A novel cryptographic scheme based on wavelet neural networks

Authors:
Guo Chen;Feng Tan;Degang Yang
Affiliations:
Department of Modern Educational Technology, Chongqing Normal University, Chongqing, China;Department of Computer Science and Engineering, Chongqing University, Chongqing, China;Department of Mathematics and Computer Science, Chongqing Normal University, Chongqing, China
Venue:
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Year:
2006

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Abstract

A novel method for encryption based on a wavelet neural network (WNN) is presented. The WNN is trained by a heuristic algorithm and can generate a random sequence which is used for encrypting and decrypting. Furthermore, some simulated experiments, including key space analysis, key sensitivity test, statistical analysis, are performed to substantiate that our scheme can make cipher-text more confusion and diffusion and that the method can resist several attacks, effectively.