ASSESSING ROLE MINING ALGORITHMS USING RMINER TOOL IN IDENTIFYING THE BEST MODEL FOR ACCESS CONTROL

摘要

Role-based access control model has been accepted by many organizations because of the security feature that the model offers. Generally, role-based access control executes based on a role which includes set of permissions that built in a matrix form and the advantage of this model is the flexibility to modify or reassign the roles of a user if the permissions are changed. However, one of the main challenges in designing and executing the role-based access control model is to define a complete and correct set of roles and assigning them with permissions and therefore to solve this problem, the researchers have proposed role mining algorithms to produce such role set. Moreover, there are only a few comprehensive studies have been carried out to compare these algorithms and the evaluations are usually using different dataset and evaluation criteria. In order to give the researcher some insights into their performances, this paper presents an analysis on some of the well-known role mining algorithms by using RMiner tool that can be applied for role mining process and deliberate some of the dataset that can be used in role mining environment.