CANS 2016-15th International Conference on Cryptology and Network Security vol:10052 pages:743-748
Cryptology and Network Security
CANS edition:15 location:Milan, Italy date:14-16 November 2016
Biometric designs have attracted attention in practical technological schemes with high requirements in terms of accuracy, security and privacy. Nevertheless, multimodalities have been approached with skepticism, as fusion deployments are affected by performance metrics. In this paper, we introduce a basic fusion model blueprint for a privacy-preserving cloud-based user verification/authentication. We consider the case of three modalities, permanently "located" in different databases of semi-honest providers, being combined according to their strength performance parameters, in a user-specific weighted score level fusion. Secure multiparty computation techniques are utilized for protecting confidentiality and privacy among the parties.