Towards a Testbed for Automotive Cybersecurity

D. S. Fowler, Madeline Cheah, S. Shaikh, J. Bryans
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引用次数: 38

Abstract

Modern automotive platforms are cyber-physical in nature and increasingly connected. Cybersecurity testing of such platforms is expensive and carries safety concerns, making it challenging to perform tests for vulnerabilities and refine test methodologies. We propose a testbed, built over a Controller Area Network (CAN) simulator, and validate it against a real-world demonstration of a weakness in a test vehicle using aftermarket On Board Diagnostic (OBD) scanners (dongles).
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迈向汽车网络安全测试平台
现代汽车平台本质上是网络物理的,互联程度越来越高。此类平台的网络安全测试成本高昂,而且存在安全隐患,因此对漏洞进行测试和改进测试方法具有挑战性。我们提出了一个测试平台,建立在控制器局域网(CAN)模拟器上,并使用售后车载诊断(OBD)扫描仪(加密狗)对测试车辆的实际弱点进行验证。
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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