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User authentication through keystroke dynamics
Abstract
Unlike other access control systems based on biometric features, keystroke analysis has not led to techniques providing an acceptable level of accuracy. The reason is probably the intrinsic variability of typing dynamics, versus other---very stable---biometric characteristics, such as face or fingerprint patterns. In this paper we present an original measure for keystroke dynamics that limits the instability of this biometric feature. We have tested our approach on 154 individuals, achieving a False Alarm Rate of about 4% and an Impostor Pass Rate of less than 0.01%. This performance is reached using the same sampling text for all the individuals, allowing typing errors, without any specific tailoring of the authentication system with respect to the available set of typing samples and users, and collecting the samples over a 28.8-Kbaud remote modem connection.
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Citations
Cited by
Biometric Authentication and Identification Using Keystroke Dynamics: A Survey
Banerjee, S. P., & Woodard, D. (2012) · Journal of Pattern Recognition Research · doi:10.13176/11.427 · Cited by 369
Identifying emotional states using keystroke dynamics
Epp, C., Lippold, M., & Mandryk, R. L. (2011) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979046 · Cited by 364
Surveying the Development of Biometric User Authentication on Mobile Phones
Meng, W., Wong, D. S., Furnell, S., & Zhou, J. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2386915 · Cited by 300
A review of emotion recognition methods based on keystroke dynamics and mouse movements
Kolakowska, A. (2013) · 2013 6th International Conference on Human System Interactions (HSI) · doi:10.1109/hsi.2013.6577879 · Cited by 130
Multi modal decision fusion for continuous authentication
Fridman, L., Stolerman, A., Acharya, S., Brennan, P., Juola, P., Greenstadt, R., & Kam, M. (2015) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2014.10.018 · Cited by 64
Metadata
- Authors
- Bergadano, F., Gunetti, D., & Picardi, C.
- Venue
- ACM Transactions on Information and System Security
- Published
- 2002-11
- Volume
- 5
- Issue
- 4
- Pages
- 367-397
- ISSN
- 1094-9224 (ISSN-L)
- 1557-7406
- OpenAlex
- W1981157808
- Cited by
- 513
- References
- 0
- FWCI
- 16.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bergadano, F., Gunetti, D., & Picardi, C. (2002). User authentication through keystroke dynamics. ACM Transactions on Information and System Security. https://doi.org/10.1145/581271.581272
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