Skip to main content

User Authentication through Typing Biometrics Features

  • Conference paper
Biometric Authentication (ICBA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3072))

Included in the following conference series:

Abstract

This paper uses a static typing biometrics in user authentication. The inputs are the key down and up times and the key ASCII codes captured while the user is typing a string. Four features (key code, two keystroke latencies and key duration) were analyzed, and, seven experiments were performed combining these features. The results of the experiments were evaluated involving three types of user: the legitimate, the impostor and the observer impostor users. The best results were achieved utilizing all features, obtaining a false rejection rate (FRR) of 1.45 1.89 authentication when the password is no more a secret. This paper innovates using the combination of four features to authenticate users.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Matyas Jr, S.M., Stapleton, J.: A Biometric Standard for Information Management and Security. Computers & Security 19, 428–441 (2000)

    Article  Google Scholar 

  2. Monrose, F., Rubin, A.D.: Keystroke Dynamics as a Biometric for Authentication. Future Generation Computer Systems 16(4), 351–359 (2000)

    Article  Google Scholar 

  3. Monrose, F., Reiter, M.K., Wetzel, S.: Password Hardening Based on Keystroke Dynamics. In: 6th ACM Conference on Computer Security (1999)

    Google Scholar 

  4. de Ru, W.G., Eloff, J.H.P.: Enhanced Password Authentication through Fuzzy Logic. IEEE Expert / Intelligent Systems & Their Applications 17(6), 38–45 (1997)

    Google Scholar 

  5. Robinson, J.A., Liang, V.M., Michael, J.A., MacKenzie, C.L.: Computer User Verification Login String Keystroke Dynamics. IEEE Trans. Syst., Man, Cybern. 28(2), 236–241 (1998)

    Article  Google Scholar 

  6. Lin, D.T.: Computer-Access Authentication with Neural Network Based Keystroke Identity Verification. In: International Conference on Neural Networks, vol. 1, pp. 174–178 (1997)

    Google Scholar 

  7. Coltell, O., Badfa, J.M., Torres, G.: Biometric Identification System Based in Keyboard Filtering. In: Proceedings IEE 33rd Annual 1990 International Carnahan Conference on Security Technology, pp. 203–209 (1999)

    Google Scholar 

  8. Joyce, R., Gupta, G.: Identity Authentication Based on Keystroke Latencies. Communication of ACM 33(2), 168–176 (1990)

    Article  Google Scholar 

  9. Bleha, S., Slivinsky, C., Hussain, B.: Computer-Access Security Systems Using Keystroke Dynamics. IEEE Trans. Pattern Anal. Machine Intell. 12(12), 1217–1222 (1990)

    Article  Google Scholar 

  10. Haidar, S., Abbas, A., Zaidi, A.K.: A Multi-Technique Approach for User Identification through Keystroke Dynamics. In: IEEE Int. Conference of Syst., Man and Cybern., vol. 2, pp. 1336–1341 (2000)

    Google Scholar 

  11. Bleha, D., Obaidat, M.: Dimensionality Reduction and Feature Extraction Applications in Identifying Computer Users. IEEE Trans. Syst., Man, Cybern. 21, 452–456 (1991)

    Article  Google Scholar 

  12. Araújo, L.C.F., Sucupira Jr., L.H.R., Lizárraga, M.G., Ling, L.L., Yabu-uti, J.B.T.: A fuzzy Logic Approach in Typing Biometrics User Authentication. In: Proc. First Indian International Conference on Artificial Intelligence, pp. 1038–1051 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Araújo, L.C.F., H. R. Sucupira, L., Lizárraga, M.G., Ling, L.L., Yabu-uti, J.B.T. (2004). User Authentication through Typing Biometrics Features. In: Zhang, D., Jain, A.K. (eds) Biometric Authentication. ICBA 2004. Lecture Notes in Computer Science, vol 3072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25948-0_94

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-25948-0_94

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22146-3

  • Online ISBN: 978-3-540-25948-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics