Modeling fuzzy role based access control using fuzzy formal concept analysis

Abstract

Role based access control (RBAC) is the widely accepted and used access control model. However, mappings among the set of users, roles and permissions in RBAC is a major challenging task. This leads to errors in practical applications. Incorporating human decisions on mappings of RBAC could resolve this issue. But, in real time, human decisions are fuzzy in nature. So, fuzzy techniques can be incorporated into RBAC through fuzzy role based access control (FRBAC). Fuzzy formal concept analysis (FFCA) is a mathematical model for representation of uncertain information in the form of formal context. However to the best of our knowledge, there are no works on modelling fuzzy RBAC through fuzzy FCA. The objective of this paper is to propose the model of representing FRBAC in the form of FFCA. The initial results of our experiments show that the proposed model could implement the major features of RBAC.