14407

Portable parallelized blowfish via RenderScript

Spencer Davis, Brandon Jones, Hai Jiang
Department of Computer Science, Arkansas State University, USA
16th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2015

@inproceedings{davis2015portable,

   title={Portable parallelized blowfish via RenderScript},

   author={Davis, Spencer and Jones, Brandon and Jiang, Hai},

   booktitle={Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2015 16th IEEE/ACIS International Conference on},

   pages={1–6},

   year={2015},

   organization={IEEE}

}

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The recent rise in the popularity of mobile computing has brought the attention of mobile security to the forefront. As users depend more on tablets and smartphones, sensitive data is left to be secured using devices with vastly weaker resources than a typical computer. As mobile technology matures, the industry is starting to provide devices with multiple CPU cores in addition to other coprocessors such as GPUs. By using RenderScript, a new language technology on the Android platform, we hope to utilize the power of parallelism to increase the efficiency of the Blowfish encryption algorithm, while at the same time leveraging the power of RenderScript’s heterogenous execution to cope with the quickly changing mobile architectures in order to make the use of data encryption more feasible on a mobile platform. Experimental results demonstrate the effectiveness of RenderScript.
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