Design Strong S-Boxes Based on Gray Wolf Optimizer
| dc.contributor.advisor | Abdullahi, A. I. | |
| dc.contributor.author | Lawah, A. I. | |
| dc.coverage.spatial | Гомель | ru_RU |
| dc.date.accessioned | 2023-11-15T11:55:32Z | |
| dc.date.available | 2023-11-15T11:55:32Z | |
| dc.date.issued | 2023 | |
| dc.identifier.citation | Lawah, A. I. Design Strong S-Boxes Based on Gray Wolf Optimizer / A. I. Lawah ; науч. рук. A. I. Abdullahi // Исследования и разработки в области машиностроения, энергетики и управления : материалы XXIII Междунар. науч.-техн. конф. студентов, аспирантов и молодых ученых, Гомель, 27–28 апр. 2023 г. : в 2 ч. Ч. 2 / М-во образования Респ. Беларусь, Гомел. гос. техн. ун-т им. П. О. Сухого ; под общ. ред. А. А. Бойко. – Гомель : ГГТУ им. П. О. Сухого, 2023. – C. 316-319. | ru_RU |
| dc.identifier.uri | https://elib.gstu.by/handle/220612/29289 | |
| dc.description.abstract | In this study, a method for robust designs of 8 × 8 substitution boxes (S-boxes) was developed using a metaheuristic approach based on nature-inspired Grey Wolf Optimization algorithm (GWO). The GWO developed as a unique metaheuristic using inspiration from how grey wolves hunt. the GWO's capacity to swiftly explore the search space for the near/optimal feature subsets that maximize any given fitness function. The experiment's findings demonstrated that the proposed S-box architecture has sufficient cryptographic properties. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | ГГТУ им. П.О. Сухого | ru_RU |
| dc.subject | Gray Wolf | ru_RU |
| dc.subject | S-Box | ru_RU |
| dc.subject | Cryptography | ru_RU |
| dc.title | Design Strong S-Boxes Based on Gray Wolf Optimizer | ru_RU |
| dc.type | Article | ru_RU |
