一种面向击键动态身份认证的多模板选择算法

在击键动态身份认证系统中，样本采集和模板建立直接影响系统性能。目前单模板击键认证系统存在无法使错误接受率和错误拒绝率都降低到可接受范围内的不足。为此将多模板思想引入击键认证过程中，在提出最大认证概率算法和最小认证概率算法后，提出均衡概率多模板选择算法，将两种错误率都控制在合理范围内。通过实验同GMMS算法进行对比，并研究了模板数和模板样本数对认证结果的影响，最后与单模板认证系统进行了比较分析。

A new multi template selection algorithm for keystroke dynamic identity authentication

Sample collection and the establishment of the template are crucial for keystroke dynamic identity authentication systems. So far, the single template systems cannot decrease the false reject/accept rate(FRR/FAR) into the reasonable range. The multi template method is introduced into the keystroke authentication, and then a new multi template selection algorithm is proposed to balance the FRR and FAR after the most/least authentication probability algorithm is presented. Experiments are done to compare the proposed algorithm with the GMMS, and the factors that can influence the authentication results are analyzed. At last, the advantage of multi template system is also shown, compared with the single template authentication systems.