论文标题
跑步机辅助步态欺骗（标签）：对可穿戴传感器的步态身份验证的新兴威胁
Treadmill Assisted Gait Spoofing (TAGS): An Emerging Threat to wearable Sensor-based Gait Authentication
论文作者
论文摘要
在这项工作中，我们研究了跑步机辅助步态欺骗（TAG）对可穿戴传感器的步态身份验证（WSGAIT）的影响。我们考虑的是比以前的研究更现实的实现和部署方案，该研究仅集中在加速度计传感器和一组固定功能上。具体而言，我们考虑了WSGAIT实施的情况可能会使用一个或多个嵌入现代智能手机的传感器。此外，它可以使用不同的功能集或不同的分类算法，或两者兼而有之。尽管使用了多种传感器，功能集（通过共同信息排名）和六种不同的分类算法，但标签能够将平均错误接受率（FAR）从4％提高到26％。平均值的大幅度增加，尤其是在本研究中考虑的严格的实施和部署方案下，要求在WSGAIT进行公共使用之前对评估的设计进行进一步调查。
In this work, we examine the impact of Treadmill Assisted Gait Spoofing (TAGS) on Wearable Sensor-based Gait Authentication (WSGait). We consider more realistic implementation and deployment scenarios than the previous study, which focused only on the accelerometer sensor and a fixed set of features. Specifically, we consider the situations in which the implementation of WSGait could be using one or more sensors embedded into modern smartphones. Besides, it could be using different sets of features or different classification algorithms, or both. Despite the use of a variety of sensors, feature sets (ranked by mutual information), and six different classification algorithms, TAGS was able to increase the average False Accept Rate (FAR) from 4% to 26%. Such a considerable increase in the average FAR, especially under the stringent implementation and deployment scenarios considered in this study, calls for a further investigation into the design of evaluations of WSGait before its deployment for public use.
