An efficient method for the detection of employed steganographic algorithm using Discrete Wavelet Transform

Steganalysis, the art and science of deciphering a covert channel to find out any hidden messages is becoming increasingly difficult due to availability of good steganographic software. Image steganalysis, the problem dealt in this work focuses first in identifying the employed steganographic algorithm and using this information in deciphering any hidden data in cover images. Knowledge of the algorithm employed for embedding the secret data will provide a vital clue to the steganalyst in extracting the hidden message. In this work the stego images are decomposed into its approximation and detail sub bands and from the decomposed sub bands, co-occurrence and statistical features are derived. This leads to detection of steganographic algorithm which in turn leads to faster recovery of hidden/secret data.