• DocumentCode
    3780178
  • Title

    Analyzing quality criteria in role-based identity and access management

  • Author

    Michael Kunz;Ludwig Fuchs;Michael Netter;G?nther Pernul

  • Author_Institution
    University of Regensburg, Regensburg, Germany
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    Roles have turned into the de facto standard for access control in enterprise identity management systems. However, as roles evolve over time, companies struggle to develop and maintain a consistent role model. Up to now, the core challenge of measuring the current quality of a role model and selecting criteria for its optimization remains unsolved. In this paper, we conduct a survey of existing role mining techniques and identify quality criteria inherently used by these approaches. This guides organizations during the selection of a role mining technique that matches their company-specific quality preferences. Moreover, our analysis aims to stimulate the research community to integrate quality metrics in future role mining approaches.
  • Keywords
    "Data mining","Clustering algorithms","Access control","Companies","Optimization","Algorithm design and analysis","Current measurement"
  • Publisher
    ieee
  • Conference_Titel
    Information Systems Security and Privacy (ICISSP), 2015 International Conference on
  • Type

    conf

  • Filename
    7509931