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Retention of secrecy is one of the significant features during communicationactivity. Steganography is one of the popular methods to achieve secretcommunication between sender and receiver by hiding message in any form ofcover media such as an audio, video, text, images etc. Least significant bitencoding is the simplest encoding method used by many steganography programs tohide secret message in 24bit, 8bit colour images and grayscale images.Steganalysis is a method of detecting secret message hidden in a cover mediausing steganography. RS steganalysis is one of the most reliable steganalysiswhich performs statistical analysis of the pixels to successfully detect thehidden message in an image. However, existing steganography method protects theinformation against RS steganalysis in grey scale images. This paper presents asteganography method using genetic algorithm to protect against the RS attackin colour images. Stego image is divided into number of blocks. Subsequently,with the implementation of natural evolution on the stego image using geneticalgorithm enables to achieve optimized security and image quality.

Genetic Algorithm to Make Persistent Security and Quality of Image in Steganography from RS Analysis