Digital Steganography Based on Genetic Algorithm

Abstract

Steganography is the art of hiding secret data inside other innocent media file. Steganalysis is the process of detecting hidden data which are crested using steganography. Steganalysis detects stego-images by analyzing various image features between stego-images and cover-images. Therefore, we need to have a system that develops more critical stego-images from which steganalysis cannot detect them. In this chapter, we present a Genetic algorithm-(GA) based method for breaking steganalytic systems. The emphasis is shifted from traditionally avoiding the change of statistic features to artificially counterfeiting the statistic features. Our idea is based on the following: in order to manipulate the statistic features for breaking the inspection of steganalytic systems, the GA-based approach is adopted to counterfeit several stego-images (candidates) until one of them can break the inspection of steganalytic systems.