Simulation of Automotive Security Threat Warnings to Analyze Driver Interpretations and Emotional Transitions

Techniques for utilizing classification towards securing automotive controller area network and machine learning towards the reverse engineering of CAN messages

“…The attacks demonstrated by these works [38,9,52,1,18,96,90] can be broken down into the following categories:…”