Impact of Wiring Characteristics on Voltage-based Fingerprinting in Controller Area Networks

L. Popa, Camil Jichici, Tudor Andreica, Pal-Stefan Murvay, B. Groza
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Abstract

Voltage patterns generated by Controller Area Network (CAN) nodes have been commonly proposed as a source for sender identification as this exposes fine grain manufacturing characteristics. However, the influence of wiring on voltage patterns was insufficiently studied so far and it may be critical in understanding the accuracy of the fingerprinting process. Here we study the influence of wiring on three voltage characteristics: slew rate distribution of recessive to dominant transitions, peak-to-peak and peak-to-root mean square distributions on the plateau area of a dominant bit. Using collected voltage data, we identify slew rate variations depending on the wiring used in each experimental setup. Voltage patterns collected in a laboratory setup with automotive grade cables seem to be identical with those from real-world vehicles, which suggests that this type of cables should be used for realistic experiments.
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控制器局域网中布线特性对电压指纹识别的影响
控制器局域网(CAN)节点产生的电压模式通常被提议作为发送方识别的来源,因为这暴露了细粒度制造特性。然而,到目前为止,接线对电压模式的影响还没有得到充分的研究,这可能是理解指纹识别过程准确性的关键。在这里,我们研究了接线对三个电压特性的影响:隐性到显性转换的摆率分布、峰值到峰值和峰值到均方根分布在显性位的平台区域。使用收集到的电压数据,我们根据每个实验装置中使用的接线确定摆压率变化。用汽车级电缆在实验室设置中收集的电压模式似乎与现实世界中车辆的电压模式相同,这表明这种类型的电缆应该用于现实实验。
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