title: Cooperating attackers in neural cryptography.
abstract: A successful attack strategy in neural cryptography is presented. The neural cryptosystem, based on synchronization of neural networks by mutual learning, has been recently shown to be secure under different attack strategies. The success of the advanced attacker presented here, called the "majority-flipping attacker," does not decay with the parameters of the model. This attacker's outstanding success is due to its using a group of attackers which cooperate throughout the synchronization process, unlike any other attack strategy known. An analytical description of this attack is also presented, and fits the results of simulations.
authors.affiliation: Minerva Center and Department of Physics, Bar-Ilan University, Ramat-Gan 52900, Israel.
authors.forename: Lanir N
authors.initials: LN
authors.lastname: Shacham
authors.forename: Einat
authors.initials: E
authors.lastname: Klein
authors.forename: Rachel
authors.initials: R
authors.lastname: Mislovaty
authors.forename: Ido
authors.initials: I
authors.lastname: Kanter
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Kinzel