Keystroke Dynamics for Biometrics Identification

  • Michał Choraś
  • Piotr Mroczkowski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4432)


Personal identification has lately become a very important issue in the still evolving network society. Biometrics identification methods proved to be very efficient, more natural and easy for users than traditional methods of human identification. Hereby we discuss the idea of human identification based on keystroke dynamics. In the article we focus on our methods of feature extraction from the typing patterns. Moreover, we present satisfactory experimental results and possible applications of keystroke biometrics.




Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Monrose, F., Rubin, A.: Keystroke Dynamics as a Biometric for Authentication. Future Generation Computer Systems 16(4), 351–359 (2000)CrossRefGoogle Scholar
  2. 2.
    Obaidat, M.S., Sadoun, B.: Keystroke Dynamics Based Authentication. In: Jain, A.K., Bolle, R., Pankanti, S. (eds.) Biometrics: Personal Identification in Networked Society (1998)Google Scholar
  3. 3.
    Obaidat, M.S., Sadoun, B.: Verification of Computer Users Using KEystroke Dynamics. IEEE Trans. Syst., Man, Cybern. -Part B 24(2), 261–269 (1997)CrossRefGoogle Scholar
  4. 4.
    Leggett, G., Williams, J., Usnick, M.: Dynamic Identity Verification via Keystroke Characteristics. International Journal of Man-Machine Studies 35(6), 859–870 (1991)CrossRefGoogle Scholar
  5. 5.
    Gaines, R., Lisowski, W., Press, S., Shapiro, N.: Authentication by Keystroke Timing: some preliminary results. Rand Report R-256-NSF. Rand Corporation (1980)Google Scholar
  6. 6.
    Monrose, F., Rubin, A.: Authentication via Keystroke Dynamics. In: Conference on Computer and Communications Security, pp. 48–56 (1997)Google Scholar
  7. 7.
    Joyce, R., Gupta, G.: User authorization based on keystroke latencies. Communications of ACM 33(2), 168–176 (1990)CrossRefGoogle Scholar
  8. 8.
    Bleha, S., Slivinsky, C., Hussein, B.: Computer-access security systems using keystroke dynamics. IEEE Trans. on Patt. Anal. Mach. Int. 12(12), 1217–1222 (1990)CrossRefGoogle Scholar
  9. 9.
    Brown, M., Rogers, S.J.: User identification via keystroke characteristics of typed names using neural networks. International Journal of Man-Machine Studies 39, 999–1014 (1993)CrossRefGoogle Scholar
  10. 10.
    Bergadano, F., Gunetti, D., Picardi, C.: User Authentication through Keystroke Dynamics. ACM Transactions on Information and System Security 5(4), 367–397 (2002)CrossRefGoogle Scholar
  11. 11.
    Brown, M., Rogers, S.J.: Method and apparatus for verification of a computer user’s identification, based on keystroke characteristics. Patent Number 5,557,686, U.S. Patent and Trademark Office, Washington, D.C. (Sept. 1996)Google Scholar
  12. 12.
    Yu, E., Cho, S.: Biometrics-based Password Identity Verification: Some Practical Issues and Solutions. In: XVth Triennial Congress of the International Ergonomics Association (IEA), Seoul, Korea, Aug. 24-29 (2003)Google Scholar
  13. 13.
    Tapiador, M., Sigüenza, J.A.: Fuzzy Keystroke Biometrics On Web Security. In: Proc. of AutoID (1999)Google Scholar
  14. 14.
  15. 15.
    Jain, A.K., Hong, L., Pankanti, S.: Biometrics identification. Communications of the ACM 43(2) (2000)Google Scholar
  16. 16.
    Schneier, B.: Inside risks: the uses and abuses of biometrics. Communications of the ACM 42(8) (1999)Google Scholar
  17. 17.
    Mroczkowski, P., Choraś, M.: Keystroke Dynamics in Biometrics Client-Server Password Hardening System. In: Proc. of Advanced Computer Systems (ACS), vol. II, Miedzyzdroje, Poland, October 2006, pp. 75–82 (2006)Google Scholar

Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Michał Choraś
    • 1
  • Piotr Mroczkowski
    • 2
  1. 1.Image Processing Group, Institute of Telecommunications, University of Technology & Life Sciences, S. Kaliskiego 7, 85-791 BydgoszczPoland
  2. 2.Hewlett Packard Polska, Global Delivery Poland Center, ul. Szturmowa 2a, University Business Center, WarsawPoland

Personalised recommendations