147719846050
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1550147719846050?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:15:y:2019:i:6:p:1550147719846050. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.