Developing a secure image encryption technique using a novel S-box constructed through real-coded genetic algorithm's crossover and mutation operators

被引:1
|
作者
Ustun, Deniz [1 ]
Sahinkaya, Serap [2 ]
Atli, Nurdan [1 ]
机构
[1] Tarsus Univ, Comp Engn Dept, Mersin, Turkiye
[2] Tarsus Univ, Dept Nat & Math Sci, Mersin, Turkiye
关键词
Crossover; Mutation; Real-coded genetics; S-box; Image encryption; CHAOTIC MAP; OPTIMIZATION; DESIGN;
D O I
10.1016/j.eswa.2024.124904
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The objective of this study is to craft a novel S-Box tailored to stringent security standards, achieved through iterative application of crossover and mutation operators inherent to real-coded genetic algorithms, ensuring robust image encryption. The designed S-Box is rigorously evaluated across multiple criteria, demonstrating its superiority over comparable S-Box designs found in existing literature. Furthermore, a secure image encryption method based on the designed S-Boxes devised and also including a 2D hyperchaotic Styblinski-Tang map. Thorough security assessments, encompassing statistical analysis and resilience testing against diverse attacks and noise, it is validated the encryption technique's efficiency and applicability across varied scenarios.
引用
收藏
页数:20
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