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

التفاصيل البيبلوغرافية
العنوان: Optimizing cryptographic protocols against side channel attacks using WGAN-GP and genetic algorithms
المؤلفون: Purushottam Singh, Prashant Pranav, Sandip Dutta
المصدر: Scientific Reports, Vol 15, Iss 1, Pp 1-24 (2025)
بيانات النشر: Nature Portfolio, 2025.
سنة النشر: 2025
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: WGAN-GP, Genetic algorithms, Side-channel attacks, Cryptographic protocols, Data augmentation, Security optimization, Medicine, Science
الوصف: 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 cryptographic protocols, including AES-ECB, AES-GCM, ChaCha20, RSA, and ECC, against critical metrics such as security level, efficiency, side-channel resistance, and cryptanalysis resistance. Our findings demonstrate that this integrated approach significantly enhances both security and efficiency across all evaluated protocols. Notably, the AES-GCM algorithm exhibited superior performance, achieving minimal computation time and robust side-channel resistance. This study underscores the potential of leveraging machine learning and evolutionary algorithms to advance cryptographic protocol security and efficiency, laying a robust foundation for future advancements in cybersecurity.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2045-2322
Relation: https://doaj.org/toc/2045-2322
DOI: 10.1038/s41598-025-86118-4
URL الوصول: https://doaj.org/article/e97a8d0e3b734eb9a84360af7cc475e0
رقم الانضمام: edsdoj.97a8d0e3b734eb9a84360af7cc475e0
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20452322
DOI:10.1038/s41598-025-86118-4