Exploring a Q-learning-based chaotic naked mole rat algorithm for S-box construction and optimization

Kamal Zuhairi, Zamli and Din, Fakhrud and Alhadawi, Hussam S. (2023) Exploring a Q-learning-based chaotic naked mole rat algorithm for S-box construction and optimization. Neural Computing and Applications, 35 (14). pp. 10449-10471. ISSN 0941-0643. (Published)

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Abstract

This paper introduces a new variant of the metaheuristic algorithm based on the naked mole rat (NMR) algorithm, called the Q-learning naked mole rat algorithm (QL-NMR), for substitution box construction and optimization. Unlike most competing works (which typically integrate a single chaotic map into a particular metaheuristic algorithm), QL-NMR assembles five chaotic maps (i.e., Chebyshev, logistic, circle, Singer, and sinusoidal) as part of the algorithm itself. Using a Q-learning table, QL-NMR remembers the historical performance of each chaotic map during the S-box construction process allowing just-in-time adaptive selection based on its current performance. Experimental results for 8 × 8 S-box generation demonstrate that the proposed QL-NMR gives competitive performance against other existing works, particularly in terms of nonlinearity and strict avalanche criteria. To further demonstrate the effectiveness of our proposed work, we have subjected the QL-NMR for image segmentation using multilevel thresholding. The results confirm that QL-NMR gives better performance than its predecessor NMR. Finally, QL-NMR S-box also outperformed NMR S-box in image encryption.

Item Type:	Article
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Chaotic maps; Naked mole rat; Substitution-box
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division:	Faculty of Computing
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	28 May 2024 07:57
Last Modified:	28 May 2024 07:57
URI:	http://umpir.ump.edu.my/id/eprint/40759
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