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Authentication via keystroke dynamics
Abstract
In an effort to confront the challenges brought forward by the networking revolution of the past few years, we present im-proved techniques for authorized access to computer system resources and data. More than ever before, the Internet is changing computing as we know it. The possibilities of this global network seem limitless; unfortunately, with this global access comes increased chances of malicious attack and in-trusion. Alternatives to traditional access control measures are in high demand. In what follows we present one such alternative: computer access via keystroke dynamics. A database of 42 profiles was constructed based on key-stroke patterns gathered from various users performing struc-tured and unstructured tasks. We study the performance of a system for recognition of these users, and present a toolkit for analyzing system performance under varying criteria.
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Cited by
A review of biometric technology along with trends and prospects
Unar, J. A., Seng, W. C., & Abbasi, A. (2014) · Pattern Recognition · doi:10.1016/j.patcog.2014.01.016 · Cited by 404
HMOG: New Behavioral Biometric Features for Continuous Authentication of Smartphone Users
Sitova, Z., Sedenka, J., Yang, Q., Peng, G., Zhou, G., Gasti, P., & Balagani, K. S. (2016) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2506542 · Cited by 398
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
A new soft biometric approach for keystroke dynamics based on gender recognition
Giot, R., & Rosenberger, C. (2012) · International Journal of Information Technology and Management · doi:10.1504/ijitm.2012.044062 · Cited by 62
Utilizing linguistically enhanced keystroke dynamics to predict typist cognition and demographics
Brizan, D. G., Goodkind, A., Koch, P., Balagani, K., Phoha, V. V., & Rosenberg, A. (2015) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2015.04.005 · Cited by 54
Metadata
- Authors
- Monrose, F., & Rubin, A.
- Venue
- Proceedings of the 4th ACM conference on Computer and communications security
- Publisher
- ACM
- Published
- 1997-04
- Pages
- 48-56
- ISSN
- 1543-7221 (ISSN-L)
- OpenAlex
- W2083358597
- Cited by
- 497
- References
- 0
- FWCI
- 2.77
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Monrose, F., & Rubin, A. (1997). Authentication via keystroke dynamics. Proceedings of the 4th ACM conference on Computer and communications security. https://doi.org/10.1145/266420.266434
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
