A EUROPEAN CYBER RESILIENCE FRAMEWORK WITH ARTIFICIAL INTELLIGENCE -ASSISTED ORCHESTRATION & AUTOMATION FOR BUSINESS CONTINUITY, INCIDENT RESPONSE & INFORMATION EXCHANGE

Información del proyecto

PHOENI2X

Identificador del acuerdo de subvención: 101070586

DOI

10.3030/101070586

Proyecto cerrado

Fecha de la firma de la CE 21 Junio 2022

Fecha de inicio 1 Julio 2022

Fecha de finalización 30 Junio 2025

Financiado con arreglo a

• Civil Security for Society

Coste total

€ 4 820 000,00

Aportación de la UE

€ 4 820 000,00

Coordinado por

PANEPISTIMIO PATRON
Greece

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Documents, reports (2)

Final Report on Dissemination, Exploitation, Standardisation & Sustainability

Report on all WP6 activities for the second reporting period of the project.

Interim report on Dissemination, Exploitation, Standardisation & Sustainability

Report on all WP6 activities for the first reporting period of the project

Other (6)

Coordinated Response & Preparedness Enablers v1

The first version of the tools for coordinated response and preparedness.

AI-assisted Situational Awareness, Prediction & Response Enablers v2

The second and final version of AI-assisted Situational Awareness, Prediction & Response enablers

Baseline Enablers

Provides all the baseline tools for PHOENi²X.

AI-assisted Situational Awareness, Prediction & Response Enablers v1

The first version of AI-assisted Situational Awareness, Prediction & Response enablers

Coordinated Response & Preparedness Enablers v2

The second and final version of the tools for coordinated response and preparedness.

PHOENi²X framework - MVP

The first (MVP) version of the integrated PHOENi²X framework.

Publicaciones

Conference proceedings (5)

A Deep Learning Framework for Safety Monitoring of a Railway Section

Autores: F. Z. Chriki, E. Simó, F. Aguiló, I. Garcia-Milà, X. Masip
Publicado en: 2024 IEEE International Conference on Cyber Security and Resilience (CSR), 2024
Editor: IEEE
DOI: 10.1109/CSR61664.2024.10679387

Towards Incident Response Orchestration and Automation for the Advanced Metering Infrastructure

Autores: Lekidis, Alexios; Mavroeidis, Vasileios; Fysarakis, Konstantinos
Publicado en: 2024 IEEE 20th International Conference on Factory Communication Systems (WFCS), 2024
DOI: 10.48550/ARXIV.2403.06907

Uncovering Hidden Threats: Automated, Machine Learning-based Discovery & Extraction of Cyber Threat Intelligence from Online Sources

Autores: Ellinitakis, Rafail A.; Fysarakis, Konstantinos; Bountakas, Panagiotis; Spanoudakis, George
Publicado en: 2024 IEEE International Conference on Cyber Security and Resilience (CSR), 2024
DOI: 10.1109/CSR61664.2024.10679473

Identity Management through a global Discovery System based on Decentralized Identities

Publicado en: 2024, ISBN 979-8-3503-0349-0
Editor: IEEE
DOI: 10.1109/CAMAD59638.2023.10478394

Attacking the DLMS/COSEM Advanced Metering Infrastructure

Autores: Ioannis Papadopoulos, Dimitris Merkouris, Christos Dalamagkas, Nikolaos Nikoloudakis, Athanasios Arvanitis
Publicado en: 2025 IEEE International Conference on Cyber Security and Resilience (CSR), 2025
Editor: IEEE
DOI: 10.1109/CSR64739.2025.11130169

Peer reviewed articles (3)

A Machine-Learning-Based Framework for Detection and Recommendation in Response to Cyberattacks in Critical Energy Infrastructures

Autores: Raul Rabadan, Ayaz Hussain, Ester Simó, Eva Rodriguez, Xavi Masip-Bruin
Publicado en: Electronics, Edición 14, 2025, ISSN 2079-9292
Editor: MDPI AG
DOI: 10.3390/ELECTRONICS14152946

Enhancing cybersecurity in railways: Machine learning approaches for attack detection

Autores: Beatriz Otero Calviño, Eva Rodriguez, Juan José Costa, Mercedes Oriol
Publicado en: International Journal of Critical Infrastructure Protection, Edición 50, 2025, ISSN 1874-5482
Editor: Elsevier BV
DOI: 10.1016/J.IJCIP.2025.100788

A Differential Privacy protection-based federated deep learning framework to fog-embedded architectures

Autores: Norma Gutiérrez, Beatriz Otero, Eva Rodríguez, Gladys Utrera, Sergi Mus, Ramon Canal
Publicado en: Engineering Applications of Artificial Intelligence, Edición 130, 2024, ISSN 0952-1976
Editor: Elsevier BV
DOI: 10.1016/J.ENGAPPAI.2023.107689