Utilizing Ant Colony Optimization to Construct an S-Box Based on the 2D Logistic-Sine Coupled Map
Yükleniyor...
Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Nature Singapore
Erişim Hakkı
info:eu-repo/semantics/restrictedAccess
Özet
ACO is a combinatorial optimization method that draws inspiration from food searching, pheromone trails, and heuristic information employed by ants. The Substitution Box (S-Box) holds significant importance within symmetric key cryptography algorithms, notably in block ciphers. A secure S-Box requires high non-linearity, resistance to algebraic attacks, and diffusion of input changes to output changes. This study investigates the utilization of ACO for constructing an S-Box, employing the 2D Logistic-Sine Coupled Map (2D-LSCM) as the underlying framework. More precisely, a version of ACO for continuous optimization is used for optimizing the parameters of 2DLSCM. This chaotic map is used for an effective shuffling of an S-Box component and in the permutation of an image encryption. The analyses of results and security provide evidence that S-Box exhibits a high level of security suitable for an image encryption scheme.
Açıklama
Anahtar Kelimeler
Substitution Box, S-Box, cryptography algorithms, utilization of ACO, 2D Logistic, 2D Logistic-Sine Coupled Map, 2D-LSCM, 2DLSCM
Kaynak
Applications of Ant Colony Optimization and its Variants
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Şahinkaya, S., Ustun, D. (2024). Utilizing Ant Colony Optimization to Construct an S-Box Based on the 2D Logistic-Sine Coupled Map. In: Dey, N. (eds) Applications of Ant Colony Optimization and its Variants. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-99-7227-2_6
