Open AccessProposed Method to Generated Strong Keys by Fuzzy Extractor And Biometric
Author(s) -
Huda Saleem,
Huda Albermany,
H. S. Hadi
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.27.17672
Subject(s) - bch code , computer science , hash function , biometrics , algorithm , error detection and correction , fuzzy logic , cryptography , coding (social sciences) , data mining , pattern recognition (psychology) , theoretical computer science , artificial intelligence , mathematics , statistics , computer security
The typical scheme used to generated cryptographic key is a fuzzy extractor. The fuzzy extractor is the extraction of a stable data from biometric data or noisy data based on the error correction code (ECC) method. Forward error correction includes two ways are blocked and convolutional coding used for error control coding. “Bose_Chaudhuri_Hocquenghem” (BCH) is one of the error correcting codes employ to correct errors in noise data. In this paper use fuzzy extractor scheme to find strong key based on BCH coding, face recognition data used SVD method and hash function. Hash_512 converted a string with variable length into a string of fixed length, it aims to protect information against the threat of repudiation.