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Dynamic Key Matrix of Hill Cipher Using Genetic Algorithm
Author(s) -
Andysah Putera Utama Siahaan
Publication year - 2017
Publication title -
international journal of advances in applied sciences
Language(s) - English
Resource type - Journals
eISSN - 2722-2594
pISSN - 2252-8814
DOI - 10.11591/ijaas.v6.i4.pp313-318
Subject(s) - plaintext , cipher , running key cipher , key (lock) , transposition cipher , encryption , algorithm , computer science , ciphertext , block cipher , theoretical computer science , mathematics , cryptography , computer network , computer security
The matrix in Hill Cipher was designed to perform encryption and decryption. Every column and row must be inserted by integer numbers. But, not any key that can be given to the matrix used for the process. The wrong determinant result cannot be used in the process because it produces the incorrect plaintext when doing the decryption after the encryption. Genetic algorithms offer the optimized way to determine the key used for encryption and decryption on the Hill Cipher. By determining the evaluation function in the genetic algorithm, the key that fits the composition will be obtained. By implementing this algorithm, the search of the key on the Hill Cipher will be easily done without spending too much time. Genetic algorithms do well if it is combined with Hill Cipher.

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