Steganalysis of Intra Prediction Mode and Motion Vector-based Steganography by Noise Residual Convolutional Neural Network

摘要

In this paper,we present a universal steganalysis method for both intra prediction mode and motion vector-based steganography based on deep learning.Since the embedding process is eventually reflected in the modification of pixel values in decoded frames,we design a Noise Residual Convolutional Neural Network(NR-CNN)from the perspective of the spatial domain,which is the first CNN-based approach for this subject.In NR-CNN,feature extraction and classification modules are integrated into a unified and trainable network framework.It automatically learns features and implements classification in a data-driven manner,which effectively solves the existing problems.Experimental results show that NR-CNN has better performance of steganalysis than the related method.