Skip to main content

Keystroke Recognition

  • Reference work entry
Encyclopedia of Biometrics

Synonyms

Behavioral biometrics; Keystroke dynamics; Keystroke pattern classification

Definition

Keystroke recognition is a behavioral biometric which utilizes the unique manner in which a person types to verify the identity of an individual. Typing patterns are predominantly extracted from computer keyboards, but the information can potentially be gathered from any input device having traditional keys with tactile response (i.e., cellular phones, PDA’s, etc). Although other measurements are conceivable, patterns used in keystroke dynamics are derived mainly from the two events that make up a keystroke: the Key-Down and Key-Up. The Key-Down event takes place at the initial depression of a key and the Key-Up occurs at the subsequent release of that key. Various unique features are then calculated based on the intra-key and inter-key timing variations between these events. After feature extraction, a wide range of algorithms can be employed to establish whether the unique pattern confirms...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 449.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Monrose, F., Rubin, A.D.: Authentication via Keystroke Dynamics. In: ACM Conference on Computer and Communications Security, pp. 48–56 (1997)

    Google Scholar 

  2. Bartlow, N., Cukic, B.: Evaluating the Reliability of Credential Hardening through Keystroke Dynamics. In: ISSRE, IEEE Computer Society, Washington, DC, USA, pp. 117–126 (2006)

    Google Scholar 

  3. Mueller, S.: Upgrading and Repairing PCs, 15th edn. QUE, Indianapolis, IN (2004)

    Google Scholar 

  4. Gaines, R., Lisowksi, W., Press, W., Shapiro, S.: Authentication by keystroke timing: Some preliminary results. Rand Report R-256-NSF, The Rand Corporation, Santa Monica, CA (1980)

    Google Scholar 

  5. Joyce, R., Gupta, G.: Identity authentication based on keystroke latencies. Commun. ACM 33(2),168–176 (1990)

    Article  Google Scholar 

  6. Obaidat, M.S., Macchairolo, D.T.: An on-line neural network system for computer access security. IEEE Trans. Industrial Electronics 40(2),235–241 (1993)

    Article  Google Scholar 

  7. Obaidat, M.S., Sadoun, B.: Verification of computer users using keystroke dynamics. IEEE Trans. Syst. Man Cybern. 27(2),261–269 (1997)

    Article  Google Scholar 

  8. Monrose, F., Reiter, M.K., Wetzel, S.: Password hardening based on keystroke dynamics. Int. J. Inf. Sec. 1(2),69–83 (2002)

    Article  MATH  Google Scholar 

  9. Bergadano, F., Gunetti, D., Picardi, C.: User authentication through keystroke dynamics. ACM Trans. Inf. Syst. Secur. 5(4),367–397 (2002)

    Article  Google Scholar 

  10. Garcia, J.: Personal identification apparatus. Patent 4,621,334, US Patent and Trademark Office, Washington, DC (1986)

    Google Scholar 

  11. Young, J., Hammon, R.: Method and apparatus for verifying an individuals identity. Patent 4,805,222, US Patent and Trademark Office, Washington, DC (1989)

    Google Scholar 

  12. Brown, M., Rogers, S.J.: User identification via keystroke characteristics of typed names using neural networks. Int. J. Man Mach. Stud. 39(6), 999–1014 (1993). DOI http://dx.doi.org/10.1006/imms.1993.1092

  13. Maisuria, L.K., Ong, C.S., Lai, W.K.: A comparison of artificial neural networks and cluster analysis for typing biometrics authentication. In: International Joint Conference on Neural Networks (IJCNN), vol. 5, pp. 3295–3299 (1999)

    Google Scholar 

  14. Yu, E., Cho, S.: Keystroke dynamics identity verification - its problems and practical solutions. Comput. Secur. 23(5),428–440 (2004)

    Article  Google Scholar 

  15. Sung, K.S., Cho, S.: GA SVM wrapper ensemble for keystroke dynamics authentication. In: ICB, Springer-Berlin-Hiedelberg, pp. 654–660 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this entry

Cite this entry

Bartlow, N. (2009). Keystroke Recognition. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_205

Download citation

Publish with us

Policies and ethics