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Context-Aware Active Authentication Using Smartphone Accelerometer Measurements

机译：使用智能手机加速度计测量的上下文感知主动身份验证

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While body movement patterns recorded by a smartphone accelerometer are now well understood to be discriminative enough to separate users, little work has been done to address the question of if or how the position in which the phone is held affects user authentication. In this work, we show through a combination of supervised learning methods and statistical tests, that there are certain users for whom exploitation of information of how a phone is held drastically improves classification performance. We propose a two-stage authentication framework that identifies the location of the phone before performing authentication, and show its benefits based on a dataset of 30 users. Our work represents a first step towards bridging the gap between accelerometer-based authentication systems analyzed from the context of a laboratory environment and a real accelerometer-based authentication system in the wild where phone positioning cannot be assumed.
机译：虽然现在已经很好地理解了由智能手机加速度计记录的身体运动模式足以区分用户，但是却很少做任何工作来解决手机握持位置是否或如何影响用户身份验证的问题。在这项工作中，我们通过有监督的学习方法和统计测试的结合来证明，某些用户可以通过充分利用手机握持信息来显着提高分类性能。我们提出了一个两阶段的身份验证框架，该框架可以在执行身份验证之前识别手机的位置，并根据30个用户的数据集显示其优势。我们的工作代表了弥合在实验室环境中分析的基于加速度计的身份验证系统与无法基于电话定位的真实基于加速度计的身份验证系统之间的差距的第一步。

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