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Applicability of keystroke dynamics as a biometric security feature for mobile touchscreen devices with virtualised keyboards

机译:击键动态作为具有虚拟键盘的移动触摸屏设备的生物特征安全功能的适用性

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Touchscreen-based smartphones with virtualised QWERTY keyboards are becoming increasingly popular and by and by displace the old numerical keypads of normal cellular phones. On traditional desktop computer keyboards, which basically feature the same layout as the virtualised smarthpone keyboards, keystroke dynamics analysis (KDA) algorithms have long since been successfully used as an additional factor for user authentication. However the question remains whether the algorithms used for desktop computers also achieve good results on touchscreen-based devices. This paper presents the results of an experimental user study on the performance of a KDA algorithm for desktop computers applied on a touchscreen-based smartphone. The results achieved are far inferior than those achieved with a desktop computer keyboard. As will be shown, standard typing characteristics (like time between two key events) which provide good results for user authentication on desktop computers are not sufficient for building a successful KDA algorithm for virtual touchscreen keyboards. Hence, this paper also identifies additional features that could be incorporated in such an algorithm in order to improve the accuracy of KDA on touchscreen-based mobile devices.
机译:带有虚拟化QWERTY键盘的基于触摸屏的智能手机正变得越来越流行,并且取代了普通蜂窝电话的旧数字小键盘。在基本上与虚拟化smarthpone键盘具有相同布局的传统台式计算机键盘上,按键动态分析(KDA)算法早就被成功用作用户身份验证的附加因素。但是,问题仍然存在,用于台式计算机的算法在基于触摸屏的设备上是否也能达到良好的效果。本文介绍了一项实验性用户研究的结果,该研究结果是针对基于触摸屏智能手机的台式机KDA算法的性能。所获得的结果远不及台式计算机键盘所获得的结果。如将显示的那样,为台式计算机上的用户身份验证提供良好结果的标准键入特征(如两次按键事件之间的时间)不足以为虚拟触摸屏键盘构建成功的KDA算法。因此,本文还确定了可以纳入此类算法的其他功能,以提高基于触摸屏的移动设备上KDA的准确性。

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