Robustness of Steganography Image Method Using Dynamic Management Position of Least Significant Bit (LSB)

Steganography is used to hide information in the process of data communication. The data that can be hidden are either the texts or images. Hiding image in an image means that the pixel values of the secret image will be embedded in an image called cover image. The challenge is that the cover image should not be damaged even if the embedding process changes the pixel values. Steganography methods have various ways to embed a secret message hidden. This research will use one of the methods called the Least Significant Bit (LSB) and the method will be combined with a dynamic management position of placement of the message. The aim of combining method is to make the robustness method that can be implemented using various size and type of hidden images as the secret message. The robustness method will ensure that the embedded process result called stego-image should be reversible correctly. Measurement of damaging image uses the parameters of similarity image quality that are Mean Square Error, Peak Signal to Noise Ratio and Root Mean Square Error. The result shows good quality of similarity image and the method can recover the secret image from the image cover.