Coordinated by i2CAT
Started at: 01-10-2019
Ends on: 30-06-2022
Budget: € 6,633,505,18
Areas: 5G & IoT - Software Networks
CARAMEL’s goal is to proactively address modern vehicle cybersecurity challenges applying advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques and also to continuously seek methods to mitigate associated safety risks.
In order to address cybersecurity considerations for the already here autonomous and connected vehicles, well-established methodologies coming from the ICT sector will be adopted, allowing to assess vulnerabilities and potential cyberattack impacts. Although past initiatives and cybersecurity projects related to the automotive industry have reached to security assurance frameworks for networked vehicles, several newly introduced technological dimensions like 5G, autopilots, and smart charging of Electric Vehicles (EVs) introduce cybersecurity gaps, not addressed satisfactorily yet. Considering the entire supply chain of automotive operations, CARAMEL targets to reach commercial anti-hacking IDS/IPS products for the European automotive cybersecurity and to demonstrate their value through extensive attack and penetration scenarios.
In early 2018, the World Economic Forum in Davos announced the most serious global risks. The four risks listed were extreme weather events, natural disasters, environmental degradation, and cyber-attacks. These attacks cause the most anxiety for entrepreneurs in developed countries. The anxiety surrounding cyber-security is based on people’s reliance on digital technology. By 2020, experts expect humans to be using 20 billion connected devices, which will doubtlessly create more opportunities for cyber-attacks.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 833611