Fuzzy Error-Tolerance Biometric Identity-Based Signature in the Standard Model

Abstract

Biometric measurements are noisy and the existing techniques cannot be used directly to construct biometric-based scheme. Hence an error-tolerance property(Fuzzy) can be used to solve this problem. In this paper, a new biometric identity based signature scheme is proposed with the error-tolerance property. Our scheme is constructed in the standard model and achieves the selective identity security. In addition, the security of our scheme is reduced to a natural assumption-Computation Diffie-Hellman(CDH) assumption instead of other strong assumptions.