CARAMEL: results on a secure architecture for connected and autonomous vehicles detecting GPS spoofing attacks

Abstract The main goal of the H2020-CARAMEL project is to address cybersecurity gaps introduced by new technological domains adopted modern vehicles applying, among others, advanced Artificial Intelligence and Machine Learning techniques. As a result, CARAMEL enhances protection against threats related automated driving, smart charging Electric Vehicles, communication or between roadside infrastructure. This work focuses on latter presents architecture aiming at assessing integrity information transmitted vehicles, as well improving security privacy for connected autonomous driving. proposed includes: (1) multi-radio access technology capabilities, with simultaneous 802.11p LTE-Uu support, enabled connectivity infrastructure; (2) MEC platform, where, algorithms detecting attacks are implemented; (3) an intelligent On-Board Unit anti-hacking features inside vehicle; (4) Public Key Infrastructure that validates in real-time vehicle’s data transmissions. indicative application, interaction entities showcased case GPS spoofing attack scenario. Adopted detection techniques exploit robust in-vehicle cooperative approaches do not rely encrypted signals, but only measurements available architecture.