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

Projektinformationen

PHOENI2X

ID Finanzhilfevereinbarung: 101070586

DOI

10.3030/101070586

Projekt abgeschlossen

EK-Unterschriftsdatum 21 Juni 2022

Startdatum 1 Juli 2022

Enddatum 30 Juni 2025

Finanziert unter

• Civil Security for Society

Gesamtkosten

€ 4 820 000,00

EU-Beitrag

€ 4 820 000,00

Koordiniert durch

PANEPISTIMIO PATRON
Greece

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

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.

Veröffentlichungen

Conference proceedings (5)

A Deep Learning Framework for Safety Monitoring of a Railway Section

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

Towards Incident Response Orchestration and Automation for the Advanced Metering Infrastructure

Autoren: Lekidis, Alexios; Mavroeidis, Vasileios; Fysarakis, Konstantinos
Veröffentlicht in: 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

Autoren: Ellinitakis, Rafail A.; Fysarakis, Konstantinos; Bountakas, Panagiotis; Spanoudakis, George
Veröffentlicht in: 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

Veröffentlicht in: 2024, ISBN 979-8-3503-0349-0
Herausgeber: IEEE
DOI: 10.1109/CAMAD59638.2023.10478394

Attacking the DLMS/COSEM Advanced Metering Infrastructure

Autoren: Ioannis Papadopoulos, Dimitris Merkouris, Christos Dalamagkas, Nikolaos Nikoloudakis, Athanasios Arvanitis
Veröffentlicht in: 2025 IEEE International Conference on Cyber Security and Resilience (CSR), 2025
Herausgeber: 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

Autoren: Raul Rabadan, Ayaz Hussain, Ester Simó, Eva Rodriguez, Xavi Masip-Bruin
Veröffentlicht in: Electronics, Ausgabe 14, 2025, ISSN 2079-9292
Herausgeber: MDPI AG
DOI: 10.3390/ELECTRONICS14152946

Enhancing cybersecurity in railways: Machine learning approaches for attack detection

Autoren: Beatriz Otero Calviño, Eva Rodriguez, Juan José Costa, Mercedes Oriol
Veröffentlicht in: International Journal of Critical Infrastructure Protection, Ausgabe 50, 2025, ISSN 1874-5482
Herausgeber: Elsevier BV
DOI: 10.1016/J.IJCIP.2025.100788

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

Autoren: Norma Gutiérrez, Beatriz Otero, Eva Rodríguez, Gladys Utrera, Sergi Mus, Ramon Canal
Veröffentlicht in: Engineering Applications of Artificial Intelligence, Ausgabe 130, 2024, ISSN 0952-1976
Herausgeber: Elsevier BV
DOI: 10.1016/J.ENGAPPAI.2023.107689