.png){kind=icon}
.png){kind=icon}
Return
ToMAS: Torus-based secure multi-factor biometric authentication system
.png){kind=icon}
OA
AI
DOI：10.1016/j.csbj.2025.10.042.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Biometric authentication has emerged as a convenient method for identity verification, but its widespread adoption raises serious privacy concerns. In this paper, we propose a Torus-based secure Multi-factor biometric Authentication System (ToMAS) that addresses these concerns by securing both the and phases through cryptographic protocols. ToMAS adopts a multi-factor approach using both physiological biometric traits and password-derived secrets, and leverages fully homomorphic encryption (FHE) to perform computations on encrypted data without revealing sensitive information.
Keywords:
Fully homomorphic encryption
Privacy-preserving
Biometric authentication
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.1
Papers:
686
Citations:
1.4W
Organization
No organization information available