Secure and efficient multibiometric fusion-based cryptosystem using blind separation encryption algorithm Online publication date: Sat, 16-Jul-2016
by R. Divya; V. Vijayalakshmi
International Journal of Biometrics (IJBM), Vol. 8, No. 2, 2016
Abstract: Multibiometrics is the usage of more than one physiological or behavioural characteristic to identify an individual. Multibiometrics is resilient to spoofing and has low false acceptance rate (FAR). However, multibiometrics requires storage of multiple biometric templates for each user which increase the risk to user privacy and system security. The existing fuzzy logic has several limitations like non-revocability, cross matching and brute force attack. To overcome the above limitations of fuzzy logic, hard fuzzy logic is proposed and implemented for the three biometric features and was simulated. Further authentication is extended to cryptosystem by making use of a novel cryptographic algorithm namely blind separation encryption in which the client and server are authenticated and then the encryption is performed. Discrete wavelet transform (DWT) and sparse representation are implemented to reduce the redundant data and memory space.
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