Skip to content

The classifier judged this item not relevant to AI security, so it is left out of lists, feeds, the API and dataset releases. If that is wrong, report a correction on this page.

InfoResearchPeer-reviewed

UC-Secure Multi-Factor Authentication With Dynamic Password Recovery and Fine-Grained Access Control

Published
Record updated

Summary

Researchers introduce MFA-DPRF, a multi-factor authentication scheme that combines attribute-based fine-grained access control with a dynamic password recovery method. Recovery relies on secret questions and secret sharing, letting users restore passwords locally and update secret values. The authors reduce its security to the computational Diffie-Hellman problem under the Random Oracle Model, analyze it in the universally composable framework, and report that performance analysis shows it is superior to state-of-the-art works in security and efficiency.