Neural cryptography with feedback

Details Neural cryptography with feedback Neural cryptography with feedback

2003-11-26

arxiv.org/abs/cond-mat/0311607v2

Phys. Rev. E 69, 046110 (2004)

Physics

Condensed Matter

Disordered Systems and Neural Networks

8 pages, 10 figures; abstract changed, references updated

Scientific paper

10.1103/PhysRevE.69.046110

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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