Secure and Private Biometric Template Matching using Multi-Vault Obfuscated Templates
A secure and private biometric template matching system that uses multiple independent embeddings stored in separate vaults with chaff points to protect user identities and enable efficient authentication.
Exploiting Alginate for Fingerprint Spoofing: Vulnerabilities in IoT Biometric Security
Alginate, a biopolymer derived from seaweed, can effectively spoof capacitive fingerprint sensors in IoT devices, exposing significant security vulnerabilities.
Enhancing Biometric Security: AttackNet, a Tailored Deep Learning Architecture for Robust Liveness Detection
AttackNet, a specialized Convolutional Neural Network architecture, offers a layered defense mechanism to combat sophisticated spoofing threats in biometric systems, achieving high accuracy and efficiency while maintaining robustness across diverse datasets.
Blind-Touch: Efficient and Privacy-Preserving Fingerprint Authentication using Homomorphic Encryption
Blind-Touch is a novel machine learning-based fingerprint authentication system that leverages homomorphic encryption to address privacy concerns in web and cloud environments.
Fuzzy Matchers Information Leakage Analysis
Biometric authentication systems face information leakage risks due to fuzzy matchers, impacting data privacy and security.
Analysis of Information Leakage in Fuzzy Matchers for Biometric Security Systems
The author explores the vulnerabilities of fuzzy matchers in biometric systems due to information leakage, focusing on distance evaluation and error correction mechanisms.
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