sjaishanker/Cryptanalysis-Using-Deep-Neural-Networks

We have proposed the optimized deep neural network approach for cryptanalysis of symmetric encryption algorithm 64-bit DES (Data encryption standard). Our approach has used backpropagation techniques with multiple hidden layers and advanced activation functions also we have addressed the problem of vanishing gradient. Further, the implementation results show that we have achieved 90% accuracy which is significantly higher as compared to previous approaches.

Python