Hybrid Population-Based Hill Climbing Algorithm for Generating Highly Nonlinear S-boxes

Hybrid Population-Based Hill Climbing Algorithm for Generating Highly Nonlinear S-boxes

This paper introduces the hybrid population-based hill-climbing (HPHC) algorithm, a novel approach for generating cryptographically strong S-boxes that combines the efficiency of hill climbing with the exploration capabilities of population-based methods. The algorithm achieves consistent generation...

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Bibliographic Details
Main Authors: Oleksandr Kuznetsov, Nikolay Poluyanenko, Kateryna Kuznetsova, Emanuele Frontoni, Marco Arnesano
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Computers
Subjects:
S-box generation
cryptographic primitives
nonlinear substitution
hybrid optimization
hill climbing
evolutionary algorithms
Online Access:https://www.mdpi.com/2073-431X/13/12/320
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