Accession Number : ADA265778


Title :   Neural Network Identification of Keystream Generators


Descriptive Note : Technical rept. Jan-Mar 93,


Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA DEPT OF MATHEMATICS


Personal Author(s) : Leader, Jeffery J ; Heyman, James E


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a265778.pdf


Report Date : 06 May 1993


Pagination or Media Count : 18


Abstract : 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.


Descriptors :   *NEURAL NETS , *PSEUDO RANDOM SEQUENCES , SIMULATION , CRYPTOGRAPHY , NETWORKS , SHIFT REGISTERS , ATTACK , SPECTRA , GENERATORS


Subject Categories : Electrical and Electronic Equipment


Distribution Statement : APPROVED FOR PUBLIC RELEASE