Title: Neural network identification of keystream generators
Description: Applications such as stream ciphers and spread spectra require the generation of binary      keystreams to implement, and the simulation of such keystreams to break. Most      cryptanalytic attacks are of the known generator type, that is, they assume knowledge of      the method used to generate the keystream. We show that a neural network can be used to      identify the generator, and in some cases to simulate the keystream.... Keystream      generators.
Subjects: NEURAL NETS, PSEUDO RANDOM SEQUENCES