article · 2017
Energy consumption comparison for mobile video streaming encryption algorithm
Nouha Samet, Asma Ben Letaïfa, Mohamed Hamdi, Sami Tabbane
Cited by 2Abstract and details only
Abstract
Video streaming services over the Internet are being widely used in mobile networks. Currently, service providers are relying more and more on securing data transferred between the service provider, namely the video streaming server, and the end user. However, securing video content includes at least the use of video encryption algorithm requiring processing and memory capabilities, provoking more delay and energy consumption. In any other context, energy consumption may not be a very important issue, but when using a mobile device, it will certainly become one. In this paper, we are dressing a comparison between different symmetric encryption algorithms, in terms of energy consumption, while decrypting and viewing a video stream on mobile device.
Cite this paper
Samet, N., Letaïfa, A. B., Hamdi, M., & Tabbane, S. (2017). Energy consumption comparison for mobile video streaming encryption algorithm. https://doi.org/10.1109/iwcmc.2017.7986481
Samet, Nouha, et al. “Energy consumption comparison for mobile video streaming encryption algorithm.” vol. 101, 2017, pp. 1350–55, https://doi.org/10.1109/iwcmc.2017.7986481.
Samet, Nouha, Asma Ben Letaïfa, Mohamed Hamdi, and Sami Tabbane. 2017. “Energy consumption comparison for mobile video streaming encryption algorithm.” https://doi.org/10.1109/iwcmc.2017.7986481.
Samet, N. et al. (2017) ‘Energy consumption comparison for mobile video streaming encryption algorithm’. Available at: https://doi.org/10.1109/iwcmc.2017.7986481.
@article{samet2017energy,
title = {{Energy consumption comparison for mobile video streaming encryption algorithm}},
author = {Samet, Nouha and Letaïfa, Asma Ben and Hamdi, Mohamed and Tabbane, Sami},
volume = {101},
pages = {1350--1355},
year = {2017},
doi = {10.1109/iwcmc.2017.7986481}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.