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Optimizing cryptographic protocols against side channel attacks using WGAN-GP and genetic algorithms
Purushottam Singh1, Prashant Pranav2, Sandip Dutta2
1Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, 835215, India. purushottamsingh@outlook.com.
Scientific Reports
|January 17, 2025
Summary
This study introduces a hybrid cryptographic framework using machine learning and genetic algorithms to enhance security and efficiency. AES-GCM showed superior performance, demonstrating advancements in cybersecurity protocols.
Area of Science:
- Cybersecurity
- Cryptography
- Machine Learning
Background:
- Traditional cryptographic protocols face evolving security threats.
- Enhancing efficiency and resistance to cryptanalysis is crucial for modern cybersecurity.
Purpose of the Study:
- To introduce a novel hybrid cryptographic framework.
- To evaluate the impact of advanced methodologies on cryptographic protocols.
- To assess security, efficiency, and resistance to attacks.
Main Methods:
- Integration of Wasserstein Generative Adversarial Networks with Gradient Penalty (WGAN-GP) and Genetic Algorithms (GA).
- Evaluation of cryptographic protocols: AES-ECB, AES-GCM, ChaCha20, RSA, and ECC.
- Analysis of security level, efficiency, side-channel resistance, and cryptanalysis resistance.
Main Results:
- The hybrid framework significantly enhances security and efficiency across all tested protocols.
- AES-GCM demonstrated superior performance with minimal computation time.
- Robust side-channel resistance was observed with the integrated approach.
Conclusions:
- Machine learning and evolutionary algorithms can significantly advance cryptographic protocol security and efficiency.
- The developed framework provides a robust foundation for future cybersecurity innovations.
- Hybrid approaches offer a promising direction for next-generation cryptographic solutions.
Keywords:
Cryptographic protocolsData augmentationGenetic algorithmsSecurity optimizationSide-channel attacksWGAN-GPMore Related Videos
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