Forensic identification of GSM mobile phones

Jakob Hasse, Thomas Gloe, Martin Beck
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引用次数: 29

Abstract

With the rapid growth of GSM telecommunication, special requirements arise in digital forensics to identify mobile phones operating in a GSM network. This paper introduces a novel method to identify GSM devices based on physical characteristics of the radio frequency hardware. An implementation of a specialised receiver software allows passive monitoring of GSM traffic along with physical layer burst extraction even for handover and frequency hopping techniques. We introduce time-based patterns of modulation errors as a unique device-dependent feature and carefully remove random effects of the wireless communication channel. Using our characteristics, we could distinguish 13 mobile phones at an overall success rate of 97.62% under real-world conditions. This work proves practical feasibility of physical layer identification scenarios capable of tracking or authenticating GSM-based devices.
GSM移动电话的法医鉴定
随着GSM通信的快速发展,对在GSM网络中运行的移动电话的数字取证提出了特殊的要求。介绍了一种基于射频硬件物理特性识别GSM设备的新方法。一种专门的接收机软件的实现允许对GSM流量进行被动监控,甚至可以对切换和跳频技术进行物理层突发提取。我们引入基于时间的调制误差模式作为独特的设备相关特征,并仔细去除无线通信信道的随机效应。使用我们的特征,我们可以在真实条件下区分13部手机,总体成功率为97.62%。这项工作证明了能够跟踪或验证基于gsm的设备的物理层识别场景的实际可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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