IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v14y2012i3d10.1007_s10796-011-9305-1.html
   My bibliography  Save this article

A role-involved purpose-based access control model

Author

Listed:
  • Md. Enamul Kabir

    (University of Southern Queensland)

  • Hua Wang

    (University of Southern Queensland)

  • Elisa Bertino

    (Purdue University)

Abstract

This paper presents a role-involved purpose-based access control (RPAC) model, where a conditional purpose is defined as the intention of data accesses or usages under certain conditions. RPAC allows users using some data for a certain purpose with Conditions (For instance, Tony agrees that his income information can be used for marketing purposes by removing his name). The structure of RPAC model is investigated after defining access purposes, intended purposes and conditional purposes. An algorithm is developed with role-based access control (RBAC) to achieve the compliance computation between access purposes (related to data access) and intended purposes (related to data objects). Access purpose authorization and authentication in the RPAC model are studied with the hierarchical purpose structure. According to the model, more information from data providers can be extracted while at the same time assuring privacy that maximizes the usability of consumers’ data. It extends role-based access control models to a further coverage of privacy preservation in database management systems by adopting purposes and conditional intended purposes and to achieve a fine-grained access control. The work in this paper helps enterprises to circulate a clear privacy promise, and to collect and manage user preferences and consent.

Suggested Citation

  • Md. Enamul Kabir & Hua Wang & Elisa Bertino, 2012. "A role-involved purpose-based access control model," Information Systems Frontiers, Springer, vol. 14(3), pages 809-822, July.
  • Handle: RePEc:spr:infosf:v:14:y:2012:i:3:d:10.1007_s10796-011-9305-1
    DOI: 10.1007/s10796-011-9305-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-011-9305-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10796-011-9305-1?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.

    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:spr:infosf:v:14:y:2012:i:3:d:10.1007_s10796-011-9305-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.