Multi-fingerprint Unimodel-based Biometric Authentication Supporting Cloud Computing

Abstract

Cloud computing is one of the emerging technologies that transfers network users to the next level. Security is one of the critical challenges faced by cloud computing. Biometrics proves its efficiency to achieve secured authentication. A new attribute should be created to handle authentication information in the infrastructure. The proposed system model presented a new idea for biometric security system based on fingerprint recognition. It automated the verification method to match between two human fingerprints, where fingerprints are considered a commonly used biometrics to identify an individual and to verify their identity. The proposed system presented a new model of a security system, where the users were asked to provide multiple [two] biometric fingerprints during the registration for a service. These templates are stored at the cloud providers’ end. The users are authenticated based on these fingerprint templates which have to be provided in the order of random numbers that are generated every time. Both fingerprint templates and images were provided whenever encrypted for enhanced security. The proposed multi-fingerprint system achieved superior accuracy of 98 % compared to the single-fingerprint and manual-based attendance management systems.