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Zero-day attacks can overwhelm traditional defenses, costing organizations money and resources A machine learning algorithm may give organizations a powerful and cost-effective tool for defending against attacks on vulnerable computer networks and cyber-infrastructure, often called zero-day attacks, according to researchers. Image: Pixahive Machine learning algorithm may be the key to timely, inexpensive cyber-defense Matt Swayne February 03, 2021 UNIVERSITY PARK, Pa. Attacks on vulnerable computer networks and cyber-infrastructure often called zero-day attacks can quickly overwhelm traditional defenses, resulting in billions of dollars of damage and requiring weeks of manual patching work to shore up the systems after the intrusion. Now, a Penn State-led team of researchers used a machine learning approach, based on a technique known as reinforcement learning, to create an adaptive cyber defense against these attacks.

United statesJun xuMinghui zhuRaymondg tronzoPeng liuDepartment of defense multidisciplinary university research initiativeCollege of information sciencesInstitute for computationalData sciencesStevens institute of technologyPenn state ledInformation sciencesBaidu securitySilicon valleyStevens institutePing chen