2026.01.01VEDECOM develops security methods for software-defined vehicles, with a focus on secure over-the-air updates, automated risk quantification, and resilient vehicle-to-network and vehicle-to-vehicle distribution.
2026.01.01GAML-MUDIT develops coordinated cyber-physical deception for Internet of Things environments by combining game theory, deep reinforcement learning, and intent-based networking.
2023.01.01XDGMed develops explainable graph-based methods for detecting attacks in medical and other sensitive dynamic systems, combining graph analysis with trusted artificial intelligence principles.
DAMIAGE develops active, graph-based attack detection for large-scale critical infrastructures, combining network traffic with operational signals to support real-time or near-real-time cybersecurity.