GSM设备物理层识别的探讨

Davide Zanetti, Vincent Lenders, Srdjan Capkun
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引用次数: 15

摘要

本文主要研究GSM设备的物理层识别。为了进行探索,我们构建了一个在语音通话期间收集GSM信号的临时采集设置。我们从18个移动设备中收集信号,并通过考虑采集信号的瞬态部分和数据部分来构建指纹。研究结果表明,利用瞬态指纹技术可以对不同型号和制造商的设备进行高精度识别(识别误差为0%)。同一型号和制造商的设备也可以通过使用基于瞬态的指纹来识别:根据所考虑的设备集,我们发现识别误差在0到8%之间。我们还发现,构建的基于瞬态的指纹对设备传输功率敏感,但对于我们的采集设置天线而言,仅部分对设备位置敏感。这可能启用防御性(例如,访问控制)应用程序。虽然相对于基于瞬态指纹的准确性较低,但基于数据的指纹也可用于识别相同型号和制造商的设备。然而,这些似乎是敏感的设备位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Physical-layer Identification of GSM Devices
In this work, we study the physical-layer identification of GSM devices. For our exploration, we build an ad-hoc acquisition setup that collects GSM signals during voice calls. We collect signals from a population of 18 mobile devices and build fingerprints by considering both the transient and the data parts of the acquired signals. Our results show that devices of different models and manufacturers can be identified with high accuracy (0% identification error) by exploiting transient-based fingerprints. Same model and manufacturer devices could also be identified by using transient-based fingerprints: we find an identification error between 0 and 8% depending on the considered device set. We also find that the built transient-based fingerprints are sensitive to the device transmission power, but only partially to the device position with respect to our acquisition setup antenna. This possibly enables defensive (e.g., access control) applications. Although with less accuracy with respect to transient-based fingerprints, data-based fingerprints could also be used to identify same model and manufacturer devices. However, these seem to be sensitive to the device position.
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