A modeling and optimization framework for adaptive countermeasure selection in reaction against cyber attacks

This research paper presents a framework for automatically selecting and optimizing defensive responses when cyber attacks occur. The system uses modeling and optimization techniques to help organizations choose the most effective countermeasures (defensive actions) in real-time during an attack, rather than relying on manual decision-making.