Detector of Information Hiding

This research aims to design and implement a steganalysis process through scanning and testing the tested images, each of 24-bit image, to find out if it contains a hidden information. The stego objects are
embedded using S-Toll, and Developed Stegonography tool that modulate Least Significant Bit (LSB) of the pixel. Using of wavelet transformation of Haar wavelet type  to produce feature vectors of coefficients ,these coefficients are mapped ,then using the ability of Probability Density Function(PDF) to minimize the features that will be use in the statistical tests:-The Standard tools Absolute Value Differences  
(AD), Mean Square Error(MSE), Signal- to- Noise Ratio(SNR), Peak Signal- to- Noise Ratio(PSNR), Normalized Cross –Correlation(NCC) ,Correlation Quality (CQ).and in our research, we used the order statistics,such as:- (Mean, Variance, Skewness, Kurtosis ) .We tested 12 BMP images with different sizes, which had information hiding both steganography and watermarked. Though the system was
tested 12 distinct images ,some were  detected and  some were not, 6 images had information hiding and 6 were clear,  3 of 12 (i.e. 33%)were pass as they were clear, while 2 images were not. The others were  detected . The developed system is implemented using Visual Basic programming language version 6, provides by Windows environments (XP, Me), and the resulted obtained are encouraging.