Machine learning masters the fingerprint to fool biometric systems
Synthetic fingerprints can spoof smartphone fingerprint sensors
Date:
November 20, 2018
Source:
NYU Tandon School of Engineering
Summary:
Fingerprint authentication systems are a widely trusted, ubiquitous form of biometric authentication, deployed on billions of smartphones and other devices worldwide. Yet a new study reveals a surprising level of vulnerability in these systems. Using a neural network trained to synthesize human fingerprints, the research team evolved a fake fingerprint that could potentially fool a touch-based authentication system for up to one in five people.
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FULL STORY
https://www.sciencedaily.com/releases/2018/11/181120125832.htm
