Advertisement

User Authentication Based on Keystroke Dynamics Analysis

  • Agata Kolakowska
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 95)

Abstract

In this paper a few methods used to authenticate users on the basis of their keystroke dynamics have been presented. Two of the methods define distance measures to compare typed texts. The third method examines feature distribution parameters. Some modification of one of the methods has been proposed. The methods have been tested and their performance compared on two data sets. Finally the three methods have been combined to generate another decision rule, which has been also compared with the three original ones.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Monrose, F., Rubin, A.: Authentication via keystroke dynamics. In: Proceedings of the 4th ACM Conf. on Computer and Communication Security. ACM Press, New York (1997)Google Scholar
  2. 2.
    Curtin, M., Tappert, C., Villani, M., Ngo, G., Simone, J., Fort, H.S., Cha, S.H.: Keystroke biometric recognition on long-text input: a feasibility study. In: Proceedings of Student/Faculty Research Day, CSIS, Pace University (2006)Google Scholar
  3. 3.
    Clarke, N.L., Furnell, S.M.: Authenticating mobile phone users using keystroke analysis. Int. J. Inf. Security 6 (2007)Google Scholar
  4. 4.
    Tax, D.M.J.: One-class classification. PhD dissertation, Delft University of Technology (2001)Google Scholar
  5. 5.
    Bergadano, F., Gunetti, G., Picardi, C.: User authentication through keystroke dynamics. ACM Trans. on Information and System Security 5(4), 367–397 (2002)CrossRefGoogle Scholar
  6. 6.
    Gunetti, G., Picardi, C.: Keystroke analysis of free text. ACM Trans. on Information and System Security 8(3), 312–347 (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Agata Kolakowska
    • 1
  1. 1.Gdansk University of TechnologyPoland

Personalised recommendations