Researchers have created artificial fingerprints that they say can be used to hack into smartphones and other devices. These “DeepMasterPrints” are machine-learning methods that act as a master key, according to the researchers from New York University [Tandon School of Engineering] and Michigan State University, CNBC reports. The researchers — Philip Bontrager, Aditi Roy, Julian Togelius, Nasir Memon and Arun Ross — told CNBC that “phones and many more devices don’t capture your entire fingerprint.” They add: “There’s not enough space on the device, so they capture a partial fingerprint — which is not as secure as the full image….”
January 10, 2019January 10, 2019Emerald Knox
CCS News