• DocumentCode
    2589666
  • Title

    Privacy-Aware Role Based Access Control Model: Revisited for Multi-Policy Conflict Detection

  • Author

    Kim, Yoonjeong ; Song, Eunjee

  • Author_Institution
    Major in Inf. Security, Seoul Women´´s Univ., Seoul, South Korea
  • fYear
    2010
  • fDate
    21-23 April 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Privacy-aware Role-based Access Control (P-RBAC) model is one of Role-Based Access Control (RBAC) model extensions that has been proposed to help the enforcement of privacy policies. Despite the enhanced privacy protection mechanism by P-RBAC, its pair-wise policy conflict detection algorithm has been pointed out as one of its limitations because conflicts within more than two policies are not detected. In this paper, we review and extend P-RBAC´s existing conflict detection algorithm so that it can check conflicts in multiple policies. Our review includes the performance comparison on two conflict detection algorithms, triple-policy conflict detection vs. double-policy conflict detection. We find out that as the number of policies increases and the number of same condition variables in the policies increases, the running time complexity gets bigger. Especially for tripe-policy conflict, the probability of triple policy conflict also affects the complexity.
  • Keywords
    authorisation; computational complexity; data privacy; enhanced privacy protection mechanism; multipolicy conflict detection; pair-wise policy conflict detection algorithm; privacy policies; privacy-aware role based access control model; running time complexity; Access control; Computer science; Detection algorithms; Information security; Performance analysis; Permission; Power system modeling; Privacy; Protection; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Applications (ICISA), 2010 International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-5941-4
  • Electronic_ISBN
    978-1-4244-5943-8
  • Type

    conf

  • DOI
    10.1109/ICISA.2010.5480349
  • Filename
    5480349