A machine learning approach to predicting block cipher security

• Main Authors: Lee T.R., Teh J.S., Yan J.L.S., Jamil N., Yeoh W.-Z.
• Other Authors: 57219420025
• Format: Conference Paper
• Published: Institute for Mathematical Research (INSPEM) 2023

Forecasting; Machine learning; Security of data; Turing machines; Block ciphers; Feistel structures; Hyperparameters; Machine learning approaches; Permutation patterns; Prediction accuracy; Security margins; Training data; Cryptography