earticle

영어

In this study, we consider application of deep learning methods in the cryptanalysis of tiny DES algorithm, which is a DES-like cipher. We develop two types of deep learning architectures to perform the cryptanalysis of tiny DES. It is a known-plaintext attack where the deep learning models only need ciphertext and plaintext pair as training and the learning target is to predict correct plaintext when a ciphertext is given. Simulation results have shown that deep learning methods cannot 100% recover the plaintext of tiny DES but can greatly reduce the analysis difficulty for plaintext recovery.