Volume 8, Issue 3 (March 2021), Pages: 30-35
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Original Research Paper
Title: Application of fuzzy soft sets to analyze the statistical strength of S-boxes
Author(s): Asima Razzaque 1, Inayatur Rehman 2, *, Shahid Razzaque 3, Muhammad Iftikhar Faraz 4, Muhammad Asif Gondal 2
Affiliation(s):
1Basic Science Department, King Faisal University, Hofuf, Saudi Arabia
2Department of Mathematics and Sciences, College of Arts and Applied Sciences, Dhofar University, Salalah, Oman
3Pakistan Institute of Development Economics, Quaid-e-Azam University Campus, Islamabad, Pakistan
4Department of Mechanical Engineering, College of Engineering, King Faisal University, Hofuf, Saudi Arabia
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* Corresponding Author.
Corresponding author's ORCID profile: https://orcid.org/0000-0002-6993-945X
Digital Object Identifier:
https://doi.org/10.21833/ijaas.2021.03.004
Abstract:
For the evaluation of the substitution boxes, the majority logic criterion is used to analyze the statistical strength of the existing substitution boxes. The main objective of this paper is to make a decision on the analysis and selection of the most appropriate S-box based on a fuzzy soft-aggregation operator. Instead of the usual practice in which a single parameter is considered, we are considering several parameters that will definitely give us a comprehensive analysis of the S-boxes.
© 2020 The Authors. Published by IASE.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Soft set, Fuzzy set, Fuzzy soft set, FS-aggregation operator, S-box, Majority logic criterion
Article History: Received 20 July 2020, Received in revised form 17 October 2020, Accepted 7 November 2020
Acknowledgment:
No Acknowledgment.
Compliance with ethical standards
Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Citation:
Razzaque A, Rehman I, and Razzaque S et al. (2021). Application of fuzzy soft sets to analyze the statistical strength of S-boxes. International Journal of Advanced and Applied Sciences, 8(3): 30-35
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