Driver Authentication in VANETs based on Intra-Vehicular Sensor Data

The research community has been investigating the potential of processing and wireless communication of vehicles in a transportation system. In this case, VANETs aim to exploit the communication and sensing capabilities of vehicles to feed data into applications and services. VANETs also contribute to the improvement of Advanced Driver Assistant Systems and Intelligent Transportation Systems, which aim to provide services to users such as safer and more comfortable trips. Many of these systems need to authenticate their users, but they do so in a way that an attacking driver can use them. This work explores the driver identification as an extra authentication factor to local services and vehicular networks. In this respect, a virtual sensor was developed to determine the driver's identity, with precision above 98% in our experiments, using embedded sensor data. This virtual sensor was also used to identify a suspected driver. Besides, based on the suspect's identification, we discuss the impacts of these drivers in the data dissemination in a vehicular network.