Machine learning-aided differential-linear attacks with applications to Des and Speck32/64
Abstract In CRYPTO 2019, Gohr introduced machine learning-aided differential cryptanalysis, demonstrating superior performance in key-recovery attacks compared to traditional methods. This advancement has sparked significant interest in exploring the potential of machine learning for enhancing the e...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2025-09-01
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| coleção: | Journal of King Saud University: Computer and Information Sciences |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s44443-025-00241-w |
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