Robust identity management systems provide a secure gateway to enterprise systems and act as good gatekeepers for adequate cybersecurity protection and strategy. A systematic survey of multimodal biometric authentication approaches to cyber risk management in identity management was undertaken in this research. Fifty research works were selected out of many 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. BlockChain technologies, deep learning and Cryptography was not popular and presented research gaps for future work.

Authors: Adedoyin Abiodun Talabi, Olumide Babatope Longe, Muhammad Aminu Ahmad, Kunle Olusanya

Published in: World Congress on Internet Security (WorldCIS-2021)

  • Date of Conference:  7-9 December 2021
  • DOI: 10.20533/WorldCIS.2021.0006
  • ISBN: 978-1-913572-40-2
  • Conference Location: Virtual (London, UK)