Improved Neural Distinguishers with (Related-key) Differentials: Applications in SIMON and SIMECK. (arXiv:2201.03767v1 [cs.CR])

Web: http://arxiv.org/abs/2201.03767

In CRYPTO 2019, Gohr made a pioneering attempt, and successfully applied deep
learning to the differential cryptanalysis against NSA block cipher Speck32/64,
achieving higher accuracy than the pure differential distinguishers. By its
very nature, mining effective features in data plays a crucial role in
data-driven deep learning. In this paper, in addition to considering the
integrity of the information from the training data of the ciphertext pair,
domain knowledge about the structure of differential cryptanalysis is also
considered into the …

key