BUILD CRYPTOGRAPHIC SYSTEM FROM MULTI-BIOMETRICS USING MEERKAT ALGORITHM

Abstract

Presenting uncouth proposal for the design of investigating ways to use extraction feature from biometric user, rather than memorable password or passphrase as an attempt to produce a new and randomly cipher keys. Human users find it difficult to remember long cipher keys. Therefore, the proposed work takes the eye and ear as a multi-biometrics feature extraction for generating the cryptography keys. Meerkat Clan Key Generation Algorithm (MCKGA) is used in this work for key generation, firstly we generate keys with 128-bits, then we enhance our method by generating 256-bits, and finally we mix the keys produced from (eye and ear) and get robust key with 512-bits length, these keys are tested by NIST statically test to generate random keys used in encryption process. Our approach generates unique keys used in cryptographic system by using Advanced Encryption Standard (AES) algorithm.

Keywords

• multi-biometrics, ear, eye, encryption, decryption, meerkat algorithm