An approach for designing neural cryptography

Authors:
Nankun Mu;Xiaofeng Liao
Affiliations:
College of Computer Science, Chongqing University, Chongqing, China;College of Computer Science, Chongqing University, Chongqing, China
Venue:
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
Year:
2013

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Abstract

Neural cryptography is widely considered as a novel method of exchanging secret key between two neural networks through mutual learning. This paper puts forward a generalized architecture to provide an approach to designing novel neural cryptography. Meanwhile, by taking an in-depth investigation on the security of neural cryptography, a heuristic rule is proposed. These results can effectively guide us to designing secure neural cryptography. Finally, an example is given to demonstrate the effectiveness of the proposed structure and the heuristic rule.