重庆理工大学学报：自然科学2012，Vol.26Issue(2)：79-85,7.
一种基于遗传算法的S盒优化设计
An Optimal Design of S-box Based on Genetic Algorithm
李亚鹏 1丁文霞2
作者信息
- 1. 国防科学技术大学电子科学与工程学院,长沙410073／武警医学院临床医学系,天津300162
- 2. 国防科学技术大学电子科学与工程学院,长沙410073
- 折叠
摘要
Abstract
In view of the weak ability of ＂Climbing＂ of the basic genetic algorithm, the ＂premature＂ feature, and low searching efficiency, this paper put forward an optimal design of S-box based on ge- netic algorithm. In the initial population of the production process, by adding a priori knowledge gen- erated S-box with partial advantageous performance, the speed and effect of convergence were im- proved to some degree. In genetic operator, using the best individual preservation method selection strategy, additional computing can be greatly reduced. Through the simulation experiments and results analysis, this algorithm is verified by the constructed S-box in cryptography properties. Convergence speed and fitness values have a very good improvement.关键词
基本遗传算法/选择算子/交叉算子/变异算子Key words
genetic algorithm/selection operator/crossover operator/mutation operator分类
信息技术与安全科学引用本文复制引用
李亚鹏,丁文霞..一种基于遗传算法的S盒优化设计[J].重庆理工大学学报：自然科学,2012,26(2):79-85,7.
