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

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 encrypt...

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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Abdulzahra, Hayfaa Atee, Ahmad, Robiah, Mohd. Noor, Norliza, Abidulkarim, Kadhim Ilijan
التنسيق: مقال
منشور في: Asian Research Publishing Network 2017
الموضوعات:
T Technology
الوصول للمادة أونلاين:http://eprints.utm.my/id/eprint/66189/
http://www.arpnjournals.org/jeas/research_papers/rp_2017/jeas_0217_5696.pdf
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id my.utm.66189
record_format eprints
spelling my.utm.661892017-07-17T01:57:14Z http://eprints.utm.my/id/eprint/66189/ Advanced encryption standard algorithm versus extreme learning machine based weight: a comparative study Abdulzahra, Hayfaa Atee Ahmad, Robiah Mohd. Noor, Norliza Abidulkarim, Kadhim Ilijan T Technology 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. Asian Research Publishing Network 2017-01-02 Article PeerReviewed 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 http://www.arpnjournals.org/jeas/research_papers/rp_2017/jeas_0217_5696.pdf
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology
spellingShingle T Technology
Abdulzahra, Hayfaa Atee
Ahmad, Robiah
Mohd. Noor, Norliza
Abidulkarim, Kadhim Ilijan
Advanced encryption standard algorithm versus extreme learning machine based weight: a comparative study
description 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.
format Article
author Abdulzahra, Hayfaa Atee
Ahmad, Robiah
Mohd. Noor, Norliza
Abidulkarim, Kadhim Ilijan
author_facet Abdulzahra, Hayfaa Atee
Ahmad, Robiah
Mohd. Noor, Norliza
Abidulkarim, Kadhim Ilijan
author_sort Abdulzahra, Hayfaa Atee
title Advanced encryption standard algorithm versus extreme learning machine based weight: a comparative study
title_short Advanced encryption standard algorithm versus extreme learning machine based weight: a comparative study
title_full Advanced encryption standard algorithm versus extreme learning machine based weight: a comparative study
title_fullStr Advanced encryption standard algorithm versus extreme learning machine based weight: a comparative study
title_full_unstemmed Advanced encryption standard algorithm versus extreme learning machine based weight: a comparative study
title_sort advanced encryption standard algorithm versus extreme learning machine based weight: a comparative study
publisher Asian Research Publishing Network
publishDate 2017
url http://eprints.utm.my/id/eprint/66189/
http://www.arpnjournals.org/jeas/research_papers/rp_2017/jeas_0217_5696.pdf
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score 13.251813

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