A robust and secure multitrait based fuzzy extractor
Naveen Kumar Gupta, Manvjeet Kaur · 2017
Biocryptosystem is an emerging concept in the field of template security because it has advantages of cryptography and biometrics. Rather than randomly generating a cryptography key, fuzzy extractor is used to extract a cryptography key from biometric template itself. This paper proposes a multitrait fingervein and iris robust key extractor biocryptosystem which provides authentication and security of biometric data. The proposed scheme predicts using message authentication code with key manipulation security function whether any changes have been made in the publically stored secure sketch by an adversary and thereby make the system more robust. A common reference string model is used by random extractor function of fuzzy extractor to extract the secure cryptography key. The performance of the proposed system is measured using false acceptance rate and false rejection rate as the performance measures. The experimental results are accomplished using two different dataset CASIAv4 and live data of iris and one dataset of finger vein.