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Neural cryptography with feedback
Citation key Ruttor:2004:NCF
Author Andreas Ruttor and Wolfgang Kinzel and Lanir Shacham and Ido Kanter
Pages 046110
Year 2004
DOI 10.1103/PhysRevE.69.046110
Journal Phys. Rev. E
Volume 69
Number 4
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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