Abstract

The generalized trusted user-to-role assignment role-based access control (TURA-RBAC) scheme is first integrated and proposed in this paper, which is a new trusted role-based access control (RBAC) model. It could give a solution to cope with the problem on when many malicious users who want to launch insider threats (InTs) are assigned to an RBAC system. In the other words, the untrusted case is a type of InTs. The approach takes the advantages via soft computing approaches which are chosen by the system to evaluate each user in same interactive session. Upon finding some malicious access content, the user will be denied access to the role as well as the role-based RSA key. The main contributions are described as the following: first, this scheme designs a user-to-role assignment utilizing content awareness via soft computing techniques. Second, a novel generalization model of trusted RBAC is defined in this paper, which adds a new role-to-key assignment into the trusted RBAC model. Third, both the RSA algorithm and AKL approach are combined together into the role hierarchy structure in the TURA-RBAC model. Fourth, the dynamic change in role-to-key assignment in the role hierarchy is designed in this paper. In addition, the scheme provides a scheme that could achieve not only reduce the damage from InTs, but also easy implementation for trusted RBAC. In the end, the discussions, comparisons and security analyses are also presented in this paper.

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