Neural network based steganography algorithm for still images

Steganographic techniques are being applied across a broad set of different digital technologies. The steganographic method will be used for internet/network security, watermarking and so on. So, the steganography is the process of hiding one medium of communication (Text, Sound, and Image) within another. It can work on JPEG 2000 compressed images & stir Mark images. The new method of steganalysis based on neural network to get the statistics features of images to identify the underlying hidden data. We first extract the features of image embedded information, then input them into neural network to get the output. Experiment result indicates this method is valid in `Steganalysis´ The `Steganalysis´ is the field of detecting the covert messages. Almost all steganalysis consist of hand-crafted tests or human visual inspection to detect whether a file contains a message hidden by a specific steganography algorithm. The neural network in still images is used to overcome the hurdles by hiding the data indirectly into graphical image using neural network algorithm to get cipher bits, The generated cipher bits are then placed in the least significant bit position of the carrier image. The XOR propagation network model is used which acts as a multilayer perceptron.