The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.
Biometric Authentication and Identification Using Keystroke Dynamics: A Survey
Abstract
Dependence on computers to store and process sensitive information has made it necessary to secure them from intruders. A behavioral biometric such as keystroke dynamics which makes use of the typing cadence of an individual can be used to strengthen existing security techniques effectively and cheaply. Due to the ballistic (semi-autonomous) nature of the typing behavior it is difficult to impersonate, making it useful as a biometric. Therefore in this paper, we provide a basic background of the psychological basis behind the use of keystroke dynamics. We also discuss the data acquisition methods, approaches and the performance of the methods used by researchers on standard computer keyboards. In this survey, we find that the use and acceptance of this biometric could be increased by devel-opment of standardized databases, assignment of nomenclature for features, development of common data interchange formats, establishment of protocols for evaluating methods, and resolution of privacy issues.
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Cites
An introduction to biometric recognition
Jain, A. K., Ross, A., & Prabhakar, S. (2004) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2003.818349 · Cited by 4,974
The Psychology of Human-Computer Interaction
Card, S. K., Moran, T. P., & Newell, A. (2018) · CRC Press eBooks · doi:10.1201/9780203736166 · Cited by 4,103
The keystroke-level model for user performance time with interactive systems
Card, S. K., Moran, T. P., & Newell, A. (1980) · Communications of the ACM · doi:10.1145/358886.358895 · Cited by 1,174
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
Studies on the telegraphic language: The acquisition of a hierarchy of habits.
Bryan, W. L., & Harter, N. (1899) · Psychological Review · doi:10.1037/h0073117 · Cited by 562
Simulating a skilled typist: a study of skilled cognitive-motor performance
RUMELHART, D., & NORMAN, D. (1982) · Cognitive Science · doi:10.1016/s0364-0213(82)80004-9 · Cited by 537
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
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
Exploring keystroke dynamics and stylometry features for gender prediction on chat data
Li, G., Borj, P. R., Bergeron, L., & Bours, P. (2019) · 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) · doi:10.23919/mipro.2019.8756740 · Cited by 9
Metadata
- Authors
- Banerjee, S. P., & Woodard, D.
- Venue
- Journal of Pattern Recognition Research
- Published
- 2012
- Volume
- 7
- Issue
- 1
- Pages
- 116-139
- ISSN
- 1558-884X (ISSN-L)
- OpenAlex
- W2136928336
- Cited by
- 369
- References
- 82
- FWCI
- 58.54
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
