关于无线电签名,以减轻MAC地址随机化的Wi-Fi分析在现实世界的场景

Abraham Pérez-Hernández, Maydelis N. Barreras-Martín, Jesús Fernandez-Manzano, Pablo Aguilera
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引用次数: 0

摘要

当未连接的Wi-Fi设备不断更改其MAC地址以混淆分析系统时,就会发生MAC随机化。对于建立基于存在、位置和跟踪数据的服务来说,这是一个真正的挑战,因为这些信息由于产生的失真而毫无用处。这个贡献旨在通过为这些未连接的Wi-Fi设备构建唯一、稳定和可靠的标识符来缓解这个问题。我们提出了一种基于探测请求帧构建标识符的新系统。此外,我们提出了(据我们所知)对这类系统的准确性进行的最详尽的实地研究,其中包括实际用户和实际设备的操作。在这项研究中,我们将在校园建筑中进行的手部计数与MAC去随机化系统自动完成的计数进行了比较,获得了87%到95%的准确率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On radio signatures to mitigate the MAC addresses randomization for Wi-Fi analytics in real-world scenarios
MAC randomization occurs when non-connected Wi-Fi devices continuously change their MAC address to confuse analytics systems. It is a real challenge for building services based on presence, location, and tracking data since the information is useless due to the produced distortion. This contribution aims to mitigate this problem by constructing unique, stable, and reliable identifiers for these non-connected Wi-Fi devices. We propose a new system that builds identifiers based on the Probe Request frames. In addition, we present what is (to the best of our knowledge) the most exhaustive field study on the accuracy of this type of system with real users and real devices in operation. In this study, we compare the hand count performed in a campus building with the count done automatically by our MAC de-randomization system, obtaining an accuracy between 87 and 95%.
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