Biometrics are short of revocability and privacy while cryptography cannot adjust the user’s identity. By obtaining cryptographic keys using biometrics, one can obtain the features such as revocability, assurance about user’s identity, and privacy. Multi-biometrical based cryptographic key generation approach has been proposed, subsequently, left and right eye and ear of a person are uncorrelated from one to other, and they are treated as two independent biometrics and combine them in our system. None-the-less, the encryption keys are produced with the use of an approach of swarm intelligence. Emergent collective intelligence in groups of simple autonomous agents is collectively termed as a swarm intelligence. The Meerkat Clan Key Generation Algorithm (MCKGA) is a method for the generation of a key stream for the encryption of the plaintext. This method will reduce and distribute the number of keys. Testing of system, it was found that the keys produced by the characteristics of the eye are better than the keys produced by the characteristics of the ear. The advantages of our approach comprise generation of strong and unique keys from users’ biometric data using MCKGA and it is faster and accurate in terms of key generation.
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 itdifficult to remember long cipher keys. Therefore, the proposed work takes the eye and ear as a multi-biometrics feature extraction forgenerating the cryptography keys. Meerkat Clan Key Generation Algorithm (MCKGA) is used in this work for key generation, firstlywe generate keys with 128-bits, then we enhance our method by generating 256-bits, and finally we mix the keys produced from (eyeand ear) and get robust key with 512-bits length, these keys are tested by NIST statically test to generate random keys used in encryptionprocess. Our approach generates unique keys used in cryptographic system by using Advanced Encryption Standard (AES) algorithm.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.