Encryption function on artificial neural network
Document Type
Article
Publication Date
1-1-2016
Abstract
Six algorithms that design secrecy keys are used for digital image encryption. The privacy keys generated by stream cipher generators were tested for their randomness applying five tests of randomness. The images generated by applying each algorithm were tested for their regularity and residual intelligibility. The histograms for images ciphered by stream cipher schemes all have approximately flat histogram less information as compared to one-dimensional ciphering algorithms and threshold generator-based image ciphering scheme. Furthermore, the stream cipher schemes were effectively applied to the colored images of 256-color levels of true-color images (24 bit). In this paper, we try to decrypt automatically using artificial neural network by decryption through multilayer perceptron and radial basis function; networks were tested using the interface by calculating the error rates of decrypted images.
Keywords
Artificial neural network, Image encryption, Human–computer interaction, Image decryption, Computer vision
Divisions
fsktm
Publication Title
Neural Computing and Applications
Volume
27
Issue
8
Publisher
Springer Verlag (Germany)