Reliable Keystroke Biometric System based on a small number of keystroke samples

被引：0
|
作者：
Chang, Woojin [1 ]
机构：
[1] Seoul Natl Univ, Dept Ind Engn, Seoul 151742, South Korea
来源：
EMERGING TRENDS IN INFORMATION AND COMMUNICATION SECURITY, PROCEEDINGS | 2006年 / 3995卷
关键词：
Keystroke Biometric System; Discrete Wavelet Transform; training set; resampling; hierarchical tree-based classification;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Less than ten keystroke samples from a legitimate user can make Keystroke Biometric System (KBS) reliable. Based on user's original keystroke samples, artificial keystroke samples are produced by resampling techniques in both time and wavelets domains. KBS constructed from these original and artificial keystroke samples shows smaller error rates than KBS from original keystroke samples only. Our resampling techniques can reduce user's workload for keystroke pattern registration while maintaining practically allowable error rates of KBS.
引用
收藏
页码：312 / 320
页数：9
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