The Horizon 2020 project CARAMEL, led by the i2CAT Foundation, has shared the first results obtained from the development of anti-hacking solutions for the new generation of vehicles. The project, running from October 2019 to June 2022, is applying a proactive approach based on Artificial Intelligence and Machine Learning techniques to detect and prevent potential cybersecurity threats to autonomous and connected vehicles. After successfully completing its first period, CARAMEL has now released a series of video demonstrations, each focusing on a different system developed within the project, and will conduct an online workshop for Original Equipment Manufacturers (OEM) to discuss these results.
The videos produced by the CARAMEL partners introduce the different systems developed for two pillars addressed by the project. In pillar 1—Autonomous Mobility—the project has developed an anti-hacking device that uses machine learning to detect attacks against the sensors in the vehicle. In this regard, the systems presented in the demonstration videos extend the anti-hacking device capabilities by addressing potential threats such as location spoofing, traffic sign anomalies, and attacks on the camera sensor, and by providing improved situational awareness.
Likewise, CARAMEL’s pillar 2—Connected Mobility—focuses on developing advanced attack detection technologies for connected vehicles. To this end, i2CAT is implementing vehicle-to-everything (V2X) protocols between cars and other vehicles—Onboard Units (OBU)—and communication units located aside the road—Road Side Units (RSU). Additionally, CARAMEL is introducing a solution based on a collaborative effort among vehicles for identifying GPS spoofing attacks.
These and other results from the project will be presented during the 2nd OEM & Partner Workshop to be held on 16 November, from 14:00 to 17:00 CET. The workshop is an exclusive, hand-picked, round table style meeting to collect perspectives and views on the topics and solutions developed by CARAMEL.