A machine learning approach to predicting block cipher security

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

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Bibliographic Details
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
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Description
Summary: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