QID: Robust Mobile Device Recognition via a Multi-Coil Qi-Wireless Charging System

QID: Robust Mobile Device Recognition via a Multi-Coil Qi-Wireless Charging System
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DOI:
10.1145/3498904
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发表时间:
2022-03
期刊:
ACM Transactions on Internet of Things
影响因子:
--
通讯作者:
Deliang Yang;Guoliang Xing;Jun Huang;Xiangmao Chang;Xiaofan Jiang
Deliang Yang;Guoliang Xing;Jun Huang;Xiangmao Chang;Xiaofan Jiang
中科院分区:
其他
文献类型:
--
作者:
Deliang Yang;Guoliang Xing;Jun Huang;Xiangmao Chang;Xiaofan Jiang

文献摘要

相似文献

近年来,无线充电基站在工作场所和公共区域(如机场和停车场)的渗透率越来越高。这种新兴的无线充电基础设施为移动的用户提供了新的室内定位和识别服务的机会。在本文中,我们提出了QID,这是第一个可以在无线充电过程中实时识别Qi兼容移动终端的系统。QID从功率接收器的时钟振荡器和控制方案中提取特征,并采用轻量级算法对设备进行分类。QID采用二维运动单元来模拟Qi的各种多线圈设计,这允许细粒度的设备指纹识别。我们的研究结果表明,QID实现了较高的识别精度。随着公共无线充电站的普及,我们的研究结果对移动的用户隐私也有重要意义。
Recent years have witnessed the increasing penetration of wireless charging base stations in the workplace and public areas, such as airports and cafeterias. Such an emerging wireless charging infrastructure has presented opportunities for new indoor localization and identification services for mobile users. In this paper, we present QID, the first system that can identify a Qi-compliant mobile device during wireless charging in real-time. QID extracts features from the clock oscillator and control scheme of the power receiver and employs light-weight algorithms to classify the device. QID adopts a 2-dimensional motion unit to emulate a variety of multi-coil designs of Qi, which allows for fine-grained device fingerprinting. Our results show that QID achieves high recognition accuracy. With the prevalence of public wireless charging stations, our results also have important implications for mobile user privacy.