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

SELFY envisions an agnostic toolbox for the self-management of security and resilience of the CCAM (Connected, Cooperative and Automated Mobility) ecosystem, which can be easily deployed to extend the current Operational Design Domain (ODD), providing self-awareness, self-resilience and self-healing mechanisms and enhancing trust between stakeholders. SELFY is based on four pillars: Situational awareness, Resilience, Secure Data Sharing and Trust and provides three groups of tools. SACP (Situational Awareness and Collaborative Perception) tools aim at providing all CCAM actors with a comprehensive understanding of their environment, i.e., the perception of objects, such as other traffic participants and stationary objects. CRHS (Cooperative Resilience and Healing System) tools enable self-protection actions whenever a compromising situation is detected in relation to assets, vehicles, operations, or the system itself. TDMS (Trust and Data Management System) tools establish a secure and trusted environment for data in a collaborative and cooperative context, both for infra-structure and assets, as well as for citizen's data, such as drivers or pedestrians with special attention to privacy considerations. By defining a collaborative environment between the different tools to respond to new threats, risks and attacks SELFY facilitates the comprehension of new challenges in the cybersecurity aspect of CCAMs.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-11
DOI
https://doi.org/10.5281/zenodo.10978182
Primary Topic
Criminal Law and Policy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Zenodo (CERN European Organization for Nuclear Research)
Criminal Law and Policy
article

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

article en

Abstract

SELFY envisions an agnostic toolbox for the self-management of security and resilience of the CCAM (Connected, Cooperative and Automated Mobility) ecosystem, which can be easily deployed to extend the current Operational Design Domain (ODD), providing self-awareness, self-resilience and self-healing mechanisms and enhancing trust between stakeholders. SELFY is based on four pillars: Situational awareness, Resilience, Secure Data Sharing and Trust and provides three groups of tools. SACP (Situational Awareness and Collaborative Perception) tools aim at providing all CCAM actors with a comprehensive understanding of their environment, i.e., the perception of objects, such as other traffic participants and stationary objects. CRHS (Cooperative Resilience and Healing System) tools enable self-protection actions whenever a compromising situation is detected in relation to assets, vehicles, operations, or the system itself. TDMS (Trust and Data Management System) tools establish a secure and trusted environment for data in a collaborative and cooperative context, both for infra-structure and assets, as well as for citizen's data, such as drivers or pedestrians with special attention to privacy considerations. By defining a collaborative environment between the different tools to respond to new threats, risks and attacks SELFY facilitates the comprehension of new challenges in the cybersecurity aspect of CCAMs.

Zenodo (CERN European Organization for Nuclear Research)
Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), TDF (France) (FR), Music and Arts University of the City of Vienna (AT), Laboratoire d'Intégration des Systèmes et des Technologies (FR), Technische Hochschule Ingolstadt (DE), Virtual Vehicle Research GmbH (Austria) (AT), Tecnalia (ES), Canon (France) (FR), Association of Electronic and Information Technologies (ES), FEV (Germany) (DE), RMIT Europe (ES), Ficosa International (Spain) (ES), Applus+ IDIADA (Spain) (ES), Eindhoven University of Technology (NL)
Openalex Percentile: Top 44%
Criminal Law and Policy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

SELFY - Self Assessment, Protection & Healing Tools for a Trustworthy and Resilient CCAM · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS