Abstract
Steganalysis is a technique to detect the hidden embedded information in the provided data. This study proposes a novel steganalytic algorithm which distinguishes between the normal and the stego image. III level contourlet is exploited in this study. Contourlet is known for its ability to capture the intrinsic geometrical structure of an image. Here, the lowest frequency component of each level is obtained. The pixel distance is taken as 1 and the directions considered are 0, 45, 90 and 180°, respectively. Finally, Support Vector Machine (SVM) is used as the classifier to differentiate between the normal and the stego image. This steganalytic system is tested with DWT, Ridgelet, Contourlet, Curvelet, Bandelet and Shearlet. All these were tested in the aspects of first order, Run length and Gray-Level Co-occurrence Matrix (GLCM) features. Among all these, Contourlet with GLCM shows the maximum accuracy of 98.79% and has the lowest misclassification rate of 1.21 and are presented in graphs.
Highlights
Steganography is the art of embedding any secret information within an object
Among all the methods Contourlet with Gray-Level Co-occurrence Matrix (GLCM) proves 98.79% accuracy in detecting between the normal and the stego image
The misclassification rate, which makes sense that the image that is tested is misclassified as stego while it doesn’t contain any secret message or when it is classified as normal, while the image has got some secret embedded message
Summary
Steganography is the art of embedding any secret information within an object. With the advent of internet, the transfer of image, video and other data files made simpler and is done by most of the population. Every stego system must have a cover medium, an embedding algorithm, a secret message and a secret key. The image with secret message, key and the cover medium are passed into the embedding algorithm. The outcome of this is a stego image, which cannot be claimed that something has been embedded in the image, with naked eye. The goal of steganalysis is to discover the information that is hidden, within the cover object This analysis has to be done without any prior knowledge of the secret key being used to embed and the embedding algorithm. The process of embedding a secret message into a cover medium is steganography and the science of identifying the presence of secret message is steganalysis
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