BUILD CRYPTOGRAPHIC SYSTEM FROM MULTI-BIOMETRICS USING MEERKAT ALGORITHM

Authors

  • Duha Salman University of Technology
  • Raghad Azeez University of Baghdad
  • Abdul Abdul-hossen University of Technology

DOI:

https://doi.org/10.25195/ijci.v45i2.46

Keywords:

Multi-Biometrics, Ear, Eye, Encryption, Decryption, 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.

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Author Biographies

Duha Salman, University of Technology

Department of Computer Science

Raghad Azeez, University of Baghdad

College of Ibn Rushd

Abdul Abdul-hossen, University of Technology

Department of Computer Science

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Published

2019-12-01