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Machine learning algorithm may be the key to timely, inexpensive cyber-defense


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 States , Jun Xu , Minghui Zhu , Raymondg Tronzo , Peng Liu , Department Of Defense Multidisciplinary University Research Initiative , College Of Information Sciences , Institute For Computational , Data Sciences , Stevens Institute Of Technology , Penn State Led , Information Sciences , Baidu Security , Silicon Valley , Stevens Institute , Ping Chen , ஒன்றுபட்டது மாநிலங்களில் , ஜூன் ஐயூ , பெங் லியூ , துறை ஆஃப் பாதுகாப்பு பலதரப்பட்ட பல்கலைக்கழகம் ஆராய்ச்சி முயற்சி , கல்லூரி ஆஃப் தகவல் அறிவியல் , நிறுவனம் க்கு கணக்கீட்டு , தகவல்கள் அறிவியல் , ஸ்டீவன்ஸ் நிறுவனம் ஆஃப் தொழில்நுட்பம் , பென் நிலை வழிநடத்தியது , தகவல் அறிவியல் ,