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
收藏
页码：546 / 550
页数：5
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