Steganalysis based on co-ocurrence matrix in DCT domain for JPEG images
基于DCT域共生矩阵的JPEG图像隐写分析

A new steganalysis scheme based on co-occurrence matrix in DCT domain for JPEG images was proposed. A total of 120 dimensional feature vectors were derived from the co-occurrence matrix, which was calculated directly in DCT domain and was sensitive to the data embedding process. Then, SVM was used to classify the 120 dimensional feature vectors. The experimental results for 4 kinds of popular JPEG steganographic schemes (F5, Outguess, Model based steganography with and without deblocking) have demonstrated that the proposed scheme outperforms the existing steganalysis techniques in both detection rate and speed.