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

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Intelligence and Security Informatics (WISI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3917))

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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.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Seoul National University, San 56-1, Shillim-dong, Kwanak-gu, 151-744, Seoul, Korea

    Seong-seob Hwang, Hyoung-joo Lee & Sungzoon Cho

Authors
  1. Seong-seob Hwang
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  2. Hyoung-joo Lee
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  3. Sungzoon Cho
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Editor information

Editors and Affiliations

  1. Department of Management Information Systems, Eller College of Management, The University of Arizona, 85721, AZ, USA

    Hsinchun Chen

  2. Chinese Academy of Sciences, 100190, Beijing, China

    Fei-Yue Wang

  3. Drexel University, 19104, Philadelphia, PA, USA

    Christopher C. Yang

  4. MIS Department, University of Arizona, and Chinese Academy of Sciences, Tucson, AZ, USA

    Daniel Zeng

  5. The University of Hong Kong, Hong Kong, China

    Michael Chau

  6. School of Computer Engineering, Nanyang Technological University, 639798, Singapore

    Kuiyu Chang

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© 2006 Springer-Verlag Berlin Heidelberg

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Hwang, Ss., Lee, Hj., Cho, S. (2006). Improving Authentication Accuracy of Unfamiliar Passwords with Pauses and Cues for Keystroke Dynamics-Based Authentication. In: Chen, H., Wang, FY., Yang, C.C., Zeng, D., Chau, M., Chang, K. (eds) Intelligence and Security Informatics. WISI 2006. Lecture Notes in Computer Science, vol 3917. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11734628_9

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  • DOI: https://doi.org/10.1007/11734628_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33361-6

  • Online ISBN: 978-3-540-33362-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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