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Challenges in data representation for efficient execution of encryption operation


Citation

Afendee Mohamed, Mohamad and Garba Shawai, Yahaya and Almaiah, Mohammed Amin and Derahman, Mohd Noor and Lutfi, Abdalwali and Abu Bakar, Khairul Azmi (2024) Challenges in data representation for efficient execution of encryption operation. Bulletin of Electrical Engineering and Informatics, 13 (2). pp. 1207-1216. ISSN 2089-3191; ESSN: 2302-9285

Abstract

Big number operation has always been a bottleneck to computer system as it imposes high demand on computing power. With a limited power available, operations such as exponentiation and multiplication involving large integer belonging to encryption process requires grave scrutiny. One way to address this issue is by replacing an original complex computation into a sequence of small computations that in the end produces the same results. This paper takes an evolutionary approach to survey numerous articles that have contributed to the advancement of integer representation. Numerous representations were proposed, those that come into play concentrated on reducing non-zero digits and limiting non-zero spacing other than allowing subtraction operation. A comparison was made to distinguish the properties of each method from the others. This detailed outlook can be a guide for identifying the correct representation to be chosen for implementation within specific application.


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Official URL or Download Paper: https://beei.org/index.php/EEI/article/view/5437

Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.11591/eei.v13i2.5437
Publisher: Institute of Advanced Engineering and Science
Keywords: Efficient execution; Encryption operation; Minimal representation; Modular exponentiation; Non-zero digits
Depositing User: Scopus 2024
Date Deposited: 04 Jun 2024 08:03
Last Modified: 04 Jun 2024 08:03
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.11591/eei.v13i2.5437
URI: http://psasir.upm.edu.my/id/eprint/111151
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