Advanced Machine Learning and Intelligent Decision Support Systems for User Anomaly Behavior Discovery in Large Transaction System

Our projects aim at assisting system administrators to enhance the security policies of their systems. In such environments, the authenticated and authorized users (trusted users) in one system can access to the resources of other systems and cause serious damage. The security administrators cannot effectively monitor and control such situations due to huge volumes of dynamically changing user behaviors and intentions.