Attacks on vulnerable computer networks and cyber-infrastructure — often called zero-day attacks — can quickly overwhelm traditional defenses. A Penn State-led team of researchers has used a machine learning approach, based on a technique known as reinforcement learning, to create an adaptive cyber-defense against these attacks.
