April 3, 2024, 4:10 a.m. | Pouria Rad, Gokila Dorai, Mohsen Jozani

cs.CR updates on arXiv.org arxiv.org

arXiv:2404.02150v1 Announce Type: new
Abstract: The increasing integration of capacitive fingerprint recognition sensors in IoT devices presents new challenges in digital forensics, particularly in the context of advanced fingerprint spoofing. Previous research has highlighted the effectiveness of materials such as latex and silicone in deceiving biometric systems. In this study, we introduce Alginate, a biopolymer derived from brown seaweed, as a novel material with the potential for spoofing IoT-specific capacitive fingerprint sensors. Our research uses Alginate and cutting-edge image recognition …

advanced arxiv biometric challenges context cs.cr devices digital digital forensics fingerprint fingerprint recognition fingerprint sensors forensics integration iot iot devices materials recognition research security sensors spoofing systems

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