An Optimized Genetic Algorithm-based Approach for Steganography

In this paper, a new steganographic technique was proposed. First, the cover colored image (of type BMP, PNG) transfered to a gray image, then the result divided into many blocks to embed the secret message in an optimaized method by GA (Genetic Algorithm) after using the LSB (Least Significant Bit) technique. The STD (Standard Deviation) was calculated for each block of the image blocks before and after embedding operation besides that the results were compared together, then the GA was used to obtain the Optimized value for the PSNR (Peak Signal-to-Noise Ratio) measure. To improve the performance of the results many measures were used such as BER (Bit Error Rate), MSE (Mean Sequare Error) and PSNR. The implementation was done using Matlab 9b as a programming language because of it's perfect Library of GA.