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CARAMEL

Financiado

Cerrado

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... ver más

30/06/2022

I2CAT

7M€

Presupuesto del proyecto: 7M€

Líder del proyecto

FUNDACIO PRIVADA I2CAT INTERNET I INNOVACIO D... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 34M€

Fecha límite participación Sin fecha límite de participación.

Ver 23 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2022-06-30

SU-ICT-01-2018: Dynamic countering of cyber-attacks

I+D

Cerrada hace 6 años

0% 71% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

23 Participantes

I2CAT

514.98K€ | Lider

FAGOR AUTOMATION

1.15M€ | Participante

Ubiwhere

328.00K€ | Participante

PANASONIC AUTOMOTIVE SYSTEMS...

482.57K€ | Participante

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Duración del proyecto: 33 meses Fecha Inicio: 2019-09-27
Fecha Fin: 2022-06-30

Líder del proyecto

FUNDACIO PRIVADA I2CAT INTERNET I INNOVACIO D... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 34M€

Presupuesto del proyecto 7M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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