Secure Face Authentication Framework in Open Networks

In response to increased security concerns, biometrics is becoming more focused on overcoming or complementing conventional knowledge and possession-based authentication However, biometric authentication requires special care since the loss of biometric data is irrecoverable In this paper, we present a biometric authentication framework, where several novel techniques are applied to provide security and privacy First, a biometric template is saved in a transformed form This makes it possible for a template to be canceled upon its loss while the original biometric information is not revealed Second, when a user is registered with a server, a biometric template is stored m a special form, named a 'soft vault' This technique prevents impersonation attacks even if data m a server is disclosed to an attacker Finally, a one-time template technique is applied in order to prevent replay attacks against templates transmitted over networks In addition, the whole scheme keeps decision equivalence with conventional face authentication, and thus it does not decrease biometric recognition performance As a result, the proposed techniques construct a secure face authentication framework in open networks