Improving the Performance of Least Significant Bit Substitution Steganography against Rs Steganalysis by Minimizing Detection Probability

Steganography is a branch of information hiding. It embeds the secret message in the cover media (e.g. image, audio, video, etc.) to hide the existence of the message. In recent years, many successful steganography methods have been proposed. With the extensive application of steganography, it is challenged by steganalysis. The most notable steganalysis algorithm is the RS attack which detects the stego-message by the statistic analysis of pixel values. To ensure the security against the RS analysis[1], a new steganographic algorithm is presented based on genetic algorithm in this paper. After embedding the secret message in LSB (least significant bit) of the cover image, the pixel values of the stego image are modified by the genetic algorithm[2] to keep their statistic characters. Thus, the existence of the secret message is hard to be detected by the RS analysis. Meanwhile, better visual quality can be achieved by the proposed algorithm. The experimental results demonstrate the proposed algorithm's effectiveness in resistance to steganalysis with better visual quality.