Access Control via Lightweight Ontologies

Giunchiglia, Fausto and Crispo, Bruno and Zhang, Rui (2011) Access Control via Lightweight Ontologies. UNSPECIFIED.

Download (259Kb) | Preview


    The paper presents Relation Based Access Control RelBAC, a model and a logic for access control which models communities, possibly nested, and resources, possibly organized inside complex file systems, as lightweight ontologies, and permissions as relations between subjects and objects. RelBAC allows us to represent expressive access control rules beyond the current state of the art, and to deal with the strong dynamics of subjects, objects and permissions which arise in Web 2.0 applications (e.g. social networks). Finally, as shown in the paper, using RelBAC, it becomes possible to reason about access control policies and, in particular to compute candidate permissions by matching subject ontologies (representing their interests) with resource ontologies (describing their characteristics). "(c) 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works." Published version is available at: Giunchiglia, F. and Crispo, B. and Rui Zhang “Access control via lightweight ontologies”, in 2011 Fifth IEEE International Conference on Semantic Computing (ICSC), Piscataway (NJ), Institute of Electrical and Electronics Engineers, 2011, pp. 352-355 (ISBN: 978-1-4577-1648-5).

    Item Type: Departmental Technical Report
    Department or Research center: Information Engineering and Computer Science
    Subjects: Q Science > QA Mathematics > QA076 Computer software
    Additional Information: Submitted to IEEE International Workshop on Semantics, Security and Privacy (ICSC 2011)
    Report Number: DISI-11-467
    Repository staff approval on: 05 Aug 2011

    Actions (login required)

    View Item