• DocumentCode
    1363137
  • Title

    Using alloy to analyse a spatio-temporal access control model supporting delegation

  • Author

    Toahchoodee, M. ; Ray, I.

  • Author_Institution
    Comput. Sci. Dept., Colorado State Univ., Fort Collins, CO, USA
  • Volume
    3
  • Issue
    3
  • fYear
    2009
  • Firstpage
    75
  • Lastpage
    113
  • Abstract
    Pervasive computing applications use the knowledge of the environment to provide better services and functionality to the end user. Access control for such applications needs to use contextual information. Towards this end, we proposed an access control model based on role-based access control that uses the environmental contexts time and location to determine whether a user can get access to some resource. The model also supports delegation which is important for dynamic applications where a user is unavailable and permissions may have to be transferred temporarily to another user/role in order to complete a specific task. Such a model typically has numerous features to support the requirements of various applications. The features may interact in subtle ways to produce conflicts. Here, we propose an automated approach using Alloy for detecting such conflicts. Alloy is supported by a software infrastructure that allows automated analysis of models and has been used to verify industrial applications. The results obtained from the analysis will enable the users of the model to make informed decisions.
  • Keywords
    authorisation; decision making; digital signatures; program verification; system monitoring; ubiquitous computing; automated Alloy model analysis; conflict detection; decision making; delegation-based spatio-temporal access control model; digital signature; dynamic application; environmental contextual information; industrial application verification; pervasive computing application; role-based access control; software infrastructure;
  • fLanguage
    English
  • Journal_Title
    Information Security, IET
  • Publisher
    iet
  • ISSN
    1751-8709
  • Type

    jour

  • DOI
    10.1049/iet-ifs.2008.0074
  • Filename
    5230866