Motion Conflict Detection in the Smart Tachograph

D. Borio, E. Cano, G. Baldini
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引用次数: 1

Abstract

The Smart Tachograph (ST), the new revision of the Digital Tachograph (DT), has to verify periodically the consistency of data from different sensors in order to mitigate the risks of frauds. In this respect, a test procedure is specified for the detection of motion conflicts originating from inconsistencies between Global Navigation Satellite System (GNSS) and odometry data. This paper provides an experimental evaluation of the motion conflict detection procedure specified by the ST regulation. Several hours of data were collected using two vehicles equipped with a multi-constellation GNSS receiver and an On-Board Diagnostics (OBD) data reader. The data collected were then used to implement the tests prescribed by the ST regulation and evaluate their effectiveness. The analysis shows that the new regulation significantly strengthens the DT against possible attacks, such as GNSS meaconing. In particular, an attacker is forced to falsify data simultaneously and coherently from both the vehicle sensor and the GNSS receiver. Moreover, it is shown that the metrics selected for the tests are resilient to data gaps and relative delays between GNSS and odometer data.
智能行车记录仪中的运动冲突检测
智能行车记录仪(ST)是数字行车记录仪(DT)的新版本,必须定期验证来自不同传感器的数据的一致性,以减轻欺诈风险。在这方面,指定了一个测试程序,用于检测由于全球导航卫星系统(GNSS)和里程计数据之间的不一致而引起的运动冲突。本文对ST规则规定的运动冲突检测程序进行了实验评估。使用配备多星座GNSS接收器和车载诊断(OBD)数据读取器的两辆车辆收集了几个小时的数据。收集的数据然后用于实施ST法规规定的测试并评估其有效性。分析表明,新规定大大加强了DT对可能的攻击的防范,例如GNSS攻击。特别是,攻击者被迫同时和相干地伪造来自车辆传感器和GNSS接收器的数据。此外,研究表明,为测试选择的指标对GNSS和里程表数据之间的数据差距和相对延迟具有弹性。
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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