Intelligent Multi-Domain RBAC Model

Abstract

The information sharing tends to be dynamic in multi-domains because different teams are sharing information in a Collaborative Working Environment (CWE). The secure information sharing is a challenge in such environments. The Role Based Access Control (RBAC) is an efficient model for rights management in large systems, but it does not handle dynamisms of collaboration in multi-domain environments to access resources at a fine-grained level. The research aimed to address this issue of secure information and data sharing across multiple domains. The proposed model extends the RBAC model using intelligent agents, ontologies and design patterns. It introduces multi-agent monitors for role and permission assignments, session tracking, constraint handling and maintaining role hierarchy semantically. These agents use deductive learning to adapt changes and help in decision making for role and permission assignment. The model's working is discussed using a case scenario to ensure secure collaboration in a multi-domain environment.