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

Informazioni relative al progetto

PHOENI2X

ID dell’accordo di sovvenzione: 101070586

DOI

10.3030/101070586

Progetto chiuso

Data della firma CE 21 Giugno 2022

Data di avvio 1 Luglio 2022

Data di completamento 30 Giugno 2025

Finanziato da

• Civil Security for Society

Costo totale

€ 4 820 000,00

Contributo UE

€ 4 820 000,00

Coordinato da

PANEPISTIMIO PATRON
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

Conference proceedings (13)

A Deep Learning Framework for Safety Monitoring of a Railway Section

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

PHOENI2X – A European Cyber Resilience Framework With Artificial-Intelligence-Assisted Orchestration, Automation & Response Capabilities for Business Continuity and Recovery, Incident Response, and Information Exchange

Pubblicato in: 2023 IEEE International Conference on Cyber Security and Resilience (CSR), ISBN 979-8-3503-1170-9
Editore: IEEE
DOI: 10.1109/CSR57506.2023.10224995

AMINet: An Industrial Honeynet for AMI Systems

Pubblicato in: 2023 IEEE International Conference on Big Data (BigData), ISBN 979-8-3503-2445-7
Editore: IEEE
DOI: 10.1109/BIGDATA59044.2023.10386375

Risk Assessment Method for 5G-oriented DLMS/COSEM Communications

Autori: Alexios Lekidis, Elpiniki I. Papageorgiou
Pubblicato in: 2023 IEEE Conference on Standards for Communications and Networking (CSCN), 2024
Editore: IEEE
DOI: 10.1109/CSCN60443.2023.10453204

Security shortcomings in healthcare: a preliminary investigation of Data Protection Authorities’ decisions

Pubblicato in: 2023 19th International Conference on the Design of Reliable Communication Networks (DRCN), ISBN 978-1-6654-7598-3
Editore: IEEE
DOI: 10.1109/DRCN57075.2023.10108175

Towards Incident Response Orchestration and Automation for the Advanced Metering Infrastructure

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

Reviewing BPMN as a Modeling Notation for CACAO Security Playbooks

Pubblicato in: 2023 IEEE International Conference on Cyber Security and Resilience (CSR), ISBN 979-8-3503-1170-9
Editore: IEEE
DOI: 10.1109/CSR57506.2023.10224922

Enhancing Cyber Threat Hunting: A Visual Approach with the Forensic Visualization Toolkit

Pubblicato in: ISBN 979-8-3503-2445-7
Editore: ΙΕΕΕ
DOI: 10.1109/BIGDATA59044.2023.10386677

A Blueprint for Collaborative Cybersecurity Operations Centres with Capacity for Shared Situational Awareness, Coordinated Response, and Joint Preparedness

Pubblicato in: 2022 IEEE International Conference on Big Data (Big Data), ISBN 978-1-6654-8045-1
Editore: IEEE
DOI: 10.1109/BIGDATA55660.2022.10020736

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

Autori: Ellinitakis, Rafail A.; Fysarakis, Konstantinos; Bountakas, Panagiotis; Spanoudakis, George
Pubblicato 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

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

Cyber-security measures for protecting EPES systems in the 5G area

Pubblicato in: ARES '22: Proceedings of the 17th International Conference on Availability, Reliability and Security, ISBN 9781450396707
Editore: ACM
DOI: 10.1145/3538969.3544476

Attacking the DLMS/COSEM Advanced Metering Infrastructure

Autori: Ioannis Papadopoulos, Dimitris Merkouris, Christos Dalamagkas, Nikolaos Nikoloudakis, Athanasios Arvanitis
Pubblicato in: 2025 IEEE International Conference on Cyber Security and Resilience (CSR), 2025
Editore: IEEE
DOI: 10.1109/CSR64739.2025.11130169

Peer reviewed articles (5)

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

Autori: Raul Rabadan, Ayaz Hussain, Ester Simó, Eva Rodriguez, Xavi Masip-Bruin
Pubblicato in: Electronics, Numero 14, 2025, ISSN 2079-9292
Editore: MDPI AG
DOI: 10.3390/ELECTRONICS14152946

Enhancing cybersecurity in railways: Machine learning approaches for attack detection

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

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

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

Deep‑Learning Based Detection for Cyber‑Attacks in IoT Networks: A Distributed Attack Detection Framework

Pubblicato in: Journal of Network and Systems Management, ISSN 1573-7705
Editore: Springer
DOI: 10.1007/S10922-023-09722-7

A Survey of Machine and Deep Learning Methods for Privacy Protection in the Internet of Things

Pubblicato in: Sensors: Cybersecurity in the Internet of Things, ISSN 1424-8220
Editore: MDPI
DOI: 10.3390/S23031252

Other (2)

The FormAI Dataset: Generative AI in Software Security Through the Lens of Formal Verification

DOI: 10.48550/ARXIV.2307.02192

Standardization: EU AI Act's cornerstone

Autori: Koulierakis, Nikos (Project member)1 Nanou, Christina (Project member)1 Crociani, Maria (Researcher)1 Danilatou, Vasiliki2, 1, 3, 4 ORCID icon
Editore: ETSI
DOI: 10.5281/ZENODO.15853337