A vehicle-to-infrastructure authentication scheme adds a visible-light second factor: the car's headlights flash a 14-bit pattern that a SlowFast neural network decodes, with average test accuracy of 95 percent (RC car) and 96.6 percent (real car).
An innovative attack modeling and attack detection approach for a waiting time-based adaptive traffic signal controller,
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Vehicular Communication Security: Multi-Channel and Multi-Factor Authentication
A vehicle-to-infrastructure authentication scheme adds a visible-light second factor: the car's headlights flash a 14-bit pattern that a SlowFast neural network decodes, with average test accuracy of 95 percent (RC car) and 96.6 percent (real car).