Distributed Computing Solution for Steganography Using Visual Cryptography and Genetic Algorithm

Abstract

Photo steganography is a rising research field for improvising secure data hiding and transmission over the network. The base concept of the proposed system which is Least Significant Bit (LSB) based Steganography along with Visual Cryptography using Genetic Algorithm is implemented over a network of distributed systems connected to each other via LAN. The original message is converted into cipher text and then hidden into the Least Significant Bit – LSB of the original image. Visual Cryptography and Genetic Algorithm are implemented for enhancing the security. Genetic Algorithm is basically used to modify the pixel location of steganography image and thus making the detection of the message complex. To encrypt the visual information, Visual Cryptography is used. To achieve it, we break the image into two shares based on a given threshold. The complete workload of the above proposed systems is divided among Distributed Systems with the help MPI, NFS and SSH and the work is done in parallel among the machines in the distributed network. The purpose of the proposed method is to improve the speed of execution of the enhanced secure algorithm to make the proposed system viable to larger data and a wider spectrum of applications.