Innovating Works

CARAMEL

Financiado
Artificial Intelligence based cybersecurity for connected and automated vehicles
The damaging effects of cyberattacks to an industry like the Cooperative Connected and Automated Mobility (CCAM) can be tremendous. From the least important to the worst ones, one can mention for example the damage in the reputati... The damaging effects of cyberattacks to an industry like the Cooperative Connected and Automated Mobility (CCAM) can be tremendous. From the least important to the worst ones, one can mention for example the damage in the reputation of vehicle manufacturers, the increased denial of customers to adopt CCAM, the loss of working hours (having direct impact on the European GDP), material damages, increased environmental pollution due e.g., to traffic jams or malicious modifications in sensors’ firmware, and ultimately, the great danger for human lives, either they are drivers, passengers or pedestrians. 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 to commercial anti-hacking IDS/IPS products for the European automotive cybersecurity and to demonstrate their value through extensive attack and penetration scenarios. ver más
30/06/2022
I2CAT
7M€
Duración del proyecto: 33 meses Fecha Inicio: 2019-09-27
Fecha Fin: 2022-06-30

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2022-06-30
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
SU-ICT-01-2018: Dynamic countering of cyber-attacks
Cerrada hace 6 años
Presupuesto El presupuesto total del proyecto asciende a 7M€
Líder del proyecto
FUNDACIO PRIVADA I2CAT INTERNET I INNOVACIO D... No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 2-3 34M