Monchi: Multi-scheme optimisation for collaborative homomorphic identification

Ibarrondo, Alberto; Kerenciler, Ismet; Chabanne, Hervé; Despiegel, Vincent; Önen, Melek

This paper introduces a novel protocol for privacy-preserving bio-metric identification, named Monchi, that combines the use of homomorphic encryption for the computation of the identifica-tion score with function secret sharing to obliviously compare this score with a given threshold and finally output the binary result. Given the cost of homomorphic encryption, BFV in this solution, we study and evaluate the integration of two packing solutions that enable the regrouping of multiple templates in one ciphertext to im-prove efficiency meaningfully. We propose an end-to-end protocol, prove it secure and implement it. Our experimental results attest to Monchi’s applicability to the real-life use case of an airplane board-ing scenario with 1000 passengers,taking less than one second to authorize/deny access to the plane to each passenger via biometric identification while maintaining the privacy of all passengers.


DOI
HAL
Type:
Conference
City:
Baiona
Date:
2024-06-24
Department:
Digital Security
Eurecom Ref:
7676
Copyright:
© ACM, 2024. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in https://doi.org/10.1145/3658664.3659633

PERMALINK : https://www.eurecom.fr/publication/7676