关键词: 隐写分析, JPEG MB2隐写, 直方图序列, Hilbert-Huang变换, 随机序列分析

Abstract: 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.

Key words: steganalysis, JPEG MB2 stegonagraphy, histogram sequences, Hilbert-Huang Transform (HHT), sequential analysis