Borio Daniele, Gioia Ciro, Cano Pons Eduardo, Baldini Gianmarco
European Commission, Joint Research Centre (JRC), Directorate for Space, Security and Migration, 21027 Ispra (VA), Italy.
Sensors (Basel). 2017 Sep 15;17(9):2120. doi: 10.3390/s17092120.
Falsifying Global Navigation Satellite System (GNSS) data with a simulator or with a fake receiver can have a significant economic or safety impact in many transportation applications where Position, Velocity and Time (PVT) are used to enforce a regulation. In this context, the authentication of the source of the PVT data (i.e., the GNSS receiver) is a requirement since data faking can become a serious threat. Receiver fingerprinting techniques represent possible countermeasures to verify the authenticity of a GNSS receiver and of its data. Herein, the potential of clock-derived metrics for GNSS receiver fingerprinting is investigated, and a filter approach is implemented for feature selection. Novel experimental results show that three intrinsic features are sufficient to identify a receiver. Moreover, the adopted technique is time effective as data blocks of about 40 min are sufficient to produce stable features for fingerprinting.
使用模拟器或伪造接收器伪造全球导航卫星系统（GNSS）数据，在许多使用位置、速度和时间（PVT）来执行规定的运输应用中，可能会产生重大的经济或安全影响。在这种情况下，由于数据伪造可能成为严重威胁，因此对PVT数据来源（即GNSS接收器）进行认证是一项必要要求。接收器指纹识别技术是验证GNSS接收器及其数据真实性的可能对策。本文研究了基于时钟的指标用于GNSS接收器指纹识别的潜力，并实现了一种用于特征选择的滤波方法。新的实验结果表明，三个固有特征足以识别一个接收器。此外，所采用的技术具有时间效率，因为大约40分钟的数据块足以产生用于指纹识别的稳定特征。
