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Continuous authentication with cognition-centric text production and revision features

机译:具有以认知为中心的文本生成和修订功能的连续身份验证

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Most continuous user authentication techniques based on typing behavior rely on the keystroke dynamics or on the linguistic style of the user. However, there is a rich spectrum of cognition-centric behavioral traits that a typist exhibits during different stages of text production (e.g., composition, translation, and revision), which to our knowledge, have not been considered for continuous authentication. We study the continuous authentication performance of 123 behavioral traits extracted from discrete cognitive units called bursts. We performed experiments on typing data collected from 486 volunteer subjects. Our findings include: (1) features from bursts delimited by pause events have significantly higher availability and authentication performance compared to bursts delimited by revision events; (2) bursts with pause durations of at least one second provide the best authentication accuracy and availability; and (3) fusing our features with traditional keystroke dynamics features reduced authentication error rates. We achieved an equal error rate between 13.37 and 4.55 percent for authentication windows as low as 30 seconds to 3.5 minutes.
机译:大多数基于键入行为的连续用户身份验证技术都依赖于按键动力学或用户的语言风格。但是,打字员在文本产生的不同阶段(例如,构图,翻译和修订)表现出丰富的以认知为中心的行为特征,据我们所知,这些特征尚未被考虑用于连续认证。我们研究了从称为突发的离散认知单元中提取的123个行为特征的连续认证性能。我们对从486名志愿者受试者收集的打字数据进行了实验。我们的发现包括:(1)与修订事件定界的突发相比,暂停事件定界的突发特征具有更高的可用性和认证性能; (2)暂停时间至少为一秒的突发提供了最佳的身份验证准确性和可用性; (3)将我们的功能与传统的按键动态功能融合在一起,从而降低了身份验证错误率。对于低至30秒至3.5分钟的身份验证窗口,我们实现了13.7%至4.55%的相等错误率。

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