Toward encryption with neural network analogy.
Toru Ohira · 2000
We propose here a new model of encryption of binary data taking advan tage of the complexityofdynamics of a model motivated by a neural network with delays. In this scheme, the encryption process is a coupling dynamics with various time delays bet ween differentbits (or neurons) in the original data. It is observed that decoding of the encrypted data may be extremely difficult without a complete knowledge of the coupling manner with associated delays for all bits of the data.