Skip to main content
SpringerLink
Log in

User Identification System Based on Biometrics for Keystroke

  • Conference paper
Information and Communication Security (ICICS 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1726))

Included in the following conference series:

Abstract

In this paper, a new type of user identification system based on characteristics (biometrics) for keystroke is proposed. In this system, we do not require any special devices. We utilize two basic parameters: Press-Time, when a user presses a key, Release-Time, when a uses releases the key. Release-Time is a new parameter. By using Release-Time, a user can be identified much more clearly than using only Press-Time. Furthermore, even if a password is stolen, the attacker can hardly find how the owner types because of user’s biometrics for keystroke. Hence this system can overcome the weak point of password checking schemes.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Feinstein, A.R.: Multivariable Analysis, An Introduction. Yale University (1996)

    Google Scholar 

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

    Article  Google Scholar 

  3. Kasukawa, M., Kakuda, H., Mori, Y.: An Identity Authentication Method Based on Arpeggio Keystrokes. Transaction of IPSJ 34, 1198–1205 (1993)

    Google Scholar 

  4. Monrose, F., Rubin, A.: Authentication via Keystroke Dynamics. In: 4th ACM Conference on Computer and Communcations Security (1998)

    Google Scholar 

  5. Omote, K., Okamoto, E.: User Identification Schemes Using Biometrics of Key-stroke. In: Proceedings of CSS 1998, pp. 213–218 (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Information Science, Japan Advanced Institute of Science and Technology, Asahidai 1-1, Tatsunokuchi, Nomi, Ishikawa, 923-1292, Japan

    Kazumasa Omote

  2. Center for Cryptography, Computer and Network Security, University of Wisconsin, Milwaukee, WI, 53201, USA

    Eiji Okamoto

Authors
  1. Kazumasa Omote
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Eiji Okamoto
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Macquarie University, Sydney, Australia

    Vijay Varadharajan

  2. Centre for Computer and Information Security Research School of Computer Science and Software Engineering, University of Wollongong, Australia

    Yi Mu

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Omote, K., Okamoto, E. (1999). User Identification System Based on Biometrics for Keystroke. In: Varadharajan, V., Mu, Y. (eds) Information and Communication Security. ICICS 1999. Lecture Notes in Computer Science, vol 1726. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-47942-0_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-47942-0_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66682-0

  • Online ISBN: 978-3-540-47942-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation