Encrypting message in a sound using self organizing map neural network described by a generalized net

This paper describes the process of encrypting message in a sound using artificial neural network. In order to accomplish the task, the process is divided into several steps where each of the steps is described with Generalized net. The main goal is to send an encrypted in a sound message between two persons and if a wrong person receives it he will not be permitted to read the message. The neural network is divided into 27 clusters where each cluster responds to a letter from the English alphabet, the 27th cluster responds to the interval between separate words. When the procedure ends, a random sound is applied to the network for the purpose of finding those areas that correspond to the desirable message.

[1]  Doreen Meier,et al.  Fundamentals Of Neural Networks Architectures Algorithms And Applications , 2016 .

[2]  Ted Painter,et al.  Audio Signal Processing and Coding , 2007 .

[3]  Anil K. Jain,et al.  Artificial Neural Networks: A Tutorial , 1996, Computer.

[4]  Esa Alhoniemi,et al.  Clustering of the self-organizing map , 2000, IEEE Trans. Neural Networks Learn. Syst..

[5]  Sotir Sotirov,et al.  Generalized net model of encrypting message in an image using self organizing map neural network , 2016, 2016 19th International Symposium on Electrical Apparatus and Technologies (SIELA).

[6]  Krassimir T. Atanassov,et al.  Generalized nets , 1991 .

[7]  Martin T. Hagan,et al.  Neural network design , 1995 .