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CORDIS - EU research results
CORDIS

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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Coordinated Response & Preparedness Enablers v1 (opens in new window)

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

AI-assisted Situational Awareness, Prediction & Response Enablers v2 (opens in new window)

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

Baseline Enablers (opens in new window)

Provides all the baseline tools for PHOENi²X.

AI-assisted Situational Awareness, Prediction & Response Enablers v1 (opens in new window)

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

Coordinated Response & Preparedness Enablers v2 (opens in new window)

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

PHOENi²X framework - MVP (opens in new window)

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

Publications

A Deep Learning Framework for Safety Monitoring of a Railway Section (opens in new window)

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

Risk Assessment Method for 5G-oriented DLMS/COSEM Communications (opens in new window)

Author(s): Alexios Lekidis, Elpiniki I. Papageorgiou
Published in: 2023 IEEE Conference on Standards for Communications and Networking (CSCN), 2024
Publisher: IEEE
DOI: 10.1109/CSCN60443.2023.10453204

Towards Incident Response Orchestration and Automation for the Advanced Metering Infrastructure (opens in new window)

Author(s): Lekidis, Alexios; Mavroeidis, Vasileios; Fysarakis, Konstantinos
Published 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 (opens in new window)

Author(s): Ellinitakis, Rafail A.; Fysarakis, Konstantinos; Bountakas, Panagiotis; Spanoudakis, George
Published 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 (opens in new window)

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

Attacking the DLMS/COSEM Advanced Metering Infrastructure (opens in new window)

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

A Machine-Learning-Based Framework for Detection and Recommendation in Response to Cyberattacks in Critical Energy Infrastructures (opens in new window)

Author(s): Raul Rabadan, Ayaz Hussain, Ester Simó, Eva Rodriguez, Xavi Masip-Bruin
Published in: Electronics, Issue 14, 2025, ISSN 2079-9292
Publisher: MDPI AG
DOI: 10.3390/ELECTRONICS14152946

Enhancing cybersecurity in railways: Machine learning approaches for attack detection (opens in new window)

Author(s): Beatriz Otero Calviño, Eva Rodriguez, Juan José Costa, Mercedes Oriol
Published in: International Journal of Critical Infrastructure Protection, Issue 50, 2025, ISSN 1874-5482
Publisher: Elsevier BV
DOI: 10.1016/J.IJCIP.2025.100788

A Differential Privacy protection-based federated deep learning framework to fog-embedded architectures (opens in new window)

Author(s): Norma Gutiérrez, Beatriz Otero, Eva Rodríguez, Gladys Utrera, Sergi Mus, Ramon Canal
Published in: Engineering Applications of Artificial Intelligence, Issue 130, 2024, ISSN 0952-1976
Publisher: Elsevier BV
DOI: 10.1016/J.ENGAPPAI.2023.107689

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