Image Steganalysis Based on Wavelet Transformation

Techniques for information hiding have become increasingly more sophisticated and widespread. Steganalysis has recently received a great deal of attention both from law enforcement and the media. Attacks and analysis on hidden information may take several forms: detecting, extracting, and disabling or destroying hidden information. This paper provides wavelet based approach for image Steganalysis. The detection scheme of the system can be separated in two parts. In the first part, extraction a set of statistics, called the feature vector, for the investigated image. The second part, using a classification algorithm to separate original images from stego images by means of their feature vectors.