TY - GEN
T1 - Multi-Partner Project
T2 - 2025 Design, Automation and Test in Europe Conference, DATE 2025
AU - Hamad, Mohammad
AU - Kühr, Michael
AU - Mouratidis, Haralambos
AU - Kalogeraki, Eleni Maria
AU - Gizelis, Christos
AU - Papanikas, Dimitris
AU - Bountioukos-Spinaris, Athanasios
AU - Skandylas, Charilaos
AU - Raptis, Evangelos
AU - Alexopoulos, Andreas
AU - Chrysos, Grigorios
AU - Marmpena, Mina
AU - Politi, Sevasti
AU - Lieros, Konstantinos
AU - Nikolaos, Papagiannopoulos
AU - Xanthopoulos, Iordanis
AU - Papastergiou, Spyros
AU - Ioannidis, Sotiris
AU - Asplund, Mikael
AU - Pahl, Marc Oliver
AU - Steinhorst, Sebastian
N1 - Publisher Copyright:
© 2025 EDAA.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - AI
KW - Incident handling
KW - Intrusion detection
KW - Security
UR - https://www.scopus.com/pages/publications/105006910342
U2 - 10.23919/DATE64628.2025.10992768
DO - 10.23919/DATE64628.2025.10992768
M3 - Conference contribution
AN - SCOPUS:105006910342
T3 - Proceedings -Design, Automation and Test in Europe, DATE
BT - 2025 Design, Automation and Test in Europe Conference, DATE 2025 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 31 March 2025 through 2 April 2025
ER -