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.
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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.