An ERAU spokesperson added, “Leveraging a machine learning technique called deep learning, the research will seek to combat cyber threats that are of increasing concern in aviation. Such threats include drone position spoofing attacks, where misinformation may incorrectly indicate to an air traffic controller the presence of a drone in a certain location, or a drone that has suddenly gone rogue in airspace after being compromised by a cyberattack. These types of threats can challenge a flight or ATC crew’s problem-solving skills, situational awareness and decision-making. Deep learning can use highly unstructured data from a variety of sensors monitoring an airspace and identify previously unrecognized patterns. The resulting capability can, for instance, quickly detect if a drone is actually present in a certain position, as well as identify compromised drones and forecast their behaviors to mitigate threats.