COBRA V2 (Cibermaniobras Adaptativas y Personalizables de Simulación Hiperrealista de APTs y Entrenamiento en Ciberdefensa Usando Gamificación Versión 2) is a defense R&D project running from November 2025 to June 2026. Funded by the Spanish Ministry of Defense (Dirección General de Armamento y Material), the project is led by researchers Félix Gómez Mármol and José Antonio Ruipérez Valiente at the University of Murcia.
Project Overview
In cybersecurity training, static environments often fail to represent the dynamic and evasive nature of real-world Advanced Persistent Threats (APTs). COBRA V2 addresses this limitation by developing next-generation Cyber Range simulators.
These environments combine realistic APT simulation patterns with gamification mechanics to train military and civil defense experts. The research studies how simulations can adapt to participant actions and performance, creating more personalized training scenarios.
Technical Scope
COBRA V2 advances the state of the art in cyberdefense training through:
- Realistic Threat Simulation: Models complex APT execution playbooks, directory-service compromises, and lateral movement in virtual network environments.
- Adaptive Learning Paths: Studies machine learning models that can track participant decision-making patterns and adjust difficulty, network topologies, or security events.
- Gamified Training Engines: Explores reward systems, progression metrics, and exercise feedback to support engagement and skill assessment for security analysts.
The COBRA V2 project is supported by the Spanish Ministry of Defense. For inquiries regarding cyber range architectures, gamified learning frameworks, or adaptive APT simulations, please contact me at enriquetomas@um.es.
