QID:基于多线圈qi无线充电系统的稳健移动设备识别

IF 3.5 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Internet of Things Pub Date : 2022-03-17 DOI:10.1145/3498904
Deliang Yang, Guoliang Xing, Jun Huang, Xiangmao Chang, Xiaofan Jiang
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引用次数: 0

摘要

近年来,无线充电基站在工作场所和公共场所(如机场和自助餐厅)的普及率越来越高。这种新兴的无线充电基础设施为移动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,这是第一个能够在无线充电过程中实时识别符合qi标准的移动设备的系统。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器件进行分类。QID采用二维运动单元来模拟Qi的各种多线圈设计,从而允许细粒度的设备指纹识别。结果表明,QID具有较高的识别精度。随着公共无线充电站的普及,我们的研究结果也对移动用户隐私具有重要意义。
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QID: Robust Mobile Device Recognition via a Multi-Coil Qi-Wireless Charging System
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.
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CiteScore
5.20
自引率
3.70%
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