Application of fuzzy neural network in the trust-based access control model

This paper proposes a method of using fuzzy neural network into the security access control model based on the Trust-based access control model (TrustBAC). Under the circumstance of users´ confidence changing with the context information, in order to solve the problem of dynamic access control and authorization, this paper provides a new attempt by building a reasonable fuzzy neural network topology and fuzzy inference rules to assign the users to the roles. Simulation experiments show that the method is effective.