Loading [a11y]/accessibility-menu.js
Efficient Privacy-Preserving Face Identification Protocol | IEEE Journals & Magazine | IEEE Xplore

Efficient Privacy-Preserving Face Identification Protocol


Abstract:

Face identification is an important research topic in artificial intelligence and it has wide application in civilian and law enforcement scenarios that require reliable ...Show More

Abstract:

Face identification is an important research topic in artificial intelligence and it has wide application in civilian and law enforcement scenarios that require reliable biometric identification. However, the wide deployment of face identification systems has raised serious privacy concerns about the abuse of users’ face images. In this paper, we propose an efficient privacy-preserving face identification protocol based on fully homomorphic encryption and garbled circuit. Our work is the first privacy-preserving face identification protocol that guarantees the privacy of the users’ face images such that the server cannot learn any information about the face images, access pattern and identification result, while providing face identification service. We formally prove the security of our protocol in a semi-honest model. Experimental results the practicality of our protocol for the large face images database.
Published in: IEEE Transactions on Services Computing ( Volume: 16, Issue: 4, 01 July-Aug. 2023)
Page(s): 2632 - 2641
Date of Publication: 06 February 2023

ISSN Information:


References

References is not available for this document.