An Experimental Evaluation of a Privacy-Preserving Authentication and Authorization Scheme∗

Kai Wang, Tyler Phillips, Xukai Zou

Research output: Contribution to book or proceedingConference articlepeer-review

Abstract

We conduct an experimental evaluation of a Privacy-Preserving Authentication and Authorization Scheme based on an earlier work. The scheme is flexible in its design and allows itself to be incorporated into various biometrics-based authentication systems. In this study we use face images as biometrics data in the authentication system but protect system users' privacy by utilizing the scheme's Biometric-Capsule based security mechanism. We also employ additional state-of-the-art deep-learning based face recognition methods to help achieve high accuracy of the system.

Original languageEnglish
Title of host publicationProceedings - 2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages948-952
Number of pages5
ISBN (Electronic)9798350320282
DOIs
StatePublished - 2022
Event2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022 - Las Vegas, United States
Duration: Dec 14 2022Dec 16 2022

Publication series

NameProceedings - 2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022

Conference

Conference2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022
Country/TerritoryUnited States
CityLas Vegas
Period12/14/2212/16/22

Scopus Subject Areas

  • Artificial Intelligence
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Control and Optimization

Keywords

  • Authentication
  • Authorization
  • Biometric-Capsule
  • Biometrics
  • Deep Learning
  • Face Recognition

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