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Fuzzy Role Based Access Control Design using Fuzzy Ontology

Author

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  • Chandra Mouliswaran Subramanian

    (Vellore Institute of Technology, Vellore, India)

  • Aswani Kumar Cherukuri

    (Vellore Institute of Technology, Vellore, India)

Abstract

Fuzzy role-based access control (FRBAC) is essential for risk-based environments in many futuristic applications, even though role-based access control (RBAC) is the efficient and widely used access control model for enterprise applications. In FRBAC, authorization related information is vague. It brings the fuzziness in mapping among the components of FRBAC such as user, role and permission. Holding the fuzziness in FRBAC, it is challenging for the security engineer to verify the constraints and correctness of access control policy. On verifying the constraints and correctness of access control policy, knowledge representation techniques are much useful in practice. In this scenario, representing FRBAC using fuzzy ontology might be the right choice for semantic web application. The main objective of this article is to represent the access permissions of FRBAC using fuzzy ontology and verify whether the constraints of FRBAC are possible to get implemented in it or not.

Suggested Citation

  • Chandra Mouliswaran Subramanian & Aswani Kumar Cherukuri, 2019. "Fuzzy Role Based Access Control Design using Fuzzy Ontology," International Journal of Information Technology Project Management (IJITPM), IGI Global, vol. 10(4), pages 118-136, October.
    • Handle: RePEc:igg:jitpm0:v:10:y:2019:i:4:p:118-136
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    Cited by:

    1. Juan Antonio Morente-Molinera & Francisco Javier Cabrerizo & Sergio Alonso & Ignacio Javier Pérez & Enrique Herrera-Viedma, 2020. "Assisting Users in Decisions Using Fuzzy Ontologies: Application in the Wine Market," Mathematics, MDPI, vol. 8(10), pages 1-18, October.

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