Modifying GDM to support keystroke dynamics.
修改GDM以支持击键力学。
Processing and matching keystroke dynamics in GDM.
GDM中击键力学的处理和匹配。
General approach to simple keystroke dynamics in GDM.
GDM中的简单击键力学的一般方法。
As a biometric, keystroke dynamics are relatively imprecise.
作为一种生物识别方法，击键力学相对来说不是很精确。
Setup read and processing of keystroke dynamics and current release timings.
设置读取、处理击键力学和当前释放计时。
Also note that implementing keystroke dynamics requires the user to have character and keystroke accuracy.
另请注意，实现击键力学要求用户能够精确地输入字符和击键。
In addition, keystroke dynamics is one of the few fields where biometrics can be used for continuous authentication.
此外，击键力学是使用生物测量学进行连续身份验证的少数领域之一。
The tools and code described in this article allow you to create your own framework for continuous user verification using keystroke dynamics.
使用本文介绍的工具和代码，您可以创建使用击键力学连续进行用户验证的自定义框架。
The challenge in using keystroke dynamics in an authentication or verification context is to discern acceptable variations from incorrect credentials.
在身份验证或检验环境中使用击键力学的挑战是把可接受的变化与不正确的凭证辩别开来。
Once you have completed the steps shown in "Expand your text entry options with keystroke dynamics," return here to continue building the test program.
当您完成“用击键力学扩展文本输入选项”中所示的步骤后，请返回到这里继续构建测试程序。
In this thesis, these problems are explored in depth, and an identity authentication system based on computer keystroke dynamics is designed and implemented.
本论文针对这些问题进行了深入研究，并完成了一个计算机击键动力学身份鉴别系统。
This article USES example code to demonstrate keystroke dynamics for enhancing the security of your applications in authentication and continuous data entry contexts.
本文将使用示例代码来演示击键力学如何在验证及连续数据输入环境中增强应用程序安全性。
The test program used is a derivative of the xevKeyDyn.pl program first described in the developerWorks article "Expand your text entry options with keystroke dynamics" (see Resources).
使用的测试程序是先前在developerWorks文章 “用击键力学扩展文本输入选项” 中介绍的xevKeyDyn.pl 程序的派生程序（请参阅 参考资料）。
In addition to the many identification options presented by keystroke dynamics discussed in my three earlier articles, mouse usage provides additional data to help determine identity.
除了在我的前三篇文章中讨论的击键力学所提供的许多识别方法之外，鼠标使用情况将提供更多数据来帮助确定用户身份。
Keystroke dynamics is a relatively new field that enables identification of individuals through statistical analysis of their typing patterns.
击键力学是一个相对较新的领域，这项技术可以通过分析键入方式的统计信息来识别个人。
With an established keystroke-dynamics signature in place, it's time to start modifying the GDM source to permit logins only when the keystroke-dynamics criteria have been met.
已经建立的击键力学签名就绪后，应当开始修改GDM源代码以便在仅当满足击键力学条件时才允许登录。
With an established keystroke-dynamics signature in place, it's time to start modifying the GDM source to permit logins only when the keystroke-dynamics criteria have been met.
已经建立的击键力学签名就绪后，应当开始修改GDM源代码以便在仅当满足击键力学条件时才允许登录。
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