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Neural Network as a Programmable Block Cipher

  • Piotr Kotlarz
  • Zbigniew Kotulski

Abstract

A model of Boolean neural network is proposed as a substitute of a bock cipher. Such a network has functionality of the block cipher and one additional advantage: it can change its cryptographic properties without reprogramming, by training the network with a new training set. The constriction of the network is presented with an analysis of the applied binary transformations. Also three methods of training the network (what corresponds to the re-keying of a block cipher) are presented. Their security and effectiveness are analyzed and compared.

Keywords

Neural Network Encryption Algorithm Block Cipher Server Side Client Side 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Piotr Kotlarz
    • 1
  • Zbigniew Kotulski
    • 2
  1. 1.Kazimierz Wielki UniversityChodkiewicza 30
  2. 2.Institute of Fundamental Technological Research, PAS and Institute of TelecommunicationsWUT

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