Multi-Partner Project: CyberSecDome - Framework for Secure, Collaborative, and Privacy-Aware Incident Handling for Digital Infrastructure

Mohammad Hamad, Michael Kühr, Haralambos Mouratidis, Eleni-Maria Kalogeraki, Christos A. Gizelis, Dimitrios Papanikas, Athanasios Bountioukos-Spinaris, Charilaos Skandylas, Evangelos Raptis, Andreas Alexopoulos, Grigorios Chrysos, Mina Marmpena, Sevasti Politi, Konstantinos Lieros, Nikolaos Papagiannopoulos, Iordanis Xanthopoulos, Spyros Papastergiou, Sotiris Ioannidis, Mikael Asplund, Marc-Oliver Pahl et al. (1 additional authors not shown)

Abstract: Digital infrastructure is vital for the economy, democracy, and everyday life, yet it is becoming increasingly vulnerable to strategic cyber-attacks. These attacks can lead to significant disruptions, resulting in widespread service outages, financial losses, and a decline in public trust. Ensuring resilience is difficult due to the infrastructure's complexity, the large volume of data involved, and the growing need for quick, coordinated responses. In the EU Horizon project CyberSecDome, we propose a multi-layered framework that provides AI-driven solutions for incident prediction and detection, automated testing, risk assessment, and rapid incident response, supporting continuity amid complex, large-scale cyber threats. Additionally, Cyber-SecDome introduces a virtual reality interface to enhance AI model explainability and provide real-time contextual awareness of ongoing attacks and defense mechanisms. It also enables privacy-aware model sharing across AI systems, fostering secure collaboration among different domes.

External IDs:dblp:conf/date/HamadKMKGPBSRA025