Fuzzy Error-Tolerance Biometric Identity-Based Signature in the Standard Model
- Resource Type
- Authors
- Le You Zhang; Qing Wu; Yu Pu Hu
- Source
- Applied Mechanics and Materials. :474-477
- Subject
- Scheme (programming language)
Property (philosophy)
Biometrics
General Medicine
computer.software_genre
Fuzzy logic
Signature (logic)
Identity (object-oriented programming)
Data mining
computer
Signature recognition
Computer Science::Cryptography and Security
Mathematics
Standard model (cryptography)
computer.programming_language
- Language
- ISSN
- 1662-7482
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.