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QID: Identifying Mobile Devices via Wireless Charging Fingerprints

机译:Qid:通过无线充电指纹识别移动设备

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Recent years have witnessed the increasing penetration of wireless charging base stations in the workplace and public areas, such as airports and cafeteria. 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 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.
机译:近年来,工作场所和公共区域的无线充电基站的普及日益增长,如机场和自助餐厅。 这种新兴的无线收费基础设施为移动用户提供了新的室内本地化和识别服务的机会。 在本文中,我们呈现QID,这是一个可以在实时无线充电期间识别符合齐全的移动设备的第一系统。 Qid从电源接收器的时钟振荡器和控制方案提取功能,采用轻量级算法来对设备进行分类。 Qid采用二维运动单元,模拟QI的各种多线圈设计,这允许细粒度的装置指纹识别。 我们的研究结果表明,QID达到了高度识别准确性。 随着公共无线充电站的普及,我们的结果也对移动用户隐私具有重要意义。

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