title: Permutation parity machines for neural cryptography.
abstract: Recently, synchronization was proved for permutation parity machines, multilayer feed-forward neural networks proposed as a binary variant of the tree parity machines. This ability was already used in the case of tree parity machines to introduce a key-exchange protocol. In this paper, a protocol based on permutation parity machines is proposed and its performance against common attacks (simple, geometric, majority and genetic) is studied.
authors.affiliation: Institute of Computer Technology, Hamburg University of Technology, D-21071 Hamburg, Germany. omreyes@uis.edu.co
authors.forename: Oscar Mauricio
authors.initials: OM
authors.lastname: Reyes
authors.forename: Karl-Heinz
authors.initials: KH
authors.lastname: Zimmermann