U-M releases tool to assess cybersecurity in self-driving cars

By | January 8, 2018
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virtual cars on track

(Steve Alvey, Michigan Engineering)

A new white paper by U-M researchers working with Mcity illustrates the breadth of the cybersecurity challenges that must be overcome before autonomous and connected vehicles can be widely adopted. While every new generation of auto tech brings new security risks, the vulnerabilities that come along with advanced mobility are both unprecedented and under-studied, the paper states.

The white paper introduces a tool called the Mcity Threat Identification Model, which could help academic and industry researchers analyze the likelihood and severity of potential threats. The new model outlines a framework for considering: the attacker’s skill level and motivation; the vulnerable vehicle system components; the ways in which an attack could be achieved; and the repercussions, including for privacy, safety and financial loss. The tool is believed to be the first of its kind focused on automated vehicles. Mcity, led by U-M, is the nation’s largest public-private partnership working to advance connected and automated mobility.