Encryption as a Service using Parallel Computing Frameworks

Authors

  • Alexandru Costin Stanimir The Bucharest University of Economic Studies

Keywords:

OpenCL, AES, Cloud Computing, C 11, REST Services, Benchmarking

Abstract

In this article I present a study of an implementation named Encryption as a service which is a web service that can be deployed on a various number of devices and that can take advantage of parallelism in order to provide basic functionality of a cryptographic system: encrypt, decrypt and store data. This goal was achieved by implementing symmetric key cryptography algorithm Advanced Encryption Standard (AES) using Open Computing Language (OpenCL) and exposed this functionality through a REST web service .The performance results were obtained by deploying this solution on Windows Azure platform in order to take advantage of 20x CPU computing power m Amazon Web Service platform equipped with 2x Nvidia Tesla K20 GPU and regular home user hardware. This study represents a first step in a broader project which final goal is to provide full support for all encryption algorithms.

Author Biography

Alexandru Costin Stanimir, The Bucharest University of Economic Studies

IT&C Security Master

Department of Economic Informatics and Cybernetics

References

National Institute of Standards and Technology (NIST), FIPS 197 : Advanced Encryption Standard (AES ),1999., The AES implantation based on OpenCL for multi/many core architecture

Svetlin A. Manavski, CUDA compatible GPU as an efficient hardware accelerator for AES cryptography , International Conference on Signal Processing and Communi-cation, ICSPC 2007, (Dubai, United Arab Emirates), pp.65-68,2007. http://www.csrc.nist.gov/publications/fips/fips197/fips-197.pdf

The features of C99 are described in the document “Rationale for International Standard – Programming Languages – C “, Revision 5.10, available at: http://www.open-std.org/jtc1/sc22/wg14/www/C99RationaleV5.10.pdf

Khronos Group, Kernel definition, page 20 of http://www.khronos.org/registry/cl/ specs/opencl-1.0.48.pdf

Wen-Mei W. Hwu (Ed.), GPU Computing Gems Emerald Edition. Morgan Kaufman, 2011.

J. W. Bos, D. A. Osvik, and D. Stefan, “Fast implementations of AES on various platforms”, Tech. rep., Cryptology ePrint Archive, Report 2009/501, 2009 [Online]. Available: http://eprint.iacr.org

David B. Kirk and Wen-mei W. Hwu, Programming Massively Parallel Processors: A Hands-on Approach, Burlington, MA: Morgan Kaufmann Publishers, 2010

Downloads

Published

2013-12-30

How to Cite

Stanimir, A. C. (2013). Encryption as a Service using Parallel Computing Frameworks. Journal of Mobile, Embedded and Distributed Systems, 5(4), 136-141. Retrieved from http://jmeds.eu/index.php/jmeds/article/view/Encryption_as_a_Service_using_Parallel_Computing_Frameworks

Issue

Vol. 5 No. 4 (2013): Security for Mobile technologies

Section

Articles

License

Authors who publish with this journal agree to the following terms:


    1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

    1. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

    1. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

    1. The author(s) is responsible for the correctness and legality of the paper content.

    1. Papers that are copyrighted or published will not be taken into consideration for publication in JMEDS It is the author(s) responsibility to ensure that the paper does not cause any copyright infringements and other problems.

    1. It is the responsibility of the author(s) to obtain all necessary copyright release permissions for the use of any copyrighted materials in the paper prior to the submission.

  1. The Author(s) retains the right to reuse any portion of the paper, in future works, including books, lectures and presentations in all media, with the condition that the publication by JMEDS is properly credited and referenced.
Creative Commons License
JMEDS articles by Journal of Mobile, Embedded and Distributed Systems (JMEDS) is licensed under a Creative Commons Attribution 4.0 International License.
Based on a work at http://jmeds.eu.
Permissions beyond the scope of this license may be available at http://jmeds.eu/index.php/jmeds/about/submissions#copyrightNotice.