Steganalysis for JPEG MB2 steganography based on histogram differentiation random sequence
Dongqing Xie · Journal of Computer Applications · 2011
Based on the Discrete Cosine Transform(DCT) coefficient histogram difference sequences of JPEG images,a new steganalytic method was proposed to realize the steganalysis of JPEG MB2.DCT coefficient histogram difference sequences based on JPEG images were defined as a measure of the correlation between JPEG images and its Cauchy fitting distributed model,and then the measure was used to construct the classification feature sequences to discriminate the stego-image from the carrier-image.The Hilbert-Huang transform decomposed the sequences with empirical mode and constructed Hilbert-oriented characteristic vectors.The experimental results demonstrate the correct rate to detect the hiding message achieves 84.48% with Support Vector Machines(SVM) classifier.The approach is also applicable for JPEG MB1 steganalysis.