A staff of Cornell computer system experts has been awarded a $3 million grant from the Protection Innovative Investigate Projects Company (DARPA), the investigation and improvement arm of the U.S. Division of Protection, to leverage reinforcement learning to make pc networks more robust, dynamic and far more protected.
The project is called LANCER (Mastering Network CybERagents), and researchers hope it will yield smarter, dynamic defenses for cybersecurity authorities in the perpetual cat-and-mouse game in between defenders and attackers.
Armed with reams of network information and applying a approach identified as reinforcement understanding, the Cornell crew will fundamentally create artificial intelligence variations of the cat and the mouse, and then pit them versus each other. The strategy is to permit these AI products to train each other, eventually enabling defenders to predict attack sequences and sniff out assaults more quickly and without the need of human intervention. This AI-run defender design
