Neural Network Identification of Keystream Generators

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.

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Document Details

Document Type
Technical Report
Publication Date
May 06, 1993
Accession Number
ADA265778

Entities

People

  • James E. Heyman
  • Jeffery J. Leader

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Computer Programming
  • Computers
  • Demographic Cohorts
  • Fingerprints
  • Generators
  • Identification
  • Mathematics
  • Networks
  • Neural Networks
  • Schools
  • Security
  • Sequences
  • Shift Registers
  • Simulations
  • Spread Spectrum

Fields of Study

  • Computer science
  • Mathematics

Readers

  • Computer Programming and Software Development.
  • Neural Network Machine Learning.
  • Strategic Security Studies

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks