On the Error-Reject Trade-Off in Biometric Verification Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Keystroke dynamics as a biometric for authentication
Future Generation Computer Systems - Special issue on security on the Web
Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
Distance-based outliers: algorithms and applications
The VLDB Journal — The International Journal on Very Large Data Bases
Estimating the Support of a High-Dimensional Distribution
Neural Computation
Artificial rhythms and cues for keystroke dynamics based authentication
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
SOM-based novelty detection using novel data
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
Keystroke-based authentication by key press intervals as a complementary behavioral biometric
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Continual retraining of keystroke dynamics based authenticator
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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Keystroke dynamics-based authentication (KDA) is to verify a user's identification using not only the password but also keystroke patterns. The authors have shown in previous research that uniqueness and consistency of keystroke patterns are important factors to authentication accuracy and that they can be improved by employing artificial rhythms and tempo cues. In this paper, we implement the pause strategy and/or auditory cues for KDA and assess their effectiveness using various novelty detectors. Experimental results show that improved uniqueness and consistency lead to enhanced authentication performance, in particular for those users with poor typing ability.