论文标题
Watchauth：使用智能手表中的移动付款中的用户身份验证和意图识别
WatchAuth: User Authentication and Intent Recognition in Mobile Payments using a Smartwatch
论文作者
论文摘要
在本文中，我们表明，当用户“敲击智能手表”到启用NFC的终端以进行付款时，可以执行的TAP手势是一种生物特征识别，能够隐式地验证用户并同时识别意图付费。所提出的系统可以纯粹在手表上的软件中部署，而无需更新付款终端。它是不可知论的终端类型和位置，意图识别部分不需要用户的任何培训数据。为了验证系统，我们进行了一项用户研究（n = 16），以从用户与付款终端交互时从用户收集腕部运动数据，并从其中的子集（n = 9）收集长期数据，因为他们进行了日常活动。基于这些数据，我们确定最佳手势参数并开发身份验证和意图识别模型，我们的EER分别达到了0.08和0.04。
In this paper, we show that the tap gesture, performed when a user 'taps' a smartwatch onto an NFC-enabled terminal to make a payment, is a biometric capable of implicitly authenticating the user and simultaneously recognising intent-to-pay. The proposed system can be deployed purely in software on the watch without requiring updates to payment terminals. It is agnostic to terminal type and position and the intent recognition portion does not require any training data from the user. To validate the system, we conduct a user study (n=16) to collect wrist motion data from users as they interact with payment terminals and to collect long-term data from a subset of them (n=9) as they perform daily activities. Based on this data, we identify optimum gesture parameters and develop authentication and intent recognition models, for which we achieve EERs of 0.08 and 0.04, respectively.
