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

Author

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

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.

Keywords