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On the Use of Rough Sets for User Authentication Via Keystroke Dynamics

  • Kenneth Revett
  • Sérgio Tenreiro de Magalhães
  • Henrique M. D. Santos
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4874)

Abstract

Keystroke dynamics is a behavioral biometric that is based on how a user enters their login details. In this study, a set of eight attributes were extracted during the course of entering login details. This collection of attributes was used to form a reference signature (a biometrics identification record) for subsequent authentication requests. The algorithm for the authentication step entails transforming the attributes into a discretised form based on the amino acid alphabet. A set of bioinformatics based algorithms are then used to perform the actual authentication test. In addition, the use of rough sets was employed in this study to determine if subsets of attributes were more important in the classification (authentication) than others. Lastly, the results of this study indicate that the error rate is less than 1% in the majority of the cases.

Keywords

behavioral biometrics keystroke dynamics multiple sequence alignment reducts rough sets 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Kenneth Revett
    • 1
  • Sérgio Tenreiro de Magalhães
    • 2
  • Henrique M. D. Santos
    • 2
  1. 1.University of Westminster, Harrow School of Computer Science, London, HA1 3TPUK
  2. 2.Universidade do Minho, Department of Information Systems, Campus de Azurem, 4800-058 GuimaraesPortugal

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