dynSboxGA 0.1.2

A Genetic Algorithm-based dynamic AES S-box generator

Dynamic S-Box Generator

dynamic-sbox is a Python package that generates AES S-boxes using a Genetic Algorithm (GA) approach. It evaluates each S-box candidate based on non-linearity and avalanche effect, evolving toward cryptographically secure substitution boxes.

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📦 Features

• Random S-box generation with 256 unique values
• Fitness evaluation using:
  • Non-linearity (Differential uniformity)
  • Avalanche effect
• Genetic operations:
  • Crossover
  • Mutation
  • Repair
• Visualization of final S-box as a 16×16 hexadecimal matrix using pandas
• Exports the best S-box to a .txt file
• CLI support: generate-sbox

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🔧 Requirements

• Python 3.6+
• numpy
• pandas

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🚀 Installation

✅ From Source

pip install dynSboxGA

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🔍 Usage

As a Python Module

from dynamic_sbox import DynamicAESSBoxGA, display_sbox_hex_table

sbox_gen = DynamicAESSBoxGA()
best_sbox = sbox_gen.apply_ga()
sbox_gen.export_sbox(best_sbox)
display_sbox_hex_table(best_sbox)

As a CLI Tool

generate-sbox

• Generates best S-box using GA
• Saves result to dynamic_sbox.txt
• Displays 16×16 hex matrix

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📄 Output

• dynamic_sbox.txt: Contains 256 comma-separated integers (final S-box)
• Visual S-box in terminal (if running in Jupyter or with pandas display support)

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🧪 Future Enhancements

• Add unit tests
• Support other block sizes or substitution structures
• Integrate with AES encryption demos

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📜 License

MIT License © 2025 Mohammad Luqman, Salman Ali

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✨ Author

• Mohammad Luqman – GitHub Profile
• Salman Ali – GitHub Profile

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