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Biometrics and Data Mining: Comparison of Data Mining-Based Keystroke Dynamics Methods for Identity Verification

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2313))

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Abstract

Biometrics is the field that differentiates among various people based on their unique biological and physiological patterns such as retina, finger prints, DNA and keyboard typing patterns to name a few. Keystroke Dynamics is a physiological biometric that measures the unique typing rhythm and cadence of a computer keyboard user. This paper presents a Data Mining-based Keystroke Dynamics application for identity verification, and it reports the results of experiments comparing different approaches to Keystroke Dynamics. The methods compared were Decision Trees, a Naïve Bayesian Classifier, Memory Based Learning, and statistics-based Keystroke Dynamics.

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References

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Author information

Authors and Affiliations

  1. Center for Artificial Intelligence, ITESM, Campus Monterrey, Ave. E. Garza Sada #2501 Sur, C.P. 64849, Monterrey, Nuevo León, México

    Francisco J. Gutiérrez, Margarita M. Lerma-Rascón & Francisco J. Cantú

  2. Computer Science Department, ITESM, Campus Monterrey, Monterrey

    Luis R. Salgado-Garza

Authors
  1. Francisco J. Gutiérrez
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  2. Margarita M. Lerma-Rascón
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  3. Luis R. Salgado-Garza
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  4. Francisco J. Cantú
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Editor information

Editors and Affiliations

  1. Computer Science Section, Electrical Engineering Department, CINVESTAV-IPN, Av. IPN 2508, Col. San Pedro Zacatenco, D.F. 07300, Mexico, Mexico

    Carlos A. Coello Coello

  2. Computer Science Department, ITESM-Mexico City, Calle del Puente 222, Tlalpan, D.F. 14380, Mexico, Mexico

    Alvaro de Albornoz

  3. Computer Science Department, ITESM-Cuernavaca, Reforma 182-A, Lomas de Cuernavaca, Temixco, 62589, Morelos, Mexico

    Luis Enrique Sucar

  4. Department of Computer Science, ITAM, Rio Hondo 1, Progreso Tizapan, D.F. 01000, Mexico, Mexico

    Osvaldo Cairó Battistutti

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© 2002 Springer-Verlag Berlin Heidelberg

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Gutiérrez, F.J., Lerma-Rascón, M.M., Salgado-Garza, L.R., Cantú, F.J. (2002). Biometrics and Data Mining: Comparison of Data Mining-Based Keystroke Dynamics Methods for Identity Verification. In: Coello Coello, C.A., de Albornoz, A., Sucar, L.E., Battistutti, O.C. (eds) MICAI 2002: Advances in Artificial Intelligence. MICAI 2002. Lecture Notes in Computer Science(), vol 2313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46016-0_48

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  • DOI: https://doi.org/10.1007/3-540-46016-0_48

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43475-7

  • Online ISBN: 978-3-540-46016-9

  • eBook Packages: Springer Book Archive

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