Keystroke pressure-based typing biometrics authentication system using support vector machines
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Date
2007-08-26
Journal Title
Journal ISSN
Volume Title
Publisher
Springer, Berlin, Heidelberg
Abstract
Security of an information system depends to a large extent on its
ability to authenticate legitimate users as well as to withstand attacks of various
kinds. Confidence in its ability to provide adequate authentication is, however,
waning. This is largely due to the wrongful use of passwords by many users. In
this paper, the design and development of keystroke pressure-based typing
biometrics for individual user’s verification which based on the analysis of
habitual typing of individuals is discussed. The combination of maximum
pressure exerted on the keyboard and time latency between keystrokes is used
as features to create typing patterns for individual users so as to recognize
authentic users and to reject impostors. Support vector machines (SVMs),
which is relatively new machine learning, is used as a pattern matching method.
The effectiveness of the proposed system is evaluated based upon False Reject
Rate (FRR) and False Accept Rate (FAR). A series of experiment shows that the
proposed system is effective for biometric-based security system.
Description
Keywords
Biometric, Security, Keystroke, Maximum pressure, Time latency, Support vector machine
Citation
Martono, W., Ali, H., & Salami, M. J. E. (2007, August). Keystroke pressure-based typing biometrics authentication system using support vector machines. In international Conference on Computational Science and Its Applications (pp. 85-93). Springer, Berlin, Heidelberg.