User authentication based on biometrics has explored both physiological and behavioral characteristics. We present a system, called Web Interaction Display and Monitoring (WIDAM), that captures an user interaction on the web via a pointing device. This forms the basis of a new authentication system that uses behavioral information extracted from these interaction signals. The user interaction logs produced by WIDAM are presented to a sequential classifier, that applies statistical pattern recognition techniques to ascertain the identity of an individual - authentication system. The overall performance of the combined acquisition / authentication systems is measured by the global equal error rate, estimated from a test set. Preliminary results show that the new technique is a promising tool for user authentication, exhibiting comparable performances to other behavioural biometric techniques. Exploring standard human-computer interaction devices, and enabling remote access to behavioura...
Hugo Gamboa, Ana L. N. Fred