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.
SELFY toolbox can define a collaborative environment between the different tools to respond to new threats, risks and attacks that come up in the future, facilitating the comprehension of new challenges in the domain of security and cybersecurity of CCAMs.
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.
The European SELFY project is to develop a self-assessment and self-protection toolbox to enhance the security and resilience of Connected, Cooperative and Automated Mobility (CCAM) systems against potential cyber-attacks and malicious actions. This is at a time when around 50 million connected and automated cars are expected to be on the road in Europe by 2026.
SELFY project partners Mischa Huisman and Carlos Murguia from the Dynamics & Control group at Eindhoven University of Technology (TUE) presented a study on controller realisations against false data injection at the 63rd IEEE Conference on Decision and Control (CDC 2024)
SELFY project partners Mischa Huisman and Carlos Murguia from the Dynamics & Control group at Eindhoven University of Technology (TUE) presented a study on controller realisations against false data injection at the 63rd IEEE Conference on Decision and Control (CDC 2024)
SELFY project partners from CEA presented a new lightweight algorithm for detecting dynamic obstacles at IEEE Sensors Conference 2024
