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Technologies for login pattern based multi-factor authentication

机译:基于登录模式的多因素身份验证技术

摘要

Technologies for multi-factor authentication of a user include a computing device with one or more sensors. The computing device may authenticate the user by analyzing biometric and/or environmental sensor data to determine whether to allow the user access to a computing device. To do so, the computing device may determine reliability scores based on the environment during authentication for each biometric authentication factor used to authenticate the user. Additionally, the computing device may determine a login pattern based on sensor data collected during historical authentication attempts by the user over a period of time. The computing device may apply a machine-learning classification algorithm to determine classification rules, based on the login pattern, applied by the computing device to determine whether to allow the user access to the computing device. Other embodiments are described herein and claimed.
机译:用于用户的多因素认证的技术包括具有一个或多个传感器的计算设备。计算设备可以通过分析生物特征和/或环境传感器数据以确定是否允许用户访问计算设备来认证用户。为此,计算设备可以针对用于认证用户的每个生物计量认证因子,基于认证期间的环境来确定可靠性分数。另外,计算设备可以基于用户在一段时间内的历史认证尝试期间收集的传感器数据来确定登录模式。计算设备可以基于计算模式应用的登录模式来应用机器学习分类算法,以确定分类规则,以确定是否允许用户访问计算设备。本文描述了其他实施例并要求保护。

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