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Continuous Authentication of Smartphone Users via Swipes and Taps Analysis

机译:通过滑动和水龙头分析对智能手机用户进行连续身份验证

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Nowadays, smartphones are used for getting access to sensitive and private data. As a result, we need an authentication system that will provide smartphones with additional security and at the same time will not cause annoyance to users. Existing authentication mechanisms provide just a one-time user verification and do not perform re-authentication in the process of further interaction. In this paper, we present a continuous user authentication system based on user's interaction with the touchscreen in conjunction with micromovements, performed by smartphones at the same time. We consider two of the most common types of gestures performed by users (vertical swipes up and down, and taps). The novelty of our approach is that swipes and taps are both analyzed to provide continuous authentication. Swipes are informative gestures, while taps are the most common gestures. This way, we aim to reduce the time of impostors' detection. The proposed scheme collects data from the touchscreen and multiple 3-dimensional sensors integrated in all modern smartphones. We use One-Class Support Vector Machine (OSVM) algorithm to get a model of a legitimate user. The obtained results show that the proposed scheme of continuous authentication can improve smartphone security.
机译:如今,智能手机用于访问敏感和私人数据。因此,我们需要一种身份验证系统,该系统将为智能手机提供更高的安全性,同时又不会给用户带来麻烦。现有的身份验证机制仅提供一次用户验证,并且在进一步交互过程中不执行重新身份验证。在本文中,我们提出了一个连续的用户身份验证系统,该系统基于智能手机同时执行的用户与触摸屏以及微动作的交互。我们考虑用户执行的两种最常见的手势类型(上下垂直滑动和轻击)。我们的方法的新颖之处在于,对滑动和轻击都进行了分析,以提供连续的身份验证。轻击是信息性手势,而轻击是最常见的手势。这样,我们旨在减少冒名顶替者被发现的时间。提议的方案从触摸屏和集成在所有现代智能手机中的多个3维传感器收集数据。我们使用一类支持向量机(OSVM)算法来获取合法用户的模型。获得的结果表明,提出的连续认证方案可以提高智能手机的安全性。

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