Anomaly intrusion detection based on biometrics

Abstract

In this work we introduce the idea of using behavioral biometrics in intrusion detection applications. We propose a new approach to user profiling, which can be used to detect intrusion without the need for any special hardware implementation and without forcing the user to perform any special actions. The technique is based on using "keystroke dynamics" and "mouse dynamics" biometrics. The profiles computed in this case are more accurate than those obtained through the traditional statistical profiling techniques, since they are based on distinctive biological characteristics of users.