Abstract

Using a biometric as an identity has the advantage that identities are unique if the underlying biometric is of a good quality, such as fingerprints, faces, irises, etc. However, biometric measurements are noisy and the existing identity-based systems cannot be used directly to construct this scheme. The error-tolerance property(Fuzzy) can be used to solve this problem. Based on the error-tolerance property, a new biometric identity based signature scheme is proposed. Our scheme is constructed in the standard model and achieves a strong security-full security. In addition, the security of our scheme is reduced to a generalized assumption-Computation Diffie-Hellman(CDH) assumption instead of other strong assumptions.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.