Design and Development of Multidimensional Chaotic Maps with Genetic Operator

Автор: Sudeep Nooly B., Ravindra S.

Журнал: International Journal of Mathematical Sciences and Computing @ijmsc

Статья в выпуске: 3 vol.9, 2023 года.

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Security of a digital image can be achieved in number of ways including image Encryption and Decryption. Encryption technique tries to convert a plain image into the cipher image which is hard to understand. The decryption technique tries to convert a cipher image into the plain image. The image encryption is done inorder to provide security from attacks. In this work we aim to develop an image encryption technique based on multidimensional chaotic map with genetic operator. One of the powerful features of genetic operator is crossover which is used to confuse the pixels of the image. A combination of multidimensional chaotic maps, namely, Logistic, Henon and Chebyshev will be used to generate pseudorandom sequence which will be XOR'ed to obtain an unpredictable sequence. This sequence will be then applied to the Crossover unit and upon XOR'ed to obtain an encrypted image. Later the same upredictable sequence is generated while decrypting the image. By combining the entire different dimensional chaotic map namely Logistic, Henon, Chebyshev map along with the gentic operator called crossover will enhance the extra security to the digital image.

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Multidimensional Chaotic Maps, Statisical Analysis, Image Encryption

Короткий адрес: https://sciup.org/15019056

IDR: 15019056   |   DOI: 10.5815/ijmsc.2023.03.02

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