USER TUNED FEATURE SELECTION IN KEYSTROKE DYNAMICS

Jyothi Bhaskarr Amarnadh, Hugo Gamboa, Ana Fred

Abstract

In this paper, we present a new approach for user biometric verification based on keystroke dynamics. In our approach, the performance of simple classifiers (namely KNN and Bayes classifiers) is tested in a user tuned feature selection method, based on a open password approach. The impact of the training set size is studied, obtaining good results in a preliminary study on a population of 20 users.

References

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Paper Citation


in Harvard Style

Bhaskarr Amarnadh J., Gamboa H. and Fred A. (2008). USER TUNED FEATURE SELECTION IN KEYSTROKE DYNAMICS . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 546-550. DOI: 10.5220/0001069305460550


in Bibtex Style

@conference{biosignals08,
author={Jyothi Bhaskarr Amarnadh and Hugo Gamboa and Ana Fred},
title={USER TUNED FEATURE SELECTION IN KEYSTROKE DYNAMICS},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={546-550},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001069305460550},
isbn={978-989-8111-18-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)
TI - USER TUNED FEATURE SELECTION IN KEYSTROKE DYNAMICS
SN - 978-989-8111-18-0
AU - Bhaskarr Amarnadh J.
AU - Gamboa H.
AU - Fred A.
PY - 2008
SP - 546
EP - 550
DO - 10.5220/0001069305460550