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

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4 Author(s)
Su, R. ; Sch. of Electron. & Inf. Eng., Ningbo Univ. of Technol., Ningbo, China ; Yongping Zhang ; Jianbo Fan ; Yu Wang

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.

Published in:

Intelligent Control and Automation (WCICA), 2010 8th World Congress on

Date of Conference:

7-9 July 2010

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