Effect of data size on performance of free-text keystroke authentication
Effect of data size on performance of free-text keystroke authentication
复制标题
数据大小对自由文本击键认证性能的影响
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Zhenhao Hou
中科院分区：
文献类型：
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作者：
Jiaju Huang;Daqing Hou;S. Schuckers;Zhenhao Hou
自由文本击键认证已被证明是一种很有前途的行为生物识别方法。但与指纹等生理特征不同，在自由文本击键身份验证中，没有自然的方法来识别样本的组成。需要多少击键数据才能实现可接受的身份验证性能仍然是一个悬而未决的问题。使用公开的数据集和两个已有的算法，我们进行了两个实验来研究参考轮廓大小和测试样本大小对虚警率(FAR)和冒名顶替者通过率(IPR)的影响。我们发现：(1)较大的参考剖面会降低IPR和FAR值，只要测试样本足够大；(2)较大的测试样本对IPR没有明显影响，而与参考剖面大小无关。我们讨论了我们的发现的实际意义。
Free-text keystroke authentication has been demonstrated to be a promising behavioral biometric. But unlike physiological traits such as fingerprints, in free-text keystroke authentication, there is no natural way to identify what makes a sample. It remains an open problem as to how much keystroke data are necessary for achieving acceptable authentication performance. Using public datasets and two existing algorithms, we conduct two experiments to investigate the effect of the reference profile size and test sample size on False Alarm Rate (FAR) and Imposter Pass Rate (IPR). We find that (1) larger reference profiles will drive down both IPR and FAR values, provided that the test samples are large enough, and (2) larger test samples have no obvious effect on IPR, regardless of the reference profile size. We discuss the practical implication of our findings.