RF fingerprinting of users who actively mask their identities with artificial distortion
RF fingerprinting of users who actively mask their identities with artificial distortion
复制标题
对通过人工失真主动掩盖身份的用户进行射频指纹识别
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
D. Goeckel
中科院分区：
文献类型：
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作者：
A. Polak;D. Goeckel
由制造过程的缺陷引起的无线电发射机的RF链中的变化可以用作将无线设备与给定传输唯一地关联的签名。在我们以前的工作[1]，[2]中，我们提出了一种基于模型的方法，该方法允许通过对从伪装用户接收的信号进行时域分析来识别具有可验证准确性的无线用户。在这里，更复杂的犯罪分子，当伪装，故意引入非线性失真的数据符号，以伪造他们的签名，同时允许正确的数据解码，被认为是第一次。在这项工作中提出的方法是基于频谱分析和观察，即非线性分量引起基带失真和频谱再生的信号，这是依赖于非线性的参数。因此，通过分析频谱的带内失真以及频谱再生，即使当伪装用户非线性地修改其数据符号时，也可以成功地识别伪装用户。使用商业使用的RF发射机的测量获得的参数，我们证明了我们的方法的实用性。
Variations in the RF chain of radio transmitters caused by imperfections of manufacturing processes can be used as a signature to uniquely associate wireless devices with a given transmission. In our previous work [1], [2] we proposed a model based approach that allows for identification of wireless users with verifiable accuracy via time domain analysis of the signals received from the masquerading users. Here, more sophisticated criminals that, when masquerading, intentionally introduce nonlinear distortions to the data symbols in order to fake their signatures while allowing for proper data decoding, are considered for the first time. The method proposed in this work is based on spectral analysis and on the observation that nonlinear components cause baseband distortion and spectral regrowth of the signal that is dependent on the parameters of the nonlinearity. Hence, by analysis of the in-band distortion of the spectrum as well as the spectral regrowth, the masquerading users can be successfully identified even when they are nonlinearly modifying their data symbols. Using parameters obtained from the measurements of commercially used RF transmitters, we demonstrate the utility of our approach.