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

HORIZON.2.3HORIZON-RIAID: 101070586
EC Contribution
€48,200
Consortium Size
17 orgs
Summary

PHOENi²X aims to design, develop, and deliver a Cyber Resilience Framework providing Artificial Intelligence (AI) - assisted orchestration, automation & response capabilities for business continuity and recovery, incident response, and information exchange, tailored to the needs of Operators of Essential Services (OES) and of the EU Member State (MS) National Authorities entrusted with cybersecurity. Through the deployment PHOENi²X Cyber Resilience Centres (PHOENi²X CRCs), OES will gain: (i) enhanced Situational Awareness with AI-assisted Prediction, Prevention, Detection & Response capabilities, and business risk impact assessment-based prioritisation; (ii) proactive and reactive Resilience Automation, Orchestration, and Response (ROAR) mechanisms, providing Business Continuity, Recover and Cyber & Physical Incident Response; (iii) Increased Preparedness through relevant Serious Games and realistic Resilience Cyber Range (RCR) Assessment & Training; (iv) timely and actionable Information Exchange between OES, National Authorities and EU actors, leveraging interoperable and standardised alerting and reporting mechanisms and processes.

Consortium (17)

Project Results (29)

Source: CORDIS, the EU research results database.

Publications (20)
A Machine-Learning-Based Framework for Detection and Recommendation in Response to Cyberattacks in Critical Energy Infrastructures
Electronics· 2025DOI
Raul Rabadan, Ayaz Hussain, Ester Simó, Eva Rodriguez, Xavi Masip-Bruin
Attacking the DLMS/COSEM Advanced Metering Infrastructure
2025 IEEE International Conference on Cyber Security and Resilience (CSR)· 2025DOI
Ioannis Papadopoulos, Dimitris Merkouris, Christos Dalamagkas, Nikolaos Nikoloudakis, Athanasios Arvanitis
Enhancing cybersecurity in railways: Machine learning approaches for attack detection
International Journal of Critical Infrastructure Protection· 2025DOI
Beatriz Otero Calviño, Eva Rodriguez, Juan José Costa, Mercedes Oriol
A Deep Learning Framework for Safety Monitoring of a Railway Section
2024 IEEE International Conference on Cyber Security and Resilience (CSR)· 2024DOI
F. Z. Chriki, E. Simó, F. Aguiló, I. Garcia-Milà, X. Masip
A Differential Privacy protection-based federated deep learning framework to fog-embedded architectures
Engineering Applications of Artificial Intelligence· 2024DOI
Norma Gutiérrez, Beatriz Otero, Eva Rodríguez, Gladys Utrera, Sergi Mus, Ramon Canal
Identity Management through a global Discovery System based on Decentralized Identities
· 2024DOI
Risk Assessment Method for 5G-oriented DLMS/COSEM Communications
2023 IEEE Conference on Standards for Communications and Networking (CSCN)· 2024DOI
Alexios Lekidis, Elpiniki I. Papageorgiou
Towards Incident Response Orchestration and Automation for the Advanced Metering Infrastructure
2024 IEEE 20th International Conference on Factory Communication Systems (WFCS)· 2024DOI
Lekidis, Alexios; Mavroeidis, Vasileios; Fysarakis, Konstantinos
Uncovering Hidden Threats: Automated, Machine Learning-based Discovery & Extraction of Cyber Threat Intelligence from Online Sources
2024 IEEE International Conference on Cyber Security and Resilience (CSR)· 2024DOI
Ellinitakis, Rafail A.; Fysarakis, Konstantinos; Bountakas, Panagiotis; Spanoudakis, George
A Blueprint for Collaborative Cybersecurity Operations Centres with Capacity for Shared Situational Awareness, Coordinated Response, and Joint Preparedness
2022 IEEE International Conference on Big Data (Big Data)DOI
A Survey of Machine and Deep Learning Methods for Privacy Protection in the Internet of Things
Sensors: Cybersecurity in the Internet of ThingsDOI
AMINet: An Industrial Honeynet for AMI Systems
2023 IEEE International Conference on Big Data (BigData)DOI
Cyber-security measures for protecting EPES systems in the 5G area
ARES '22: Proceedings of the 17th International Conference on Availability, Reliability and SecurityDOI
Deep‑Learning Based Detection for Cyber‑Attacks in IoT Networks: A Distributed Attack Detection Framework
Journal of Network and Systems ManagementDOI
Enhancing Cyber Threat Hunting: A Visual Approach with the Forensic Visualization Toolkit
PHOENI2X – A European Cyber Resilience Framework With Artificial-Intelligence-Assisted Orchestration, Automation & Response Capabilities for Business Continuity and Recovery, Incident Response, and Information Exchange
2023 IEEE International Conference on Cyber Security and Resilience (CSR)DOI
Reviewing BPMN as a Modeling Notation for CACAO Security Playbooks
2023 IEEE International Conference on Cyber Security and Resilience (CSR)DOI
Security shortcomings in healthcare: a preliminary investigation of Data Protection Authorities’ decisions
2023 19th International Conference on the Design of Reliable Communication Networks (DRCN)DOI
Standardization: EU AI Act's cornerstone
Koulierakis, Nikos (Project member)1 Nanou, Christina (Project member)1 Crociani, Maria (Researcher)1 Danilatou, Vasiliki2, 1, 3, 4 ORCID icon
The FormAI Dataset: Generative AI in Software Security Through the Lens of Formal Verification
Deliverables (8)
Other Results (1)
Periodic Reporting for period 2 - PHOENI2X (A EUROPEAN CYBER RESILIENCE FRAMEWORK WITH ARTIFICIAL INTELLIGENCE -ASSISTED ORCHESTRATION & AUTOMATION FOR BUSINESS CONTINUITY, INCIDENT RESPONSE & INFORMATION EXCHANGE)