Step to improve neural cryptography against flipping attacks

Abstract

Synchronization of neural networks by mutual learning has been demonstrated to be possible for constructing key exchange protocol over public channel. However, the neural cryptography schemes presented so far are not the securest under regular flipping attack (RFA) and are completely insecure under majority flipping attack (MFA). We propose a scheme by… (More)
DOI: 10.1142/S0129065704002145

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