mchinni@optonline.net
Date: Mon, 8 Jan 2018 13:51:08 -0500
"These three hypothetical scenarios-posited in a new white paper by
University of Michigan researchers working with Mcity-illustrate 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."
http://ns.umich.edu/new/releases/25354-cybersecurity-in-self-driving-cars-u- m-releases-threat-identification-tool