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The Effectiveness of Artificial Rhythms and Cues in Keystroke Dynamics Based User Authentication

  • Pilsung Kang
  • Sunghoon Park
  • Sungzoon Cho
  • Seong-seob Hwang
  • Hyoung-joo Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3917)

Abstract

In keystroke dynamics based user authentication, an access system utilizes not only a valid user’s password, but also his/her typing patterns. Although high performances in terms of FAR(False Acceptance Rate) and FRR(False Rejection Rate) have been reported, most researches used a large number of valid users’ typing patterns in order to implement complex algorithms in building a classifier[1]. However, collecting sufficient typing patterns to construct a complex classifier is practically impossible. When only a handful of typing patterns are available, the only way to compensate the lack of quantity is to improve quality. To improve the quality of typing patterns, using artificial rhythms and cues were proposed[2]. In this paper, we aim at verifying the effectiveness of artificial rhythms and cues by testing hypotheses.

Keywords

Typing Pattern Complex Classifier Complex Algorithm Access System False Acceptance Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Peacock, A., Ke, X., Wilkerson, M.: Typing Patterns: A Key to User Identification. IEEE Security & Privacy 2(5), 40–47 (2004)CrossRefGoogle Scholar
  2. 2.
    Cho, S., Hwang, S.: Artificial Rhythms and Cues for Keystroke Dynamics based Authentication. In: IAPR International Conference on Biometrics, Honokong (to appear, 2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Pilsung Kang
    • 1
  • Sunghoon Park
    • 1
  • Sungzoon Cho
    • 1
  • Seong-seob Hwang
    • 1
  • Hyoung-joo Lee
    • 1
  1. 1.Department of Industrial EngineeringSeoul National UniversitySeoulKorea

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