PEBASI: A Privacy preserving, Efficient Biometric Authentication Scheme based on Irises
Hasini Gunasinghe, Mikhail Atallah, Elisa Bertino · ACM Transactions on Privacy and Security · 2024
We introduce a novel privacy-preserving biometric authentication scheme based on irises that allows a user to enroll once at a trusted biometric certification authority (BCA) and authenticate to online service providers (SPs) multiple times without involving the BCA during the authentication. Our scheme preserves the user’s biometric privacy from the SPs and transactional privacy from the BCA, while providing security against a malicious user. During the enrollment, the BCA issues a signed token that encrypts the user’s biometrics. We introduce techniques enabling the SP and the user to perform secure computation of biometric matching between such encrypted biometrics and the user’s biometrics captured at the authentication time. We provide a prototype implementation, a performance evaluation, and a security analysis of the protocol.