Fuzzy Identity-Based Signature Scheme Suitable for Biometric Authentication

Area of Science:

• Cryptography
• Biometrics
• Information Security

Background:

• Fuzzy identity-based signature (FIBS) schemes are typically based on the random oracle model (ROM), which offers less reliable security than the standard model (SM).
• Designing FIBS schemes in the SM is crucial for more stable and dependable security in cryptographic applications.

Purpose of the Study:

• To develop a novel and efficient fuzzy identity-based signature (FIBS) scheme within the standard model (SM).
• To leverage fingerprint minutiae for attribute extraction in a privacy-preserving manner.
• To enhance the security and efficiency of biometric authentication systems.

Main Methods:

• Utilized fingerprint minutiae as the biometric modality.
• Developed a feature extraction algorithm to convert raw minutiae into quantized, privacy-preserving attribute sets.
• Implemented a False Rejection Rate (FRR)-False Acceptance Rate (FAR) trade-off framework for threshold calibration.
• Proposed a new FIBS scheme proven unforgeable in the standard model (SM) under selective identity attack.

Main Results:

• The new FIBS scheme offers a stronger security model compared to existing ROM-based FIBS schemes.
• Achieved approximately 33.55% reduction in total computation consumption compared to existing SM-based FIBS schemes.
• Secured approximately 68.07% reduction in communication consumption (message and signature size).

Conclusions:

• The developed FIBS scheme provides robust security in the standard model (SM) using fingerprint biometrics.
• The scheme demonstrates significant improvements in computational and communication efficiency.
• This FIBS scheme is well-suited for practical biometric authentication applications requiring high security and performance.