Optimizing cryptographic protocols against side channel attacks using WGAN-GP and genetic algorithms

Optimizing cryptographic protocols against side channel attacks using WGAN-GP and genetic algorithms

Abstract This research introduces a novel hybrid cryptographic framework that combines traditional cryptographic protocols with advanced methodologies, specifically Wasserstein Generative Adversarial Networks with Gradient Penalty (WGAN-GP) and Genetic Algorithms (GA). We evaluated several cryptogra...

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Bibliographic Details
Main Authors: Purushottam Singh, Prashant Pranav, Sandip Dutta
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
WGAN-GP
Genetic algorithms
Side-channel attacks
Cryptographic protocols
Data augmentation
Security optimization
Online Access:https://doi.org/10.1038/s41598-025-86118-4
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