Enhanced password authentication through keystroke typing characteristics

Authors:
Ozlem Guven;Selim Akyokus;Mitat Uysal;Aykut Guven
Affiliations:
Department of Computer Engineering, Dogus University, Istanbul, Turkey;Department of Computer Engineering, Dogus University, Istanbul, Turkey;Department of Computer Engineering, Dogus University, Istanbul, Turkey;IDEA Tekonoloji Inc., Istanbul, Turkey
Venue:
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Year:
2007

Citing 11
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Abstract

Biometric security systems enable more secure authentication methods to access a computer system's resources. This paper presents a biometric security system based on keystroke dynamics that enable hardening or strengthening the password verification process by comparing the captured keystroke dynamics information with the user's templates stored in a template database. The system uses the statistical information about keystroke latencies of users as a measure to differentiate different users. It uses a classifier that resembles a neural network as the structure.