Security Analysis of Cryptographic Algorithms: Hints from Machine Learning
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62495-7_43
Reference19 articles.
1. Ahmadzadeh, E., Kim, H., Jeong, O., Moon, I.: A novel dynamic attack on classical ciphers using an attention-based LSTM encoder-decoder model. IEEE Access 9, 60960–60970 (2021). https://doi.org/10.1109/ACCESS.2021.3074268
2. Alani, M.M.: Applications of machine learning in cryptography: a survey. In: Proceedings of the 3rd International Conference on cryptography, security and privacy (ICCSP ’19), pp. 23–27. Association for Computing Machinery, New York (2019). https://doi.org/10.1145/3309074.3309092
3. Lecture Notes in Computer Science();R Ankele,2018
4. Beaulieu, R., Shors, D., Smith, J., Treatman-Clark, S., Weeks, B., Wingers, L.: The SIMON and SPECK lightweight block ciphers. In: Proceedings of the 52nd Annual Design Automation Conference, pp. 1–6. Association for Computing Machinery, New York (2015).https://doi.org/10.1145/2744769.2747946
5. Lecture Notes in Computer Science;E Bellini,2023
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