Review Article
Privacy-Preserving Biometric Authentication: Challenges and Directions
The general setting for SMPC is the following. The system is made up of entities that jointly compute some public | function based on some individually secret data , without revealing their private inputs to one another. In other | words, SMPC allows the interactive computation among multiple parties in such a way that at the end of the process no | participant can learn more from and the result , than what could learn from her own secret data | . It is easy to see that SMPC can be very useful in privacy-preserving biometric authentication especially in | the distributed scenario, where multiple entities are involved in the authentication process [12] (e.g., a database , | an authentication server and a matcher ). In this case, the function could be the distance between the fresh and the | stored biometric template and the goal would be to guarantee the secrecy of the biometric templates (fresh and stored). |
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