About

This project's aim is to detect login anomalies for staff of Akbank, one of the largest banks in Turkey.

Using the Windows Event data, the system learns the login and logout patterns of each staff, so forming the identity of each employee.

With incoming event data, the system performs anomaly detection on a staff basis. It also classifies staff and finds anomalies based on their classification.