Secured Image Transmission Using a Novel Neural Network Approach and Secret Image Sharing Technique

In this paper we have combined both cryptography and steganography techniques. This provides the higher level of secure system in which the secret information can be transferred over any unsecured communication channel and to overcome the threat of intrusion. The presented work aims at secure image transmission where a random encryption algorithm is used to encrypt different shares of stego image, which is created when a secret image and the cover image are embedded together, and produces shares using a secret sharing technique. At the receiving end, decryption of the encrypted shares are done using an artificial neural network and hence eliminating the need of key exchange before the transmission of data which is a prerequisite for most of the general encryption algorithm. Artificial neural network is used to provide high security of data and to produce distortion less decrypted images. The reversible process is used to reconstruct the secret image from the decrypted images. Peak signal to noise ratio, structure similarity and mean square error are used to analyze the quality of stego images. The simulation results show that the secret is reconstructed without loss and the time taken for encryption and decryption is very less.

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