Authors : R. Suguna, Divya Mohandass and R. Poorni
Abstract: Role-Based Access Control (RBAC) is an effective mechanism that provides resources by reducing the risk of resource allocation when the designed roles are business-driven. Data mining represents an essential tool for role engineers. Graphical data mining, formally defines the problem by introducing a metric for the quality of the visualization. Using the RBAC approach, the user-permission assignments of a given set of roles are defined which provides an interface and allows visual elicitation of roles even in the absence of predefined roles. Besides being rooted in sound theory, this is supported by extensive simulations run over real data. Result of the visualization confirm the quality of the proposal and demonstrate its viability in supporting role engineering decisions.
R. Suguna, Divya Mohandass and R. Poorni, 2014. Graphical Data Mining using Hybrid Role Engineering Approach. Asian Journal of Information Technology, 13: 416-421.