Abstract
AbstractWith the development of Internet technology and the change of network environment, it is particularly important to ensure the security and privacy of biometrics in the process of biometrics authentication. In this regard, we propose a novel identity authentication protocol based on cancelable biometric and Physical Unclonable Function (PUF) which uses the properties of PUF to generate the cancelable biometric and adds it to the complete authentication protocol, so as to realize the two-way authentication between the user and the server. Our authentication protocol makes full use of the characteristics of what users bring in and who users are, overcomes the shortcomings of the traditional key-based protocol, and connecting with the supervised learning algorithm SVM and elliptic curve Pedersen commitment, construct an effective, unique and cancelable biometric identity to replace original biometrics, thus improving the security and privacy protection of the biometrics template. At the same time, we analyze the accuracy of classification algorithms, the revocability and unlinkability of templates through experiments, which further ensures the security and legitimacy of the authentication protocol.KeywordsAuthenticationBiometric identificationPrivacy protectionCancelable biometricsPhysical unclonable function
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
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.