Every ATM or smartphone user can attest to the discomfort of having a stranger standing close enough to observe a financial transaction — and potentially note a PIN or account number. Now researchers at the NYU Tandon School of Engineering have announced an application to combat such “shoulder-surfing,” whether in person or via a building’s video camera.
Nasir Memon, NYU Tandon professor of computer science and engineering, explained that the technology, called “IllusionPIN,” deploys a hybrid-image keyboard that appears one way to the close-up user and differently to an observer at a distance of three feet or greater.
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