Risk & Repeat: DeepMasterPrints spells trouble for biometrics
Biometric authentication could be in trouble according to a new study that revealed a major weakness in fingerprint scanning. Academic researchers at New York University Tandon School of Engineering and Michigan State University developed an approach called DeepMasterPrints, which uses neural networks to generate synthetic fingerprints that can bypass biometric scanners. … In this episode of the Risk & Repeat podcast, SearchSecurity editors Rob Wright and Peter Loshin discuss the research and its implications for the biometrics industry and enterprise security overall.
