A neural network-based encryption system built with TensorFlow and Keras. It securely transforms plaintext into ciphertext and back, providing strong protection against cryptanalysis and adversarial ...

Abstract: Recently, differential-neural cryptanalysis, which combines deep learning with differential cryptanalysis, has gained attention as a powerful and practical cryptanalysis method. In this ...

Front differential failures are extremely rare, but when they do start to fail, you may hear grinding, feel vibrations and have trouble steering. If you notice any of these symptoms, it’s best to have ...

Abstract: This paper studies the advanced methodologies of differential cryptanalysis with a particular emphasis on higher-order differentials and higher-order differential-linear cryptanalysis, along ...

Deep learning has led to great improvements recently for a number of difficult tasks. In CRYPTO 2019, Gohr innovatively integrated deep learning with differential cryptanalysis, specifically applied ...

We have implemented a Substitution-Permutation network, a type of a Block Cipher and a basis for many modern day symmetric key encryption schemes. This is a Python 2.7.15 implementation of the ...