Dealing with Different Languages and Old Profiles in Keystroke Analysis of Free Text

Dealing with Different Languages and Old Profiles in Keystroke Analysis of Free Text
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自由文本击键分析中处理不同语言和旧配置文件

DOI:
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发表时间:
2005
期刊:
International Conference of the Italian Association for Artificial Intelligence
影响因子:
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通讯作者:
G. Ruffo
G. Ruffo
中科院分区:
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文献类型:
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作者:
D. Gunetti;Claudia Picardi;G. Ruffo

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在本文中,我们通过实验表明,即使在形成用户的键入以来,即使经过了很长的时间,即使经过了很长的时间,也可以为用户身份验证和身份验证提供有用的信息,即使用户使用与曾经使用的语言不同的语言写作形成他们的个人资料。因此,我们认为,击键分析可以在确定用户身份很重要或重要的不同领域有效,包括计算机安全和用户建模。
In this paper we show experimentally that typing dynamics of free text provide useful information for user identification and authentication even when a long time has passed since typing profiles of users were formed, and even when users are writing in a language different from the one used to form their profiles. Hence, we argue that keystroke analysis can be an effective aid in different areas where ascertaining user identity is important or crucial, including Computer Security and User Modeling.