Citation

Waheed, Adil and Subhan, Fazli and Mohd Su'ud, Mazliham and Alam, Muhammad Mansoor (2024) Molding robust S-box design based on linear fractional transformation and multilayer Perceptron: Applications to multimedia security. Egyptian Informatics Journal, 26. p. 100480. ISSN 1110-8665

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Abstract

This study introduces a novel and refined approach for generating exceptionally efficient S-boxes. The proposed methodology employs a hybrid approach that combines linear fractional transformation (LFT) with a multilayer perceptron (MLP) architecture. This method makes use of a perceptron with three layers: input, hidden, and output. Each layer's neuron count is fine-tuned to conform to the S-box layout. In addition, a threshold nonlinear transformation is utilized to increase nonlinearity, and a novel algorithm for boosting nonlinearity is introduced. The utilization of both LFT and MLP approaches has led to the development of S-boxes that possess nearly ideal average nonlinearity values, surpassing those that have been presented in literature. Notably, one S-box achieved an exceptional nonlinearity score of 114.50. Furthermore, to demonstrate how well the S-box works, this study also employs it in an image encryption application.

Item Type:	Article
Uncontrolled Keywords:	S-box, Nonlinearity, Multilayer perceptron, Image encryption
Subjects:	Q Science > Q Science (General)
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	30 May 2024 02:51
Last Modified:	30 May 2024 02:51
URII:	http://shdl.mmu.edu.my/id/eprint/12481

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