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引用次数: 0

摘要

随着现代车辆与外界的接触越来越多,人们为提高车载控制器区域网络(CAN)的安全性做了很多努力。这些努力面临着巨大的挑战,因为存储车辆驾驶状态的CAN信号被编码成特定的格式,从而使研究人员无法理解其含义。不幸的是,包含这些编码模式的数据库CAN(DBC)文件由汽车制造商严格保密。目前,已经进行了许多工作来逆向工程CAN信号。然而,通过我们的实验,这些研究表明,在识别CAN信号的边界高度不准确。在本文中,我们提出了一种基于邻接比特变化率(ACR)度量的先进CAN信号逆向工程方案ACRE。使用ACR, ACRE自动分割CAN数据字段。在ACR的启发下,我们进一步提出了对角比特变化率(DCR)来确定CAN信号的端序,从而实现信号的提取和签名识别。经过真实数据集和相应DBC的验证,ACRE实现了100%的覆盖,并且在4个真实汽车数据集上进行了大量的实验,证明了其车系兼容性。
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ACRE: An Advanced CAN Signal Reverse Engineering Scheme
As modern vehicles become more exposed to the outside world, many efforts have been made to enhance the security of in-vehicle Controller Area Network(CAN). These efforts are facing significant challenges, because the CAN signals that store the driving status of vehicle are encoded into specific format, thus preventing researchers from understanding its meaning. Unfortunately, the Database CAN(DBC) file that contain these encoding patterns are kept strictly confidential by the car manufacturer. Currently, many work has been conducted to reverse engineer CAN signals. However, through our experiments, these studies have shown highly inaccuracy in identifying the boundary of CAN signals. In this paper, we propose ACRE, an advanced CAN signal reverse engineering scheme based on a novel metric of adjacent-bit changing rate (ACR). With ACR, ACRE automatically segments CAN data field. Inspired by ACR, we further present Diagonal-bit Changing Rate (DCR) to determine the endianness of CAN signal, thus accomplishing signal extraction and signedness discrimination. Verified by real-world dataset and corresponding DBC, ACRE achieves 100% coverage, and its vehicle-series compatibility have been proven by extensive experiments on 4 datasets of real car.
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