@Article{cmc.2022.019455, AUTHOR = {Ahmed S. Sakr, M. Y. Shams, Amena Mahmoud, Mohammed Zidan}, TITLE = {Amino Acid Encryption Method Using Genetic Algorithm for Key Generation}, JOURNAL = {Computers, Materials \& Continua}, VOLUME = {70}, YEAR = {2022}, NUMBER = {1}, PAGES = {123--134}, URL = {http://www.techscience.com/cmc/v70n1/44413}, ISSN = {1546-2226}, ABSTRACT = {In this new information era, the transfer of data and information has become a very important matter. Transferred data must be kept secured from unauthorized persons using cryptography. The science of cryptography depends not only on complex mathematical models but also on encryption keys. Amino acid encryption is a promising model for data security. In this paper, we propose an amino acid encryption model with two encryption keys. The first key is generated randomly using the genetic algorithm. The second key is called the protein key which is generated from converting DNA to a protein message. Then, the protein message and the first key are used in the modified Playfair matrix to generate the cypher message. The experimental results show that the proposed model survives against known attacks such as the Brute-force attack and the Ciphertext-only attack. In addition, the proposed model has been tested over different types of characters including white spaces and special characters, as all the data is encoded to 8-bit binary. The performance of the proposed model is compared with other models using encryption time and decryption time. The model also balances all three principles in the CIA triad.}, DOI = {10.32604/cmc.2022.019455} }