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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 6, 2017.
Abstract: In recent years, chaos has been extensively used in cryptographic systems. In this regard, one dimensional chaotic maps gained increased attention because of their intrinsic simplicity and ease in application. Many image encryption algorithms that are based on chaotic substitution boxes (S-boxes) have been studied in the last few years but some of them appear to be vulnerable to robustness. We, in this paper, propose an efficient scheme for image encryption that utilizes a composition of chaotic substitution based on tent map with the scrambling effect of the Arnold transform. The proposed construction algorithm for substitution box is, on one hand, straightforward and saves omputational labour, while on the other, it provides highly efficient performance outcomes. The understudy scheme uses an S-box, that is based on 1-D chaotic tent map. We partially encrypt the image using this S-box and then apply certain number of iterations of the Arnold transform to attain the fully encrypted image. For decryption we apply the reverse process. The strength of the proposed method is determined through the most significant techniques used for the statistical analysis and it is proved that the anticipated algorithm shows coherent results.
Shabieh Farwa, Tariq Shah, Nazeer Muhammad, Nargis Bibi, Adnan Jahangir and Sidra Arshad, “An Image Encryption Technique based on Chaotic S-Box and Arnold Transform” International Journal of Advanced Computer Science and Applications(IJACSA), 8(6), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080647
@article{Farwa2017,
title = {An Image Encryption Technique based on Chaotic S-Box and Arnold Transform},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080647},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080647},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {6},
author = {Shabieh Farwa and Tariq Shah and Nazeer Muhammad and Nargis Bibi and Adnan Jahangir and Sidra Arshad}
}
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.