The big picture
Researchers at the University of Arizona are working on a new cybersecurity method that can detect threats in the early stages.
“Once you put your hand down on that stove, you know not to touch it again, because it’s hot. But how can you be prepared to recognize other dangers, like putting your hand in a toaster? This is where machine learning comes in,” said Gregory Ditzler, co-investigator and assistant professor of electrical and computer engineering.
Going into the details
Machine learning is a form of artificial intelligence that makes the computers capable of learning and recognizing patterns.
“An attacker can reach hundreds of thousands of devices in a fraction of a second, so we need our ability to detect threats and protect a system to work just as quickly,’’ said Salim Hariri, UA electrical and computer engineering professor and the principal investigator of the project.