Autenticação Comportamental de Motoristas em Redes Veiculares

• Paulo H. L. Rettore UFMG
• André B. Campolina UFMG
• Artur Souza UFMG
• Guilherme Maia UFMG
• Leandro A. Villas UNICAMP
• Antonio A. F. Loureiro UFMG

DOI: https://doi.org/10.5753/sbrc.2018.2444

Abstract

The community has discussed the potential of processing and wireless communication of vehicles in a transportation system. In this sense, VANETs aim to exploit the communication and sensing capabilities of vehicles to feed data into applications and services. VANETs also contribute to the emergence of ADAS and ITS, which seek to provide services to users as safety and less tiring 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. Then, a virtual sensor was developed to determine the driver identity, with precision above 98%, using embedded sensor data. This sensor was also used to identify driver suspects. Besides, based on the suspect's identification, we discuss the impacts of these drivers in the data dissemination in a vehicular network.

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