Neural Cryptography
Disordered Systems and Neural Networks
2007-05-23 v1 Statistical Mechanics
Abstract
Two neural networks which are trained on their mutual output bits show a novel phenomenon: The networks synchronize to a state with identical time dependent weights. It is shown how synchronization by mutual learning can be applied to cryptography: secret key exchange over a public channel.
Cite
@article{arxiv.cond-mat/0208453,
title = {Neural Cryptography},
author = {Wolfgang Kinzel and Ido Kanter},
journal= {arXiv preprint arXiv:cond-mat/0208453},
year = {2007}
}
Comments
9th International Conference on Neural Information Processing, Singapore, Nov. 2002