Public key Cryptography Based on Chaotic Neural Network

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Provided by: RS Publication
Topic: Security
Format: PDF
In this paper, a public key cryptography system based on Chaotic Neural Network (CNN) is used to encrypt and decrypt a digital image. The most traditional public key cryptography is based on number theory which has some drawbacks such as large computational power, complexity, and time consumption. To overcome these drawbacks, a new chaotic neural network is introduced used multidimensional chaotic maps as a chaotic sequence for determined the neural network weight and basis through five layers of networks and additional layer for public key using Chebyshev chaotic map as a chaotic sequence for basis neural network.
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