The SELFY project develops a toolbox made up of collaborative solutions with the objective to improve the resilience of the Cooperative Connected Automated Mobility sector.
The project will conduct research and development on algorithms and technologies to build a set of tools to improve CCAM resilience and guarantee data security and privacy when different data is shared.
SELFY’s main goal is to promote a safe and secure operation amongst CCAM vehicles and mobility systems and services, enhancing trust and end-user adoption of CCAM solutions.
Cooperative Connected and Automated Mobility (CCAM) is one of the next big trends in the automotive industry which has the potential to improve transport sector in Europe, leading to a healthier, safer, more accessible, sustainable, cost-effective and demand-responsive transport everywhere and for everyone.
CCAM will become a reality in the coming years thanks to improved connectivity and digitalisation. This will give rise to new cyberattack problems becoming new challenges in the cybersecurity domain.
In Europe, 50 million connected and automated cars are expected to be in circulation by 2026. The EU requires that these vehicles have cybersecurity certificates.
In this scenario, SELFY’s main ambition is to become the main European provider of collaborative tools for the self-management of security and resilience of the CCAM sector, facilitating its adoption at all stages of the value chain.
SELFY solutions will be firstly validated in a lab environment and after this, 3 scenarios in real and controlled environments will be built to demonstrate the toolbox performance in a collaborative and cooperative manner.
SELFY is a collaborative project with a multidisciplinary team with different capacities and knowledge in disciplines ranging from cybersecurity, Artificial Intelligence, automation of systems and decision-making, ethics, traffic management and standardization.
The project is coordinated by Eurecat Technology Centre.
SELFY project partner AEVAC participated in a round table on accessibility and artificial intelligence in autonomous vehicles organized by Ceapat-Imserso.
SELFY members from Technische Hochschule Ingolstadt (THI) presented two papers on the project’s VSOC at the SECURWARE 2024.
SELFY partner from Canon Research Centre France, Maxime Cancouët, presented a project-related paper at the 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), held in Washington DC, USA, on 7-10 October 2024.
SELFY partner and Vice President of Technische Hochschule Ingolstadt (THI), Dr. -Ing. Hans-Joachim Hof, presented SELFY’s Vehicle Security Operation Center (VSOC) at the International ICT Summer School
