384548

Optimal alternative for suitability of S-boxes to image encryption based on m-polar fuzzy soft set decision-making criterion

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Last updated: 05 Jan 2025

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Abstract

Our aim in this work is to improve the design and model of real-life applications. We
put forward a standard based on m-polar fuzzy soft set decision-making criterion to
examine the optimal alternative for the suitability of S-boxes to image encryption
applications. The proposed standard studies the results of correlation analysis, entropy
analysis, contrast analysis, homogeneity analysis, energy analysis, and mean of absolute
deviation analysis. These analyses are applied to well-known substitution boxes. The
algorithm of outcomes of these analyses is additional observed and a m-polar fuzzy
soft set decision-making criterion is used to decide the optimal alternative for suitability
of S-box to image encryption applications. All results taken by using the reality values
for all S-boxes and experimental problems with reality values are discussed to show the
validity of the optimal alternative for the suitability of S-box to image encryption.

DOI

10.1186/s42787-020-0068-z

Keywords

8 × 8 S-boxes, image encryption, Homogeneity analysis, S-boxes, Decisionmaking criterion

Authors

First Name

Mohammed

Last Name

Khalaf

MiddleName

M.

Affiliation

Higher Institute of Engineering and Technology King Marriott, P.O. Box 3135, Alexandria, Egypt

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Volume

28

Article Issue

1

Related Issue

50535

Issue Date

2020-06-01

Receive Date

2024-10-07

Publish Date

2020-06-01

Page Start

1

Page End

25

Print ISSN

1110-256X

Online ISSN

2090-9128

Link

https://joems.journals.ekb.eg/article_384548.html

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https://joems.journals.ekb.eg/service?article_code=384548

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384,548

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Journal

Publication Title

Journal of the Egyptian Mathematical Society

Publication Link

https://joems.journals.ekb.eg/

MainTitle

Optimal alternative for suitability of S-boxes to image encryption based on m-polar fuzzy soft set decision-making criterion

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Article

Created At

21 Dec 2024