A Novel Parameter Management Approach for Remote Cancelable Biometrics

Protecting biometric information is key concern in biometric systems, since physical characteristics such as fingerprint, irises, face and vein patterns cannot be changed or revoked like passwords. As a solution to this problem, an authentication model called Cancelable biometrics has been studied, in which the biometric features are transformed by a kind of encryption or one-way function and matched without restoring the original features. In this transformation a user specific parameter or key is used. The security of template formed after transformation depends on the security of parameter used. In this paper, we review several naive models for parameter management. Some of the limitation and overhead in the models is enlightened and to remove it we propose a novel parameter management model based on server-side parameter management and authentication protocols. The proposed parameter management model makes it possible to realize a cancelable biometric authentication system with high usability and security with minimal overhead.