Cloud-Based Approaches to Multi-Modal Biometric-Based Authentication in Identity Management Systems

A review of cloud-based approaches to multimodal biometric identity authentication amid cyber risk management was undertaken in this research.Fifty-four (54) research works were selected out of one hundred (100) reviewed for analysis to determine biometric feature extraction means, fusion level used, and fusion strategy employed and their strengths, limitations, and accuracy performance levels.The results showed that the fingerprint was the most popular biometric used, followed by the face and iris.The weighted sum rule and matching score fusion was the highest used.Cloud-based approaches, BlockChain technologies, deep learning and Cryptography were not popular and presented research gaps for future work.