Performance Analysis on Various Heuristic Approaches Based on the Image Steganography Quality Improvement

Abstract

Of all the various techniques, Image steganography is one such technique which is employed to broadcast a secret message on the internet. It secures the entire illegal client's private data. Steganography is a process that conceals a text data into a picture in which no one recognizes the subsistence of hidden data. Previously a variety of research works projects many techniques for data covering an image. However, the correctness attained is not ideal when the picture gets recreated. Same time, the accuracy of the image steganography is placing the secret message at right location of the cover image. Moreover, this paper prefers an enhanced method between different heuristic also me metaheuristic procedures applied for steganography. The techniques utilized in this paper for concealing data in the best possible position of the hidden picture are Genetic Algorithm (GA), Artificial Immune System (AIS), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and Artificial Bee Colony (ABC) also they are recreated most favorably. Within MATLAB software entire procedures are researched. Thus the attained results are proved; furthermore they are evaluated among each other in tenures of picture excellence before and after data concealing also they are recreated correspondingly.