"Scenario Intelligence: Modeling Insider Threats for Effective Anomaly " by Bashayer Alshehhi, Halim Khelalfa et al.
Academic researchers currently face a significant gap in validating anomaly detection algorithms due to the lack of real-life insider threat scenarios. It is well recognized that stimulating and developing scenarios is a way to overcome potential risks that could occur in the future. Identifying patterns between possible scenario outcomes is a strategy that acts proactively against insider threat attacks. This research study investigates real-life scenario patterns of insider attacks in different industries. It aims at identifying the attributes that play key roles in detecting anomalies in in...