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Advanced encryption standard algorithm versus extreme learning machine based weight: a comparative study

Abdulzahra, Hayfaa Atee and Ahmad, Robiah and Mohd. Noor, Norliza and Abidulkarim, Kadhim Ilijan (2017) Advanced encryption standard algorithm versus extreme learning machine based weight: a comparative study. ARPN Journal of Engineering and Applied Sciences, 12 (3). pp. 849-855. ISSN 1819-6608

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Official URL: http://www.arpnjournals.org/jeas/research_papers/r...

Abstract

Advanced Encryption Standard (AES) is beingwidely used ciphering/deciphering system has emerged asa standard benchmark. Due to rapid advancement in the hardware specifications, thearchitecture security of AES became a major concern. Furthermore, the newly developed machine learning dependent encryption architecture called Extreme Learning Machine Based Weight (ELMWi) appears more suitable for sundry cryptographic implementations. This article compares the performance of ELMWi with AESvia statistical evaluation, where the parameters such as sensitivity, visual imperceptibility metrics, and key space are determined. Results reveal their similar performances. It is further argued that ELMWi outperforms the AES in perspective of architecture implementation.

Item Type:Article
Additional Information:RADIS System Ref No:PB/2017/11443
Uncontrolled Keywords:AES, machine learning
Subjects:T Technology
Divisions:Razak School of Engineering and Advanced Technology
ID Code:66189
Deposited By: Widya Wahid
Deposited On:17 Jul 2017 01:57
Last Modified:17 Jul 2017 01:57

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