The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
A Survey of Keystroke Dynamics Biometrics
Open accessAbstract
Research on keystroke dynamics biometrics has been increasing, especially in the last decade. The main motivation behind this effort is due to the fact that keystroke dynamics biometrics is economical and can be easily integrated into the existing computer security systems with minimal alteration and user intervention. Numerous studies have been conducted in terms of data acquisition devices, feature representations, classification methods, experimental protocols, and evaluations. However, an up‐to‐date extensive survey and evaluation is not yet available. The objective of this paper is to provide an insightful survey and comparison on keystroke dynamics biometrics research performed throughout the last three decades, as well as offering suggestions and possible future research directions.
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Cites
Keystroke dynamics as a biometric for authentication
Monrose, F., & Rubin, A. D. (2000) · Future Generation Computer Systems · doi:10.1016/s0167-739x(99)00059-x · Cited by 745
Comparing anomaly-detection algorithms for keystroke dynamics
Killourhy, K. S., & Maxion, R. A. (2009) · 2009 IEEE/IFIP International Conference on Dependable Systems & Networks · doi:10.1109/dsn.2009.5270346 · Cited by 566
Identity authentication based on keystroke latencies
Joyce, R., & Gupta, G. (1990) · Communications of the ACM · doi:10.1145/75577.75582 · Cited by 534
User authentication through keystroke dynamics
Bergadano, F., Gunetti, D., & Picardi, C. (2002) · ACM Transactions on Information and System Security · doi:10.1145/581271.581272 · Cited by 513
Authentication via keystroke dynamics
Monrose, F., & Rubin, A. (1997) · Proceedings of the 4th ACM conference on Computer and communications security · doi:10.1145/266420.266434 · Cited by 497
Keystroke analysis of free text
Gunetti, D., & Picardi, C. (2005) · ACM Transactions on Information and System Security · doi:10.1145/1085126.1085129 · Cited by 474
Authentication by Keystroke Timing: Some Preliminary Results
Gaines, R. S., Lisowski, W., Press, S. J., & Shapiro, N. Z. (1980) · Defense Technical Information Center (DTIC) · Cited by 347
Combining Face and Iris Biometrics for Identity Verification
Wang, Y., Tan, T., & Jain, A. K. (2003) · Lecture Notes in Computer Science · doi:10.1007/3-540-44887-x_93 · Cited by 313
Computer-access security systems using keystroke dynamics
Bleha, S., Slivinsky, C., & Hussien, B. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.62613 · Cited by 312
Authenticating mobile phone users using keystroke analysis
Clarke, N. L., & Furnell, S. M. (2006) · International Journal of Information Security · doi:10.1007/s10207-006-0006-6 · Cited by 307
Cited by
Online grooming detection: A comprehensive survey of child exploitation in chat logs
Borj, P. R., Raja, K., & Bours, P. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2022.110039 · Cited by 38
Metadata
- Authors
- Teh, P. S., Teoh, A. B. J., & Yue, S.
- Venue
- The Scientific World Journal
- Publisher
- Wiley
- Published
- 2013-01
- Volume
- 2013
- Issue
- 1
- Pages
- 408280-408280
- ISSN
- 1537-744X (ISSN-L)
- 2356-6140
- OpenAlex
- W2045011071
- Cited by
- 329
- References
- 70
- FWCI
- 72.13
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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