Sanchez, EdwinWeyer, AnthonyPalackal, JosephWang, KaiPhilips, TylerZou, Xukai2024-12-172024-12-172023-10Sanchez, E. A., Weyer, A., Palackal, J., Wang, K., Phillips, T., & Zou, X. (2023). Advancing Active Authentication for User Privacy and Revocability with BioCapsules. Proceedings of the Twenty-Fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, 468–473. https://doi.org/10.1145/3565287.3617624https://hdl.handle.net/1805/45111Biometric Facial Authentication has become a pervasive mode of authentication in recent years. With this surge in popularity, concerns over the security and privacy of biometrics-based systems have grown. Therefore, there is a need for a system that can address security and privacy issues while remaining user-friendly and practical. The BioCapsule scheme is a flexible solution that can be embedded in existing biometrics systems in order to provide robust security and privacy protections. While BioCapsules have been evaluated for their static face authentication capabilities, this paper extends the scheme to Active Authentication, where a user is continuously authenticated throughout a session. We use the MOBIO dataset, which contains video recordings of 150 individuals using mobile devices over several sessions, in order to evaluate the BioCapsule scheme within the domain of Active Authentication. We find that the BioCapsule scheme not only performs comparably to baseline, unsecured system performance, but in some cases exceeds baseline performance in terms of False Acceptance Rate, False Rejection Rate, and Equal Error Rate. Through our experiments, we demonstrate that the BioCapsule scheme is a powerful and practical addition to existing biometrics-based Active Authentication systems to provide robust security and privacy protections.enPublisher Policycontinuous authenticationactive authenticationdeep neural networksface authenticationArticle