Lightning Talk: On-Road Driver Identification Dataset with CyberAttack
summary
A naturalistic on-road dataset records responses to an instrument-cluster cyber attack where researchers inject bogus CAN messages via a MITM CAN fuzzing setup and log vehicle kinematics with a race logic vbox plus embedded Linux and microcontroller recorders and Empatica dermal sensors. Across 50 participants split into control, aware, and coached groups, awareness increases stopping probability, coaching has a larger effect, professional drivers stop more but show no reaction-time difference, and the data set is published for reuse.
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