A Novel Image Steganography Algorithm Against Statistical Analysis

The least-significant bit (LSB) insertion method is the most common and easiest method for embedding messages in an image with high capacity, while it is detectable by statistical analysis such as RS and Chi-square analyses. This paper has proposed a novel LSB image steganography algorithm that can effectively resist image steganalysis based on statistical analysis. We combine every two sample´s LSB bits using addition modulo 2 (or m) to form the value which is compared to the part of the secret message. If these two values are equal, no change is made. Otherwise, add the difference of these two values to the second sample. Thus, we can embed the part of the secret message effectively. RS and Chi-square analyses are performed on stego-medium created using the steganography technique. The experiment shows that the scheme has the same insertion capacity and SNR as the classic LSB steganography and the proposed method can effectively resist steganalysis based on RS and Chi-square analyses.