Publication Type:

Conference Paper

Authors:

Hadagali, C.

Source:

8th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2017, Institute of Electrical and Electronics Engineers Inc. (2017)

ISBN:

9781509030385

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041412207&doi=10.1109%2fICCCNT.2017.8203979&partnerID=40&md5=f5425c9e39ab0de586e3a2ae97b1980e

Keywords:

Advanced Encryption Standard, Application programming interfaces (API), Cryptography, Data privacy, EME2 AES, Encryption algorithms, Full disk encryptions, Multi-core machines, Multiprocessing systems, Parallel implementations, Security of data, Sequential execution, Speed up

Abstract:

<p>Volume of digital data is increasing at a faster rate and the security of the data is at risk while being transit on a network as well as at rest. The execution time of full disk encryption in large servers is significant because of the computational complexity associated with disk encryption. Hence it is necessary to reduce the execution time of full disk encryption from the application point of view. In this work a full disk encryption algorithm namely EME2 AES (Encrypt Mix Encrypt V2 Advanced Encryption Standard) is analyzed. The execution speed of this algorithm is reduced by means of multicore compatible parallel implementation which makes use of available cores. Parallel implementation is executed on a multicore machine with 8 cores and speed up on the multicore implementation is measured. Results show that the multicore implementation of EME2 AES using OpenMP is up to 2.85 times faster than sequential execution for the chosen infrastructure and data range. © 2017 IEEE.</p>

Notes:

cited By 0; Conference of 8th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2017 ; Conference Date: 3 July 2017 Through 5 July 2017; Conference Code:133025

Cite this Research Publication

C. Hadagali, “Multicore implementation of EME2 AES disk encryption algorithm using OpenMP”, in 8th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2017, 2017.