User Specific Parameters in One-class Problems: The Case of Keystroke Dynamics

Sylvain Hocquet, Jean-Yves Ramel, Hubert Cardot

2006

Abstract

In this paper, we propose a method to find and use user-dependant parameters to increase the performance of a keystroke dynamic system. These parameters include the security threshold and fusion weights of different classifiers. We have determined a set of global parameters, which increase the performance of some keystroke dynamics methods. Our experiments show that parameter personalization greatly increases the performances of keystroke dynamics systems. The main problem is how to estimate the parameters from only a small user training set containing ten login sequences. This problem is a promising way to increase performance in biometric but is still open today.

References

  1. R.S. Gaines, W. Lisowski, S. J. Press, N. Z. Shapiro Authentication by Keystroke Timing: Some Preliminary Results, Rand Report R-256-NSF, Rand Corporation, 1980.
  2. J. Ilonen, Keystroke dynamics, Advanced Topics in Information Processing 1 - Lecture, 2003.
  3. A. Peacock, X. Keand, M. Wilkerson, Typing Patterns: A Key to User Identification, IEEE Security and Privacy, Vol 2, pp. 40-47, 2004
  4. F. Monrose, A.D. Rubin, Keystroke dynamics as a biometric for authentication, Future Gener. Comput. Syst., Elsevier Science Publishers, Vol 16, Num 4, pp 351-359, 2000
  5. E. Yu, S.Cho, Keystroke dynamics identity verification-its problems and practical solutions, Computers & Security, Vol. 23, Num. 5, pp. 428-440, 2004.
  6. W. Chen, W. Chang, Applying Hidden Markov Models to Keystroke Pattern Analysis for Password Verification, IRI, pp. 467-474, 2004
  7. S. Hocquet, J.Y. Ramel, H. Cardot, Fusion of Methods for Keystroke Dynamic Authentication, Fourth IEEE Workshop on Automatic Identification Advanced Technologies, pp. 224- 229 2005
  8. J. Leggett, G. Williams, M. Usnick, M. Longnecker, Dynamic identity verification via keystroke characteristics, Int. J. Man-Mach. Stud., Academic Press Ltd, Vol 35, pp. 859- 870 , 1991
  9. J. Kittler, M. Hatef, R.P.W. Duin, J. Matas On Combining Classifiers, IEEE Trans. Pattern Anal. Mach. Intell., IEEE Computer Society, Vol. 20, pp. 226-239, 1998
  10. A.K. Jain, K. Nandakumar, A. Ross, Score Normalization in Multimodal Biometric Systems, Department of Computer Science, Michigan State University, Vol. 38 ,pp 2270-2285, 2005
  11. A.K. Jain, A.A. Ross, Learning user-specific parameters in a multibiometric system, ICIP, pp. 57-60, 2002
  12. J. Fierrez-Aguilarand, D. Garcia-Romero, J. Ortega-Garcia, J. Gonzalez-Rodriguez, Adapted user-dependent multimodal biometric authentication exploiting general information, Pattern Recognition Letters, Vol 26, pp 2628-2639 , 2005
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Paper Citation


in Harvard Style

Hocquet S., Ramel J. and Cardot H. (2006). User Specific Parameters in One-class Problems: The Case of Keystroke Dynamics . In 6th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2006) ISBN 978-972-8865-55-9, pages 127-135. DOI: 10.5220/0002485901270135


in Bibtex Style

@conference{pris06,
author={Sylvain Hocquet and Jean-Yves Ramel and Hubert Cardot},
title={User Specific Parameters in One-class Problems: The Case of Keystroke Dynamics},
booktitle={6th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2006)},
year={2006},
pages={127-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002485901270135},
isbn={978-972-8865-55-9},
}


in EndNote Style

TY - CONF
JO - 6th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2006)
TI - User Specific Parameters in One-class Problems: The Case of Keystroke Dynamics
SN - 978-972-8865-55-9
AU - Hocquet S.
AU - Ramel J.
AU - Cardot H.
PY - 2006
SP - 127
EP - 135
DO - 10.5220/0002485901270135