An Adaptive Algorithm for Image Encryption: Pseudo Random Generator with Crossover of Genetic Algorithm
2019
Hazeem Baqer Taher
In this paper proposed an adaptive approach for image encryption. We used linear congruential random number generators to produce the pseudo random sequence. The input image is encrypted using pseudo random with crossover of genetic algorithm. This new encryption method can be used to encrypt an image with high secure, fast and lossless. It can be used to send the encrypted image through network and secure data storage (such as important documents). To validate our work, several experiments are executed on a number of different features (details) images. The proposed method reduces the weakness area in the encryption method and increasing the randomness of the encrypted image
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