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.
Machine learning algorithm may be the key to timely, inexpensive cyber-defense
Posted in cybercrime/malcode, information science, robotics/AI