汽车工业
计算机科学
杠杆(统计)
计算机安全
撞车
远程信息处理
电子控制单元
汽车工程
工程类
电信
机器学习
航空航天工程
程序设计语言
作者
Karl Koscher,Alexei Czeskis,Franziska Roesner,Shwetak Patel,Tadayoshi Kohno,Stephen Checkoway,Damon McCoy,Brian Kantor,Danny Anderson,Hovav Shacham,Stefan Savage
出处
期刊:IEEE Symposium on Security and Privacy
日期:2010-01-01
卷期号:: 447-462
被引量:1723
摘要
Modern automobiles are no longer mere mechanical devices; they are pervasively monitored and controlled by dozens of digital computers coordinated via internal vehicular networks. While this transformation has driven major advancements in efficiency and safety, it has also introduced a range of new potential risks. In this paper we experimentally evaluate these issues on a modern automobile and demonstrate the fragility of the underlying system structure. We demonstrate that an attacker who is able to infiltrate virtually any Electronic Control Unit (ECU) can leverage this ability to completely circumvent a broad array of safety-critical systems. Over a range of experiments, both in the lab and in road tests, we demonstrate the ability to adversarially control a wide range of automotive functions and completely ignore driver input\dash including disabling the brakes, selectively braking individual wheels on demand, stopping the engine, and so on. We find that it is possible to bypass rudimentary network security protections within the car, such as maliciously bridging between our car's two internal subnets. We also present composite attacks that leverage individual weaknesses, including an attack that embeds malicious code in a car's telematics unit and that will completely erase any evidence of its presence after a crash. Looking forward, we discuss the complex challenges in addressing these vulnerabilities while considering the existing automotive ecosystem.
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