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1. 发明公开

EP2477136A1 Method for continuously verifying user identity via keystroke dynamics 有权转让
标题翻译： Verfahren zur kontinuierlichenÜberprüfungderBenutzeridentitätüberdie Tastenanschlagsdynamik
公开(公告)号：EP2477136A1
公开(公告)日：2012-07-18
申请号：EP12000082.3
申请日：2012-01-09
申请人： Deutsche Telekom AG
发明人： Shimshon, Tomer , Moskovitch, Robert , Rokach, Lior , Elovici, Yuval
IPC分类号： G06F21/20
CPC分类号： G06F21/316 , G06F21/32
摘要： A method of verifying the identity of users according to their interaction with a keyboard device of a computer, according to which during a training phase in which a group of users are trained, input streams of keystrokes performed by each of the trained users are recorded and similar pairs of consecutive keystrokes are joined, based on their temporal features. A features vector is then extracted from each input stream of keystrokes, so as to create a user verification model representing the user typing patterns. During a verification phase in which real-time streams of keystrokes are verified, input streams of keystrokes performed by a verified user are recorded and each of the streams is transformed to a features vector. A vector of probabilities indicating the probabilities that the features vector belongs to each user is generated and the stream of keystrokes and associating it with the user with the highest probability is classified.
摘要翻译：根据其与计算机的键盘装置的交互来验证用户的身份的方法，根据该方法，在训练一组用户的训练阶段期间记录由训练有素的每一个使用者执行的输入输入的击键流; 基于它们的时间特征来连接相似的连续击键对。然后从每个输入输入流中提取特征向量，以便创建表示用户打字模式的用户验证模型。在确认了实时按键流的验证阶段期间，记录由经过验证的用户执行的输入输入的按键流，并将每个流转换为特征向量。生成指示特征向量属于每个用户的概率的概率向量，并且按击击流并将其与具有最高概率的用户相关联。

2. 发明授权

EP2477136B1 Method for continuously verifying user identity via keystroke dynamics 有权转让
标题翻译：通过按键动态连续验证用户身份的方法
公开(公告)号：EP2477136B1
公开(公告)日：2018-04-11
申请号：EP12000082.3
申请日：2012-01-09
申请人： Deutsche Telekom AG
发明人： Shimshon, Tomer , Moskovitch, Robert , Rokach, Lior , Elovici, Yuval
IPC分类号： G06F21/30
CPC分类号： G06F21/316 , G06F21/32
摘要： A method of verifying the identity of users according to their interaction with a keyboard device of a computer, according to which during a training phase in which a group of users are trained, input streams of keystrokes performed by each of the trained users are recorded and similar pairs of consecutive keystrokes are joined, based on their temporal features. A features vector is then extracted from each input stream of keystrokes, so as to create a user verification model representing the user typing patterns. During a verification phase in which real-time streams of keystrokes are verified, input streams of keystrokes performed by a verified user are recorded and each of the streams is transformed to a features vector. A vector of probabilities indicating the probabilities that the features vector belongs to each user is generated and the stream of keystrokes and associating it with the user with the highest probability is classified.

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