标题
SBOX-CGA: substitution box generator based on chaos and genetic algorithm
作者
关键词
-
出版物
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-07-20
DOI
10.1007/s00521-022-07589-4
参考文献
相关参考文献
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- Selective chaotic maps Tiki-Taka algorithm for the S-box generation and optimization
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- A method for generation of substitution box based on random selection
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- Optimizing S-box generation based on the Adaptive Agent Heroes and Cowards Algorithm
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- An effective method to improve nonlinearity value of substitution boxes based on random selection
- (2021) Fırat Artuğer et al. INFORMATION SCIENCES
- On the effect of chaotic system in performance characteristics of chaos based s-box designs
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- A Novel Method for Performance Improvement of Chaos-Based Substitution Boxes
- (2020) Fırat Artuğer et al. Symmetry-Basel
- A genetic algorithm for constructing bijective substitution boxes with high nonlinearity
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- Execution examination of chaotic S-box dependent on improved PSO algorithm
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- Fractal sorting matrix and its application on chaotic image encryption
- (2020) Yongjin Xian et al. INFORMATION SCIENCES
- A novel efficient substitution-box design based on firefly algorithm and discrete chaotic map
- (2018) Hussam A. Ahmed et al. NEURAL COMPUTING & APPLICATIONS
- Efficient probabilistic algorithm for estimating the algebraic properties of Boolean functions for large n
- (2017) Yongzhuang Wei et al. INFORMATION SCIENCES
- A novel method for designing S-box based on chaotic map and Teaching–Learning-Based Optimization
- (2016) Tarek Farah et al. NONLINEAR DYNAMICS
- A group theoretic approach to construct cryptographically strong substitution boxes
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- A novel method to design S-box based on chaotic map and genetic algorithm
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- Chaos embedded particle swarm optimization algorithms
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- A novel heuristic method for obtaining S-boxes
- (2006) Guo Chen CHAOS SOLITONS & FRACTALS
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