title: Neural cryptography with feedback.
abstract: Neural cryptography is based on a competition between attractive and repulsive stochastic forces. A feedback mechanism is added to neural cryptography which increases the repulsive forces. Using numerical simulations and an analytic approach, the probability of a successful attack is calculated for different model parameters. Scaling laws are derived which show that feedback improves the security of the system. In addition, a network with feedback generates a pseudorandom bit sequence which can be used to encrypt and decrypt a secret message.
authors.affiliation: Institut für Theoretische Physik, Universität Würzburg, Am Hubland, 97074 Würzburg, Germany.
authors.forename: Andreas
authors.initials: A
authors.lastname: Ruttor
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Kinzel
authors.forename: Lanir
authors.initials: L
authors.lastname: Shacham
authors.forename: Ido
authors.initials: I
authors.lastname: Kanter