Cognizant Biometric Recognition with Efficiency and Privacy Protection

Abstract

Biometric identification has become increasingly popular in recent years. With the developmentof cloud computing, database owners are motivated to outsource the large size of biometric data andidentification tasks to the cloud to get rid of the expensive storage and computation costs, which howeverbrings potential threats to users’ privacy. In this paper, we propose an efficient and privacy-preservingbiometric identification outsourcing scheme. Specifically, the biometric data is encrypted and outsourcedto the cloud server. To execute a biometric identification, the database owner encrypts the query data andsubmits it to the cloud. The cloud performs identification operations over the encrypted database and returnsthe result to the database owner. A thorough security analysis indicates the proposed scheme is secure evenif attackers can forge identification requests and collude with the cloud. Compared with previous protocols,experimental results show the proposed scheme achieves a better performance in both preparation andidentification procedures