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Neural cryptography with feedback

Andreas Ruttor·Wolfgang Kinzel·Lanir Shacham·Ido Kanter
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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.

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Andreas Ruttor, Wolfgang Kinzel, Lanir Shacham, Ido Kanter. 2004-07-15. Neural cryptography with feedback. https://doi.org/10.1103/physreve.69.046110

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