Mousa Farajallah

Enhancing a Multi-Lens Behavioral Anomaly-Detection Framework for Insider Threat Mitigation

The growing challenges posed by insider attacks cannot be addressed by traditional defense mechanisms. This study addresses these challenges by proposing a behavioral anomaly detection framework that examines user activities from four complementary perspectives: aggregate daily actions, temporal event sequences, gr...