BUILD CRYPTOGRAPHIC SYSTEM FROM MULTI-BIOMETRICS USING MEERKAT ALGORITHM

Autor:	Abdul Abdul-hossen, Duha D. Salman, Raghad A. Azeez
Rok vydání:	2019
Předmět:	Password Key generation Biometrics lcsh:T business.industry Computer science Advanced Encryption Standard multi-biometrics ear eye encryption decryption meerkat algorithm Passphrase Cryptography Encryption lcsh:Technology Cipher business Algorithm
Zdroj:	Iraqi Journal for Computers and Informatics, Vol 45, Iss 2, Pp 1-8 (2019)
ISSN:	2520-4912 2313-190X
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ed24e49f24612a1966d131f6fffa109 https://doi.org/10.25195/ijci.v45i2.46 Zobrazit plný text záznamu