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most citedDynamics of neural cryptography

65 citations · 161 across the 5 of their papers we have counts for

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Showing cond-mat.dis-nnShow all

6 papers · 1 filter

cond-mat.dis-nn20079 cited

Neural Synchronization and Cryptography

Andreas Ruttor

Neural networks can synchronize by learning from each other. In the case of discrete weights full synchronization is achieved in a finite number of steps. Additional networks can b…

cond-mat.dis-nn200665 cited

Dynamics of neural cryptography

Andreas Ruttor, Wolfgang Kinzel, Ido Kanter

Synchronization of neural networks has been used for novel public channel protocols in cryptography. In the case of tree parity machines the dynamics of both bidirectional synchron…

cond-mat.dis-nn2005

Genetic attack on neural cryptography

Andreas Ruttor, Wolfgang Kinzel, Rivka Naeh +1

Different scaling properties for the complexity of bidirectional synchronization and unidirectional learning are essential for the security of neural cryptography. Incrementing the…

cond-mat.dis-nn200422 cited

Neural cryptography with queries

Andreas Ruttor, Wolfgang Kinzel, Ido Kanter

Neural cryptography is based on synchronization of tree parity machines by mutual learning. We extend previous key-exchange protocols by replacing random inputs with queries depend…

cond-mat.dis-nn200417 cited

Synchronization of random walks with reflecting boundaries

Andreas Ruttor, Georg Reents, Wolfgang Kinzel

Reflecting boundary conditions cause two one-dimensional random walks to synchronize if a common direction is chosen in each step. The mean synchronization time and its standard de…

cond-mat.dis-nn200348 cited

Neural cryptography with feedback

Andreas Ruttor, Wolfgang Kinzel, Lanir Shacham +1

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…