User tuned feature selection in keystroke dynamics

被引：0

作者：

Amarnadh, Jyothi Bhaskarr ^{[1
]}

Gamboa, Hugo ^{[1
]}

Fred, Ana ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Elect & Commun, N Guwahati 781039, Guwahati, India

来源：

BIOSIGNALS 2008: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING, VOL II | 2008年

关键词：

pattern recognition; biometrics; keystroke dynamics; feature selection;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

页码：546 / 550

页数：5

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