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Conference object . 2024
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TRA2024 Poster - SELFY - Self Assessment, Protection & Healing Tools for a Trustworthy and Resilient CCAM

Authors: Jimenez, Victor; Reyes de los Mozos, Mario; Perea Paños, Pau; Fritzsche, Paula Cecilia; Gomez Buquerin, Kevin; Volkersdorfer, Tina; Hof, Hans-Joachim; +22 Authors

TRA2024 Poster - SELFY - Self Assessment, Protection & Healing Tools for a Trustworthy and Resilient CCAM

Abstract

Cooperative Connected Automated Mobility (CCAM) will improve the mobility ecosystem of millions of citizens in Europe and around the world. However, as defined by the CCAM’s SRIA[1] (Strategic Research and Innovation Agenda), Key Enabling Technologies such as cybersecurity are required to provide robustness and resilience. SELFY tools provide a partial solution but go beyond by proposing a collaborative environment between all CCAM elements by sharing and fusing data and increasing the awareness, robustness and trust of the overall CCAM system. SELFY researches and implements a set of tools that are agnostic to OEMs and suppliers, being easily integrated in service and product development processes from the design stage, considering the full ODD of the different CCAM scenarios. SELFY’s solution has the goal to promote an improvement of the effectiveness rate in detecting vulnerable vehicles and security breaches.

This project has received funding from the Horizon Europe programme under grant agreement No. 101069748.

Keywords

Cooperative Connected Automated Mobility (CCAM), Cybersecurity, Situational Awareness, Resilience, Privacy, Self-Management Security, Trust

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green