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Improving Authentication Accuracy of Unfamiliar Passwords with Pauses and Cues for Keystroke Dynamics-Based Authentication

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

Abstract

Keystroke dynamics-based authentication (KDA) is to verify a user’s identification using not only the password but also keystroke patterns. The authors have shown in previous research that uniqueness and consistency of keystroke patterns are important factors to authentication accuracy and that they can be improved by employing artificial rhythms and tempo cues. In this paper, we implement the pause strategy and/or auditory cues for KDA and assess their effectiveness using various novelty detectors. Experimental results show that improved uniqueness and consistency lead to enhanced authentication performance, in particular for those users with poor typing ability.

Keywords

Equal Error Rate Novelty Detector False Acceptance Rate False Rejection Rate Internet Banking 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

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

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