Recently the concept of ‘Image Steganography’ is became an important issue in the computer security world. Image steganography simply means hide some secret data into an object. The object can be a text, an image or a sound, but the most popular cover object used for hidden secret message is images. A developed detection system is introduced in this paper. The first part of the work includes creating varieties of stego-images. These stego-images are having different image file formats. Also, these stego-images have been done using three steganography tools. They are: OpenStego, S-Tools and F5 algorithm. The created stego-images are used to train the detection system in the next stage. However, the second part of the work includes detecting the hidden data. In order to do so the co-occurrence matrix is created for all images. Number of image features is extracted from the matrix. Later, a discriminator will be used to validate the features selected. These features are needed it to differentiate between the clean images and the stego-images.
|Number of pages||3|
|Journal||International Journal of Modeling and Optimization|
|Publication status||Published - 2013|
- image steganography
- image steganalysis