Keystroke Biometric Test-Taker Authentication System
Michael Wuench, Mingfei Bi, Evelin Urbaez, Shaji Mary Varghese, Michael Tevnan, Mary Villani, Charles C. Tappert · 2009
Pace University has had ongoing research in keystroke biometrics for over five years. Previous work created and tested systems that are able to successfully identify and authenticate individuals with a relatively high degree of accuracy. Excellent results were obtained over short time intervals and on longitudinal studies spanning up to two years. The current study modifies the existing systems toward practical usage. In doing so, we attempt to verify users taking an online test based on the characteristics of their typing. Results on new input data verify that 300-keystroke input samples are sufficient (essentially comparable to 650-keystroke samples), and that high performance can be obtained if the person being authenticated was one of the training subjects. Desired low False Acceptance Rates are obtained even if the person being authenticated is not among the training subjects, as long as there are a sufficient number of training subjects and samples (e.g., 5 samples from each of 30 subjects). Finally, possible methods for determining immediate online authentication are proposed.