修改密码时对用户进行认证的静态击键动态认证(SKDA)模型

Nataasha Raul, R. Shankarmani, Padmaja Joshi
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引用次数: 0

摘要

击键动力学被认为是身份验证的支持因素。特别是在静态击键动力学中,通过使用定时特性来识别用户,该特性在用户输入登录ID和密码时捕获。要实现这一点,需要使用定时特性创建用户配置文件。但是,在更改密码这样的场景中,几乎没有可用的击键定时数据,非常规特性可能会有所帮助。本文重点介绍在更改密码期间使用非常规功能(如NumLock键、Shift键、CapsLock键等)来识别用户。本文还详细介绍了如何捕捉静态击键动力学中的非常规特征,并建立了一个可用于密码更改的模型。
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Static Keystroke Dynamic Authentication (SKDA) Model to Authenticate User during Password Change
Keystroke dynamics is considered as a supporting factor of authentication. Especially in the static keystroke dynamics, the user is identified by using the timing featured, which is captured while the user enters the login ID and password. To achieve this, the user profile needs to be created with timing features. However, in a scenario like a change of password where nearly no keystroke timing data is available, non-conventional features may be helpful. This article focuses on using non-conventional features such as NumLock key, Shift key, CapsLock key, etc for identifying users during a change of password. The paper also details how to capture the non-conventional features in static keystroke dynamics and build a model that can be used in the change of nassword.
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