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Touchpad Input for Continuous Biometric Authentication

机译:触摸板输入用于连续生物识别身份验证

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摘要

Authentication is a process which is used for access control in computer security. However, common existing methods of authentication, which are based on authentication during the login stage, are insecure due to the lack of authentication after the initial instance. Ideally, authentication should be continuous and should not interfere with a user's normal behavior as to not create an inconvenience for the user. Behaviometric identification, for example, verifies a user's identity based on his behavior, both continuously and without interruption. This work shows that it is possible, with great accuracy, to identify different users based on their touchpad behaviors. While linear classifiers proved ineffective at classifying touchpad behavior, kernel density estimation and decision tree classification each proved capable of classifying data sets with over 90% accuracy.
机译:身份验证是一种用于计算机安全性访问控制的过程。但是,由于在初始实例之后缺乏身份验证,常见的身份验证方法基于身份验证,这是不安全的。理想情况下,身份验证应是连续的,不应干扰用户的正常行为,以免为用户创造不便。例如,行为标识识别基于他的行为验证用户的身份,连续且不间断地中断。这项工作表明,具有极高的准确性,可以根据其触摸板行为来识别不同的用户。虽然线性分类器在分类触摸板行为中证明无效,但是核密度估计和决策树分类每个都证明能够分类具有超过90%的准确度的数据集。

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