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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 6, 2017.
Abstract: The security in wireless multimedia sensor network is a crucial challenge engendered by environmental, material constraint requirements and the energy consumption. Standard encryption algorithms do not agree with the real-time applications on this network. One of the solutions to the challenges mentioned above is to maintain the safety and reduce the energy consumption. In this article, a new approach with a high-energy efficiency, a high level of security and a big robustness against the statistics and differential attacks is presented in this paper. The new approach called Shift-AES admits simple operations such as the substitution, the transposition by or-exclusive and shift. It keeps the principle of Shannon for the diffusion and the confusion. Some criteria to measure the performances of the approach such as the visual inspection, histogram analysis, entropy images, the correlation of two adjacent pixels, the analysis against differential attacks, and the analysis of performance at the level run-time and throughput are successfully realized. The experimental evaluation of the proposed algorithm Shift-AES proves that the algorithm is ideal for wireless multimedia sensor network. With a satisfactory level of security, best term timeliness and throughput of transmission, compared with the AES standard encryption algorithm, this approach allows us to increase the lifetime of the network.
Amina Msolli, Haythem Ameur, Abdelhamid Helali and Hassen Maaref, “Secure Encryption for Wireless Multimedia Sensors Network” International Journal of Advanced Computer Science and Applications(IJACSA), 8(6), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080643
@article{Msolli2017,
title = {Secure Encryption for Wireless Multimedia Sensors Network},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080643},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080643},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {6},
author = {Amina Msolli and Haythem Ameur and Abdelhamid Helali and Hassen Maaref}
}
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.