Chaotic Genetic-fuzzy encryption technique

Автор: Hamdy M. Mousa

Журнал: International Journal of Computer Network and Information Security @ijcnis

Статья в выпуске: 4 vol.10, 2018 года.

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As the result of increasing use of internet in daily communication and the importance of information security during data storage and transmission process, we propose iterative Chaotic Genetic-fuzzy Encryption Technique(C-GET) in order to enhance secured encryption technique and less predictable. In this technique,binarize any digital data type. The main encryption stages of C-GET are chaotic map functions, fuzzy logic and genetic operations. Mathematic operations and rotation are also included that increase encryption quality. Images are used for testing propose. For testing C-GET,digitalimagesareusedbecause they become an important resource of communication. The original and reconstructed data are identical. Experimental results show that C-GET technique has multilayer protection stages against various attacks and a powerful security based on the multi-stages, multiple parameters, fuzzy logic and genetic operations. Decrypted data is nearly randomness and has negligible correlation with secret data.

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Cryptography, chaotic function, fuzzy logic and Genetic Algorithm

Короткий адрес: https://sciup.org/15015590

IDR: 15015590   |   DOI: 10.5815/ijcnis.2018.04.02

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