• DocumentCode
    2918786
  • Title

    Mining attribute-based access control policies from RBAC policies

  • Author

    Zhongyuan Xu ; Stoller, Scott D.

  • Author_Institution
    Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA
  • fYear
    2013
  • fDate
    21-22 Oct. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Role-based access control (RBAC) is very widely used but has notable limitations, prompting a shift towards attribute-based access control (ABAC). However, the cost of developing an ABAC policy can be a significant obstacle to migration from RBAC to ABAC. This paper presents the first formal definition of the problem of mining ABAC policies from RBAC policies and attribute data, and the first algorithm specifically designed to mine an ABAC policy from an RBAC policy and attribute data.
  • Keywords
    authorisation; data mining; ABAC policies; RBAC policies; attribute data; attribute-based access control policy mining; role-based access control; Access control; Algorithm design and analysis; Data mining; Educational institutions; Gold; Merging; Semantics; attribute-based access control; role mining; role-based access control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies for a Smarter World (CEWIT), 2013 10th International Conference and Expo on
  • Conference_Location
    Melville, NY
  • Type

    conf

  • DOI
    10.1109/CEWIT.2013.6713753
  • Filename
    6713753
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2918786