Use of Entropy Pools Obtained from Optimisation Based Random Number Generators in S-Box Generation and Performance Analysis of Image Encryption

Year 2025, Volume: 14 Issue: 4, 38 - 49, 30.12.2025

Eyüp Eröz , Erkan Tanyıldızı

https://doi.org/10.46810/tdfd.1689675

Abstract

This study analyzes how optimization algorithms and random number generators jointly produce random numbers (the entropy pool) used to generate S-boxes for image encryption. As a result of running the Bat Algorithm (BA), Golden Sine Search Algorithm - 2 (GoldSA-2) and Particle Swarm Optimization (PSO) algorithms together with Linear Feedback Shift Register (LFSR) and Delayed Fibonacci Generators (LFG), initial configurations suitable for generator structures and successfully passing the NIST SP 800-22 test functions, which is our objective function, were determined. Random number sequences that pass 15/15 of the NIST tests accepted in the literature are transferred to the entropy pool. Chi-square and autocorrelation analyses of the random numbers taken from the entropy pool, which are other test methods, are evaluated, and the success of the random numbers obtained with successful results in the areas of S-boxing and image encryption applications is shown. The effectiveness of random numbers in practical applications is investigated by using S-box analysis and image encryption analysis metrics. The findings show that high-quality entropy pools, obtained from optimization-based random number generators, exhibit superior cryptographic properties compared to conventional methods in S-box generation and image encryption applications.

Keywords

Optimization Algorithms , Entropy Pool , S-box , Image Encryption

Optimizasyon Tabanlı Rastgele Sayı Üreteçlerinden Elde Edilen Entropi Havuzlarının S-Box Üretiminde Kullanımı ve Görüntü Şifreleme Performans Analizi

Abstract

Bu çalışma, optimizasyon algoritmalarının ve rastgele sayı üreteçlerinin birlikte görüntü şifreleme için S-kutuları oluşturmada kullanılan rastgele sayıları (entropi havuzu) nasıl ürettiğini analiz etmektedir. Yarasa Algoritması (BA), Altın Sinüs Arama Algoritması - 2 (GoldSA-2) ve Parçacık Sürü Optimizasyonu (PSO) algoritmalarının Doğrusal Geri Beslemeli Kaydırmalı Kaydedici (LFSR) ve Gecikmeli Fibonacci Üreteçleri (LFG) ile birlikte çalıştırılması sonucunda üreteç yapılarına uygun ve amaç fonksiyonumuz olan NIST SP 800-22 test fonksiyonlarını başarıyla geçen başlangıç konfigürasyonları belirlenmiştir. Literatürde kabul gören NIST testlerinin 15/15'inden geçen rastgele sayı dizileri entropi havuzuna aktarılmıştır. Entropi havuzundan alınan rastgele sayıların diğer test yöntemleri olan ki-kare ve otokorelasyon analizleri değerlendirilmiş, başarılı sonuçlar ile elde edilen rastgele sayıların S-kutusu üretimi ve görüntü şifreleme alanlarındaki başarısı gösterilmiştir. Rastgele sayıların pratik uygulamalardaki etkinliği S-kutusu analizi ve görüntü şifreleme analizi metrikleri kullanılarak araştırılmıştır. Elde edilen bulgular, optimizasyon tabanlı rastgele sayı üreteçlerinden elde edilen yüksek kaliteli entropi havuzlarının, S-kutusu üretimi ve görüntü şifreleme uygulamalarında geleneksel yöntemlere kıyasla daha üstün kriptografik özellikler sergilediğini göstermektedir.

Keywords

Optimizasyon Algoritmaları , Entropi Havuzu , S-kutusu , Görüntü Şifreleme

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