Monchi: Multi-scheme Optimization For Collaborative Homomorphic Identification

ePrint Report: Monchi: Multi-scheme Optimization For Collaborative Homomorphic Identification

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

This paper introduces a novel protocol for privacy-preserving biometric identification, named Monchi, that combines the use of homomorphic encryption for the computation of the identification 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 …

biometric biometric identification computation encryption eprint report function homomorphic encryption identification novel optimization privacy protocol report score secret sharing