An Adaptive Algorithm for Image Encryption: Pseudo Random Generator with Crossover of Genetic Algorithm

Authors

  • Hazeem Baqer Taher Computer Science Dept. / Science College / Thi-Qar University

Abstract

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

Downloads

Published

2011-02-20

Issue

Section

Articles

How to Cite

An Adaptive Algorithm for Image Encryption: Pseudo Random Generator with Crossover of Genetic Algorithm. (2011). University of Thi-Qar Journal of Science, 2(4), 131-138. https://jsci.utq.edu.iq/index.php/main/article/view/454