Privacy-Preserving AI for Insider Threat Detection: A Federated Graph Learning Approach Using Behavioral Analytics
Detection of insiders is challenging due to potential abuses of authorised access. In this work, a privacy-preserving approach to the analysis of enterprise event logs leveraging behavioural attributes, graph-based relations between user activities, anomaly detection and federated learning is proposed. The proxy target...