PRIVV: Private remote iris-authentication with Vaulted Verification

Iris biometrics are one of the strongest modalities in terms of performance, and as such, are used in several high-security scenarios. However, remote/network authentication creates its own class of problems that have not previously been considered. In this work, we adapt Vaulted Verification, a novel remote matching protocol, to work with iris biometrics in a network authentication setting. We give an overview of how Vaulted Verification works and show how to adapt it to the unique challenges of iris biometrics. We then investigate the algorithm´s security and evaluate its performance, showing that Vaulted Verification is among the top-performing template protection algorithms for the CASIAv1 dataset. We conclude with a summary and ideas for future work.