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DOI: 10.14569/IJACSA.2017.080735
PDF

Image Encryption Technique based on the Entropy Value of a Random Block

Author 1: Mohammed A. F. Al-Husainy
Author 2: Diaa Mohammed Uliyan

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 7, 2017.

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Abstract: The use of digital images in most fields of information technology systems makes these images usually contain confidential information. When these images transmitted via the Internet especially in the Cloud, it becomes necessary to protect these images in a way that ensure putting the confidential information that are contained far away from the attackers. A proposed image encryption technique has been presented in this work. This technique used a secret key that is extracted from the image content itself. Therefore, there is no need to find a secret channel to exchange any key where, sender and receiver authenticate each other with regards to a shared secret key extracted from the image. The technique constructs its secret key that is used to encrypt the image, based on the entropy values of a set of randomly selected blocks from the image itself. Vairous experiments have been conducted to evaluate the strength and performance of the technique. The experimental results shows that the proposed technique can be used effectively in the field of image security to protect and authenticate images.

Keywords: Image security; image encryption; secret key; image authentication.

Mohammed A. F. Al-Husainy and Diaa Mohammed Uliyan, “Image Encryption Technique based on the Entropy Value of a Random Block” International Journal of Advanced Computer Science and Applications(IJACSA), 8(7), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080735

@article{Al-Husainy2017,
title = {Image Encryption Technique based on the Entropy Value of a Random Block},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080735},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080735},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {7},
author = {Mohammed A. F. Al-Husainy and Diaa Mohammed Uliyan}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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